AI is developing all the time. Here are some picks from several articles what is expected to happen in AI and around it in 2025. Here are picks from various articles, the texts are picks from the article edited and in some cases translated for clarity.
AI in 2025: Five Defining Themes
https://news.sap.com/2025/01/ai-in-2025-defining-themes/
Artificial intelligence (AI) is accelerating at an astonishing pace, quickly moving from emerging technologies to impacting how businesses run. From building AI agents to interacting with technology in ways that feel more like a natural conversation, AI technologies are poised to transform how we work.
But what exactly lies ahead?
1. Agentic AI: Goodbye Agent Washing, Welcome Multi-Agent Systems
AI agents are currently in their infancy. While many software vendors are releasing and labeling the first “AI agents” based on simple conversational document search, advanced AI agents that will be able to plan, reason, use tools, collaborate with humans and other agents, and iteratively reflect on progress until they achieve their objective are on the horizon. The year 2025 will see them rapidly evolve and act more autonomously. More specifically, 2025 will see AI agents deployed more readily “under the hood,” driving complex agentic workflows.
In short, AI will handle mundane, high-volume tasks while the value of human judgement, creativity, and quality outcomes will increase.
2. Models: No Context, No Value
Large language models (LLMs) will continue to become a commodity for vanilla generative AI tasks, a trend that has already started. LLMs are drawing on an increasingly tapped pool of public data scraped from the internet. This will only worsen, and companies must learn to adapt their models to unique, content-rich data sources.
We will also see a greater variety of foundation models that fulfill different purposes. Take, for example, physics-informed neural networks (PINNs), which generate outcomes based on predictions grounded in physical reality or robotics. PINNs are set to gain more importance in the job market because they will enable autonomous robots to navigate and execute tasks in the real world.
Models will increasingly become more multimodal, meaning an AI system can process information from various input types.
3. Adoption: From Buzz to Business
While 2024 was all about introducing AI use cases and their value for organizations and individuals alike, 2025 will see the industry’s unprecedented adoption of AI specifically for businesses. More people will understand when and how to use AI, and the technology will mature to the point where it can deal with critical business issues such as managing multi-national complexities. Many companies will also gain practical experience working for the first time through issues like AI-specific legal and data privacy terms (compared to when companies started moving to the cloud 10 years ago), building the foundation for applying the technology to business processes.
4. User Experience: AI Is Becoming the New UI
AI’s next frontier is seamlessly unifying people, data, and processes to amplify business outcomes. In 2025, we will see increased adoption of AI across the workforce as people discover the benefits of humans plus AI.
This means disrupting the classical user experience from system-led interactions to intent-based, people-led conversations with AI acting in the background. AI copilots will become the new UI for engaging with a system, making software more accessible and easier for people. AI won’t be limited to one app; it might even replace them one day. With AI, frontend, backend, browser, and apps are blurring. This is like giving your AI “arms, legs, and eyes.”
5. Regulation: Innovate, Then Regulate
It’s fair to say that governments worldwide are struggling to keep pace with the rapid advancements in AI technology and to develop meaningful regulatory frameworks that set appropriate guardrails for AI without compromising innovation.
12 AI predictions for 2025
This year we’ve seen AI move from pilots into production use cases. In 2025, they’ll expand into fully-scaled, enterprise-wide deployments.
https://www.cio.com/article/3630070/12-ai-predictions-for-2025.html
This year we’ve seen AI move from pilots into production use cases. In 2025, they’ll expand into fully-scaled, enterprise-wide deployments.
1. Small language models and edge computing
Most of the attention this year and last has been on the big language models — specifically on ChatGPT in its various permutations, as well as competitors like Anthropic’s Claude and Meta’s Llama models. But for many business use cases, LLMs are overkill and are too expensive, and too slow, for practical use.
“Looking ahead to 2025, I expect small language models, specifically custom models, to become a more common solution for many businesses,”
2. AI will approach human reasoning ability
In mid-September, OpenAI released a new series of models that thinks through problems much like a person would, it claims. The company says it can achieve PhD-level performance in challenging benchmark tests in physics, chemistry, and biology. For example, the previous best model, GPT-4o, could only solve 13% of the problems on the International Mathematics Olympiad, while the new reasoning model solved 83%.
If AI can reason better, then it will make it possible for AI agents to understand our intent, translate that into a series of steps, and do things on our behalf, says Gartner analyst Arun Chandrasekaran. “Reasoning also helps us use AI as more of a decision support system,”
3. Massive growth in proven use cases
This year, we’ve seen some use cases proven to have ROI, says Monteiro. In 2025, those use cases will see massive adoption, especially if the AI technology is integrated into the software platforms that companies are already using, making it very simple to adopt.
“The fields of customer service, marketing, and customer development are going to see massive adoption,”
4. The evolution of agile development
The agile manifesto was released in 2001 and, since then, the development philosophy has steadily gained over the previous waterfall style of software development.
“For the last 15 years or so, it’s been the de-facto standard for how modern software development works,”
5. Increased regulation
At the end of September, California governor Gavin Newsom signed a law requiring gen AI developers to disclose the data they used to train their systems, which applies to developers who make gen AI systems publicly available to Californians. Developers must comply by the start of 2026.
There are also regulations about the use of deep fakes, facial recognition, and more. The most comprehensive law, the EU’s AI Act, which went into effect last summer, is also something that companies will have to comply with starting in mid-2026, so, again, 2025 is the year when they will need to get ready.
6. AI will become accessible and ubiquitous
With gen AI, people are still at the stage of trying to figure out what gen AI is, how it works, and how to use it.
“There’s going to be a lot less of that,” he says. But gen AI will become ubiquitous and seamlessly woven into workflows, the way the internet is today.
7. Agents will begin replacing services
Software has evolved from big, monolithic systems running on mainframes, to desktop apps, to distributed, service-based architectures, web applications, and mobile apps. Now, it will evolve again, says Malhotra. “Agents are the next phase,” he says. Agents can be more loosely coupled than services, making these architectures more flexible, resilient and smart. And that will bring with it a completely new stack of tools and development processes.
8. The rise of agentic assistants
In addition to agents replacing software components, we’ll also see the rise of agentic assistants, adds Malhotra. Take for example that task of keeping up with regulations.
Today, consultants get continuing education to stay abreast of new laws, or reach out to colleagues who are already experts in them. It takes time for the new knowledge to disseminate and be fully absorbed by employees.
“But an AI agent can be instantly updated to ensure that all our work is compliant with the new laws,” says Malhotra. “This isn’t science fiction.”
9. Multi-agent systems
Sure, AI agents are interesting. But things are going to get really interesting when agents start talking to each other, says Babak Hodjat, CTO of AI at Cognizant. It won’t happen overnight, of course, and companies will need to be careful that these agentic systems don’t go off the rails.
Companies such as Sailes and Salesforce are already developing multi-agent workflows.
10. Multi-modal AI
Humans and the companies we build are multi-modal. We read and write text, we speak and listen, we see and we draw. And we do all these things through time, so we understand that some things come before other things. Today’s AI models are, for the most part, fragmentary. One can create images, another can only handle text, and some recent ones can understand or produce video.
11. Multi-model routing
Not to be confused with multi-modal AI, multi-modal routing is when companies use more than one LLM to power their gen AI applications. Different AI models are better at different things, and some are cheaper than others, or have lower latency. And then there’s the matter of having all your eggs in one basket.
“A number of CIOs I’ve spoken with recently are thinking about the old ERP days of vendor lock,” says Brett Barton, global AI practice leader at Unisys. “And it’s top of mind for many as they look at their application portfolio, specifically as it relates to cloud and AI capabilities.”
Diversifying away from using just a single model for all use cases means a company is less dependent on any one provider and can be more flexible as circumstances change.
12. Mass customization of enterprise software
Today, only the largest companies, with the deepest pockets, get to have custom software developed specifically for them. It’s just not economically feasible to build large systems for small use cases.
“Right now, people are all using the same version of Teams or Slack or what have you,” says Ernst & Young’s Malhotra. “Microsoft can’t make a custom version just for me.” But once AI begins to accelerate the speed of software development while reducing costs, it starts to become much more feasible.
