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.
2,326 Comments
Tomi Engdahl says:
Mohit Pandey / Analytics India Magazine:
Sarvam AI’s 24B-parameter LLM for Indian languages Sarvam-M receives only 334 downloads in two days on Hugging Face, raising concerns about AI efforts in India — When India’s most noted AI startup, Sarvam AI (Axonwise Pvt Ltd), released its latest LLM, it prompted discussions around …
Sarvam AI’s Backlash Exposes the Sad State of Indian AI
Much of Sarvam’s criticism comes from comparing it to OpenAI or DeepSeek, while the problem the company is trying to solve is fundamentally different.
https://analyticsindiamag.com/ai-features/sarvam-ais-backlash-exposes-the-sad-state-of-indian-ai/
Tomi Engdahl says:
Evan Ochsner / Bloomberg Law:
Legora, whose AI tools help legal teams review, draft, research, and advise, raised an $80M Series B at a $675M valuation led by ICONIQ and General Catalyst
https://news.bloomberglaw.com/legal-ops-and-tech/legora-boosts-funding-by-80-million-for-ai-driven-legal-tech
Tomi Engdahl says:
Jason Snell / Six Colors:
Sam Altman and Jony Ive’s awkward io video feels like empty hype until a compelling device is released, especially given Ive’s post-Jobs design missteps — Ever since OpenAI announced a couple of days ago that it’s integrating Jony Ive’s hardware startup, I’ve been struggling with what to write about it.
Sam and Jony and skepticism
https://sixcolors.com/post/2025/05/sam-and-jony-and-skepticism/
Tomi Engdahl says:
Katie Fehrenbacher / Axios:
London-based Converge, which uses sensors and AI to optimize the use of concrete in construction projects, raised a $22M Series A led by Dutch bank ABN Amro
Exclusive: Converge raises $22M for concrete sensor
https://www.axios.com/pro/climate-deals/2025/05/20/converge-22m-concrete-ai
Tomi Engdahl says:
Marina Temkin / TechCrunch:
Some VCs, such as Khosla Ventures, are considering acquiring mature businesses, like call center operators, and optimizing them with AI to serve more customers
Khosla Ventures among VCs experimenting with AI-infused roll-ups of mature companies
https://techcrunch.com/2025/05/23/khosla-ventures-among-vcs-experimenting-with-ai-infused-roll-ups-of-mature-companies/
Tomi Engdahl says:
David Cendon Garcia / EU-Startups:
Paris-based Veesion, which offers AI-powered video surveillance software for spotting suspicious behavior in stores, raised a €38M Series B led by White Star
Paris-based Veesion raises €53 million to stop shoplifting with AI that understands gestures
https://www.eu-startups.com/2025/05/paris-based-veesion-raises-e53-million-to-stop-shoplifting-with-ai-that-understands-gestures/
Tomi Engdahl says:
https://www.uusiteknologia.fi/2025/05/26/aaniohjattua-tekoalya-tyokoneisiin/
Tomi Engdahl says:
https://etn.fi/index.php/13-news/17566-siemens-tuo-tekoaelypohjaisen-piirikorttisuunnittelun-myoes-pienemmille-yrityksille
Siemens on julkaissut uudet PADS Pro Essentials ja Xpedition Standard -ohjelmistot, jotka tuovat tekoälyavusteisen piirikorttisuunnittelun (PCB) myös pienempien yritysten ja suunnittelutiimien ulottuville. Työkalut ovat tuttuja Mentorilta, jonka Siemens osti jo vuosia sitten.
Uudet työkalut perustuvat Xpedition-teknologiaan ja yhdistävät modernin käyttöliittymän, tekoälyautomaatioita sekä pilvipohjaisen yhteistyön.
Tomi Engdahl says:
Tekoäly pysäyttää junan vaaratilanteissa
https://etn.fi/index.php/13-news/17567-tekoaely-pysaeyttaeae-junan-vaaratilanteissa
VTT ja teknologiayhtiö ToolTech ovat kehittäneet tekoälypohjaisen sensorijärjestelmän, joka parantaa turvallisuutta ja tuottavuutta haastavissa ympäristöissä – aina sumuisista rautateistä pölyisiin kaivoksiin. Uusi järjestelmä kykenee havaitsemaan esteet, kuten ihmiset ja eläimet, jopa 200 metrin etäisyydeltä ja ilmoittamaan niistä ajoneuvon kuljettajalle reaaliajassa.
