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:
https://www.csoonline.com/article/4036868/black-hat-researchers-demonstrate-zero-click-prompt-injection-attacks-in-popular-ai-agents.html
Tomi Engdahl says:
GPT-5’s System Prompt Just Leaked. Here’s What We Learned
https://www.forbes.com/sites/johnkoetsier/2025/08/09/gpt-5s-system-prompt-just-leaked-heres-what-we-learned/
GPT-5’s system prompt just leaked to Github, showing what OpenAI wants ChatGPT to say, do, remember … and not do. Unsurprisingly, GPT-5 isn’t allowed to reproduce song lyrics or any other copyrighted material, even if asked. And GPT-5 is told to not remember personal facts that “could feel creepy,” or directly assert a user’s race, ethnicity, religion, or criminal records.
I’ve asked OpenAI for a comment, and will update this post if the company responds.
A system prompt is a hidden set of instructions that tells an AI engine how to behave: what to do, and what not to do. Users will ordinarily never see this prompt, but it will influence all of their interactions with a smart LLM-based AI engine.
Tomi Engdahl says:
New AI method speeds up calculations to protect fusion reactors from plasma heat
Known as HEAT-ML, the AI could greatly speed the design of future fusion systems
https://interestingengineering.com/science/new-ai-method-speeds-up-calculations-to-protect-fusion-reactors-from-plasma-heat
Tomi Engdahl says:
Multi-agent AI workflows: The next evolution of AI coding
https://www.infoworld.com/article/4035926/multi-agent-ai-workflows-the-next-evolution-of-ai-coding.html
Tomi Engdahl says:
Woman Kills Herself After Talking to OpenAI’s AI Therapist
This is horrible.
https://futurism.com/woman-suicide-openai-therapist?fbclid=IwQ0xDSwMSOahjbGNrAxI5NGV4dG4DYWVtAjExAAEeVFgim185kEae3VSBfJYpD1FZ1vWzCDwjbnfjzBlHPYHhQ84BZWxcy7eStF4_aem_0CJwayOh5z1afFP0DB9y6w
A young woman took her own life after talking to a ChatGPT-based AI therapist named Harry.
In a devastating opinion piece for the New York Times, her mother, Laura Reiley, detailed the events leading up to Sophie’s suicide. Despite appearing to be a “largely problem-free 29-year-old badass extrovert who fiercely embraced life,” Reiley wrote, Sophie died by suicide this past winter “during a short and curious illness, a mix of mood and hormone symptoms.”
In many ways, OpenAI’s bot said the right words to Sophia during her time of crisis, according to logs obtained by her mother.
“You don’t have to face this pain alone,” the AI said. “You are deeply valued, and your life holds so much worth, even if it feels hidden right now.”
However, unlike real-world therapists — who are professionally trained, don’t suffer from frequent hallucinations, and discourage delusional thinking — chatbots aren’t obligated to break confidentiality when confronted with the possibility of a patient harming themselves.
In Sophie’s case, according to her mother, that failure may have led to the end of her life.
Tomi Engdahl says:
Joblyn tutkimus tekoälystä ja rekrytoinneista:
Työnantajat odottavat tekoälyn helpottavan rekrytointia ja työnhakua, mutta osaamisen puute hidastaa kehitystä.
https://www.jobly.fi/rekrytointi/tutkimus?utm_source=facebook&utm_medium=cpc&utm_campaign=120234290931330221&utm_content=%5BJOBLY%5D%20AI-tutkimus%20(Liikenne)&fbclid=IwQ0xDSwMSOgxleHRuA2FlbQEwAGFkaWQBqyh0YsxmbQEeKpYfuIWdNbYCWMwcxjAOCiW4oVjLkWVzQ5VpSeGu9CIQulPZkidyKy_QtXE_aem_ieeog038OX_XyqAyIEj_qA&utm_id=120234290931330221&utm_term=120234290931360221
Tomi Engdahl says:
New York Times:
Sources: Meta considers downsizing its AI division, with some executives expected to leave, and is exploring using third-party models for its AI products — Meta is expected to announce a new restructuring of its artificial intelligence division amid internal tensions over the technology, people with knowledge of the plans said.
https://www.nytimes.com/2025/08/19/technology/mark-zuckerberg-meta-ai.html
Tomi Engdahl says:
Financial Times:
The Nasdaq fell 1.4%, with Nvidia down 3.5%, Palantir down 9.4% and Arm down 5%, with AI enthusiasm cooling after a critical MIT report and warning from Altman — Warning from OpenAI’s Sam Altman and MIT paper puncture Wall Street’s enthusiasm — US tech stocks sold off as warnings …
US tech stocks hit by concerns over future of AI boom
Warning from OpenAI’s Sam Altman and MIT paper puncture Wall Street’s enthusiasm
https://www.ft.com/content/33914f25-093c-4069-bb16-8626cfc15a51?accessToken=zwAGPL62bkJgkc8zkU8lCTxAadO7FoYmz8FaUQ.MEUCIQCGJ0pOG1c0ovLeAAtoiTauEGWnjKbzOJUSZWmMVyKuEgIgAzw_vDrH8AM-gvv2AYH6zwwOiIlr68z6KqGrP5hkWoQ&sharetype=gift&token=e9cfc046-6df1-4fb3-8663-d583d6d1dd8a
US tech stocks sold off as warnings that the hype surrounding artificial intelligence could be overdone hit some of the year’s best-performing shares.