9 IT resolutions for 2025
https://www.cio.com/article/3629833/9-it-resolutions-for-2025.html
1. Innovate
“We’re embracing innovation,”
2. Double down on harnessing the power of AI
Not surprisingly, getting more out of AI is top of mind for many CIOs.
“I am excited about the potential of generative AI, particularly in the security space,”
3. And ensure effective and secure AI rollouts
“AI is everywhere, and while its benefits are extensive, implementing it effectively across a corporation presents challenges. Balancing the rollout with proper training, adoption, and careful measurement of costs and benefits is essential, particularly while securing company assets in tandem,”
4. Focus on responsible AI
The possibilities of AI grow by the day — but so do the risks.
“My resolution is to mature in our execution of responsible AI,”
“AI is the new gold and in order to truly maximize it’s potential, we must first have the proper guardrails in place. Taking a human-first approach to AI will help ensure our state can maintain ethics while taking advantage of the new AI innovations.”
5. Deliver value from generative AI
As organizations move from experimenting and testing generative AI use cases, they’re looking for gen AI to deliver real business value.
“As we go into 2025, we’ll continue to see the evolution of gen AI. But it’s no longer about just standing it up. It’s more about optimizing and maximizing the value we’re getting out of gen AI,”
6. Empower global talent
Although harnessing AI is a top objective for Morgan Stanley’s Wetmur, she says she’s equally committed to harnessing the power of people.
7. Create a wholistic learning culture
Wetmur has another talent-related objective: to create a learning culture — not just in her own department but across all divisions.
8. Deliver better digital experiences
Deltek’s Cilsick has her sights set on improving her company’s digital employee experience, believing that a better DEX will yield benefits in multiple ways.
Cilsick says she first wants to bring in new technologies and automation to “make things as easy as possible,” mirroring the digital experiences most workers have when using consumer technologies.
“It’s really about leveraging tech to make sure [employees] are more efficient and productive,”
“In 2025 my primary focus as CIO will be on transforming operational efficiency, maximizing business productivity, and enhancing employee experiences,”
9. Position the company for long-term success
Lieberman wants to look beyond 2025, saying another resolution for the year is “to develop a longer-term view of our technology roadmap so that we can strategically decide where to invest our resources.”
“My resolutions for 2025 reflect the evolving needs of our organization, the opportunities presented by AI and emerging technologies, and the necessity to balance innovation with operational efficiency,”
Lieberman aims to develop AI capabilities to automate routine tasks.
“Bots will handle common inquiries ranging from sales account summaries to HR benefits, reducing response times and freeing up resources for strategic initiatives,”
Not just hype — here are real-world use cases for AI agents
https://venturebeat.com/ai/not-just-hype-here-are-real-world-use-cases-for-ai-agents/
Just seven or eight months ago, when a customer called in to or emailed Baca Systems with a service question, a human agent handling the query would begin searching for similar cases in the system and analyzing technical documents.
This process would take roughly five to seven minutes; then the agent could offer the “first meaningful response” and finally begin troubleshooting.
But now, with AI agents powered by Salesforce, that time has been shortened to as few as five to 10 seconds.
Now, instead of having to sift through databases for previous customer calls and similar cases, human reps can ask the AI agent to find the relevant information. The AI runs in the background and allows humans to respond right away, Russo noted.
AI can serve as a sales development representative (SDR) to send out general inquires and emails, have a back-and-forth dialogue, then pass the prospect to a member of the sales team, Russo explained.
But once the company implements Salesforce’s Agentforce, a customer needing to modify an order will be able to communicate their needs with AI in natural language, and the AI agent will automatically make adjustments. When more complex issues come up — such as a reconfiguration of an order or an all-out venue change — the AI agent will quickly push the matter up to a human rep.
Open Source in 2025: Strap In, Disruption Straight Ahead
Look for new tensions to arise in the New Year over licensing, the open source AI definition, security and compliance, and how to pay volunteer maintainers.
https://thenewstack.io/open-source-in-2025-strap-in-disruption-straight-ahead/
The trend of widely used open source software moving to more restrictive licensing isn’t new.
In addition to the demands of late-stage capitalism and impatient investors in companies built on open source tools, other outside factors are pressuring the open source world. There’s the promise/threat of generative AI, for instance. Or the shifting geopolitical landscape, which brings new security concerns and governance regulations.
What’s ahead for open source in 2025?
More Consolidation, More Licensing Changes
The Open Source AI Debate: Just Getting Started
Security and Compliance Concerns Will Rise
Paying Maintainers: More Cash, Creativity Needed
Kyberturvallisuuden ja tekoälyn tärkeimmät trendit 2025
https://www.uusiteknologia.fi/2024/11/20/kyberturvallisuuden-ja-tekoalyn-tarkeimmat-trendit-2025/
1. Cyber infrastructure will be centered on a single, unified security platform
2. Big data will give an edge against new entrants
3. AI’s integrated role in 2025 means building trust, governance engagement, and a new kind of leadership
4. Businesses will adopt secure enterprise browsers more widely
5. AI’s energy implications will be more widely recognized in 2025
6. Quantum realities will become clearer in 2025
7. Security and marketing leaders will work more closely together
Presentation: For 2025, ‘AI eats the world’.
https://www.ben-evans.com/presentations
Just like other technologies that have gone before, such as cloud and cybersecurity automation, right now AI lacks maturity.
https://www.securityweek.com/ai-implementing-the-right-technology-for-the-right-use-case/
If 2023 and 2024 were the years of exploration, hype and excitement around AI, 2025 (and 2026) will be the year(s) that organizations start to focus on specific use cases for the most productive implementations of AI and, more importantly, to understand how to implement guardrails and governance so that it is viewed as less of a risk by security teams and more of a benefit to the organization.
Businesses are developing applications that add Large Language Model (LLM) capabilities to provide superior functionality and advanced personalization
Employees are using third party GenAI tools for research and productivity purposes
Developers are leveraging AI-powered code assistants to code faster and meet challenging production deadlines
Companies are building their own LLMs for internal use cases and commercial purposes.
AI is still maturing
However, just like other technologies that have gone before, such as cloud and cybersecurity automation, right now AI lacks maturity. Right now, we very much see AI in this “peak of inflated expectations” phase and predict that it will dip into the “trough of disillusionment”, where organizations realize that it is not the silver bullet they thought it would be. In fact, there are already signs of cynicism as decision-makers are bombarded with marketing messages from vendors and struggle to discern what is a genuine use case and what is not relevant for their organization.
There is also regulation that will come into force, such as the EU AI Act, which is a comprehensive legal framework that sets out rules for the development and use of AI.
AI certainly won’t solve every problem, and it should be used like automation, as part of a collaborative mix of people, process and technology. You simply can’t replace human intuition with AI, and many new AI regulations stipulate that human oversight is maintained.
7 Splunk Predictions for 2025
https://www.splunk.com/en_us/form/future-predictions.html
AI: Projects must prove their worth to anxious boards or risk defunding, and LLMs will go small to reduce operating costs and environmental impact.
OpenAI, Google and Anthropic Are Struggling to Build More Advanced AI
Three of the leading artificial intelligence companies are seeing diminishing returns from their costly efforts to develop newer models.
https://www.bloomberg.com/news/articles/2024-11-13/openai-google-and-anthropic-are-struggling-to-build-more-advanced-ai
Sources: OpenAI, Google, and Anthropic are all seeing diminishing returns from costly efforts to build new AI models; a new Gemini model misses internal targets
It Costs So Much to Run ChatGPT That OpenAI Is Losing Money on $200 ChatGPT Pro Subscriptions
https://futurism.com/the-byte/openai-chatgpt-pro-subscription-losing-money?fbclid=IwY2xjawH8epVleHRuA2FlbQIxMQABHeggEpKe8ZQfjtPRC0f2pOI7A3z9LFtFon8lVG2VAbj178dkxSQbX_2CJQ_aem_N_ll3ETcuQ4OTRrShHqNGg
In a post on X-formerly-Twitter, CEO Sam Altman admitted an “insane” fact: that the company is “currently losing money” on ChatGPT Pro subscriptions, which run $200 per month and give users access to its suite of products including its o1 “reasoning” model.