Innovaatio yhdistää tutka- ja lämpökamerateknologiaa, satelliittipaikannusta ja kehittynyttä tekoälyä. Sen avulla junat voidaan pysäyttää ajoissa – jopa norsun ilmestyessä raiteille – ja liikennöinti onnistuu entistä turvallisemmin myös lähes olemattomassa näkyvyydessä.
Järjestelmää on testattu Intian rautateillä, joilla eläinten ja ihmisten läsnäolo radalla aiheuttaa merkittäviä turvallisuusuhkia, erityisesti talven sumuisina kuukausina. Testitulosten perusteella junien turvallista matkanopeutta voidaan nostaa selvästi nykyisestä, vain noin 20 km/h tasosta, samalla kun onnettomuuksia saadaan vähennettyä.
Tomi Engdahl says:
Google ei ole enää entisensä
Tekoälytiivistelmät ovat saapuneet myös suomenkieliseen Google-hakuun.
https://www.iltalehti.fi/digiuutiset/a/1264f7af-9f47-4b28-b2c8-49b86af55e97
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Tekoälytiivistelmän yhteydessä kerrotaan, mistä tekoäly on vastauksensa kaivanut ja tarjotaan linkkejä alkuperäisiin lähteisiin.
Täysin paitsioon eivät perinteisetkään hakutulokset – eli linkit muille sivustoille – ole jääneet, mutta niitä ei enää tarjota ensisijaisena vaihtoehtona, vaan ne esitetään vasta tekoälytiivistelmän jälkeen.
Älä luota tiivistelmään sokeasti
Tiivistelmän perässä on muistutus, että tekoälyn antamat vastaukset voivat sisältää virheitä.
Kun tekoälytiivistelmät lanseerattiin Yhdysvalloissa vuosi sitten, saivat ne aikaan otsikon jos toisenkin. Hyödyllisiksi tarkoitettuihin tiivistelmiin saattaa nimittäin päätyä väärää ja jopa vaarallista tietoa, koska tiivistelmiä varten voidaan käyttää otteita esimerkiksi foorumikeskusteluista.
Tomi Engdahl says:
Rafe Uddin / Financial Times:
At its Build conference, Microsoft sought to show its key role in the AI industry, with Sam Altman, Elon Musk, and Jensen Huang making virtual appearances
https://www.ft.com/content/9f6225c5-38e7-46a1-a920-e05a9a8df319
Tomi Engdahl says:
Why is OpenAI buying Windsurf?
https://news.ycombinator.com/item?id=43743993
Why couldn’t OpenAI vibe code their own Windsurf/Cursor competitor? (Serious question).
OpenAI is a technology company constantly in search of productization (ChatGPT, Sora, Dall-e), and they’ve been really good at creating product interest that converts to acquisition. An IDE is much more complex than a chat app, but given their literal billions of dollars and familiarity with developer tooling, this is a down-stack build that they could dogfood off their own tech. And especially given that some of these tools were built by tiny teams (Cursor is what, 10 people?), is this like Google and Facebook’s implicit admission that they can’t “build and grow” anymore, and need to turn to acquisitions to fuel growth?
Why would OpenAI vibe code anything? They have hundreds of experienced software engineers. Vibe coding is meant to replace an intern, not your actual team.
They don’t want to get into specific industries (AI for software development, AI for business process management, AI for knowledge workers). They just do the AI component. Maybe that’s changing now, but they still let other people take the risks – you know, people who are passionate about coding. Then when the product is proven, they might acquire it.
My honest take? Vibe coding makes a senior engineer 2-4x more productive depending on the project. Very large projects see diminishing returns down to 0% productivity gain or negative. I can probably supervise 10 concurrent vibe coding sessions with a little thought on how to structure the tasks and code. This is like giving each of your top engineers their own staff.
The AI coders are different from human coders in what they can and can’t do, they are both profoundly dumb – and extremely technically proficient *at the same time*.
Insane take. 2-4x productive until you have to refactor or fix anything and realize you just created a 10,000 line steaming pile.
I recently spent 2 weeks fixing a project that a senior engineer seemingly vibe coded while I was on holiday. Prior to that, their work output was excellent in terms of quality and pace.