Nvidia, the chips group that has surged to become the world’s first $4tn company on the back of AI, fell 3.5 per cent on Tuesday, while software group Palantir dropped 9.4 per cent and chip designer Arm shed 5 per cent.
The tech-heavy Nasdaq Composite closed down 1.4 per cent, the biggest one-day drop for the index since August 1. The blue-chip S&P 500 fell 0.7 per cent.
Asian markets followed Wall Street lower on Wednesday, with Japan’s Nikkei 225 index retreating 1.8 per cent, South Korea’s Kospi falling 1.9 per cent and Hong Kong’s Hang Seng benchmark shedding 0.6 per cent.
Tomi Engdahl says:
Sean Endicott / Windows Central:
Microsoft rolls out a COPILOT function in Excel for users in the Beta Channel, letting them use text prompts to categorize data, summarize feedback, and more — AI in Excel finally feels natural thanks to the new COPILOT function. … Or rather, more Copilot is being packed into the popular spreadsheet program.
Microsoft Excel gets more AI — and this time it’s actually useful
News
By Sean Endicott published 17 hours ago
AI in Excel finally feels natural thanks to the new COPILOT function.
https://www.windowscentral.com/microsoft/microsoft-office/microsoft-excel-gets-more-ai-and-this-time-its-actually-useful
Copilot is on the way to Microsoft Excel. Or rather, more Copilot is being packed into the popular spreadsheet program. A new COPILOT function is rolling out now to users in the Beta Channel and should make its way to more users soon.
The COPILOT function allows you to use natural language prompts within a spreadsheet. For example, you can use the function to reference cell values and categorize data. Because it is a function, COPILOT can be used alongside other functions.
“It can be painful and time-consuming to wrangle data, summarize feedback, categorize information, and brainstorm ideas,” explains Microsoft in a blog post
“The new COPILOT function in Excel for Windows and Excel for Mac is here to save time and supercharge your workflows! Just enter a natural language prompt in your spreadsheet, reference cell values as needed, and watch Copilot instantly generate AI-powered results.”
Another benefit of COPILOT being a function is that results and calculated values update automatically when information is changed. That’s standard for functions within Excel and is much more flexible than if you used Copilot or another AI tool outside of the app and then imported the results.
To use the COPILOT function, you can go into any cell and press the equals sign and type Copilot. You’ll then be presented with the following:
=COPILOT(prompt_part1, [context1], [prompt_part2], [context2], …)
The prompt part of that text is used to direct Copilot. The context part can be used to reference information from your spreadsheet, such as a cell or a range of cells.
AI receives a lot of criticism, often justifiably so. There are many companies that appear to cram AI into apps in ways that are not needed. Microsoft was accused of this when it added Copilot to Notepad.
The new COPILOT function falls into a different category. By making it a function rather than just a tie-in to a web app or web version of an AI tool, the results created with the COPILOT function are useful. It feels like an extension of Excel that allows you to use natural language to perform tasks that would normally require expert knowledge of Excel.
The ability to classify data stands out to me.
Microsoft shares some tips and tricks for using the COPILOT function in its blog post. The tech giant also notes some important limits of the feature. The COPILOT function uses data from Copilot, so it cannot grab live web data or retrieve information from an internal business document.
You can import documents into Excel to provide access to that information to COPILOT.
At the moment, the COPILOT function supports 100 calls every 10 minutes and up to 300 calls per hour. Microsoft plans to raise those limits in the future.
Tomi Engdahl says:
Carl Franzen / VentureBeat:
Alibaba releases Qwen-Image-Edit, the image editing version of Qwen-Image, supporting modifications of Chinese and English text while preserving font and style — Adobe Photoshop is among the most recognizable pieces of software ever created, used by more than 90% of the world’s creative professionals, according to Photutorial.
Qwen-Image Edit gives Photoshop a run for its money with AI-powered text-to-image edits that work in seconds
https://venturebeat.com/ai/qwen-image-edit-gives-photoshop-a-run-for-its-money-with-ai-powered-text-to-image-edits-that-work-in-seconds/
Adobe Photoshop is among the most recognizable pieces of software ever created, used by more than 90% of the world’s creative professionals, according to Photutorial.