“People use it much more than we expected,” the cofounder wrote, later adding in response to another user that he “personally chose the price and thought we would make some money.”
Though Altman didn’t explicitly say why OpenAI is losing money on these premium subscriptions, the issue almost certainly comes down to the enormous expense of running AI infrastructure: the massive and increasing amounts of electricity needed to power the facilities that power AI, not to mention the cost of building and maintaining those data centers. Nowadays, a single query on the company’s most advanced models can cost a staggering $1,000.
Tekoäly edellyttää yhä nopeampia verkkoja
https://etn.fi/index.php/opinion/16974-tekoaely-edellyttaeae-yhae-nopeampia-verkkoja
A resilient digital infrastructure is critical to effectively harnessing telecommunications networks for AI innovations and cloud-based services. The increasing demand for data-rich applications related to AI requires a telecommunications network that can handle large amounts of data with low latency, writes Carl Hansson, Partner Solutions Manager at Orange Business.
AI’s Slowdown Is Everyone Else’s Opportunity
Businesses will benefit from some much-needed breathing space to figure out how to deliver that all-important return on investment.
https://www.bloomberg.com/opinion/articles/2024-11-20/ai-slowdown-is-everyone-else-s-opportunity
Näin sirumarkkinoilla käy ensi vuonna
https://etn.fi/index.php/13-news/16984-naein-sirumarkkinoilla-kaey-ensi-vuonna
The growing demand for high-performance computing (HPC) for artificial intelligence and HPC computing continues to be strong, with the market set to grow by more than 15 percent in 2025, IDC estimates in its recent Worldwide Semiconductor Technology Supply Chain Intelligence report.
IDC predicts eight significant trends for the chip market by 2025.
1. AI growth accelerates
2. Asia-Pacific IC Design Heats Up
3. TSMC’s leadership position is strengthening
4. The expansion of advanced processes is accelerating.
5. Mature process market recovers
6. 2nm Technology Breakthrough
7. Restructuring the Packaging and Testing Market
8. Advanced packaging technologies on the rise
2024: The year when MCUs became AI-enabled
https://www-edn-com.translate.goog/2024-the-year-when-mcus-became-ai-enabled/?fbclid=IwZXh0bgNhZW0CMTEAAR1_fEakArfPtgGZfjd-NiPd_MLBiuHyp9qfiszczOENPGPg38wzl9KOLrQ_aem_rLmf2vF2kjDIFGWzRVZWKw&_x_tr_sl=en&_x_tr_tl=fi&_x_tr_hl=fi&_x_tr_pto=wapp
The AI party in the MCU space started in 2024, and in 2025, it is very likely that there will be more advancements in MCUs using lightweight AI models.
Adoption of AI acceleration features is a big step in the development of microcontrollers. The inclusion of AI features in microcontrollers started in 2024, and it is very likely that in 2025, their features and tools will develop further.
Just like other technologies that have gone before, such as cloud and cybersecurity automation, right now AI lacks maturity.
https://www.securityweek.com/ai-implementing-the-right-technology-for-the-right-use-case/
If 2023 and 2024 were the years of exploration, hype and excitement around AI, 2025 (and 2026) will be the year(s) that organizations start to focus on specific use cases for the most productive implementations of AI and, more importantly, to understand how to implement guardrails and governance so that it is viewed as less of a risk by security teams and more of a benefit to the organization.
Businesses are developing applications that add Large Language Model (LLM) capabilities to provide superior functionality and advanced personalization
Employees are using third party GenAI tools for research and productivity purposes
Developers are leveraging AI-powered code assistants to code faster and meet challenging production deadlines
Companies are building their own LLMs for internal use cases and commercial purposes.
AI is still maturing
AI Regulation Gets Serious in 2025 – Is Your Organization Ready?
While the challenges are significant, organizations have an opportunity to build scalable AI governance frameworks that ensure compliance while enabling responsible AI innovation.
https://www.securityweek.com/ai-regulation-gets-serious-in-2025-is-your-organization-ready/
Similar to the GDPR, the EU AI Act will take a phased approach to implementation. The first milestone arrives on February 2, 2025, when organizations operating in the EU must ensure that employees involved in AI use, deployment, or oversight possess adequate AI literacy. Thereafter from August 1 any new AI models based on GPAI standards must be fully compliant with the act. Also similar to GDPR is the threat of huge fines for non-compliance – EUR 35 million or 7 percent of worldwide annual turnover, whichever is higher.
While this requirement may appear manageable on the surface, many organizations are still in the early stages of defining and formalizing their AI usage policies.
Later phases of the EU AI Act, expected in late 2025 and into 2026, will introduce stricter requirements around prohibited and high-risk AI applications. For organizations, this will surface a significant governance challenge: maintaining visibility and control over AI assets.
Tracking the usage of standalone generative AI tools, such as ChatGPT or Claude, is relatively straightforward. However, the challenge intensifies when dealing with SaaS platforms that integrate AI functionalities on the backend. Analysts, including Gartner, refer to this as “embedded AI,” and its proliferation makes maintaining accurate AI asset inventories increasingly complex.
Where frameworks like the EU AI Act grow more complex is their focus on ‘high-risk’ use cases. Compliance will require organizations to move beyond merely identifying AI tools in use; they must also assess how these tools are used, what data is being shared, and what tasks the AI is performing. For instance, an employee using a generative AI tool to summarize sensitive internal documents introduces very different risks than someone using the same tool to draft marketing content.
For security and compliance leaders, the EU AI Act represents just one piece of a broader AI governance puzzle that will dominate 2025.
The next 12-18 months will require sustained focus and collaboration across security, compliance, and technology teams to stay ahead of these developments.
The Global Partnership on Artificial Intelligence (GPAI) is a multi-stakeholder initiative which aims to bridge the gap between theory and practice on AI by supporting cutting-edge research and applied activities on AI-related priorities.
https://gpai.ai/about/#:~:text=The%20Global%20Partnership%20on%20Artificial,activities%20on%20AI%2Drelated%20priorities.
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Tomi Engdahl says:
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Tomi Engdahl says:
Shirin Ghaffary / Bloomberg:
Anthropic launches Claude for Financial Services, aiming to help analysts conduct market research and handle due diligence, with data from FactSet and others
https://www.bloomberg.com/news/articles/2025-07-15/openai-rival-anthropic-courts-finance-industry-with-new-ai-tools
Tomi Engdahl says:
Brian Krebs / Krebs on Security:
Researcher: a DOGE staffer inadvertently published a private API key for xAI on GitHub on July 13, exposing access to 52+ LLMs, including “grok-4-0709” — Marko Elez, a 25-year-old employee at Elon Musk’s Department of Government Efficiency (DOGE), has been granted access …
https://krebsonsecurity.com/2025/07/doge-denizen-marko-elez-leaked-api-key-for-xai/
Tomi Engdahl says:
Tekoäly on tuhottu: Ihminen voitti kaksintaistelun
Šakkimestari Magnus Carlsen esitteli sosiaalisessa mediassa viestinvaihtoaan tekoälyn kanssa.
https://www.iltalehti.fi/muutlajit/a/04adbce3-8ca9-4613-a527-09f090050643
Tekoäly myönsi 34-vuotiaan suurmestarin paremmakseen.
Hävittyään tekoäly kehui Carlsenin pelitaitoja. ChatGPT analysoi, että norjalainen aloitti pelin taitavasti, oli siirroissaan kärsivällinen ja osoitti taktista hahmotuskykyä sekä hallitsi pelin loppuvaiheen siirrot vaikuttavalla tavalla.