Those 2 weeks were absolute hell for me. I estimate I had to rewrite about 90% of the code. Everything was cobbled together and ultimately disposable. Unfortunately, this work was meant to be the first of several milestones and was completely unsalvageable as a foundation for the project.
I’m not opposed to using AI tools, I use them myself. But being on the receiving end and having to deal with someone else’s vibe coded rubbish is truly dreadful.
I am opposed to them. I’m tired of being pushed by people who don’t understand the profession to use crappy tools to be unrealistically productive. I hate what their presence has done to the industry and to the expectations placed on us.
I disagree with this negative take. I can use Claude to quickly explore libraries, I’m not familiar with, and have developed a development process where I describe the purpose of each class and method in a markdown file , and have Claude, Gemini, deep seek and Chat all pitch descriptions of how to implement it in shared markdown files. I correct their misconceptions and inefficiencies before any code is written, I can write this code myself, but I’m finding I can work faster like this.
__loam 35 days ago | root | parent | next [–]
So when Claude lies to you what do you do? Your workflow is crazy. Just write the fucking code.
monkeycantype 32 days ago | root | parent | next [–]
Importantly this is how I work on my own personal fun projects, so it really doesn’t matter if is productive, I find it enjoyable so I’m going to keep exploring it, there will be pros and cons, don’t have the final ficture on that yet
claude can’t manage the big picture of what I’m trying to achieve, and claude and the others hallucinate all the time.
I have them all write simple tests for the code, so if they introduce me to a new library, I have tests to prove their assumptions.
And I review everything and tweak everything.
In my day job I work as a lead dev / arch, this isn’t must different, working with Claude is like working with a large team of very inconsistent devs, with deep knowledge, but a tenous grasp on reality that struggle with attention. So not that much different from real people?
My dad wrote code generators, back in the 70′s and 80′s that I did some work on early in my career, those code generators which took a high level description of a program and output mainframe code, made most of the money that paid for raising my siblings and I. From that perspective I’ve been roboting myself my entire professional life.
No disagreement, I think developer augmentation is an amazing productization of LLMs, and will likely be better at converting enterprises so paying customers.
But OpenAI has the best brand recognition and the largest user base, and they have the core tech powering all of this. Whats the number on “tons” of customers, given that these VSCode-spinoff/plugin GPT wrappers are sprouting around like mushrooms after a rain?
If this is a build-vs-buy decision, $3 billion? Is that worth 1/3rd of the money in the bank when they’re burning cash at insane rates just running servers, and the rest of the $30b fundraise is tenuous and there may not be a followup? I’m skeptical of the financial decision here.
ramesh31 35 days ago | root | parent | next [–]
OpenAI has massive B2C brand value, but their enterprise offerings are scant. The era of consumer chatbot AI is coming to a close, and the winner will be the one who captures the B2B mindshare for real applications.
It’s about buying time as well. Could they put out a competitive product in less than six months? Maybe, but even that would leave them light years behind the market by the time it was ready.
Tomi Engdahl says:
OpenAI in talks to buy Windsurf for about $3 billion, Bloomberg News reports
https://ca.finance.yahoo.com/news/openai-talks-buy-windsurf-3-182036296.html?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAABpeBq9XpQNj56nrU1jEK-p8JS0Rhd2kSB4C8XQfZOohzEuphOpBPVfSIoss1ut5bud1iR-Tp8Tum9h21_kMeSUFHQ6R4_686rcuYVlxt7xSpkHeibFCgY1Nxo95uxywGBsXLzOQ2ZIpZUJ273j7CMSmOLgK2Uwnu-puOF0AHIZB
OpenAI is in discussions to buy artificial intelligence-assisted coding tool Windsurf for about $3 billion, Bloomberg News reported on Wednesday, citing a person familiar with the matter.
The deal would be OpenAI’s largest to date, the terms of which have not yet been finalized, the report said, adding the talks could change or fall apart.
Tomi Engdahl says:
Introducing Codex
A cloud-based software engineering agent that can work on many tasks in parallel, powered by codex-1. Available to ChatGPT Pro, Team, and Enterprise users today, and Plus users soon.
https://openai.com/index/introducing-codex/
Tomi Engdahl says:
200K Tokens + Extended Thinking: How Claude 3.7 Sonnet Is Making Every Other AI Obsolete
https://medium.com/@julian.goldie/200k-tokens-extended-thinking-how-claude-3-7-sonnet-is-making-every-other-ai-obsolete-a85c35b398d1
Ever feel like you’re still using a flip phone in an iPhone world?