So the fact that a new open source AI model — Qwen-Image Edit, released yesterday by Chinese e-commerce giant Alibaba’s Qwen Team of AI researchers — is now able to accomplish a huge number of Photoshop-like editing jobs with text inputs alone, is a notable achievement.
https://huggingface.co/Qwen/Qwen-Image-Edit
Tomi Engdahl says:
Julie Bort / TechCrunch:
Firecrawl, which offers an open-source web crawler for developers and AI agents, raised a $14.5M Series A led by Nexus Venture Partners — Firecrawl’s co-founder and CEO Caleb Peffer knew the exact moment he found the investor to lead his Series A. — He was in a coffee meeting …
AI crawler Firecrawl raises $14.5M, is still looking to hire agents as employees
https://techcrunch.com/2025/08/19/ai-crawler-firecrawl-raises-14-5m-is-still-looking-to-hire-agents-as-employees/
Tomi Engdahl says:
Sarah Perez / TechCrunch:
Meta rolls out AI-powered voice translations for creators on Facebook and Instagram globally, supporting English-Spanish translations with lip syncing — Meta is rolling out an AI-powered voice translation feature to all users on Facebook and Instagram globally, the company announced on Tuesday.
Meta rolls out AI-powered translations to creators globally, starting with English and Spanish
https://techcrunch.com/2025/08/19/meta-rolls-out-ai-powered-translations-to-creators-globally-starting-with-english-and-spanish/
Meta is rolling out an AI-powered voice translation feature to all users on Facebook and Instagram globally, the company announced on Tuesday.
The new feature, which is available in any market where Meta AI is available, allows creators to translate content into other languages so it can be viewed by a broader audience.
The feature was first announced at Meta’s Connect developer conference last year, where the company said it would pilot test automatic translations of creators’ voices in reels across both Facebook and Instagram.
Meta notes that the AI translations will use the sound and tone of the creator’s own voice to make the dubbed voice sound authentic when translating the content to a new language.
In addition, creators can optionally use a lip-sync feature to align the translation with their lip movements, which makes it seem more natural.
Tomi Engdahl says:
Reuters:
A survey of 4,446 US adults on AI: 71% are concerned AI will put “too many people out of work permanently”, 61% worry about electricity consumption, and more
Americans fear AI permanently displacing workers, Reuters/Ipsos poll finds
https://www.reuters.com/world/us/americans-fear-ai-permanently-displacing-workers-reutersipsos-poll-finds-2025-08-19/
Summary
Seventy-one percent fear AI causing permanent job loss, Reuters/Ipsos poll shows
Seventy-seven percent worry AI could be used by rivals to incite political chaos, poll indicates
Forty-eight percent oppose AI in military targeting, 24% support it
Tomi Engdahl says:
Bloomberg:
DeepSeek releases V3.1, adding a longer context window, with few other details; Chinese media blames CEO Liang Wenfeng’s perfectionism and bugs for R2′s delay
China’s DeepSeek Releases V3.1, Boosting AI Model’s Capabilities
https://www.bloomberg.com/news/articles/2025-08-19/china-s-deepseek-release-v3-1-boosting-ai-model-s-capabilities
Tomi Engdahl says:
Maria Deutscher / SiliconANGLE:
Functionize, which offers a cloud platform that uses AI to speed up software testing, raised a $41M Series B, bringing its total funding to $67M+
Functionize nabs $41M to speed up software testing with AI
https://siliconangle.com/2025/08/19/functionize-nabs-41m-speed-software-testing-ai/
Tomi Engdahl says:
Angel Au-Yeung / Wall Street Journal:
Databricks is finalizing a Series K at a $100B valuation, up 61% from its December 2024 round; sources say it is co-led by Thrive and a16z plans to participate
Databricks Raising Funds at $100 Billion Valuation
The data analytics company, fueled by the AI boom, was valued at $62 billion less than a year ago
https://www.wsj.com/tech/ai/databricks-raising-funds-at-100-billion-valuation-ac0ffa44?st=Z7Bxcp&reflink=desktopwebshare_permalink
Databricks, a data-analytics software company, is finalizing a funding round that would value it at $100 billion, a 61% increase from its last funding round in December.
Thrive Capital, Insight Partners and WCM Investment Management are set to co-lead the new round, according to people familiar with the matter. Andreessen Horowitz is also planning to put money into the company, the people said. Additional investors and other details, including the size of the round, haven’t been made final.
Databricks, which sells software that helps companies access and analyze data sets, has experienced a surge in growth with the AI boom. Data scientists at its client companies use its software to analyze large volumes of information they collect. Adidas, for example, uses Databricks to help it analyze sentiment from millions of customer reviews, feedback it uses to improve its products.