Tomi Engdahl says:
Reuters:
At an expo in Beijing, Jensen Huang hails AI models from DeepSeek, Alibaba, and Tencent as “world class” and says AI is “revolutionizing” supply chains — Nvidia (NVDA.O) CEO Jensen Huang described artificial intelligence models from Chinese firms Deepseek, Alibaba …
Nvidia to boost H20 chip sales to China after US export restrictions ease
https://www.reuters.com/world/china/nvidias-huang-hails-chinese-ai-models-world-class-2025-07-16/
CEO Huang aims to increase H20 chip supply for China
H20 chip sales resume after US-China export talks
Nvidia also developing RTX Pro GPU for Chinese market
Tomi Engdahl says:
Jonathan Greig / The Record:
Google says its Big Sleep AI agent for finding unknown software vulnerabilities recently discovered a critical SQLite flaw that “was at risk of being exploited” — Google said a large language model it developed to find vulnerabilities recently discovered a bug that hackers were preparing to use.
Google says ‘Big Sleep’ AI tool found bug hackers planned to use
https://therecord.media/google-big-sleep-ai-tool-found-bug
Tomi Engdahl says:
Maxwell Zeff / TechCrunch:
In a paper, AI researchers from OpenAI, Google DeepMind, Anthropic, and others recommend further research into chain-of-thought monitorability for AI safety — AI researchers from OpenAI, Google DeepMind, Anthropic, and a broad coalition of companies and nonprofit groups …
Research leaders urge tech industry to monitor AI’s ‘thoughts’
https://techcrunch.com/2025/07/15/research-leaders-urge-tech-industry-to-monitor-ais-thoughts/
Tomi Engdahl says:
Reuters:
Mira Murati’s Thinking Machines Lab raised a $2B seed led by a16z at a $12B valuation; Nvidia, Accel, ServiceNow, Cisco, AMD, and Jane Street also invested — Thinking Machines Lab, the artificial intelligence startup founded by former OpenAI executive Mira Murati, said on Tuesday it has raised …
Mira Murati’s AI startup Thinking Machines valued at $12 billion in early-stage funding
https://www.reuters.com/technology/mira-muratis-ai-startup-thinking-machines-raises-2-billion-a16z-led-round-2025-07-15/
The massive funding round for a company launched only in February, with no revenue or products yet, underscores Murati’s ability to attract investors in a sector where top executives have become coveted targets in an escalating talent war.
Tomi Engdahl says:
Calvin French-Owen:
A former OpenAI engineer details his experience working at the company, including its culture, engineering practices, rapid growth, and the launch of Codex — I left OpenAI three weeks ago. I had joined the company back in May 2024. — I wanted to share my reflections because there’s …
https://calv.info/openai-reflections
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Emanuel Maiberg / 404 Media:
Hugging Face users have uploaded 5,000 AI models, previously banned from Civitai for generating nonconsensual sexual content of real people, to the platform — Hugging Face, a company with a multi-billion dollar valuation and one of the most commonly used platforms for sharing AI tools and resources …
https://www.404media.co/hugging-face-is-hosting-5-000-nonconsensual-ai-models-of-real-people/
Tomi Engdahl says:
Stephanie Palazzolo / The Information:
Source: OpenAI is preparing ChatGPT agents to let users create files compatible with PowerPoint and Excel, generate reports, and handle tasks involving websites — As OpenAI tries to turn ChatGPT into a core application for white-collar work, it’s developing agent features …
https://www.theinformation.com/articles/openai-preps-chatgpt-agents-challenge-microsoft-excel-powerpoint
Tomi Engdahl says:
Ichiro Lambe / Totally Human Media:
Analysis: 7,818 titles on Steam disclose generative AI usage, or 7% of Steam’s total library of 114,126 games, up from ~1,000 titles in April 2024 — A year ago, I poked around Steam to see how many game developers were disclosing usage of Generative AI. It was around 1,000, which seemed like a lot to me at the time.
The NEW Surprising Number of Steam Games that Use GenAI
https://www.totallyhuman.io/blog/the-surprising-new-number-of-genai-games-on-steam
Tomi Engdahl says:
Rebecca Bellan / TechCrunch:
Mistral releases Voxtral, its first open-source AI audio model family, and says Voxtral Mini Transcribe outperforms OpenAI Whisper for less than half the price
https://techcrunch.com/2025/07/15/mistral-releases-voxtral-its-first-open-source-ai-audio-model/
Tomi Engdahl says:
Russell Brandom / TechCrunch:
Claude Code, Gemini CLI, and CLI Codex, terminal-based AI tools launched since February, have surprisingly gained ground on AI code editors with traditional UIs
AI coding tools are shifting to a surprising place: The terminal
https://techcrunch.com/2025/07/15/ai-coding-tools-are-shifting-to-a-surprising-place-the-terminal/
For years, code-editing tools like Cursor, Windsurf, and GitHub’s Copilot have been the standard for AI-powered software development. But as agentic AI grows more powerful and vibe coding takes off, a subtle shift has changed how AI systems are interacting with software.
Instead of working on code, they’re increasingly interacting directly with the shell of whatever system they’re installed in. It’s a significant change in how AI-powered software development happens — and despite the low profile, it could have significant implications for where the field goes from here.
The terminal is best known as the black-and-white screen you remember from ’90s hacker movies — a very old-school way of running programs and manipulating data. It’s not as visually impressive as contemporary code editors, but it’s an extremely powerful interface if you know how to use it. And while code-based agents can write and debug code, terminal tools are often needed to get software from written code to something that can actually be used.
The clearest sign of the shift to the terminal has come from major labs. Since February, Anthropic, DeepMind, and OpenAI have all released command-line coding tools (Claude Code, Gemini CLI, and CLI Codex, respectively), and they’re already among the companies’ most popular products.
That shift has been easy to miss, since they’re largely operating under the same branding as previous coding tools. But under the hood, there have been real changes in how agents interact with other computers, both online and offline. Some believe those changes are just getting started.
“Our big bet is that there’s a future in which 95% of LLM-computer interaction is through a terminal-like interface,” says Mike Merrill, co-creator of the leading terminal-focused benchmark Terminal-Bench.
Tomi Engdahl says:
Matt Day / Bloomberg:
Amazon’s 2024 sustainability report says it emitted 68.25M metric tons of carbon dioxide equivalent, up 6% from 2023 and the first rise in three years
https://www.bloomberg.com/news/articles/2025-07-16/amazon-s-emissions-climbed-6-in-2024-on-data-center-buildout
Tomi Engdahl says:
Matt Day / Bloomberg:
Microsoft’s Copilot struggles to make headway against rival AI assistants; Sensor Tower says Copilot’s mobile app has ~79M downloads, far below ChatGPT’s 900M+ — Tyson Jominy routinely summons Microsoft Corp.’s AI assistant by tapping the Copilot key on his computer. Not because he means to.
https://www.bloomberg.com/news/articles/2025-07-16/microsoft-s-copilot-challenge-900-million-chatgpt-downloads
Tomi Engdahl says:
Will Knight / Wired:
Reflection, co-founded by ex-Google researchers, unveils Asimov, an AI agent that reads a company’s codebase, docs, and more to help software engineering teams — The mission? Teaching models to better understand how to build code will lead to superintelligent AI.
Former Top Google Researchers Have Made a New Kind of AI Agent
The mission? Teaching models to better understand how to build code will lead to superintelligent AI.
https://www.wired.com/story/former-top-google-researchers-have-made-a-new-kind-of-ai-agent/
A new kind of artificial intelligence agent, trained to understand how software is built by gorging on a company’s data and learning how this leads to an end product, could be both a more capable software assistant and a small step toward much smarter AI.
Tomi Engdahl says:
Drones, AI and Robot Pickers: Meet the Fully Autonomous Farm
New technologies are paving the way for farms that can run themselves, with minimal human input
https://www.wsj.com/tech/autonomous-farming-ai-95657bd1?st=2hXira&reflink=desktopwebshare_permalink
In the verdant hills of Washington state’s Palouse region, Andrew Nelson’s tractor hums through the wheat fields on his 7,500-acre farm. Inside the cab, he’s not gripping the steering wheel—he’s on a Zoom call or checking messages.
A software engineer and fifth-generation farmer, Nelson, 41, is at the vanguard of a transformation that is changing the way we grow and harvest our food. The tractor isn’t only driving itself; its array of sensors, cameras, and analytic software is also constantly deciding where and when to spray fertilizer or whack weeds.
