Here are some of the the major AI trends shaping 2026 — based on current expert forecasts, industry reports, and recent developments in technology. The material is analyzed using AI tools and final version hand-edited to this blog text:
1. Generative AI Continues to Mature
Generative AI (text, image, video, code) will become more advanced and mainstream, with notable growth in:
* Generative video creation
* Gaming and entertainment content generation
* Advanced synthetic data for simulations and analytics
This trend will bring new creative possibilities — and intensify debates around authenticity and copyright.
2. AI Agents Move From Tools to Autonomous Workers
Rather than just answering questions or generating content, AI systems will increasingly act autonomously, performing complex, multi-step workflows and interacting with apps and processes on behalf of users — a shift sometimes called agentic AI. These agents will become part of enterprise operations, not just assistant features.
3. Smaller, Efficient & Domain-Specific Models
Instead of “bigger is always better,” specialized AI models tailored to specific industries (healthcare, finance, legal, telecom, manufacturing) will start to dominate in many enterprise applications. These models are more accurate, legally compliant, and cost-efficient than general models.
4. AI Embedded Everywhere
AI won’t be an add-on feature — it will be built into everyday software and devices:
* Office apps with intelligent drafting, summarization, and task insights
* Operating systems with native AI
* Edge devices processing AI tasks locally
This makes AI pervasive in both work and consumer contexts.
5. AI Infrastructure Evolves: Inference & Efficiency Focus
More investment is going into inference infrastructure — the real-time decision-making step where models run in production — thereby optimizing costs, latency, and scalability. Enterprises are also consolidating AI stacks for better governance and compliance.
6. AI in Healthcare, Research, and Sustainability
AI is spreading beyond diagnostics into treatment planning, global health access, environmental modeling, and scientific discovery. These applications could help address personnel shortages and speed up research breakthroughs.
7. Security, Ethics & Governance Become Critical
With AI handling more sensitive tasks, organizations will prioritize:
* Ethical use frameworks
* Governance policies
* AI risk management
This trend reflects broader concerns about trust, compliance, and responsible deployment.
8. Multimodal AI Goes Mainstream
AI systems that understand and generate across text, images, audio, and video will grow rapidly, enabling richer interactions and more powerful applications in search, creative work, and interfaces.
9. On-Device and Edge AI Growth
10. New Roles: AI Manager & Human-Agent Collaboration
Instead of replacing humans, AI will shift job roles:
* People will manage, supervise, and orchestrate AI agents
* Human expertise will focus on strategy, oversight, and creative judgment
This human-in-the-loop model becomes the norm.
Sources:
[1]: https://www.brilworks.com/blog/ai-trends-2026/?utm_source=chatgpt.com “7 AI Trends to Look for in 2026″
[2]: https://www.forbes.com/sites/bernardmarr/2025/10/13/10-generative-ai-trends-in-2026-that-will-transform-work-and-life/?utm_source=chatgpt.com “10 Generative AI Trends In 2026 That Will Transform Work And Life”
[3]: https://millipixels.com/blog/ai-trends-2026?utm_source=chatgpt.com “AI Trends 2026: The Key Enterprise Shifts You Must Know | Millipixels”
[4]: https://www.digitalregenesys.com/blog/top-10-ai-trends-for-2026?utm_source=chatgpt.com “Digital Regenesys | Top 10 AI Trends for 2026″
[5]: https://www.n-ix.com/ai-trends/?utm_source=chatgpt.com “7 AI trends to watch in 2026 – N-iX”
[6]: https://news.microsoft.com/source/asia/2025/12/11/microsoft-unveils-7-ai-trends-for-2026/?utm_source=chatgpt.com “Microsoft unveils 7 AI trends for 2026 – Source Asia”
[7]: https://www.risingtrends.co/blog/generative-ai-trends-2026?utm_source=chatgpt.com “7 Generative AI Trends to Watch In 2026″
[8]: https://www.fool.com/investing/2025/12/24/artificial-intelligence-ai-trends-to-watch-in-2026/?utm_source=chatgpt.com “3 Artificial Intelligence (AI) Trends to Watch in 2026 and How to Invest in Them | The Motley Fool”
[9]: https://www.reddit.com//r/AI_Agents/comments/1q3ka8o/i_read_google_clouds_ai_agent_trends_2026_report/?utm_source=chatgpt.com “I read Google Cloud’s “AI Agent Trends 2026” report, here are 10 takeaways that actually matter”
2,513 Comments
Tomi Engdahl says:
New York Times:
People Inc., a major food content creator, is ramping up social media video production that emphasizes human-made recipes and testing to stand out from AI slop
https://www.nytimes.com/2026/06/20/business/media/people-inc-ai-test-kitchen.html?unlocked_article_code=1.r1A.0WET.ZU9DmJ9q1MWv&smid=url-share
Tomi Engdahl says:
Cristian Dina / The Next Web:
San Diego-based Aether AI, which is building “causal world models” to teach robots cause and effect instead of pattern-matching, raised a $20M seed led by MPCi — Aether AI, founded by UC San Diego causality researcher Biwei Huang, has raised a $20mn seed round to build “causal world models” for robots.
