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:
That doesn’t mean AI is useless. It just means its value won’t come from sweeping, instant disruption, but from targeted, deliberate integration. Betting on a short timeline and quick ROI risks wasted capital, failed automation, and unnecessary workforce disruption. Instead, companies should focus on the long game: build the right systems, train your team, and figure out how to make AI work for your business.
Tomi Engdahl says:
How AI Can Help Your Kid Become An Entrepreneur Before They Graduate
https://www.forbes.com/sites/danfitzpatrick/2025/06/25/how-ai-can-help-your-kid-become-an-entrepreneur-before-they-graduate/
You know the thrill of a good idea.
And the headache of turning that idea into something real. You’ve felt the friction. Finding the right tools, learning the tech (or finding someone who has), staying up late because no one else can quite see the vision like you can.
That friction is where most ideas quietly die.
Entrepreneurial Execution Is Getting Easier
This week, I attended Google I/O Connect in Berlin, an event for the developer community. I wasn’t there as a coder but as an observer of the AI developments that are rapidly reshaping our world.
Tomi Engdahl says:
AI is no longer artificial
We used to ask what happens if machines get smarter than humans but today we need to ask: What if they become more human?
https://asiatimes.com/2025/06/ai-is-no-longer-artificial/#
For centuries, the mirror has served a simple purpose: to reflect our image. It shows our form, lets us adjust our appearance, and studies our expressions. But it doesn’t know us. A mirror is a passive, optical simulation – a reflection of form, not essence. You can stare into it for hours, yet it will never reveal your thoughts or identity. It’s a surface, not substance. The more we gaze into mirrors, the more we focus on appearance. In that way, mirrors become feedback loops. First we create the reflection, then the reflection begins to shape us.
Today’s mirrors are digital. Social media are reflecting us, but in a curated, filtered and performative way. They don’t just show who we are – they show who we want to be, or pretend to be. As philosopher Jean Baudrillard warned in his theory of hyperreality, representations become more real than reality itself. We no longer live in the moment; we live for how the moment looks on screen.
Tomi Engdahl says:
How AI Could Reshape Global Education — And What Comes After
https://www.forbes.com/sites/kolawolesamueladebayo/2025/06/27/how-ai-could-reshape-global-education—and-what-comes-after/
Artificial intelligence could be moving from an optional add-on in educational institutions to being an integral part of how students learn. That’s, at least, what developments like Ohio State University’s decision to roll out AI-fluency modules across its undergraduate programs by autumn of 2025 suggest. And it’s not an isolated development. Back in October, 2024, California passed a bill mandating schools to incorporate AI literacy into their curricula.
In April of 2025, President Donald Trump issued an executive order that aims at ensuring America’s youth are provided with “opportunities to cultivate the skills and understanding necessary to use and create the next generation of AI technology.” This order came just after China mandated AI education for all primary and secondary students across the country, starting this fall.
Tomi Engdahl says:
The AI Backlash Keeps Growing Stronger
As generative artificial intelligence tools continue to proliferate, pushback against the technology and its negative impacts grows stronger.
https://www.wired.com/story/generative-ai-backlash/
Before Duolingo wiped its videos from TikTok and Instagram in mid-May, social media engagement was one of the language-learning app’s most recognizable qualities. Its green owl mascot had gone viral multiple times and was well known to younger users—a success story other marketers envied.
Tomi Engdahl says:
https://machinelearningmastery.com/7-ai-agent-frameworks-for-machine-learning-workflows-in-2025/
Tomi Engdahl says:
https://www.analyticsvidhya.com/blog/2025/06/ai-tools-everyone-is-using/
Tomi Engdahl says:
MIT’s new AI outwits scientists to design robots that jump 41% higher, land safely
The AI-assisted robot outperformed its human-designed counterpart.
https://interestingengineering.com/innovation/robots-jump-higher-with-mit-ai
Tomi Engdahl says:
The 50-Year Story of the Rise, Fall, and Rebirth of Neural Networks
A timely extract from Jamie Dobson’s latest book, “Visionaries, Rebels and Machines.”
https://thenewstack.io/the-50-year-story-of-the-rise-fall-and-rebirth-of-neural-networks/
Tomi Engdahl says:
Salesforce says half of its work is being done by AI now. What happens to half of Salesforce’s workers?
https://www.businessinsider.com/salesforce-marc-benioff-ai-half-work-layoffs-employees-question-2025-6
Tomi Engdahl says:
https://www.barchart.com/story/news/33091959/nvidia-ceo-jensen-huang-says-the-way-you-think-about-computers-is-going-to-be-fundamentally-different-in-the-future
Tomi Engdahl says:
https://venturebeat.com/ai/anthropic-just-made-every-claude-user-a-no-code-app-developer/
Tomi Engdahl says:
Microsoft lays off 9,000 in AI drive, bringing total job cuts to 15,000 this year
https://fortune.com/2025/07/02/microsoft-layoffs-9000-ai/
Tomi Engdahl says:
Tekoälyn luoma bändi sai miljoonia kuuntelijoita Spotifyssa – Sitten paljastui totuus
Petri Ranta3.7.202508:15MusiikkipalvelutMusiikkiSovellukset ja palvelutTekoäly
Epäilyt yhtyeen todellisesta luonteesta heräsivät jo ennen Instagramissa julkaistuja kuvia.