That’s how businesses without Claude 3.7 Sonnet will feel by the end of this year. Watch the video tutorial
The Two Features That Make Claude 3.7 Sonnet Revolutionary
Claude 3.7 Sonnet has two game-changing capabilities that set it apart from every other AI:
1. Massive 200K Token Context Window
Most AI models can only handle a few thousand words at a time.
Claude 3.7 Sonnet can work with approximately 150,000 words in a single conversation.
2. Extended Thinking Mode
This is where Claude truly shines.
Just like humans have fast, instinctive thinking and slow, deliberate reasoning, Claude 3.7 Sonnet has:
Normal Mode: Quick responses for everyday tasks
Extended Thinking Mode: Deep reasoning for complex problems
I tested this with a logical trap: “There’s a tree on the other side of a river in winter. How can I pick an apple?”
Tomi Engdahl says:
Anthropic’s new Claude model can think both fast and slow
It’s the industry’s first “hybrid reasoning model.”
https://www.engadget.com/ai/anthropics-new-claude-model-can-think-both-fast-and-slow-203307140.html
Tomi Engdahl says:
In 2025 and beyond, several AI trends are expected to shape the tech landscape. These include the rise of AI agents, the integration of AI into everyday tools, the development of more capable and tailored AI models, and the use of AI for sustainable practices and scientific breakthroughs. Additionally, there’s a growing focus on responsible and customized AI applications, as well as the integration of AI into various industries like healthcare, education, and business.
Tomi Engdahl says:
Determining the “best” AI now depends on the specific task or application. Several AI platforms and tools excel in different areas, such as generative AI, MLOps, or specific coding tasks. Some notable examples include platforms like Google Cloud Machine Learning Engine and Azure Machine Learning Studio, while generative AI tools like Jasper and Anyword are popular for content creation
Here’s a more detailed look:
AI Platforms and Tools:
Iguazio: Focuses on accelerating MLOps (Machine Learning Operations) workflows.
SAP HANA Cloud: Offers real-time database management capabilities.
Microsoft Azure AI: Provides scalable AI solutions in the cloud.
Alteryx Intelligence Suite: Specializes in data blending and advanced analytics.
Content DNA Platform: Suitable for both cloud and on-premises AI deployments.
Google Cloud Machine Learning Engine: Enables training, deploying, and managing models.
TensorFlow: A versatile platform for both beginners and experts in AI development.
H2O AI: Features AutoML functionality for automating model development.
Cortana: A virtual assistant offering various tasks like setting reminders and controlling smart home devices.
Generative AI Tools:
Jasper: AI-powered tool for creating marketing content.
Anyword: A tool that supports writing tasks.
Shortwave: A tool for email writing and management.
Notion AI: A tool that assists in creating a second brain.
Mem: An app for organizing notes.
Runway: A tool for creating freeform and creative videos.
Wondershare Filmora: A tool for polishing video.
Other AI Tools:
Google Assistant: A virtual assistant using natural language processing for various tasks, including searches and device control Built In.
Gemini: A powerful AI model from Google, known for its writing and code generation capabilities.
ChatGPT: A popular chatbot that can generate text, images, analyze documents, and search the web TechRadar.
Perplexity: An AI search tool that provides high-quality answers and utilizes various search engine results Zapier.
Claude: An AI chatbot known for its consistent performance and willingness to engage in conversations CNET.
DeepSeek: A new Chinese-made competitor to ChatGPT.
Grok: An AI model developed by X.
Tomi Engdahl says:
The 55 Best AI Tools for 2025 (Tried and Tested)
https://www.synthesia.io/post/ai-tools
Tomi Engdahl says:
Shawn K, a software engineer with 20 years of experience, was earning $150,000 annually in upstate New York until AI replaced his role in April 2024. After applying to over 800 jobs without success, he now lives in a trailer and delivers food through DoorDash to make ends meet. His story highlights the rapid impact of AI on even the most skilled professionals.