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Many modern farms already use GPS-guided tractors and digital technology such as farm-management software systems. Now, advances in artificial intelligence mean that the next step—the autonomous farm, with only minimal human tending—is finally coming into focus.
Tomi Engdahl says:
Steven Zeitchik / The Hollywood Reporter:
AI is already transforming Hollywood, as studios and production companies experiment with AI tools and labor groups warn of job losses and other consequences — The technology is already transforming the industry — and could forever change the entertainment we consume. But the battle to contain it has just begun.
Rise of the Machines: Inside Hollywood’s AI Civil War
https://www.hollywoodreporter.com/business/digital/ai-future-hollywood-creativity-1236315046/
The technology is already transforming the industry — and could forever change the entertainment we consume. But the battle to contain it has just begun.
In June, Disney and Universal filed a copyright-infringement lawsuit against the image-generation company Midjourney. Alleging a “bottomless pit of plagiarism,” the companies are seeking to stop the startup — and its much larger and better-funded competitors — from grabbing all the movies they’ve made to feed into its model.
“If a Midjourney subscriber submits a simple text prompt requesting an image of the character Darth Vader in a particular setting or doing a particular action, Midjourney obliges by generating and displaying a high quality, downloadable image featuring Disney’s copyrighted Darth Vader character,” the complaint says.
Studio executives sit on a strange fault line of the AI insurgency, thrilled by the production money they can save in an ever-chillier climate for their product, yet terrified that consumers might look to save their own money and just make the product themselves.
In June, Disney and Universal filed a copyright-infringement lawsuit against the image-generation company Midjourney. Alleging a “bottomless pit of plagiarism,” the companies are seeking to stop the startup — and its much larger and better-funded competitors — from grabbing all the movies they’ve made to feed into its model.
“If a Midjourney subscriber submits a simple text prompt requesting an image of the character Darth Vader in a particular setting or doing a particular action, Midjourney obliges by generating and displaying a high quality, downloadable image featuring Disney’s copyrighted Darth Vader character,” the complaint says.
Studio executives sit on a strange fault line of the AI insurgency, thrilled by the production money they can save in an ever-chillier climate for their product, yet terrified that consumers might look to save their own money and just make the product themselves.
James Cameron Is Worried About an AI Nuclear Arms Race – IGN The Fix: Entertainment
https://www.youtube.com/watch?v=P6hs-Sl9WTE
Tomi Engdahl says:
Moneycontrol:
Perplexity is offering a free one-year Perplexity Pro subscription, normally $20/month, to 360M users of Bharti Airtel, India’s second-largest telecom operator
https://www.moneycontrol.com/mccode/loginConsent.php?url=https://www.moneycontrol.com/artificial-intelligence/airtel-to-offer-free-1-year-perplexity-pro-subscription-to-its-customers-article-13288457.html
Tomi Engdahl says:
Jagmeet Singh / TechCrunch:
Bengaluru-based QpiAI, which is integrating AI and quantum computing for enterprise use cases, raised a $32M Series A at a $162M post-money valuation
India eyes global quantum computer push — and QpiAI is its chosen vehicle
https://techcrunch.com/2025/07/16/india-eyes-global-quantum-computer-push-and-qpiai-is-its-chosen-vehicle/
Tomi Engdahl says:
Jordan Novet / CNBC:
OpenAI says it will use the Google Cloud Platform for ChatGPT and its API, adding it to a list of suppliers that also includes Microsoft, CoreWeave, and Oracle
OpenAI says it will use Google’s cloud for ChatGPT
https://www.cnbc.com/2025/07/16/openai-googles-cloud-chatgpt.html
Key Points
Google’s cloud division has a major new client.
OpenAI will rely on Google Cloud Platform for ChatGPT and its application programming interface in several countries.
OpenAI will use the Google Cloud Platform, as well as Microsoft, CoreWeave and Oracle.
Tomi Engdahl says:
Financial Times:
Sources: OpenAI aims to integrate a checkout system into ChatGPT, to ensure users complete transactions within the platform, with merchants paying a commission
OpenAI to take cut of ChatGPT shopping sales in hunt for revenues
Artificial intelligence start-up has shown brands a prototype of its new checkout feature
https://www.ft.com/content/449102a2-d270-4d68-8616-70bfbaf212de
OpenAI plans to take a cut from online product sales made directly through ChatGPT, as the Sam Altman-led group looks to further develop ecommerce features in the hunt for new revenues.
The San Francisco-based company currently displays products on the platform with an option to click through links to online retailers. It also announced a partnership with payments group Shopify in April.
According to multiple people familiar with the proposals, it now aims to integrate a checkout system into ChatGPT, which ensures users complete transactions within the platform. Merchants that receive and fulfil orders in this way will pay a commission to OpenAI.
The ecommerce push marks a strategic shift for the lossmaking start-up, valued at $300bn, which has made revenue primarily from subscriptions to premium services.
Taking a cut of sales from ChatGPT would allow the company to make money from users of its free version, a so-far untapped source of revenue.
OpenAI’s move also represents a further threat to Google’s business model, as consumers increasingly move to AI chatbots to conduct searches and discover products.
The feature is still in development, so the details may change. However, OpenAI and partners such as Shopify have been presenting early versions to brands and discussing financial terms, these people added.
Shopify offers checkout technology that can be integrated into other online services. It already works with social media platforms, for instance underpinning TikTok’s shopping feature.
ChatGPT’s product recommendations are currently generated based on whether they are relevant to the user’s query and other available context, such as memory or instructions, like a specified budget.
OpenAI has recently enhanced its memory, which allows the model to remember user preferences and provide more personalised responses.
However, when a user clicks on a product, OpenAI “may show a list of merchants offering it”, according to its website.
Tomi Engdahl says:
Casey Newton / Platformer:
xAI’s Grok is rated for kids aged 12 and up in the iOS App Store, despite adding “companions”; one includes an NSFW “Bad Rudy” mode and the other becomes NSFW
Grok’s new porn companion is rated for kids 12+ in the App Store
https://www.platformer.news/grok-ani-app-store-rating-nsfw-avatar-apple/
AI companions are arriving faster than platforms can build guardrails around them. Parents need to pay attention
Tomi Engdahl says:
Zac Bowden / Windows Central:
Microsoft begins testing a Windows 11 feature for sharing the entire desktop with Copilot Vision; it requires first entering a special mode in the Copilot app
Microsoft begins testing sharing your desktop with Copilot on Windows 11 — allows AI to view and chat about what’s on your screen
News
By Zac Bowden published yesterday
https://www.windowscentral.com/microsoft/windows-11/microsoft-begins-testing-sharing-your-desktop-with-copilot-on-windows-11-allows-ai-to-view-and-chat-about-whats-on-your-screen
First announced earlier this year, sharing your desktop with Copilot on Windows 11 is now in testing with insiders across all preview channels.
Tomi Engdahl says:
Rachyl Jones / Semafor:
AWS rolls out Amazon Bedrock AgentCore in preview to help businesses deploy and operate AI agents that analyze internal data, write code, and handle other tasks
Amazon launches AI agent-building platform for businesses to help boost productivity
https://www.semafor.com/article/07/16/2025/amazon-launches-ai-agent-building-platform-for-businesses-to-help-boost-productivity
Amazon Web Services on Wednesday launched a platform to help businesses build a web of connected AI agents to analyze internal data, write code, and take on other tasks, freeing up employees to do more creative and strategic work.
The customizable service, called Amazon Bedrock AgentCore, is being rolled out at a time of high anxiety among employees about job cuts because of AI, with Ford CEO Jim Farley saying earlier this month that the technology would replace about half of US white-collar workers.
The Amazon platform, announced by the company’s vice president of agentic AI Swami Sivasubramanian at its AWS Summit in New York, is a preview of how AI agents will soon become commonplace at the office. They can run in the background for up to eight hours, and they support the popular MCP and A2A protocols, allowing them to communicate with other agents outside of a company.