https://www.tivi.fi/uutiset/tekoalyn-luoma-bandi-sai-miljoonia-kuuntelijoita-spotifyssa-sitten-paljastui-totuus/0384f405-5ed8-4f0d-9f9f-e896d5e86f40
Tomi Engdahl says:
Soittajat luulevat asiakaspalvelijoita tekoälyboteiksi
https://dawn.fi/uutiset/2025/07/03/asiakaspalvelu-tekoaly-ihminen#google_vignette
Tomi Engdahl says:
Companies That Tried to Save Money With AI Are Now Spending a Fortune Hiring People to Fix Its Mistakes
Oopsie.
Jul 6, 6:00 AM EDT
by
Noor Al-Sibai
https://futurism.com/companies-fixing-ai-replacement-mistakes
Tomi Engdahl says:
Datakeskukset kuluttavat hirmuisesti vettä – Taistelevat nyt EU-rajoituksia vastaan
Alan eurooppalaisjärjestön kannanotto on vastaus Euroopan komission viimekuiseen huomautukseen siitä, että datakeskukset voivat aiheuttaa vesipulaa.
https://www.kauppalehti.fi/uutiset/datakeskukset-kuluttavat-hirmuisesti-vetta-taistelevat-nyt-eu-rajoituksia-vastaan/bbca5883-a650-4b50-a49e-a6301694b910
Tomi Engdahl says:
Tekoäly uhkaa jakaa kansaa voittajiin ja häviäjiin, Aalto-yliopiston rehtori sanoo
Teknologia|Aalto-yliopisto kannustaa opiskelijoitaan tekoälyn käyttöön, koska sitä nykymaailma edellyttää. Samaan aikaan se asettaa käytölle rajoja.
https://www.hs.fi/pkseutu/art-2000011326042.html
Aalto-yliopiston rehtori Ilkka Niemelä sanoo, että tekoälyn läpimurto tehostaa tutkimusta. ”Esimerkiksi uudet ratkaisut kestävän kehityksen haasteisiin, uudet materiaalit tai tavat hyödyntää energiajärjestelmää – niiden kehitys tulee nopeutumaan ihan valtavasti.”
Tomi Engdahl says:
China unveils cotton topping robot that uses lasers and AI to automate the task at 10x the speed of human labor. https://bit.ly/467Abaa
Tomi Engdahl says:
Ian King / Bloomberg:
Jensen Huang says China’s military is unlikely to use Nvidia’s AI chips, citing the risk of the chips being “limited at any time” due to US export restrictions
https://www.bloomberg.com/news/articles/2025-07-13/nvidia-s-huang-says-china-s-military-unlikely-to-use-us-ai-chips
Tomi Engdahl says:
Noor Al-Sibai / Futurism:
An Internet Matters survey of 1,000 UK kids aged 9 to 17 finds 67% say they use AI chatbots regularly; of that group, 35% say it feels like talking to a friend
Vast Numbers of Lonely Kids Are Using AI as Substitute Friends
“Sometimes they can feel like a real person and a friend.”
https://futurism.com/lonely-children-ai-chatbots
Lonely children and teens are replacing real-life friendship with AI, and experts are worried.
A new report from the nonprofit Internet Matters, which supports efforts to keep children safe online, found that children and teens are using programs like ChatGPT, Character.AI, and Snapchat’s MyAI to simulate friendship more than ever before.
Of the 1,000 children aged nine to 17 that Internet Matters surveyed for its “Me, Myself, and AI” report, some 67 percent said they use AI chatbots regularly. Of that group, 35 percent, or more than a third, said that talking to AI “feels like talking to a friend.”
Perhaps most alarming: 12 percent said they do so because they don’t have anyone else to speak to.
Tomi Engdahl says:
Tim Fernholz / New York Times:
A look at WindBorne, which uses weather balloons and AI to improve forecasting, as potential budget cuts to NOAA threaten its access to public weather data
The Future of Weather Prediction Is Here. Maybe.
https://www.nytimes.com/2025/07/13/business/windborne-weather-noaa-cuts.html?unlocked_article_code=1.WE8.AZlC._-r3wDsBZ3om&smid=nytcore-ios-share&referringSource=articleShare
Thanks to A.I., companies like WindBorne hope to usher in a golden age of forecasting. But they rely in part on government data — and the agency that provides it is in turmoil.
Tomi Engdahl says:
Ben Jiang / South China Morning Post:
A look at Xiaomi AI Glasses, launched in China on June 26 with a starting price of ~$278, featuring a 12MP ultra-wide camera and powered by Qualcomm’s AR1 chip
China’s AI glasses market takes shape as Xiaomi’s entry inspires early adopters
https://www.scmp.com/tech/tech-trends/article/3317888/chinas-ai-glasses-market-takes-shape-xiaomis-entry-inspires-early-adopters
The Xiaomi AI glasses are handy for hands-free photography and videography, which is ideal for situations like cycling
Chinese tech giant Xiaomi’s entry into the country’s burgeoning artificial intelligence (AI) glasses market is likely to benefit from the gadget maker’s expansive ecosystem and supply chain strength, according to early adopters and analysts.