https://thenextweb.com/news/aether-ai-causal-world-models-20m-seed-physical-ai
Tomi Engdahl says:
Dana Goldstein / New York Times:
A look at “humanizer” and “autotyper” apps that help students evade AI-detection software by slowly auto-typing essays and making AI text sound less robotic
Student Cheating Is Becoming Impossible to Detect in an A.I. Era
https://www.nytimes.com/2026/06/18/us/ai-apps-students-cheat.html?unlocked_article_code=1.rFA.SfOz.Q-duIR96SdO7&smid=bs-share
Big tech companies and small start-ups are using social media to hype new tools that allow students to trick teachers and A.I. detectors.
The videos are all over social media, making students an irresistible offer: Go ahead and let A.I. do your homework — with the latest technology, you won’t get caught.
If you hate writing, you can avoid it.
Even established ed-tech companies are marketing with a wink and a nod.
These kinds of tutorials are now pervasive on TikTok and YouTube. They show students how to use tools known as humanizers and autotypers, which make it easier than ever to cheat. The videos — sometimes labeled ads, sometimes not — target college and high school students.
Humanizers rewrite A.I.-produced text to make it sound less robotic, formulaic and trite.
Autotypers slowly drip words and sentences into documents, making it appear as if papers were typed at a human pace when in fact, they were produced by A.I. They even fabricate typos, deletions and revisions.
Both tools can help students evade software designed to detect A.I.
Colleges and K-12 schools are trying to keep up, with A.I. detection becoming a significant expense. But educators attempting to restrict the technology, worried about students failing to develop basic skills, are often lagging in what tech-industry leaders are calling a detection arms race.
In some cases, the very same companies selling detection tools are also making apps that allow students to cheat, including by writing papers for them or rephrasing text written by others. The apps promise to help them avoid accusations of misconduct by scanning their work before they submit it, allowing them to rewrite passages identified as A.I. Even honest students are often willing to fork over $10 to $20 per month for premium tools, since A.I. detectors sometimes flag legitimate work.
Jenny Maxwell, head of education at Superhuman, the A.I. company that makes Grammarly, called the race between detection and evasion “ultimately, a dead end.”
“Bigger cat, bigger mouse,” she said.
Instead, she urged educators to accept that most future writing would be produced in a partnership between artificial intelligence and human discernment.
“Believable typos”
Even before A.I. chatbots, the internet had made cheating easier, in part through the simple mechanism of copy-and-paste plagiarism.
Now, the landscape is more complex. About two-thirds of American students are using A.I. regularly for schoolwork, according to recent surveys. While only a small slice — about 9 percent — admitted to outright cheating in one large study, much A.I. use lies in an ethical gray area.
A recent College Board survey of professors found three-quarters reported their students were using A.I. to write, and over 90 percent of respondents were concerned about plagiarism and dishonesty. Many institutions have seen a sharp increase in student disciplinary cases for academic misconduct, much of it related to the use of A.I.
OpenAI’s ChatGPT and Google’s Gemini are the most popular A.I. tools among students.
Some start-ups explicitly teach students how to cheat.
Meanwhile, established companies often urge students to use their tools responsibly as aids for studying, research, brainstorming, outlining and revision. But many of them are simultaneously producing technology that can easily be used to plagiarize and cheat. They put out tongue-in-cheek ads alluding to their ability to help students get away with something.
Smaller companies are sometimes more direct.