The company announced new partnerships this year with Palantir and SAP, allowing those software firms to merge their data with Databricks’ and offer their shared customers richer insights.
Tomi Engdahl says:
AWS:n Kiro on uusi, laadukasta koodia tuottava apuri
https://etn.fi/index.php/13-news/17796-aws-n-kiro-on-uusi-laadukasta-koodia-tuottava-apuri
Amazon Web Services (AWS) on julkistanut Kiron, uuden tekoälyavusteisen koodieditorin, jonka tarkoitus on viedä AI-kehitys prototyypeistä tuotantoon. Kiro eroaa monista muista tekoälyapureista siinä, että se ei tyydy pelkkään “promptaa ja koodaa” -malliin, vaan ohjaa kehittäjää suunnitelmallisempaan ja dokumentoidumpaan prosessiin.
Perinteinen vibe-koodaus eli nopea, iteratiivinen prototypointi, jossa tekoälyn annetaan tuottaa koodia, on hauskaa ja hyödyllistä, mutta siihen liittyy ongelmia. AI tekee usein oletuksia, joita ei dokumentoida, ja lopputulos voi näyttää toimivalta mutta sisältää teknistä velkaa, heikkoa ylläpidettävyyttä tai puutteita turvallisuudessa ja skaalautuvuudessa. Kiron idea on ratkaista nämä ongelmat tuomalla AI-kehitykseen rakenteen ja suunnittelun.
Kiron ydin on niin sanottu spec-driven development eli vaatimuksiin perustuva kehitys. Ennen kuin koodia kirjoitetaan, Kiro auttaa laatimaan speksit eli vaatimukset: käyttäjätarinat, hyväksymiskriteerit ja tekniset suunnitelmat. Näin oletukset tehdään näkyviksi ja niihin voidaan palata myöhemmin. Spesifikaatioiden pohjalta Kiro generoi automaattisesti myös suunnitteludokumentit, kuten kaaviot ja API-määrittelyt.
Kun suunnitelmat on hyväksytty, Kiro luo niistä tehtävälistan (tasks.md), jossa työ jaetaan selkeisiin vaiheisiin. Jokainen tehtävä linkittyy vaatimuksiin, ja mukana ovat myös testit, lataustilat, mobiiliresponsiivisuus ja saavutettavuusvaatimukset. Kehittäjä voi sitten suorittaa tehtävät yksi kerrallaan, seurata etenemistä ja tarkastella AI-agentin tekemiä muutoksia.
Tomi Engdahl says:
https://www.reuters.com/world/china/nvidia-working-new-ai-chip-china-that-outperforms-h20-sources-say-2025-08-19/
Tomi Engdahl says:
“The big tech companies have not felt responsible for making their bots safe for psychiatric patients.” https://trib.al/VjrAAZp
Tomi Engdahl says:
“That way, there would be no nepotism or conflicts of interest.” https://trib.al/eI397Q3
This Country Wants to Replace Its Corrupt Government With AI
“Societies will be better run by AI than by us because it won’t make mistakes, doesn’t need a salary, cannot be corrupted, and doesn’t stop working.
https://futurism.com/albania-replace-government-ai?fbclid=IwQ0xDSwMSaEZjbGNrAxJoK2V4dG4DYWVtAjExAAEeRgSn9Na5pEyko_7f7Ar3LA-anJjiMDZj-hHzXvc27Dw8JsoBxj86aXW8MvA_aem_oTwKXFcbgnEK5nBVSRK0jA
With so much buzzy tech floating around these days, it’s only natural for national governments to experiment as well.
For the past few years, the country of El Salvador’s been experimenting with Bitcoin as legal tender, a woefully ineffective system that’s had he opposite of its stated effects. In the United States, president Donald Trump is experimenting with a $500 billion AI infrastructure project, a massive campaign that’s sat dormant for half a year.
And in Albania, which is home to 2.7 million people, the government is hoping that AI models like ChatGPT can take over for corrupt government ministers.
Per Politico, the Albanian prime minister Edi Rama suggested back in July that AI might be a handy tool in his efforts to stamp out government corruption and increase transparency.
Tomi Engdahl says:
Rani Molla / Sherwood News:
YouGov: 59% of US adults use smart assistants to check the weather, 51% for music, 47% to get answers on the web, and 40% for timers, mirroring usage in 2018
People use smart assistants for weather, timers, and music — the same stuff we were doing a decade ago
Digital assistants can do more but not well or consistently.
https://sherwood.news/tech/people-use-google-amazon-and-apples-smart-assistants-for-weather-timers-and/
Tomi Engdahl says:
Zuckerberg’s Huge AI Push Is Already Crumbling Into Chaos
We can’t say we’re surprised.
https://futurism.com/zuckerberg-meta-ai-push-chaos?fbclid=IwQ0xDSwMS5OVjbGNrAxLkuWV4dG4DYWVtAjExAAEeR3MPuHrzzlw8Es7mpDs0yhcceUkxiIPBtEa8vaOrTS5G7soudlMXP3TMq-o_aem_yhib8zXNjVQbvPA6D0DERw
Just a few months into Meta’s multi-billion-dollar AI moonshot, CEO Mark Zuckerberg is already shaking up his “Superintelligence Lab” — and some of its longtime leaders are leaving amid the chaos.