“AgentCore is this next big step from building agents for fun to entire organizations switching to agentic AI, which has the potential to be as transformative as the internet,” Deepak Singh, vice president of developer agents and experiences, told Semafor.
Tomi Engdahl says:
Hayden Field / The Verge:
OpenAI debuts ChatGPT Agent, which can control an entire computer and perform multi-step tasks, powered by a new dedicated model, rolling out to paid users — One employee uses it to automate his weekly parking requests at OpenAI’s San Francisco office.
OpenAI’s new ChatGPT Agent can control an entire computer and do tasks for you
https://www.theverge.com/ai-artificial-intelligence/709158/openai-new-release-chatgpt-agent-operator-deep-research
One employee uses it to automate his weekly parking requests at OpenAI’s San Francisco office.
OpenAI is going all in on the most-hyped trend in AI right now: AI agents, or tools that go a step beyond chatbots to complete complex, multi-step tasks on a user’s behalf. The company on Thursday debuted ChatGPT Agent, which it bills as a tool that can complete work on your behalf using its own “virtual computer.”
In a briefing and demo with The Verge, Yash Kumar and Isa Fulford — product lead and research lead on ChatGPT Agent, respectively — said it’s powered by a new model that OpenAI developed specifically for the product. The company said the new tool can perform tasks like looking at a user’s calendar to brief them on upcoming client meetings, planning and purchasing ingredients to make a family breakfast, and creating a slide deck based on its analysis of competing companies.
The model behind ChatGPT Agent, which has no specific name, was trained on complex tasks that require multiple tools — like a text browser, visual browser, and terminal where users can import their own data — via reinforcement learning, the same technique used for all of OpenAI’s reasoning models. OpenAI said that ChatGPT Agent combines the capabilities of both Operator and Deep Research, two of its existing AI tools.
To develop the new tool, the company combined the teams behind both Operator and Deep Research into one unified team. Kumar and Fulford told The Verge that the new team is made up of between 20 and 35 people across product and research.
In the demo, Kumar and Fulford demonstrated potential use cases for ChatGPT Agent, like asking it to plan a date night by connecting to Google Calendar to see when the user has a free evening, and then cross-referencing OpenTable to find openings at certain types of restaurants. They also showed how a user could interrupt the process by adding, say, another restaurant category to search for. Another demonstration showed how ChatGPT Agent could generate a research report on the rise of Labubus versus Beanie Babies.
Fulford said she enjoyed using it for online shopping because the combination of tech behind Deep Research and Operator worked better and was more thorough than trying the process solely using Operator.
And Kumar said he had begun using ChatGPT Agent to automate small parts of his life, like requesting new office parking at OpenAI every Thursday instead of showing up Monday having forgotten to request it with nowhere to park.
Kumar said that since ChatGPT Agent has access to “an entire computer” instead of just a browser, they’ve “enhanced the toolset quite a bit.”
According to the demo, though, the tool can be a bit slow. When asked about latency, Kumar said their team is more focused on “optimizing for hard tasks” and that users aren’t meant to sit and watch ChatGPT Agent work.
“Even if it takes 15 minutes, half an hour, it’s quite a big speed-up compared to how long it would take you to do it,”
Tomi Engdahl says:
Reece Rogers / Wired:
ChatGPT Agent uses a virtual browser to do tasks such as filling online forms and calling public APIs, and generates downloadable PowerPoint and Excel files — It’s a PowerPoint generator! It’s a date-night planner! It’s … another agent from OpenAI. — Isa Fulford, the research lead …
OpenAI’s New ChatGPT Agent Tries to Do It All
It’s a PowerPoint generator! It’s a date-night planner! It’s … another agent from OpenAI.
https://www.wired.com/story/openai-chatgpt-agent-launch/
Tomi Engdahl says:
Dan Shipper / Every:
Hands-on with ChatGPT Agent: combines OpenAI’s Operator and deep research tools and is incredibly simple to use, but less customizable than Claude Code — It’s launching today! Here’s our day-zero, hands-on report. … Surprise! Operator and deep research had a baby, and it’s called ChatGPT Agent.
Vibe Check: OpenAI Enters the Browser Wars With ChatGPT Agent
https://every.to/vibe-check/vibe-check-openai-enters-the-browser-wars-with-chatgpt-agent
It’s launching today! Here’s our day-zero, hands-on report.
Tomi Engdahl says:
Bloomberg:
Sources: Meta hired AI researchers Mark Lee, from Apple’s Foundation Models team, and Tom Gunter, who left Apple in June, for its superintelligence lab — Meta Platforms Inc. hired a pair of key artificial intelligence researchers who worked at Apple Inc., shortly after poaching their former boss from the iPhone maker.
https://www.bloomberg.com/news/articles/2025-07-17/meta-hires-two-key-apple-ai-experts-after-poaching-their-boss
Tomi Engdahl says:
Russell Brandom / TechCrunch:
Claude Code users, many on the $200-a-month Max plan, are unexpectedly facing restrictive usage limits; Anthropic says it’s “working to resolve these issues” — Since Monday morning, Claude Code users have been hit with unexpectedly restrictive usage limits.
Anthropic tightens usage limits for Claude Code – without telling users
https://techcrunch.com/2025/07/17/anthropic-tightens-usage-limits-for-claude-code-without-telling-users/
Since Monday morning, Claude Code users have been hit with unexpectedly restrictive usage limits. The problems, many of which have been aired on Claude Code’s GitHub page, seem to be concentrated among heavy users of the service, many of whom are on the $200-a-month Max plan.
Users are only told “Claude usage limit reached,” and given a time (typically within a matter of hours) when the limit will reset. But with no explicit announcement of a change in limits, many users have concluded that their subscription has been downgraded or that their usage is being inaccurately tracked.
“Your tracking of usage limits has changed and is no longer accurate,” one user complained. “There is no way in the 30 minutes of a few requests I have hit the 900 messages.”
When reached for comment, an Anthropic representative confirmed the issues but declined to elaborate further. “We’re aware that some Claude Code users are experiencing slower response times,” the representative said, “and we’re working to resolve these issues.”
The change has been alarming for users, who received no advance notice of the changes and no guidance on what to expect going forward. One user, who asked not to be identified, said it has been impossible to advance his project since the usage limits came into effect. “It just stopped the ability to make progress,” the user told TechCrunch. “I tried Gemini and Kimi, but there’s really nothing else that’s competitive with the capability set of Claude Code right now.”
These problems have emerged alongside broader issues within Anthropic’s network. Many API users reported overload errors during the same period, and the company’s status page shows six separate issues during the past four days. Notably, the network still shows 100% uptime for the week.
While loading errors are commonplace, Anthropic’s new approach to usage limits has caused significant confusion among users, many of whom were unaware they were subject to usage limits. Part of the confusion comes from Anthropic’s pricing system, which sets tiered limits without ever guaranteeing a set level of access. The most expensive Max plan, priced at $200 a month, promises usage limits 20 times higher than a Pro subscription. The Pro plan, in turn, offers limits five times higher than the free plan. But Anthropic says the free user limit “will vary by demand” and does not set an absolute value. The result leaves users unable to plan around usage limits, since they have no clear idea of when their service will be restricted.
The $200 Max plan has been particularly popular among heavy users of the service
“Just be transparent,” he said. “The lack of communication just causes people to lose confidence in them.”
Tomi Engdahl says:
Matthias Bastian / The Decoder:
Google’s Veo 3 video generation model launches on the Gemini API, with an eight-second video costing $6, making it one of the most expensive AI video options — Google’s Veo 3 video generation model is now available through the Gemini API, with a price point that puts it among the more expensive options for AI video.
AI in practice
Jul 17, 2025
Google’s Veo 3 video generation model launches on Gemini API with a hefty price tag
https://the-decoder.com/googles-veo-3-video-generation-model-launches-on-gemini-api-with-a-hefty-price-tag/
Google’s Veo 3 video generation model is now available through the Gemini API, with a price point that puts it among the more expensive options for AI video.