Autotypers are a response to the fact that many teachers and professors now check a document’s version history for signs of A.I. use. If 1,000 words suddenly appeared in a Word or Google document at 11:59 p.m., it could mean the student pasted in text produced by a chatbot.
GrubbyAI and its many competitors are finding ways around those systems.
Dripwriter’s website says the app provides “believable typos and fixes” along with “background auto typing so your essay keeps working when you step away.”
Duey.ai, an app that describes itself as the “#1 autotyper for Google docs,” tells customers that when they’re too tired or busy to focus, or out with friends, “The document looks like you wrote it.”
It is a crowded market, in which upstarts constantly pop up.
Tools that “do everything”
Some professors are increasingly concerned about Grammarly, an app that has existed for 17 years as a sort of muscular spell-check. It now offers an “authorship” tool that helps professors screen for A.I. misconduct, by analyzing a document’s version history.
At the same time, the app allows students to generate writing from scratch, humanize text, and scan and replace phrases that could set off A.I. detectors.
Grammarly also provides a paraphraser that instantly rewrites any published text a student copies and pastes into a browser tab, which could be considered a form of plagiarism.
Grammarly advises students to use text-generation features “responsibly,” by citing each instance where A.I. was used in a paper. But the company also puts out ads that suggest students can use the app to pass off A.I.-produced writing as their own: “Detect A.I. text — it’s 2026, after all,” says one TikTok post. “Spot A.I. phrasing and choose edits that feel true to you.”
cheating has always existed but represents only a small segment — she estimated 10 percent — of student A.I. use.
“I can’t solve the human behavior issue that is cheating or pushing the easy button,” she said. “It is out of our realm.”
Still, frustrated educators say A.I. is short-circuiting student thinking. Several studies have shown that people who rely on A.I. can experience cognitive offloading, a process in which they fail to build new skills, or their existing skills degrade.
George Cusack, director of A.I. academic initiatives at Carleton College, noted that Grammarly is sold to students as a benign helper when, in fact, “it’s a suite of tools that will do everything for you. It’s kind of shocking.”
He added, “I find the apps explicitly marketed as cheating less problematic than the ones marketed as ‘help.’”
Some A.I. companies pitch themselves as protectors of academic integrity.
“I want to show you what this professor’s been hiding from students,” he says, as he walks viewers through the interface of GPTZero’s browser extension. The tool analyzes a document’s version history, detects A.I. and can provide writing feedback. Once downloaded, however, users will find that it can also generate a full academic paper in mere moments, complete with quotes and citations.
“If you grade your paper this way before you submit it, you’ll probably get a good grade on your paper,” the influencer says.
Ms. Ng said A.I. use is ubiquitous at Harvard, but she had also noticed backlash against young influencers who promote A.I.
“There is a level of shame” about using the technology, she said in an interview.
She also said her impression was that outright A.I. cheating was rare at Harvard, in part because professors have responded to chatbots by more heavily weighting oral and pen-and-paper exams in final grades.
Superhuman is developing software that will allow professors to limit and observe students’ uses of A.I. in research and writing, Ms. Maxwell said. Withholding A.I. entirely, she argued, was akin to educational malpractice, since students will be expected to use A.I. in the workplace.
“We’re doing a huge pedagogical upheaval in education,” she said, calling it a “burn it down moment. We’re just in the early stages.”
Tomi Engdahl says:
Clara Murray / Financial Times:
Analysis: Anthropic may have talked itself into an export ban, as its 2026 official statements and posts used AI risk-related terms 8x more often than OpenAI — FT analysis shows company warned about dangers of advanced AI far more than rival OpenAI this year
https://www.ft.com/content/16ace46c-aeac-40c9-8598-3c01fa4481cb?syn-25a6b1a6=1
Tomi Engdahl says:
Ryan McMorrow / Financial Times:
Bain says it is using AI coding tools to recreate pieces of target companies’ software, making hundreds of rough prototypes in recent years as due diligence — Private equity groups swiftly recreate software products to gauge their competitive advantages
https://www.ft.com/content/e5bac4d1-b1f8-43a4-bd54-b182d5357af0
Tomi Engdahl says:
Wall Street Journal:
Satya Nadella says the public wouldn’t tolerate a few AI labs “doing all of the learning for the world”, as Microsoft moves to provide low-cost models and tools
Microsoft’s Satya Nadella: We Can’t Let AI Giants Eat the Economy
In interview, Microsoft’s CEO offers a blistering critique of AI power balance and calls for earning society’s permission
https://www.wsj.com/tech/ai/microsofts-satya-nadella-we-cant-let-ai-giants-eat-the-economy-b9d33b9f?st=qw6QXi
Satya Nadella helped usher in the AI boom. Now he has a tough message for the companies leading it.