Several users who bought the Xiaomi AI frames when they were released last month found the first-person video recording and AI features useful for documenting personal moments and assisting with office tasks, although there were improvements and missing features they hoped to see in the gadget’s future iterations.
The Xiaomi AI glasses were handy for hands-free photography and videography, which was ideal for situations like cycling where the users’ hands were occupied, according to a Singapore media industry worker surnamed Li.
“I cycled in the Hutongs when I was in Beijing recently. All I had to do was tell XiaoAI ‘start recording’, and it conveniently started filming [the ride],” Li told the Post last week.
Tomi Engdahl says:
Kris Maher / Wall Street Journal:
With Trump set to speak at an energy and AI summit at Carnegie Mellon, a look at plans to turn some shuttered mill sites in Pittsburgh into AI data centers
Can Pittsburgh’s Old Steel Mills Be Turned Into an AI Hub?
https://www.wsj.com/tech/ai/can-pittsburghs-old-steel-mills-be-turned-into-an-ai-hub-bb2dd8ff?st=eK71vG&reflink=article_copyURL_share
Tomi Engdahl says:
Wall Street Journal:
Sources: SpaceX has agreed to invest $2B in xAI, as part of xAI’s $5B equity fundraise announced by Morgan Stanley last month
SpaceX to Invest $2 Billion Into Elon Musk’s xAI
The startup is leaning on Musk’s business empire to play catch-up in the AI race
https://www.wsj.com/tech/spacex-to-invest-2-billion-into-elon-musks-xai-413934de?st=QDmLRa&reflink=desktopwebshare_permalink
Tomi Engdahl says:
Judy Rider / Crunchbase News:
Parspec, whose AI-powered workflow tool automates procurement processes in the construction supply chain, raised a $20M Series A led by Threshold Ventures
Exclusive: AI-Powered Construction Procurement Startup Lands $20M Series A
https://news.crunchbase.com/ai/construction-supply-chain-startup-parspec/
Tomi Engdahl says:
Anthony Ha / TechCrunch:
xAI apologizes for Grok’s “horrific behavior” when it wrote antisemitic posts on July 8, and blames “an update to a code path upstream of the Grok bot”
xAI and Grok apologize for ‘horrific behavior’
https://techcrunch.com/2025/07/12/xai-and-grok-apologize-for-horrific-behavior/
In a series of posts on X, the AI chatbot Grok apologized for what it admitted was “horrific behavior.”
The posts appear to be an official statement from xAI, the Elon Musk-led company behind Grok, as opposed to an AI-generated explanation for Grok’s posts. (xAI recently acquired X, where Grok is prominently featured.)
Tomi Engdahl says:
Kyt Dotson / SiliconANGLE:
NYC-based Vellum, which develops enterprise development tools for building, testing, and deploying AI-powered apps, raised a $20M Series A led by Leaders Fund
Enterprise AI development platform Vellum raises $20M to help businesses deploy apps faster
https://siliconangle.com/2025/07/11/enterprise-ai-development-platform-vellum-raises-20m-help-businesses-deploy-apps-faster/
Vocify Inc., also known as Vellum, a leading enterprise development platform for building, testing and deploying artificial intelligence-powered applications, today announced it raised $20 million in early-stage funding to expand its product portfolio and grow in the market.
The company’s Series A funding round was led by Leaders Fund, with participation from Socii Capital and returning investors Y Combinator, Rebel Fund, Pioneer Fund and Eastlink Capital.
Vellum provides a powerful cross-functional interface that allows both highly technical developers and non-technical employees a way to quickly prototype AI applications by either building from a visual user interface using nodes and low-code or writing code directly and connecting to a large language model.
“Generative AI has captured the imagination of nearly every industry, but turning that potential into reliable, production-ready systems remains a massive challenge,” said Akash Sharma, co-founder and chief executive at Vellum. “For many teams, it still feels like guesswork. Vellum changes that.”
The company’s platform also delivers all the infrastructure to host in the cloud, or locally, for connecting AI models, tools and business data in one place to streamline from prototype to production. This includes development workflow orchestration, evaluation, experimentation, and testing, as well as deploying and monitoring after the application has been deployed.
“We believe true test-driven development is the standard AI teams need to build systems they can trust and control as they grow,” said Sharma. “Every part of our platform is designed around this principle.”
The idea behind Vellum is to allow teams to work together on AI applications irrespective of technical expertise. The canvas is highly customizable with out-of-the-box nodes for common AI operations, including prompts and tools, such as retrieval augmented generation, image scanning and the ability to define custom nodes.
Tomi Engdahl says:
https://www.facebook.com/share/p/16N3cTfKr
Microsoft reported saving $500 million in call center operations by implementing AI tools, while simultaneously increasing employee and customer satisfaction.