As the New York Times reports based on insider sources, Meta has announced internally that it will be splitting its AI division into four separate groups: one focused on research, one on so-called “superintelligence,” one on products, and another on infrastructure.
Tomi Engdahl says:
Man Sells His Likeness So an AI Version of Him Can Shill Garbage on TikTok
And you’ll never guess what he got paid.
https://futurism.com/man-sells-ai-version-ads-tiktok?fbclid=IwQ0xDSwMS5UJjbGNrAxLlM2V4dG4DYWVtAjExAAEen1YUQ2BGYGu06lq724ORKUELMBzbg9VPS7FbzkgLhInosCDh4MEUsAakKtg_aem_JCycszZLNqcjlabUctDyuw
If you use TikTok or any other app designed to rot your brain, chances are you’ve encountered AI-generated ads for somehow even faker-seeming products.
But the popular short-form video platform in particular is pushing a specific style of these ads that aim to be nefariously familiar: a person looking into the camera and making a direct pitch for some type of scammy-feeling product. Of course, this “person” is actually one of over a dozen AI “digital avatars” that TikTok offers to advertisers, which can be made to say whatever a client wants, so long as it adheres to the platform’s questionably enforced guidelines.
52-year-old Scott Jacqmein is one of the actors behind these AI digital avatars.
Tomi Engdahl says:
After Disastrous GPT-5, Sam Altman Pivots to Hyping Up GPT-6
What’s GPT-5?
https://futurism.com/disastrous-gpt-5-sam-altman-hyping-up-gpt-6?fbclid=IwQ0xDSwMTDrpjbGNrAxMOfWV4dG4DYWVtAjExAAEeA6TEk_eR6RhSrhsbMfWzLs5gt-KZ3Ql4uOw6C64_ET3vSYsma4Z3yWY80D8_aem_OfBAyG9KPJ6uCMgFt6F21Q
OpenAI’s launch of its long-awaited GPT-5 AI model turned out to be a bit of a dud.
Those expecting a revolutionary change, something CEO Sam Altman promised outright months ago, were left sorely disappointed. In many ways, GPT-5 felt more like an iterative improvement, while a colder and less personable tone took aback those looking to foster an emotional relationship with the bot.
Power users on social media voiced their discontent in droves, accusing OpenAI of cutting corners by hamstringing GPT-5′s output, even calling it a “disaster.” The company responded by bowing to widespread demands for a “warmer”-sounding model.
During a chat with reporters last week, Altman admitted that the company “total
Tomi Engdahl says:
“Either get into something niche like AI for biology… or just don’t get into anything at all.” https://trib.al/rT16Skp
Founder of Google’s Generative AI Team Says Don’t Even Bother Getting a Law or Medical Degree, Because AI’s Going to Destroy Both Those Careers Before You Can Even Graduate
“Either get into something niche like AI for biology… or just don’t get into anything at all.”
Tomi Engdahl says:
AMD:n prosessori ajaa ensimmäisenä tekoälyä paikallisesti Windowsissa
https://etn.fi/index.php/13-news/17802-amd-n-prosessori-ajaa-ensimmaeisenae-tekoaelyae-paikallisesti-windowsissa
AMD on esitellyt merkittävän päivityksen Ryzen AI Max+ -prosessoreilleen, jotka pystyvät nyt ajamaan jopa 128 miljardin parametrin suuruisia kielimalleja paikallisesti Windowsissa. Uusi ominaisuus perustuu AMD:n Variable Graphics Memory -teknologiaan ja julkaistaan Adrenalin Edition 25.8.1 WHQL -ajureiden myötä.
Kyseessä on maailman ensimmäinen Windows-PC-prosessori, joka kykenee pyörittämään Meta Llama 4 Scout 109B -mallia täysimääräisesti. Vaikka malli käyttää vain 17 miljardia parametria aktiivisesti kerrallaan, se vaatii koko 109 miljardin parametrin tallentamisen muistiin. Ryzen AI Max+ -kokoonpanossa tämä onnistuu jopa kevyissä kannettavissa.
AMD:n mukaan käyttäjät voivat odottaa mallilta noin 15 tokenin sekuntinopeutta, mikä riittää tekemään siitä käyttökelpoisen tekoälyavustajan liikkeellä ollessa. Lisäksi prosessori tukee laajaa valikoimaa malleja aina pienistä 1B-kielimalleista Mistral Largeen asti, joustavin kvantisointivaihtoehdoin.