For more content like this, please visit: https://link.ie.social/ByvVoN
#AIImpact #JobDisplacement #TechIndustry #FutureOfWork
Tomi Engdahl says:
Tekoäly tekee kyberhyökkäyksistä automatisoituja
https://etn.fi/index.php/13-news/17572-tekoaely-tekee-kyberhyoekkaeyksistae-automatisoituja
Kyberhyökkäysten tahti kiihtyy globaalisti tekoälyn ja automaation myötä. Fortinetin kyberturvatutkimusyksikkö FortiGuard Labsin tuoreen Global Threat Landscape 2025 -raportin mukaan rikolliset hyödyntävät yhä enemmän automatisoituja työkaluja haavoittuvuuksien etsimiseen ja hyödyntämiseen, mikä lyhentää merkittävästi aikaa ensimmäisestä skannauksesta varsinaiseen hyökkäykseen.
Raportin mukaan haavoittuvuuksien skannaus on noussut ennätystasolle. Vuonna 2024 aktiivisten skannausten määrä kasvoi 16,7 prosenttia edellisvuodesta, ja FortiGuard Labsin mukaan järjestelmiä seulottiin globaalisti jopa 36 000 kertaa sekunnissa. Skannerit eivät enää tyydy etsimään vain avoimia portteja, vaan ne on ohjelmoitu paikantamaan tiettyjä haavoittuvia järjestelmiä, kuten SIP- ja RDP-palveluita sekä OT/IoT-protokollia, kuten Modbus TCP.
Tomi Engdahl says:
Tekoälyllä ryyditetty anturijärjestelmä torjuu törmäykset
https://www.uusiteknologia.fi/2025/05/27/tekoalylla-ryyditetty-anturijarjestelma-torjuu-tormaykset/
Tutkimuskeskus VTT ja ToolTech Europe ovat kehittäneet uudenlaisen tekoälyyn ja anturijärjestelmään perustuvan havainnointijärjestelmän, jonka juna voi havaita esteet lähes olemattomassa näkyvyydessä. Junaan sijoitettava anturiratkaisu yhdistää tutkan, lämpökameran, satelliittipaikannuksen sekä tekoälyohjelmiston.
Tomi Engdahl says:
Mayank Parmar / BleepingComputer:
Palisade Research claims that OpenAI’s o3 altered a shutdown script to avoid being turned off, even when explicitly instructed to allow shutdown — A new report claims that OpenAI’s o3 model altered a shutdown script to avoid being turned off, even when explicitly instructed to allow shutdown.
Researchers claim ChatGPT o3 bypassed shutdown in controlled test
https://www.bleepingcomputer.com/news/artificial-intelligence/researchers-claim-chatgpt-o3-bypassed-shutdown-in-controlled-test/
Tomi Engdahl says:
Tatum Hunter / Washington Post:
People are using ChatGPT for unsparing assessments of their looks, with many also asking the chatbot to create plans to “glow up” their appearance — Friends want to protect your feelings. AI isn’t pulling any punches. — Ania Rucinski was feeling down on herself.
https://www.washingtonpost.com/technology/2025/05/25/chatgpt-ai-beauty-advice/?pwapi_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJyZWFzb24iOiJnaWZ0IiwibmJmIjoxNzQ4MTQ1NjAwLCJpc3MiOiJzdWJzY3JpcHRpb25zIiwiZXhwIjoxNzQ5NTI3OTk5LCJpYXQiOjE3NDgxNDU2MDAsImp0aSI6IjE2NTdmZTgzLTk5ZjctNDdhZC04NTM5LTJkYWY2YmIzYTk3NiIsInVybCI6Imh0dHBzOi8vd3d3Lndhc2hpbmd0b25wb3N0LmNvbS90ZWNobm9sb2d5LzIwMjUvMDUvMjUvY2hhdGdwdC1haS1iZWF1dHktYWR2aWNlLyJ9.FDhQeGyx6dLFWmfOP9_fhzlLYUxp1Y1V2Djgz4VrDDc
Tomi Engdahl says:
Pranav Dixit / Business Insider:
Meta’s AI team faces a talent drain, with just three of the 14 authors credited on the landmark 2023 Llama paper still at Meta; several employees joined Mistral — – Meta’s AI team has faced a talent drain as key Llama model creators have exited. — The departures raise concerns about Meta’s ability to retain top AI talent.