The Gemini API integration targets developers looking to bring advanced video generation into their own apps or build production-ready prototypes. For now, the API is limited to text-to-video, but image-to-video support—already live in the Gemini app—is on the way. Veo 3 is Google’s first model that can generate high-resolution video and synchronized audio from a single text prompt. It creates visuals, dialog, music, and sound effects all at once.
To help developers get started, Google AI Studio offers an SDK template and a starter app for quick prototyping. Access requires an active Google Cloud project with billing enabled. Google says Veo 3 has already been used millions of times across the Gemini app, Flow, and Vertex AI.
$0.75 per second for video with audio
Veo 3 access through the Gemini API is only available on Google Cloud’s paid tier. Pricing is $0.75 per second for 720p, 24fps video with audio in 16:9 format—25 cents more than Veo 2, which did not include sound. Google has also announced a “Veo 3 Fast” mode that’s both faster and cheaper, but it’s not yet available for the API.
At current rates, an eight-second video costs $6, and a five-minute video costs $225. Because generating the perfect result often takes multiple tries, costs can rise quickly. For example, if you need ten times as much footage to end up with five minutes of usable video, the total cost could reach $2,250. Still, Google is likely betting that for some use cases, this might be cheaper than traditional video production.
Summary
Google has made its Veo 3 AI video model available through the Gemini API, allowing users to generate high-resolution videos with synchronized soundtracks, including dialog, music, and sound effects, from text descriptions.
Access to Veo 3 via the Gemini API is priced at $0.75 per second for 720p videos with audio under the “Paid Tier.”
Developers can integrate Veo 3 into their own apps, with Google AI Studio offering an SDK template and a starter application to help with implementation.
Tomi Engdahl says:
Thalia Beaty / Associated Press:
An advisory board convened by OpenAI recommends that the company remain a nonprofit because AI is “too consequential” to be governed by a corporation alone — OpenAI should continue to be controlled by a nonprofit because the artificial intelligence technology it is developing is …
OpenAI’s advisory board calls for continued and strengthened nonprofit oversight
https://apnews.com/article/openai-nonprofit-sam-altman-dolores-huerta-1b6625fbe429c2d81ab19c33e0a522e7
Tomi Engdahl says:
Blake Brittain / Reuters:
A US judge rules that three authors suing Anthropic can bring a class action on behalf of all US writers whose books Anthropic allegedly pirated to train its AI
US authors suing Anthropic can band together in copyright class action, judge rules
https://www.reuters.com/legal/government/us-authors-suing-anthropic-can-band-together-copyright-class-action-judge-rules-2025-07-17/
Tomi Engdahl says:
Jake Rudnitsky / Bloomberg:
Swedish AI coding startup Lovable raised a $200M Series A led by Accel at a $1.8B valuation, making it Europe’s newest unicorn; Lovable was founded in 2023
https://www.bloomberg.com/news/articles/2025-07-17/swedish-vibe-coding-firm-lovable-hits-1-8-billion-valuation
Tomi Engdahl says:
Parmy Olson / Bloomberg:
Big Tech’s acquihires of AI startups, like Meta’s $14.3B Scale AI deal, leaves investors with modest or no returns and may further entrench Big Tech’s dominance
https://www.bloomberg.com/opinion/articles/2025-07-17/meta-google-ai-talent-grab-may-spur-a-silicon-valley-rethink
Tomi Engdahl says:
Rebecca Bellan / TechCrunch:
Mistral adds new features to its Le Chat chatbot, including a new “deep research” mode, native multilingual reasoning, and advanced image editing
https://techcrunch.com/2025/07/17/mistrals-le-chat-chatbot-gets-a-productivity-push-with-new-deep-research-mode/
Tomi Engdahl says:
Thalia Beaty / Associated Press:
The Gates Foundation, Ballmer Group, and others form NextLadder to spend $1B over 15 years to develop AI tools for public defenders, parole officers, and more
https://apnews.com/article/artificial-intelligence-economic-inequality-gates-foundation-stand-together-5c84fa707ba8275a7afb2bc5245c286d
Tomi Engdahl says:
Read the full story: https://www.independent.co.uk/arts-entertainment/tv/news/netflix-ai-the-eternaut-b2791588.html?utm_medium=social&utm_source=facebook&utm_campaign=picturepost
Netflix confirms use of AI to help make ‘better and cheaper’ films and TV shows
‘The creators were thrilled with the result,’ said Netflix executive Ted Sarandos
Netflix has used generative AI in one of its shows for the first time in a move to help make “cheaper” and “better” films and TV series.
After Netflix released its second-quarter results on Thursday (17 July), co-chief executive Ted Sarandos confirmed with analysts that Argentinian sci-fi show The Eternaut had become the first show to use AI on the platform.
“We remain convinced that AI represents an incredible opportunity to help creators make films and series better, not just cheaper,” said the 60-year-old.
Praising the work of the visual effects team, he added: “Using AI-powered tools, they were able to achieve an amazing result with remarkable speed and, in fact, that VFX sequence was completed 10 times faster than it could have been completed with traditional VFX tools and workflows.”
Sarandos also championed the fact that AI allowed the show, which has a small budget, to have convincing effects that otherwise “wouldn’t have been feasible” for a project that size.
The executive also moved to dispel any fears about AI replacing anyone’s role in the film and TV industry, claiming that those using the tools have seen the “benefits in production through pre-visualisation and shot planning work, and certainly visual effects”.
The use of AI in film has been a hot topic as of late, with the likes of Robert Downey Jr and James Gunn firmly speaking out against the technology, whereas individuals such as James Cameron and Ben Affleck have embraced it.
AI was a large area of focus during the 2023 dispute between Sag-Aftra, the US’s biggest union of actors and screen performers, and Hollywood studios.
Tomi Engdahl says:
Kaikkea tietoa ei kuulu syöttää ilmaisiin tekoälypalveluihin, AI Finland -yritysverkoston operatiivinen johtaja Iida Lähdemäki muistuttaa.
Henkilötiedot – esimerkiksi kotiosoitteet, henkilötunnukset ja terveystiedot – eivät kuulu ilmaissovelluksiin.
Tilaa tästä Talouselämän maksuton uutiskirje
Myöskään työhön liittyviä luottamuksellisia tietoja, kuten asiakastietoja, liikesalaisuuksia, tai muuta yrityksen sisälle tarkoitettua tietoja ei kuulu syöttää ilmaisiin tekoälysovelluksiin. Tilanne kuitenkin muuttuu heti, kun puhutaan yrityksen maksullisista tekoälylisensseistä.
https://www.talouselama.fi/uutiset/a/ba20635d-1391-4688-8c4f-3d3d55768b04
”Kuluttajille tarkoitettuja maksullisia sovelluksia tai yritysversioita voi käyttää selvästi tietoturvallisemmin – ne eivät käytä syötettyjä tietoja mallin kouluttamiseen, eivätkä tiedot päädy ulkopuolisille”, Lähdemäki valottaa.
Yleisesti tekoälysovellusten tietoturvaan tulee suhtautua samalla tavalla kuin minkä tahansa digitaalisen palvelun.
Lähdemäen mukaan töissä on myös hyvä huomioida se, että yrityksen sisällä käytössä olevalle tekoälysovellukselle ei kannata syöttää mitään tietoa, mitä ei voisi vuotaa muille yrityksen osastoille.
”Mikäli tekoälyyn tulee syöttäneeksi arkaluonteista sisältöä, pahimmassa tapauksessa se voi päätyä toisen käyttäjän käyttöön, ja voi tulla paljastaneeksi liikesalaisuuden tai rikkoneeksi EU:n GDPR-tietosuoja-asetusta” Lähdemäki paljastaa.
Tietoturvaa suuremmaksi haasteeksi Lähdemäki tunnistaa sen, että generatiivista tekoälyä ei vielä toistaiseksi hyödynnetä tarpeeksi.
”Tekoälyä voitaisiin hyödyntää paljon aktiivisemmin. Mikäli yritys ei itse tarjoa työntekijöille sopivia tekoälytyökaluja, monelle tulee houkutus käyttää omia työkaluja, omilla säännöillä – siellä piilee isompi riski”, Lähdemäki muistuttaa.