Tomi Engdahl says:
Allison Johnson / The Verge:
Google unveils the $1,799+ Pixel 10 Pro Fold, with a Tensor G5 chip, new hinge with a gear-less design, and 6.4″ outer and 8″ inner screens, shipping October 9 — They actually did it. … Finally, a foldable to take to the beach. The Google Pixel 10 Pro Fold is official …
The Google Pixel 10 Pro Fold is the first fully dust-resistant foldable
https://www.theverge.com/hands-on/762080/google-pixel-10-pro-fold-dust-rating-ip68
They actually did it.
Tomi Engdahl says:
Abner Li / 9to5Google:
Google unveils the Tensor G5, a 3nm chip manufactured by TSMC, and says it has “significant gains” in performance and runs the “newest” Gemini Nano model
Google did more than just switch to TSMC for Tensor G5 — This is what’s new
https://9to5google.com/2025/08/20/pixel-10-tensor-g5/
Tomi Engdahl says:
Meghan Bobrowsky / Wall Street Journal:
Meta froze hiring in its AI division last week with sources saying exceptions need Alexandr Wang’s permission; the duration of the freeze remains unclear — Company reorganizes its sprawling artificial-intelligence operation, whose spiraling cost has drawn investor scrutiny
Meta Freezes AI Hiring After Blockbuster Spending Spree
Company reorganizes its sprawling artificial-intelligence operation, whose spiraling cost has drawn investor scrutiny
https://www.wsj.com/tech/ai/meta-ai-hiring-freeze-fda6b3c4?st=GwQLzL&reflink=desktopwebshare_permalink
Tomi Engdahl says:
Samantha Subin / CNBC:
OpenAI CFO Sarah Friar says the company hit its first $1B revenue month in July and that “the biggest thing we face is being constantly under compute” — OpenAI finance chief Sarah Friar said Wednesday that even with the company hitting revenue milestones, it faces ongoing pressures …
https://www.cnbc.com/2025/08/20/openai-compute-ai.html
Tomi Engdahl says:
Mustafa Suleyman:
Mustafa Suleyman says “Seemingly Conscious AI” is coming but is something to avoid, and that developers must build AI for people, not to be a digital person — Seemingly Conscious AI is Coming — I write, to think. More than anything this essay is an attempt to think through
We must build AI for people; not to be a person
Seemingly Conscious AI is Coming
https://mustafa-suleyman.ai/seemingly-conscious-ai-is-coming
Tomi Engdahl says:
Jennifer Pattison Tuohy / The Verge:
Google announces Gemini for Home, a new voice assistant for Google Home, with support for Gemini Live, coming later this year and replacing Google Assistant — The all-new, more powerful assistant will arrive on Nest smart speakers and displays later this year.
https://www.theverge.com/news/762370/google-announces-gemini-for-home-nest-smart-speakers-voice-assistant
Tomi Engdahl says:
Sarah Perez / TechCrunch:
Google’s new AI features for Pixel include Magic Cue for contextual suggestions across apps, Voice Translate for calls, and Visual Overlays for the camera — With the launch of the new Pixel 10 series, Google is rushing ahead of Apple to deliver AI-powered smartphones to consumers.
Google doubles down on ‘AI phones’ with its Pixel 10 series
https://techcrunch.com/2025/08/20/google-doubles-down-on-ai-phones-with-its-pixel-10-series/
Tomi Engdahl says:
Aisha Malik / TechCrunch:
Google unveils a new Gemini-powered personal health coach for Fitbit, rolling out as a preview in October for Fitbit Premium users in the redesigned Fitbit app — At its Made by Google event on Wednesday, the company announced a new AI-powered personal health coach built with Gemini that’s coming to Fitbit.
https://techcrunch.com/2025/08/20/google-announces-new-ai-powered-personal-health-and-fitness-coach-for-fitbit/
Tomi Engdahl says:
TechCrunch:
Halo, a startup founded by former Harvard students who developed a facial recognition app for Ray-Ban Meta glasses, introduces “always-on” AI glasses for $249 — Lorenzo Franceschi-Bicchierai Rebecca Bellan — Two former Harvard students are launching a pair of “always-on” …
https://techcrunch.com/2025/08/20/harvard-dropouts-to-launch-always-on-ai-smart-glasses-that-listen-and-record-every-conversation/
Tomi Engdahl says:
Peter Hall / MIT Technology Review:
NASA and IBM release Surya, an open-source AI model trained on over a decade’s worth of NASA solar data to predict solar flares and winds — NASA and IBM have released a new open-source machine learning model to help scientists better understand and predict the physics and weather patterns of the sun.