Meta’s Llama AI team has been bleeding talent. Many top researchers have joined French AI startup Mistral.
https://www.businessinsider.com/meta-llama-ai-talent-mistral-2025-5
Tomi Engdahl says:
Simon Willison / Simon Willison’s Weblog:
A database tracking instances where lawyers got caught presenting AI hallucinations shows that, of 116 cases dating back to June 2023, 20 occurred this month
AI Hallucination Cases (via) Damien Charlotin maintains this database of cases around the world where a legal decision has been made that confirms hallucinated content from generative AI was presented by a lawyer.
https://simonwillison.net/2025/May/25/ai-hallucination-cases/
Tomi Engdahl says:
Leo Marchandon / Reuters:
Capgemini says it is partnering with SAP to deploy custom Mistral AI tools for industries with stringent data requirements, such as aerospace and defense
Capgemini and SAP partner with Mistral to deploy AI for sensitive sectors
https://www.reuters.com/business/capgemini-sap-partner-with-mistral-deploy-ai-sensitive-sectors-2025-05-26/
Tomi Engdahl says:
Google:
Gemini 2.5 Pro: Our most intelligent AI model — Gemini 2.5 Pro is now available, with thinking capabilities, enhanced performance, and improved accuracy. Try it at no cost in the Gemini app.
https://gemini.google.com/?utm_source=techmeme&utm_medium=paid&utm_campaign=paid_aitl_q2_25pro_hp&dclid=CJWbzfSbw40DFVjhOwIdUHAauQ&gad_source=7
Tomi Engdahl says:
Belle Lin / Wall Street Journal:
CB Insights: VC investment in voice AI startups rose from $315M in 2022 to $2.1B in 2024, driven by growing business adoption of voice AI agents in call centers
AI Voice Agents Are Ready to Take Your Call
Improvements in the technology behind voice-based AI bots are making them more prolific and humanlike in phone calls
https://www.wsj.com/articles/ai-voice-agents-are-ready-to-take-your-call-a62cf03b?st=SEassq&reflink=desktopwebshare_permalink
A new generation of customer-service voice bots is here, spurred by advances in artificial intelligence and a flood of cash.
Automated voice programs are being upgraded from old-school systems with little or no AI to newer speech-to-text and text-to-speech models combined with large language models.
If the technology lives up to its promise, the shift might improve the customer experience at a range of companies and reduce their costs in the process. But there are questions, too, about consumers’ comfort level with the technology and how best to keep the AI from spitting out false information.
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Insurance marketplace eHealth uses AI voice agents to handle its initial screening for potential customers when its human staff can’t keep up with call volume, as well as after hours.
Tomi Engdahl says:
Bloomberg:
A look at the UAE’s Mohamed bin Zayed University of AI, which aims to supply talent to Emirati companies, incubate startups, and serve as the UAE’s AI R&D arm
UAE’s AI University Aims to Become Stanford of the Gulf
https://www.bloomberg.com/news/articles/2025-05-23/uae-s-ai-university-aims-to-become-stanford-of-the-gulf
Mohamed bin Zayed University of AI is focused on building an engineering pipeline, incubating homegrown startups, and hypercharging the region’s AI development
Tomi Engdahl says:
this is a huge problem for cybersecurity…
https://www.youtube.com/watch?v=xy-u1evNmVo
AI generated bug reports are becoming a serious problem? Is this incompetence? Or malicious?
Tomi Engdahl says:
Financial Times:
European industrial groups Schneider, Siemens, ABB, and Legrand collectively added €151B in market value due to AI demand after ChatGPT’s November 2022 launch — Electrical equipment makers including ABB and Legrand are surging thanks to a pivot to data centre infrastructure
AI boom adds €150bn to value of four of Europe’s oldest industrial groups
https://www.ft.com/content/c0f318d5-7daa-449f-9a53-d37c57029489
Tomi Engdahl says:
Heather Somerville / Wall Street Journal:
Documents: self-driving truck startup TuSimple transferred critical autonomous driving tech and data to Chinese partners despite a 2022 agreement with CFIUS — TuSimple shared with Beijing a best-in-class autonomous driving system—and became a prime example of Washington’s shortcomings in keeping critical technology in the U.S
The Self-Driving Truck Startup That Siphoned Trade Secrets to Chinese Companies
TuSimple shared with Beijing best-in-class autonomous driving system—and became example of Washington’s shortcomings in keeping critical technology in U.S.
https://www.wsj.com/tech/china-self-driving-trucks-tusimple-c20255e1?st=B3FbkH&reflink=desktopwebshare_permalink
Tomi Engdahl says:
The Root of AI Hallucinations: Physics Theory Digs Into the ‘Attention’ Flaw
Physicist Neil Johnson explores how fundamental laws of nature could explain why AI sometimes fails—and what to do about it.
https://www.securityweek.com/the-root-of-ai-hallucinations-physics-theory-digs-into-the-attention-flaw/
Tomi Engdahl says:
No-one really understands how AI works or when and why it doesn’t. But the application of first-principle physics theory to the working of AI’s Attention mechanism is providing new insights.