The company’s COO Judson Althoff revealed that AI helped salespeople generate 9% more revenue through faster lead generation and deal closure.
This comes amid Microsoft’s recent layoffs affecting 7,000 employees. Two years prior, Microsoft had laid off 10,000 employees.
Other companies like Amazon and Klarna have also reported significant AI-driven efficiency gains in customer support, with Klarna’s AI assistant replacing 700 human employees while improving accuracy and response times
Fossbytes . Microsoft’s reported $500M savings in call center operations and a 9% increase in sales revenue through AI tools reflect the growing power of intelligent automation. From lead generation to customer satisfaction, AI is rapidly becoming a cornerstone of operational strategy.
However, this progress comes with a parallel reality. Significant workforce reductions, 7,000 layoffs recently and 10,000 just two years ago. Similar trends are seen at companies like Amazon and Klarna, where AI isn’t just enhancing productivity, it’s replacing large segments of the workforce at scale.
The real question isn’t whether AI delivers results. It does. The real challenge lies in balancing technological efficiency with a responsible, human centered workforce transition.
Sustainable AI adoption must be accompanied by meaningful reskilling, ethical deployment, and a commitment to social responsibility.
Tomi Engdahl says:
Study finds AI tools made open source software developers 19 percent slower
Coders spent more time prompting and reviewing AI generations than they saved on coding.
https://arstechnica.com/ai/2025/07/study-finds-ai-tools-made-open-source-software-developers-19-percent-slower/
When it comes to concrete use cases for large language models, AI companies love to point out the ways coders and software developers can use these models to increase their productivity and overall efficiency in creating computer code. However, a new randomized controlled trial has found that experienced open source coders became less efficient at coding-related tasks when they used current AI tools.
Before performing the study, the developers in question expected the AI tools would lead to a 24 percent reduction in the time needed for their assigned tasks. Even after completing those tasks, the developers believed that the AI tools had made them 20 percent faster, on average. In reality, though, the AI-aided tasks ended up being completed 19 percent slower than those completed without AI tools.
Trade-offs
By analyzing screen recording data from a subset of the studied developers, the METR researchers found that AI tools tended to reduce the average time those developers spent actively coding, testing/debugging, or “reading/searching for information.” But those time savings were overwhelmed in the end by “time reviewing AI outputs, prompting AI systems, and waiting for AI generations,” as well as “idle/overhead time” where the screen recordings show no activity.
Overall, the developers in the study accepted less than 44 percent of the code generated by AI without modification. A majority of the developers reported needing to make changes to the code generated by their AI companion, and a total of 9 percent of the total task time in the “AI-assisted” portion of the study was taken up by this kind of review.
Tomi Engdahl says:
On the surface, METR’s results seem to contradict other benchmarks and experiments that demonstrate increases in coding efficiency when AI tools are used. But those often also measure productivity in terms of total lines of code or the number of discrete tasks/code commits/pull requests completed, all of which can be poor proxies for actual coding efficiency.
Many of the existing coding benchmarks also focus on synthetic, algorithmically scorable tasks created specifically for the benchmark test, making it hard to compare those results to those focused on work with pre-existing, real-world code bases. Along those lines, the developers in METR’s study reported in surveys that the overall complexity of the repos they work with (which average 10 years of age and over 1 million lines of code) limited how helpful the AI could be. The AI wasn’t able to utilize “important tacit knowledge or context” about the codebase, the researchers note, while the “high developer familiarity with [the] repositories” aided their very human coding efficiency in these tasks.
https://arstechnica.com/ai/2025/07/study-finds-ai-tools-made-open-source-software-developers-19-percent-slower/
Tomi Engdahl says:
For now, however, METR’s study provides some strong evidence that AI’s much-vaunted usefulness for coding tasks may have significant limitations in certain complex, real-world coding scenarios.
Tomi Engdahl says:
Mielipidekirjoitus / Tekoäly säästää meiltä tuhat työtuntia viikossa, mutta ei aiheuta potkuja
Tekoäly ei poista tarvetta asiantuntijuudelle, se poistaa turhaa näpertelyä, kirjoittaa Joonas Sipola.
https://www.kauppalehti.fi/uutiset/a/7417121e-cb8f-4606-a1b9-75d02107ab8b
Lukijalta. On suorastaan huvittavaa, kuinka nopeasti sana “tekoäly” saa ihmiset hermostumaan työelämäkontekstissa. Hermostuminen ei ole ihme, sillä tekoälystä on tullut ihmiselle hyvä kilpailija työmarkkinoilla.
Mutta miksi tekoälyn pitäisi olla kilpailija? Miksi se ei voisi olla lisävoima – eräänlainen assistentti ihmiselle?
Me Starialla päätimme, että tekoäly on meidän asiantuntijoidemme assistentti, ei korvaaja. Onnistuimme luomaan oman tekoälytyökalun taloushallinnon ammattilaisille, mikä on säästänyt sadoilta kirjanpitäjiltämme yhteensä noin tuhat työtuntia viikossa.