Tomi Engdahl says:
Mark Bergen / Bloomberg:
Getty signs a licensing deal with OpenAI, letting its image library appear in ChatGPT’s search and discovery features; GETY jumps 150%+ pre-market — Shares of Getty Images Holdings Inc. jumped about 200% in premarket trading on Monday after the photography repository announced a licensing deal with OpenAI.
https://www.bloomberg.com/news/articles/2026-06-22/getty-images-soars-200-in-early-trading-after-openai-deal
Tomi Engdahl says:
Vivian Salama / The Atlantic:
A look at JD Vance’s “AI doctrine”, which combines pro-innovation VC principles, worker protections, and concerns about power concentration in dominant AI labs
J. D. Vance’s AI Doctrine
The vice president is making a case that is part Silicon Valley, part MAGA.
https://www.theatlantic.com/national-security/2026/06/what-does-jd-vance-think-ai/687591/?gift=tIHyeEUg4NM6vyxJ-5M0EE8YbeF5umCn8ewAcQ5ntzU&utm_source=copy-link&utm_medium=social&utm_campaign=share
In early 2025, J. D. Vance paid a visit to Les Invalides, in Paris, where he was invited to clutch the sword of the Marquis de Lafayette, a hero of the American Revolution. In a speech the next day, Vance drew a parallel between that sword and artificial intelligence, calling them both “weapons that are dangerous in the wrong hands but are incredible tools for liberty and prosperity in the right hands.”
Whether the rollout of AI in the U.S. ends up in the right hands will depend to some degree on the vice president himself. Since President Trump returned to office, Vance has taken a prominent role in articulating how the administration should approach the AI revolution. Many Republicans, including Trump, broadly favor a hands-off approach. Vance, in a series of speeches and interviews, has offered a more substantive framework for the interplay among government, AI companies, and workers—with the occasional political barb thrown in.
He, too, has called for avoiding regulations that slow innovation. But he also believes that some forms of power are too important to leave to Big Tech to self-regulate. And he has sought to tackle one question on the minds of many Americans: What will happen to workers?
Vance’s approach reflects the tension between the two main forces that fueled his political rise. Before he ran for Senate, Vance worked in venture capital, and his ascent was backed by Silicon Valley figures such as Peter Thiel and David Sacks—many of the same people who are now in the aggressively anti-regulation, pro-market camp of the GOP. Yet Vance also built his political reputation on his self-described hillbilly upbringing and on giving voice to the frustrations of working-class voters—who feel forgotten by Washington, view both government and big companies with suspicion, and fear that AI is coming for their jobs.
Now Vance is attempting to build a distinctly MAGA vision of AI that rewards innovation and is global in ambition, protective of American workers, skeptical of regulation, and wary of concentrated corporate power. Depending on what you think about AI (and about Vance), that could be viewed as a reasonable middle ground designed to keep some guardrails on AI’s development and to help protect American livelihoods—or viewed as the tap dance of a politician aiming to appease everyone and potentially satisfying no one.
Either way, Vance is in no doubt about the stakes. The day after touching Lafayette’s sword, he told the audience of executives and policy makers gathered for the Artificial Intelligence Summit: “If we choose the wrong approach on other things that could be conceived of as dangerous—things like AI—and choose to hold ourselves back, it will alter not only our GDP or the stock market but the very future of the project that Lafayette and the American founders set off to create.”
Vance often compares workers’ fears about the impact of AI to concerns that followed the introduction of ATMs in the 1970s, when many people predicted that bank tellers would become obsolete. “What actually happens is we have more bank tellers today than we did when the ATM was created, but they’re doing slightly different work,” Vance told the Interesting Times podcast in May 2025. “More productive. They have pretty good wages relative to other folks in the economy. I tend to think that is how this innovation happens.”