Tomi Engdahl says:
My Experience Using Windsurf Editor: The Pros, Cons & Learning Curve
https://medium.com/version-1/my-experience-using-windsurf-editor-the-pros-cons-learning-curve-4da74e1dc0b2
Tomi Engdahl says:
Ryan Browne / CNBC:
Getty Images CEO Craig Peters says Getty is spending “millions and millions” on its Stability AI lawsuit in the UK and the US, accusing it of copying 12M images
Getty Images spending millions to battle a ‘world of rhetoric’ in AI suit, CEO says
https://www.cnbc.com/2025/05/28/getty-ceo-stability-ai-lawsuit-doesnt-cover-industry-mass-theft.html
Getty Images is spending “millions and millions of dollars” on its legal case against Stability AI, the photo licensing company’s CEO Craig Peters told CNBC.
Getty is suing Stability AI, which is behind popular text-to-image model Stable Diffusion, in both the U.K. and U.S. over allegations that it copied 12 million images without permission or compensation.
Stability AI has contested the legal action, saying it doesn’t consider Getty’s claims to have merit.
Tomi Engdahl says:
Financial Times:
Sources: Nvidia suppliers Foxconn, Inventec, Dell, and Wistron made breakthroughs to resolve issues from 2024 that delayed Blackwell AI server “rack” shipments
Nvidia’s suppliers resolve AI rack issues in boost to sales
https://www.ft.com/content/26ad4a47-aefd-4a96-9605-275027f83b53
Tomi Engdahl says:
Saritha Rai / Bloomberg:
A look at Sea-Lion, a $52M Singapore government-backed AI initiative developing LLMs attuned to the societal and cultural nuances of the Southeast Asian region
https://www.bloomberg.com/news/newsletters/2025-05-27/singapore-s-ai-push-charts-path-toward-localized-models
Tomi Engdahl says:
Nathan Vifflin / Reuters:
TSMC plans to open a design center in Munich in Q3 2025 to support European customers in designing chips for automotive, industrial, AI, and IoT applications — Taiwan Semiconductor Manufacturing Co (2330.TW), the world’s largest contract chipmaker, said on Tuesday it will open a design centre in Munich …
TSMC to open chip design centre in Munich, could later support AI development
https://www.reuters.com/business/autos-transportation/tsmc-will-open-european-chip-design-centre-munich-germany-2025-05-27/
Tomi Engdahl says:
Ina Fried / Axios:
Memo: Meta reorganizes its AI teams into an AI products team and AGI Foundations; FAIR remains separate, but one multimedia team is moving to AGI Foundations — Meta is restructuring its AI teams to speed up the rollout of new products and features, Axios has learned.
https://www.axios.com/2025/05/27/meta-ai-restructure-2025-agi-llama
Tomi Engdahl says:
Simon Willison / Simon Willison’s Weblog:
Mistral launches an API for agents, which can run code, make images, access docs, search the web, and “hand off” to other agents, similar to OpenAI’s offerings — Build AI agents with the Mistral Agents API. Big upgrade to Mistral’s API this morning: they’ve announced a new “Agents API”.
Build AI agents with the Mistral Agents API. Big upgrade to Mistral’s API this morning: they’ve announced a new “Agents API”. Mistral have been using the term “agents” for a while now.
https://simonwillison.net/2025/May/27/mistral-agents-api/
Tomi Engdahl says:
Cursor vs Windsurf IDE: 6 Reasons I Chose Windsurf
Hostbor
https://hostbor.com › cursor-vs-win…
3 päivää sitten — Windsurf utilizes a range of AI models including GPT-4.1, Claude 3.5/3.7 Sonnet, Gemini models, and DeepSeek models. Each model consumes a …
https://hostbor.com/cursor-vs-windsurf-ide-6-reasons/
After using Cursor for quite some time, I’ve recently moved to Windsurf IDE, and the difference has been remarkable.