Tomi Engdahl says:
https://www.talouselama.fi/uutiset/a/fd563eaf-c482-46f1-9d09-1cab11ec8c7f
Nyt se tapahtui: OpenAI lanseeraa tekoälyagentin – ”Mahdolliset riskit ovat suuria”
OpenAI:n toimitusjohtaja Sam Altman kehottaa varovaisuuteen tekoälyagentin käytössä.
Tekoälyagentti voi suorittaa monivaiheisia tehtäviä. Ideana on, että agentti oppii käyttäjänsä tarpeista ja mukautuu niihin.
Altman käyttää esimerkkinä ystävän häihin valmistautumista. Käyttäjä voi pyytää tekoälyagenttia valmistelemaan kaiken häitä varten. Tämän jälkeen agentti esimerkiksi varaa lentoliput ja ostaa asun sekä häälahjan käyttäjän tarpeiden mukaan.
”Vaikka hyöty on merkittävä, myös mahdolliset riskit ovat suuria”, Altman muistuttaa.
Hänen mukaansa teknologia on kokeellista ja uutta.
Tomi Engdahl says:
Anton Shilov / Tom’s Hardware:
At the 2025 RISC-V Summit in China, Nvidia says CUDA will now be compatible with RISC-V’s instruction set architecture, making RISC-V a viable x86 and Arm rival
Nvidia’s CUDA platform now supports RISC-V — support brings open source instruction set to AI platforms, joining x86 and Arm
https://www.tomshardware.com/pc-components/gpus/nvidias-cuda-platform-now-supports-risc-v-support-brings-open-source-instruction-set-to-ai-platforms-joining-x86-and-arm
Tomi Engdahl says:
GenAI Doesn’t Just Increase Productivity. It Expands Capabilities.
https://www.bcg.com/publications/2024/gen-ai-increases-productivity-and-expands-capabilities
Tomi Engdahl says:
ChatGPT Agent Wants You to Hand Over Full Control of Your Computer
https://gizmodo.com/chatgpt-agent-wants-you-to-hand-over-full-control-of-your-computer-2000630925
OpenAI is trying to leave behind the restrictive walls of a chatbot text box and expand into every nook and cranny of your device. On Thursday, the company announced ChatGPT Agent, its foray into the growing “agentic” space that allows artificial intelligence models to perform specific tasks.
According to the company, the ChatGPT Agent uses a virtual computer to handle specific requests from start to finish. The company offered examples like “look at my calendar and brief me on upcoming client meetings based on recent news,”
Tomi Engdahl says:
Professori: Google-haun tekoäly-yhteenvetoa ei kannata käyttää
Tekoäly|Googlen tekoäly-yhteenvetoa ei voi kytkeä pois päältä, mikä on ongelmallista, kertoo professori Hannu Toivonen Helsingin yliopistosta.
https://www.hs.fi/suomi/art-2000011369326.html
Lue tiivistelmä
Googlen tekoäly-yhteenvetoa ei voi kytkeä pois päältä, mikä on ongelmallista, kertoo professori Hannu Toivonen Helsingin yliopistosta.
Yhteenvedot voivat kymmenkertaistaa Googlen energiankulutuksen ja hiilidioksidipäästöt.
Toivonen vinkkaa vaihtamaan hakukonetta välttääkseen tekoäly-yhteenvedot ja suojellakseen yksityisyyttä.
Sulje
GOOGLen tekoäly-yhteenvetoa ei lähtökohtaisesti kannata käyttää, kertoo Helsingin yliopiston tietojenkäsittelytieteen professori Hannu Toivonen.
Ongelma on, ettei sitä saa kytkettyä pois päältä. Google-haun tekoäly-yhteenvedot ilmestyivät itsepintaiseksi osaksi suomalaisten tiedonhakua tänä keväänä.
Joitakin epävirallisia keinoja yhteenvetojen poistamiseksi on löydetty: Google-haun perään voi kirjoittaa ”-ai”, ja Toivosen mukaan myös joillain kirosanoilla yhteenveto katoaa. Hän kuitenkin huomauttaa, että ne saattavat ainoastaan estää yhteenvedon näyttämisen, eivät sen luomista.
Pelkkä näyttämättä jättäminen ei auta hillitsemään yhteenvetojen mittavia ilmastovaikutuksia.
Toivosen mukaan on arvioitu, että tekoäly-yhteenvedot kymmenkertaistavat Google-hakujen jo valmiiksi valtavan energiankulutuksen. Hiilidioksidipäästöt nousisivat 250 kilotonnista 2 500 kilotonniin vuodessa.
Toivonen viittaa tutkimukseen, jossa arvioitiin, että jos kaikissa Google-hauissa hyödynnettäisiin generatiivista tekoälyä, kuten tekoälyn tekemiä yhteenvetoja, Googlen tekoälyn energiankulutus olisi pahimmillaan koko Irlannin vuosittaisen sähkönkulutuksen kokoluokkaa.
”Puhutaan siis mielettömästä resurssien – sanotaan suoraan – tuhlaamisesta.”
Tehokkain keino paeta tekoäly-yhteenvetoja onkin käyttää eri hakukonetta, Toivonen toteaa. Hän suosittelee esimerkiksi Duckduckgo-hakukonetta.
Hakukoneen vaihtamisella voi suojella myös omaa yksityisyyttään. Toivonen arvioi, että tekoäly-yhteenvetojen yksi tavoite on pitää käyttäjät mahdollisimman tiukasti Googlen sivuilla.
Google saa kerättyä tietoa käyttäjistä sitä paremmin, mitä suuremmilta osin nämä pysyvät sen omilla sivuilla.
”Googlella on likimain monopoli ihmisten nettihakuihin ja niistä saatavaan tietoon. Ei haittaisi, jos kilpailua olisi enemmän”, Toivonen selittää.
yhteenvetoon ei myöskään voi varauksetta luottaa. Tekoäly poimii ja muokkaa vastauksia verkkosivuilta, mutta sivuilla voi olla virheellisiä tietoja, kontekstistaan irrotetut tiedot voivat antaa väärän vaikutelman ja kielimalli voi muokata tietoja harhaanjohtavasti.
Tomi Engdahl says:
Tekoäly mullistaa teknologiakonsultoinnin – ”Vaikutus on valtava”
Aleksi Kolehmainen15.7.202512:00TekoälyDigitalousJohtaminen
IBM:n uusi Suomen-toimitusjohtaja Matias Karvinen uskoo, että tekoäly tuo merkittäviä muutoksia myös teknologiakonsultointiin, ja sen hyödyt näkyvät jo nyt.
https://www.tivi.fi/uutiset/a/b5542944-1d53-4237-ad22-f36c1514e211
Tomi Engdahl says:
Nyt se tapahtui: OpenAI lanseeraa tekoälyagentin – ”Mahdolliset riskit ovat suuria”
OpenAI:n toimitusjohtaja Sam Altman kehottaa varovaisuuteen tekoälyagentin käytössä.
https://www.kauppalehti.fi/uutiset/a/8633fbcb-f9d3-477a-ad3a-68d7950c75c8
Tomi Engdahl says:
https://www.verkkouutiset.fi/a/tyrmays-vaitteisiin-tekoalysta-pelottelu-menee-liian-pitkalle/#fb485f67
Tomi Engdahl says:
https://www.bcg.com/publications/2024/gen-ai-increases-productivity-and-expands-capabilities
Tomi Engdahl says:
Introducing Nebius MCP Server: The LLM-native way to manage your AI Cloud
https://nebius.com/blog/posts/introducing-nebius-mcp-server?utm_source=facebook&utm_medium=cpc&utm_campaign=Facebook_all_all_lgen_promopost-july-25_cloud&utm_content=audience_app-dev%20-%20Copy&fbclid=IwQ0xDSwLoA7lleHRuA2FlbQEwAGFkaWQBqyL3sQ5wCwEe-SWP-TNe9HLAcQohvJJeemxjidyjG8R7uq-FnpmjrHHEpmULdWwjjbp9-ic_aem_DrJGZ7BKBlhDqK7baJ5iSA&utm_id=120228261125030027&utm_term=120228261125120027