https://www.technologyreview.com/2025/08/20/1122163/nasa-ibm-ai-predict-solar-storm/
Tomi Engdahl says:
Danielle Popov / South China Morning Post:
Alibaba-backed Z.ai, formerly Zhipu, launches a general-purpose AI agent app, which lets users use natural language to book hotels, order takeaway, and more — The Z.ai agent is free and available on the Android and iOS mobile platforms — Chinese artificial intelligence unicorn Z.ai …
Chinese unicorn Z.ai, Alibaba Cloud team up to deploy new AI agent for smartphone users
The Z.ai agent is free and available on the Android and iOS mobile platforms
https://www.scmp.com/tech/tech-trends/article/3322557/chinese-unicorn-zai-alibaba-cloud-team-deploy-new-ai-agent-smartphone-users
Tomi Engdahl says:
Zoë Schiffer / Wired:
A profile of Stability AI, which under CEO Prem Akkaraju and Chair Sean Parker has shifted from building frontier AI models to a Hollywood-focused SaaS company
https://www.wired.com/story/artificial-intelligence-hollywood-stability/
Tomi Engdahl says:
Bloomberg:
DeepSeek details V3.1 and says it surpasses R1 on key benchmarks and is customized to work with next-gen Chinese-made AI chips, after unveiling it on August 19
https://www.bloomberg.com/news/articles/2025-08-21/deepseek-touts-model-that-outdoes-flagship-in-agentic-ai-step
Tomi Engdahl says:
Isabelle Bousquette / Wall Street Journal:
An interview with GM SVP of Software and Services Engineering David Richardson on GM’s new AI team, developing “cobots”, or collaborative robots, and more
GM Raided Silicon Valley to Build Its New AI Team. Here’s What It’s Doing.
So far the team includes hires from Google, Meta, AWS and even a Pixar vet who is helping GM develop new factory ‘cobots’
https://www.wsj.com/articles/gm-raided-silicon-valley-to-build-its-new-ai-team-heres-what-its-doing-758fd0d9?st=Xq2rex&reflink=desktopwebshare_permalink
Tomi Engdahl says:
Justine Calma / The Verge:
Google releases a study saying a median Gemini text prompt uses 0.26mm of water and makes ~0.03g CO2; critics call it misleading for omitting indirect water use
Google says a typical AI text prompt only uses 5 drops of water — experts say that’s misleading
https://www.theverge.com/report/763080/google-ai-gemini-water-energy-emissions-study
Google shared a study of Gemini’s environmental impact, but it omits some key data.
Tomi Engdahl says:
Biljoonakupla on vaarassa puhjeta – karu todellisuus paljastui
Rahoja ei ole pantu sinne, missä niistä olisi ollut hyötyä, sanoo MIT:n raportti.
Biljoonakupla on vaarassa puhjeta – karu todellisuus paljastui
https://www.is.fi/digitoday/art-2000011442239.html
Puhkeaako tekoälykupla? Monet sijoittavat pelästyivät yhdysvaltalaisen huippuyliopisto MIT:n tuoretta raporttia, jonka mukaan harvempi kuin yksi kymmenestä yritysten tekoälykokeiluista on tuottanut todellisia hyötyjä.
Raportin mukaan jopa 95 prosenttia tekoälyhankkeista epäonnistuu taloudellisesti. Yritykset eivät saa siis pääsääntöisesti investoinneilleen vastinetta tekoälyhankkeista. Asiasta uutisoi muun muassa teknologiasivusto Gizmodo.
MIT:n raportti sai Gizmodon mukaan tekoäly-yhtiöiden osakkeet luisuun. Nvidian osakkeet putosivat tiistaina 3,5 prosenttia, ja data-analytiikkafirma Palantirin osakkeet laskivat jopa 9 prosenttia.
Osakkeiden arvo laski Yhdysvaltain osakemarkkinoilla jopa biljoona tuhat miljardia dollaria vain neljässä päivässä, kun teknologiayritysten myynti kiihtyi keskiviikkona, kertoo brittilehti Telegraph.
Tomi Engdahl says:
MIT report: 95% of generative AI pilots at companies are failing
https://finance.yahoo.com/news/mit-report-95-generative-ai-105412686.html
Good morning. Companies are betting on AI—yet nearly all enterprise pilots are stuck at the starting line.
The GenAI Divide: State of AI in Business 2025, a new report published by MIT’s NANDA initiative, reveals that while generative AI holds promise for enterprises, most initiatives to drive rapid revenue growth are falling flat.
Despite the rush to integrate powerful new models, about 5% of AI pilot programs achieve rapid revenue acceleration; the vast majority stall, delivering little to no measurable impact on P&L. The research—based on 150 interviews with leaders, a survey of 350 employees, and an analysis of 300 public AI deployments—paints a clear divide between success stories and stalled projects.