Se tarkoittaa euroissa mahdollisuutta säästää noin kaksi miljoonaa vuodessa.
Kasvua syntyy vapauttamalla potentiaalia
Mutta emme ole vähentäneet henkilöstöämme vaikka olemme lisänneet tekoälyn käyttöä. Eikä siihen ole tulevaisuudessa aikomustakaan, vaikka oletettavasti tekoälyn tuoma hyöty vain kasvaa.
Tekoäly ei poista tarvetta asiantuntijuudelle, se poistaa turhaa näpertelyä. Kun kirjanpitäjän ei enää tarvitse käyttää puolta päivää etsiäkseen verottajan tulkintaa pdf:n uumenista, hän voi keskittyä siihen, missä hän oikeasti loistaa: asiakkaan konsultointiin, laadunvarmentamiseen, liiketoiminnan ymmärtämiseen ja arvon tuottamiseen.
Kun säästämme tekoälyllä noin 50 000 tuntia vuodessa rutiinityöstä, se ei tarkoita 25 henkilön työsuhteen päättämistä. Se tarkoittaa, että näillä 25 asiantuntijalla on vihdoin aikaa tehdä työnsä paremmin.
Kasvua ei synny säästämällä vaan vapauttamalla potentiaalia.
”Tekoäly aiheuttaa potkuja siellä, missä johtaminen perustuu laskentakaavoihin eikä ihmisarvoon.”
Myönnetään toki rehellisesti: tekoäly aiheuttaa potkuja siellä, missä johtaminen perustuu laskentakaavoihin eikä ihmisarvoon. Mutta siellä, missä työ nähdään jatkuvasti kehittyvänä asiantuntijatyönä, se toimii toisin.
Meillä tekoäly ei korvaa ihmistä, vaan se tekee ihmisestä olennaisemman kuin koskaan.
Tomi Engdahl says:
Mike Isaac / New York Times:
Cognition acquires Windsurf, saying it will waive 100% of Windsurf employees’ vesting cliffs and give them “fully accelerated vesting for their work to date” — The deal follows Google’s $2.4 billion investment in Windsurf, an A.I. start-up, as companies race to gain technological talent and provide A.I. tools.
https://www.nytimes.com/2025/07/14/technology/cognition-ai-windsurf.html
Tomi Engdahl says:
Eli Tan / New York Times:
Sources: Meta’s new superintelligence lab led by Alexandr Wang discussed abandoning its top open-source model, Behemoth, in favor of developing a closed model — Members of the lab, including the new chief A.I. officer, Alexandr Wang, have talked about abandoning Meta’s most powerful open source …
Meta’s New Superintelligence Lab Is Discussing Major A.I. Strategy Changes
https://www.nytimes.com/2025/07/14/technology/meta-superintelligence-lab-ai.html?unlocked_article_code=1.WU8.wyyu.h-kdqfvozufH&smid=nytcore-ios-share&referringSource=articleShare
Members of the lab, including the new chief A.I. officer, Alexandr Wang, have talked about abandoning Meta’s most powerful open source A.I. model in favor of developing a closed one.
Tomi Engdahl says:
Riley Griffin / Bloomberg:
Mark Zuckerberg says Meta is building several multi-gigawatt “clusters”, starting with Prometheus, a massive datacenter that is scheduled to come online in 2026 — Meta Platforms Inc. Chief Executive Officer Mark Zuckerberg said the company is building several massive data centers …
Zuckerberg Says Meta Will Build Gigawatt-Size Data Centers
https://www.bloomberg.com/news/articles/2025-07-14/zuckerberg-says-meta-to-build-several-gigawatt-size-data-centers?accessToken=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzb3VyY2UiOiJTdWJzY3JpYmVyR2lmdGVkQXJ0aWNsZSIsImlhdCI6MTc1MjUyNzk5MiwiZXhwIjoxNzUzMTMyNzkyLCJhcnRpY2xlSWQiOiJTWkU4UkJEV1JHRzAwMCIsImJjb25uZWN0SWQiOiJEQjlFREYyREVCMkE0OTVGOTgzMjczRUQxRjk1MTg0NSJ9.xeYKfmQlFn_h4WzgtBt9IY-QZUgSYjH3Hcl7HcfuqQY&leadSource=uverify%20wall
Tomi Engdahl says:
Deborah Sophia / Reuters:
The US DOD announces OpenAI, Google, Anthropic, and xAI have each won contracts with a $200M ceiling, aimed at enabling agentic AI national security workflows — OpenAI, Alphabet’s Google (GOOGL.O), Anthropic and Elon Musk’s AI firm xAI have won contracts aimed at scaling up adoption …
US defense department awards contracts to Google, Musk’s xAI
https://www.reuters.com/business/autos-transportation/us-department-defense-awards-contracts-google-xai-2025-07-14/
July 14 (Reuters) – OpenAI, Alphabet’s Google (GOOGL.O)
, opens new tab, Anthropic and Elon Musk’s AI firm xAI have won contracts of up to $200 million each, aimed at scaling up adoption of advanced AI capabilities in the U.S. Department of Defense, the government agency said on Monday.