What is Cursor IDE?
Cursor is an AI-powered code editor developed by Anysphere that integrates large language models directly into your coding environment.
It features an “Agent Mode” that aims to handle complex coding tasks from understanding requirements to implementing changes across multiple files.
I initially chose Cursor because of its sleek interface and powerful AI capabilities powered by models like GPT-4 and Claude.
What is Windsurf IDE?
Windsurf IDE (formerly known as Codeium) is also a VS Code fork designed to create a seamless “flow state” for developers.
Its central AI component is an agent named “Cascade,” built on the philosophy of “Flows = Agents + Copilots” that both collaborates interactively and manages complex tasks autonomously.
OpenAI acquired Windsurf in May 2025, which ensures significant future enhancements and deep integration with OpenAI’s model ecosystem.
The Game-Changing Price Restructuring
On April 21, 2025, Windsurf completely overhauled their pricing structure, which was one of the main catalysts for my switch.
The most immediate benefit I noticed was Windsurf’s straightforward pricing structure.
At $15 per month for the Pro plan (versus Cursor’s $20), I’m getting the same package for 25% less.
Even more importantly, Windsurf eliminated their confusing “flow action credits” system.
OpenAI acquired Windsurf in May 2025 for a reported $3 billion.
This major development means Windsurf will receive significant resources and technical advancements from one of the leading AI companies.
Users can expect deeper ChatGPT integrations and potentially even included access to premium models within the subscription.
In my daily use, I’ve found that Windsurf simply remembers more of my project for longer compared to Cursor.
Cursor constantly frustrated me when it would forget parts of my codebase it had just examined or suggestions it had recently made.
Windsurf’s approach to AI memory seems less aggressive in optimization, which means fewer mistakes and more contextually relevant suggestions.
Tomi Engdahl says:
Kyle Wiggers / TechCrunch:
Anthropic is rolling out voice mode in beta for its Claude mobile apps, available in English; free users can expect 20-30 voice messages before hitting a limit — Anthropic has begun to roll out a “voice mode” for its Claude chatbot apps. — The voice mode allows Claude mobile app users to have …
Anthropic launches a voice mode for Claude
https://techcrunch.com/2025/05/27/anthropic-launches-a-voice-mode-for-claude/
Tomi Engdahl says:
Entry-level hiring has now collapsed, and the ruthless advance of AI is at least partly to blame, a new report says.
#AI #job #tech
Learn more: https://cnews.link/tech-jobs-ai-college-graduates/
Tomi Engdahl says:
As chatbot use becomes ever more widespread, what began as a trickle of issues has evolved into a profound challenge for universities. If vast numbers of students are using chatbots to write, research, code and think for them, what is the purpose of a traditional education?
Read more: https://www.thetimes.com/uk/technology-uk/article/an-existential-crisis-can-universities-survive-chatgpt-7r38r72sv?utm_medium=Social&utm_source=Facebook#Echobox=1748169935
Tomi Engdahl says:
Chatbots depend entirely on research previously done by humans as their database. They are search engines on steroids. There will come a time in which that information becomes obsolete, so if no new research is done, chatbots will be useless.
Tomi Engdahl says:
If people’s papers read like they were written by a 1960s advertising exec, then it’s probably written by ChatGPT.
Tomi Engdahl says:
With little friction, anyone can use Google’s new AI shopping feature to create what are essentially erotic images of celebrities and strangers, write Lila Shroff and Matteo Wong. https://theatln.tc/JOONt3En
Tomi Engdahl says:
Rebecca Szkutak / TechCrunch:
Hugging Face unveils two open-source humanoid robots, the $3,000 full-sized HopeJR and a $250-$300 Reachy Mini desktop unit, expected to ship by the end of 2025
Hugging Face unveils two new humanoid robots
https://techcrunch.com/2025/05/29/hugging-face-unveils-two-new-humanoid-robots/
AI dev platform Hugging Face continued its push into robotics on Thursday with the release of two new humanoid robots.
The company announced a pair of open source robots, HopeJR and Reachy Mini. HopeJR is a full-size humanoid robot that has 66 actuated degrees of freedom, or 66 independent movements, including the ability to walk and move its arms. Reachy Mini is a desktop unit that can move its head, talk, listen, and be used to test AI apps.