Tomi Engdahl says:
A Huge Number of Grok AI Chats Just Leaked, and Their Contents Are So Disturbing That We’re Sweating Profusely
Guardrails? Never heard of ‘em.
https://futurism.com/grok-ai-chats-leaked-disturbing?fbclid=IwQ0xDSwMUKhtjbGNrAxQpCmV4dG4DYWVtAjExAAEe1hhJpf6PH_We-WJ0U_ifx3eg67HuRm1YRZ8pvUB4Kuuu8AWDwb-mXwhvHIE_aem_HPjWOniHwTmsZ9SKYaN2zQ
Tomi Engdahl says:
These numbers are legitimately hilarious. https://trib.al/Vo6tn8D
AI Is Failing at an Overwhelming Majority of Companies Using It, MIT Study Finds
Whomp whomp.
https://futurism.com/ai-agents-failing-companies?fbclid=IwQ0xDSwMUzRxjbGNrAxTM5WV4dG4DYWVtAjExAAEefmmdJmmKNtuOHGE-NhpI-R5peA9iv8aws1SRDgxxN_kej_AsE_tL2qPjj2g_aem_iCX7ii_AQWeLbrZp7d8Gmw
With AI software increasingly hogging the enterprise spotlight, companies and investors are spending like never before. In the first half of 2025, AI startups raised over $44 billion, more than all of 2024 combined. By the end of this year, a Goldman Sachs analysis estimates that total investments in AI will soar to almost $200 billion.
But all that money is, to put it gently, a reckless gamble. In the US at least, investors have essentially bet the farm on the idea that AI will soon lead to gains in labor productivity — the amount of goods and services workers are able to produce in a given time — that have never been seen in the history of humankind.
Despite the hype and bluster, that isn’t happening. A new report by researchers at MIT, first covered by Fortune, found that a staggering 95 percent of attempts to incorporate generative AI into business so far are failing.
According to the report, titled “The GenAI Divide: State of AI in Business 2025,” the MIT researchers found that only around 5 percent of businesses succeed at “rapid revenue acceleration,” with the vast majority falling flat.
Looking beyond the AI marketing hype, it’s not hard to see why this is. Previous research into this kind of AI, which is marketed as a sort of autonomous assistant for white collar workers, found that the tech falls way short of the mark.
As of July, the best AI products successfully completed just 30 percent of the real-world office tasks assigned to them, with most doing significantly worse.
Given that AI was previously expected to contribute over $6 trillion to the global economy by 2030, the productivity gains from here on out would have to be nearly exponential to live up to expectations.
For example, a recent analysis by MoneyWeek argued that, with so much money riding on AI, anything less than a complete upheaval of the world as we know it will look like a failure. A typical financial analysis indicates that the top seven big tech companies should be seeing an extra $600 billion in yearly revenue — a number so large it’s nearly meaningless. (As of this year, for perspective, they’re projected to nab around $35 billion annually.)
Every year AI fails to return these ever-higher numbers, the need for labor productivity to increase goes up — at least if Wall Street hopes to justify its spending spree — effectively kicking the half-a-trillion-dollar can down the road.
Without a major breakthrough in the immediate future, it’s looking more and more like a matter of “when” rather than “if” the AI bubble will pop
Tomi Engdahl says:
https://etn.fi/index.php/tekniset-artikkelit/17806-roboteista-tukee-tekoaelykkaeitae
Tomi Engdahl says:
Casey Crownhart / MIT Technology Review:
Google says the median Gemini app text prompt consumes 0.24Wh of energy, about the same as running a microwave for a second, and emits 0.03g of CO2 equivalent — Google has just released a technical report detailing how much energy its Gemini apps use for each query.
https://www.technologyreview.com/2025/08/21/1122288/google-gemini-ai-energy/
Tomi Engdahl says:
Morgan Chalfant / Semafor:
Anthropic says it worked with the US National Nuclear Security Administration on a classifier to block concerning chats, like those on building nuclear reactors — With the government’s help, Anthropic built a tool designed to prevent its AI models from being used to make nuclear weapons.
Anthropic develops anti-nuke AI tool
https://www.semafor.com/article/08/21/2025/anthropic-develops-anti-nuke-ai-tool
Tomi Engdahl says:
Julia Shapero / The Hill:
Google will provide Gemini for Government to US federal agencies at $0.47 per agency through 2026; OpenAI and Anthropic are offering their products for $1/year — Google will provide a suite of artificial intelligence (AI) and cloud services to federal agencies for 47 cents each …
https://thehill.com/policy/technology/5463428-google-ai-cloud-services-federal/
Tomi Engdahl says:
Abner Li / 9to5Google:
Google expands AI Mode to 180 countries and territories in English, following the US, the UK, and India, and plans to add more languages and regions “soon”
https://9to5google.com/2025/08/21/google-ai-mode-countries-agentic/