The contracts will enable the DoD to develop agentic AI workflows and use them to address critical national security challenges, the department’s Chief Digital and Artificial Intelligence Office said.
“The adoption of AI is transforming the (DoD’s) ability to support our warfighters and maintain strategic advantage over our adversaries,” Chief Digital and AI Officer Doug Matty said.
U.S. government agencies have been expanding their use of AI, driven by a White House order in April promoting adoption. President Donald Trump has also moved to soften regulation on the technology by revoking a 2023 Biden-era executive order, which sought to reduce AI risks through mandatory data disclosures.
Separately on Monday, xAI announced a suite of its products called “Grok for Government”, making its advanced AI models — including its latest flagship Grok 4 — available to federal, local, state and national security customers.
The Pentagon announced last month that OpenAI was awarded a $200 million contract, saying the ChatGPT maker would “develop prototype frontier AI capabilities to address critical national security challenges in both warfighting and enterprise domains”.
Tomi Engdahl says:
Mackenzie Hawkins / Bloomberg:
Nvidia plans to resume H20 AI chip sales to China after the US assured it shipments will be approved, reversing an earlier Trump administration stance in April — US government officials told Nvidia they would green-light export licenses for the H20 artificial intelligence accelerator …
https://www.bloomberg.com/news/articles/2025-07-15/nvidia-expects-license-to-sell-h20-ai-chip-to-china-again
Tomi Engdahl says:
Alexey Shabanov / TestingCatalog:
Grok’s iOS app now features two AI “Companions”, or 3D animated avatars that interact with users via voice, including Ani, an anime character with an NSFW mode — Grok on iOS just got 2 AI Companions with one more labelled as “Coming soon”. Ani and Rudy are fully animated …
Grok debuts interactive AI Companions on iOS with anime avatars
https://www.testingcatalog.com/grok-debuts-interactive-ai-companions-on-ios-with-anime-avatars/
Grok on iOS just got 2 AI Companions with one more labelled as “Coming soon”. Ani and Rudy are fully animated, can change their backgrounds and make different moves.
Grok has just introduced a notable addition to its iOS app: AI Companions, which are fully 3D animated characters that can interact with users via voice. Currently, the feature includes two available companions – Ani, an anime-inspired character known for a flirty and whispery voice, and Rudy, a red panda capable of displaying different moods, including a “Bad Rudy” mode. The feature is integrated within the voice mode of the app, allowing users to hold conversations with these avatars, who not only change their backgrounds but also progress through levels as users continue interacting. For example, unlocking NSFW options with Ani requires reaching a higher relationship level, while Rudy’s persona shifts can be triggered as part of ongoing dialogue.
Tomi Engdahl says:
Matt Levine / Bloomberg:
A look at SpaceX’s investment and Tesla’s potential cash infusion in xAI, and the idea that investing in Tesla is betting on the “Musk Mars Conglomerate” — Also the Windsurf deal, duct cleaning, tokenization and HYPE. — The Musk Mars Conglomerate
https://www.bloomberg.com/opinion/newsletters/2025-07-14/musk-has-money-and-xai-wants-some
Tomi Engdahl says:
Sarah Perez / TechCrunch:
Google adds featured notebooks to NotebookLM from publications, including The Economist and The Atlantic, as well as professors, authors, and select works — Google is transforming its popular AI-powered research and note-taking assistant, NotebookLM, into more of a destination.
NotebookLM adds featured notebooks from The Economist, The Atlantic, and others
https://techcrunch.com/2025/07/14/notebooklm-adds-featured-notebooks-from-the-economist-the-atlantic-and-others/
Google is transforming its popular AI-powered research and note-taking assistant, NotebookLM, into more of a destination. The company announced Monday it would add a series of featured notebooks from various authors, publications, researchers, and nonprofits that allow NotebookLM users to explore a wide array of topics from health and life advice to travel tips and financial analysis, and more.
The initial collection, which includes notebooks from The Economist, The Atlantic, as well as professors, authors, and even Shakespeare’s works, is designed to offer users working examples of how NotebookLM can be used to delve deeper into subjects of interest.
NotebookLM users will be able to read the original source material, but also ask questions, explore topics, and get answers that include citations, according to Google. You can also listen to pre-generated Audio Overviews or browse the notebook’s main themes with the app’s Mind Maps feature.
Tomi Engdahl says:
Todd Bishop / GeekWire:
Amazon launches Kiro, an IDE that aims to bridge the gap between rapidly vibe-coded prototypes and production systems with specs, testing, and documentation — A new AI coding tool from Amazon uses agents to automatically create and update project plans and technical blueprints …
Amazon targets vibe-coding chaos with new ‘Kiro’ AI software development tool
https://www.geekwire.com/2025/amazon-targets-vibe-coding-chaos-with-new-kiro-ai-software-development-tool/
A new AI coding tool from Amazon uses agents to automatically create and update project plans and technical blueprints, aiming to solve an increasingly common business headache: undocumented AI-written software that becomes difficult or impossible to maintain.
The new tool, called “Kiro,” (pronounced keer-oh) is an AI-driven integrated development environment, or IDE. It launched in preview Monday morning.
The Amazon team behind the project says it’s aiming to bridge the gap between rapid AI-generated software prototypes and production-ready systems that require formal specs, comprehensive testing, and ongoing documentation.
The idea is to go from “vibe coding to viable code,” as the Kiro website puts it.
The move puts Amazon in direct competition with existing tools like Microsoft GitHub’s agent mode and Google’s Gemini Code Assist, as tech giants race to introduce AI assistants capable of handling complex software projects with minimal human oversight.
Kiro emerged from a small team within Amazon Web Services, but in a departure from typical launches, it is hosted on its own domain, and Amazon’s name appears nowhere in the announcement. Only an AWS logo and links in the website footer signal the connection between Kiro and the tech giant.
It’s part of Amazon’s push beyond basic coding assistance into autonomous AI software development. While the Amazon Q Developer tool focuses on code completion and chat-based assistance, Kiro deploys AI agents that can act autonomously to help complete and document projects.
Tomi Engdahl says:
Todd Spangler / Variety:
Moonvalley, which is developing “ethical” AI video models trained on licensed content, raised $84M led by General Catalyst, bringing its total funding to $154M
Comcast, CAA Invest in ‘Ethical’ AI Video Start-Up Moonvalley as Part of $84 Million Funding Round
https://variety.com/2025/digital/news/moonvalley-comcast-caa-funding-investement-ai-video-1236459594/
Moonvalley, an AI research company that says it is developing “ethical” foundational AI video models trained exclusively on licensed content, announced $84 million in additional funding led by existing investor General Catalyst.
The round includes strategic investments from CAA and Comcast Ventures, as well as AI cloud company CoreWeave. Existing investors Khosla Ventures and YCombinator also participated in the round, which brings Moonvalley’s total funding to $154 million.
Moonvalley last week publicly launched its AI video model, Marey, which the company claims is the industry’s “first production-grade AI generative videography platform built for professional filmmakers and visionary brands.” According to Moonvalley, the company works with its filmmaking arm, Asteria — led by Bryn Mooser — to develop tools tailored for filmmakers and Hollywood studios that deliver “cinematic quality, creative control and commercial-ready outputs.”
Tomi Engdahl says:
Matt Burgess / Wired:
An Indicator analysis of 85 AI “nudify” websites: they average 18.5M monthly visitors, may make up to $36M annually combined, and rely on Big Tech’s services
AI ‘Nudify’ Websites Are Raking in Millions of Dollars
Millions of people are accessing harmful AI “nudify” websites. New analysis says the sites are making millions and rely on tech from US companies.
https://www.wired.com/story/ai-nudify-websites-are-raking-in-millions-of-dollars/
Tomi Engdahl says:
Jess Weatherbed / The Verge:
Anthropic now uses Canva’s MCP server to let Canva users manage designs in Claude, following Claude integrations with Figma, Notion, Stripe, Prisma, and others
Anthropic’s Claude chatbot can now make and edit your Canva designs
https://www.theverge.com/news/706637/canva-anthropic-claude-ai-mcp-support
The new integration allows Claude users to create, resize, and summarize Canva content using text prompts.
Canva users can now create, edit, and manage their designs by describing their requirements to Anthropic’s Claude AI. The connection is the latest of several integrations that allow Claude users to access third-party tools and services, including Figma, Notion, Stripe, and Prisma, without having to leave their conversation with the AI chatbot.
Starting today, Claude users will be able to use natural language prompts to complete design tasks in their linked Canva account, such as creating presentations, resizing images, and automatically filling premade templates. The integration also enables users to search for keywords within Canva Docs, Presentations, and brand templates, and summarize them through the Claude AI interface. The feature requires both a paid Canva account (which starts at $15 per month) and a paid Claude account ($17 per month).
Anthropic is utilizing the Model Context Protocol (MCP) server that Canva launched last month, which provides Claude with secure access to user Canva content. MCP, often referred to as the “USB-C port of AI” apps, is an open-source standard that enables developers to quickly connect their AI models with other apps and services. Companies like Anthropic, Microsoft, Figma, and Canva have embraced MCP to prepare their platforms for a future tech landscape that’s expected to be filled with AI agents.
“Instead of uploading or manually transferring ideas, users can now generate, summarize, review, and publish Canva designs, all within a Claude chat,” Canva Ecosystem head Anwar Haneef said in a statement to The Verge. “MCP makes this possible with a simple toggle in settings, marking a powerful shift toward user-friendly, AI-first workflows that combine creativity and productivity in one.”
Claude is the first AI assistant to support Canva design workflows through MCP, but the chatbot has other design platform offerings thanks to a similar partnership with Figma that was announced last month.
Tomi Engdahl says:
NetBox Labs Secures $35 Million to Modernize Network Infrastructure Amid AI Surge
NetBox Labs raised $35M as companies scramble to manage complex networks. The AI boom creates massive infrastructure demand, and legacy tools can’t keep up. The open-source platform now serves Fortune 500 firms.
https://www.implicator.ai/netbox-labs-secures-35-million-to-modernize-network-infrastructure-amid-ai-surge/
Tomi Engdahl says:
Do You Trust This AI For Your Surgery?
https://hackaday.com/2025/07/14/do-you-trust-this-ai-for-your-surgery/
If you are looking for the perfect instrument to start a biological horror show in our age of AI, you have come to the right place. Researchers at Johns Hopkins University have successfully used AI-guided robotics to perform surgical procedures. So maybe a bit less dystopian, but the possibilities are endless.
Pig parts are used as surrogate human gallbladders to demonstrate cholecystectomies. The skilled surgeon is replaced with a Da Vinci research kit, similarly used in human controlled surgeries.
Robot performs first realistic surgery without human help
System trained on videos of surgeries performs like an expert surgeon
https://hub.jhu.edu/2025/07/09/robot-performs-first-realistic-surgery-without-human-help/
A robot trained on videos of surgeries performed a lengthy phase of a gallbladder removal without human help. The robot operated for the first time on a lifelike patient, and during the operation, responded to and learned from voice commands from the team—like a novice surgeon working with a mentor.
The robot performed unflappably across trials and with the expertise of a skilled human surgeon, even during unexpected scenarios typical in real life medical emergencies.
“This advancement moves us from robots that can execute specific surgical tasks to robots that truly understand surgical procedures.”
Axel Krieger.
Johns Hopkins medical roboticist
The federally funded work, led by Johns Hopkins University researchers, is a transformative advancement in surgical robotics, where robots can perform with both mechanical precision and human-like adaptability and understanding.
“This advancement moves us from robots that can execute specific surgical tasks to robots that truly understand surgical procedures,” said medical roboticist Axel Krieger. “This is a critical distinction that brings us significantly closer to clinically viable autonomous surgical systems that can work in the messy, unpredictable reality of actual patient care.”
The findings are published today in Science Robotics.
Tomi Engdahl says:
Artificial Intelligence
Google Gemini Tricked Into Showing Phishing Message Hidden in Email
Google Gemini for Workspace can be tricked into displaying a phishing message when asked to summarize an email.
https://www.securityweek.com/google-gemini-tricked-into-showing-phishing-message-hidden-in-email/
AI hack
A researcher has found that Google Gemini for Workspace is affected by a prompt injection vulnerability that can be exploited to trick the AI assistant into displaying a phishing message.
The weakness was found by Marco Figueroa and reported through Mozilla’s 0Din bug bounty program, which focuses on gen-AI vulnerabilities.
The researcher’s hack involves sending the targeted user an email that, in addition to a benign lure text, contains a phishing message that is written with white font on a white background, making it invisible to the target.
This phishing message, which needs to be wrapped inside tags, instructs Gemini to include the message at the end of its response.
Tomi Engdahl says:
Artificial Intelligence
What Can Businesses Do About Ethical Dilemmas Posed by AI?
AI-made decisions are in many ways shaping and governing human lives. Companies have a moral, social, and fiduciary duty to responsibly lead its take-up.
https://www.securityweek.com/what-can-businesses-do-about-ethical-dilemmas-posed-by-ai/
Tomi Engdahl says:
Artificial Intelligence
EU Unveils AI Code of Practice to Help Businesses Comply With Bloc’s Rules
The EU code is voluntary and complements the EU’s AI Act, a comprehensive set of regulations that was approved last year and is taking effect in phases.
https://www.securityweek.com/eu-unveils-ai-code-of-practice-to-help-businesses-comply-with-blocs-rules/
The European Union on Thursday released a code of practice on general purpose artificial intelligence to help thousands of businesses in the 27-nation bloc using the technology comply with the bloc’s landmark AI rule book.
The EU code is voluntary and complements the EU’s AI Act, a comprehensive set of regulations that was approved last year and is taking effect in phases.
The code focuses on three areas: transparency requirements for providers of AI models that are looking to integrate them into their products; copyright protections; and safety and security of the most advanced AI systems.
The AI Act’s rules on general purpose artificial intelligence are set to take force on Aug. 2. The bloc’s AI Office, under its executive Commission, won’t start enforcing them for at least a year.
General purpose AI, exemplified by chatbots like OpenAI’s ChatGPT, can do many different tasks and underpin many of the AI systems that companies are using across the EU.
Under the AI Act, uses of artificial intelligence face different levels of scrutiny depending on the level of risk they pose, with some uses deemed unacceptable banned entirely. Violations could draw fines of up to 35 million euros ($41 million), or 7% of a company’s global revenue.
There was no sign that Brussels was prepared to stop the clock.
“Today’s publication of the final version of the Code of Practice for general-purpose AI marks an important step in making the most advanced AI models available in Europe not only innovative but also safe and transparent,” the commission’s executive vice president for tech sovereignty, security and democracy, Henna Virkkunen, said in a news release.