I asked the economist James Bessen, who has written extensively about the impact of ATMs, whether that was an apt analogy. “It’s not even the right account of what happened with bank tellers,” he told me. When ATMs were first introduced, the number of tellers in any given bank branch likely fell. That dynamic also made it cheaper to open new branches, which banks raced to do after deregulatory measures in the 1990s allowed them to expand their footprint. More branches meant more tellers, though they were performing different roles. That picture changed again after 2010, as online banking spread. This time, the new technology led to a dramatic reduction in the number of teller jobs.
A more fitting comparison, Bessen told me, is the 19th-century automation of the textiles industry. Automation made cloth cheaper, demand surged, and employment and productivity both grew. But by the mid-20th century, those gains had already been reaped, and as productivity continued to grow and demand plateaued, jobs disappeared. The lesson is that technological progress doesn’t guarantee permanent job creation, as Vance suggests. What is clear, Bessen added, is that people across the workforce will need to acquire new skills if they want to keep working.
Vance disagrees. “I don’t buy the premise,” he told me in an interview last week. “I have not yet seen the evidence that you’re going to see widespread job destruction because of AI.”
Given those stakes, Vance has repeatedly warned against allowing a small number of companies to control the industry. That view sets him apart from many traditional Republicans, who have long been skeptical of antitrust enforcement. Vance sees danger not only in government overregulation but in a handful of dominant firms gaining too much power. The new industrial revolution will be thwarted, he said, “if we allow AI to become dominated by massive players looking to use the tech to censor or control users’ thoughts.”
His interest in corporate restraint goes only so far. The construction of AI data centers is controversial in both parties. Supporters argue that the sprawling facilities are essential to winning the global AI race; detractors warn that they strain power grids, consume enormous amounts of energy and water, and hand even more influence to Big Tech. Vance has mostly sided with the builders.
For all of Vance’s skepticism of regulation, he makes exceptions where national security, human judgment, or democracy are on the line.
In making his case, Vance invoked Pope Leo XIV, whose recent writings on AI have called for stricter ethical constraints on autonomous weapons and warned that some military systems are already moving beyond meaningful human control. Vance has publicly disagreed with the pontiff on other matters, but he embraced those concerns.
AI is rapidly becoming embedded in national-security systems. OpenAI and other major tech firms have scaled up their partnerships with the Department of Defense. Anthropic, which has been put on a national-security blacklist, is an exception. (Trump last week said that talks with Anthropic to resolve the issue were “going fine.”) The company’s relationship with the federal government fractured earlier this year following a fierce dispute over military guardrails, including whether AI systems should be allowed to make autonomous decisions.
Defense Secretary Pete Hegseth has argued that the Pentagon’s AI initiatives should operate “without ideological constraints that limit lawful military applications” and that the military is “building war ready weapons and systems, not chatbots for an Ivy League faculty lounge.” He issued a directive requiring a handful of AI defense contractors to permit the military to use their technologies for all “lawful operational use,” without exceptions.
Vance, who, like Hegseth, is a military veteran, has focused on a different concern: ensuring that even as machines become more capable, human beings retain responsibility for choices that carry moral weight. “Decisions over life and death must be made by humans and not machines,” he said at the Air Force Academy.
The dilemma facing policy makers now is whether the lines that Vance favors will hold—or whether the AI revolution will overwhelm those seeking to guide its development.
Tomi Engdahl says:
Financial Times:
JD.com founder Richard Liu says robots will replace the company’s 700K delivery workers “sooner or later”, and it will help retrain them in robot maintenance — China’s rapid adoption of technology threatens millions of gig-economy jobs, policymakers fear
https://www.ft.com/content/465635e2-633b-4311-afe5-9b3bff8c9240
Tomi Engdahl says:
Suzi Ring / Financial Times:
UK-based AI law firm Garfield, which received regulatory approval in 2025, wins a case in the English courts for the first time; the case focused on unpaid fees — Freelancer paid about £400 for technology to draft documents for £7,000 claim — An AI law firm that uses technology instead …
https://www.ft.com/content/b4f8f589-6771-4df5-ac4d-cb15d94991fb
Tomi Engdahl says:
Why Europe is ‘freaking out’ over AI
Europe desperately needs to develop a ChatGPT or Claude of its own. Otherwise, it could be subject to the whims of the White House, writes Siobhan Kennedy.
https://channel4news.substack.com/p/why-europe-is-freaking-out-over-ai?fbclid=IwdGRjcASmJgJjbGNrBKYl1GV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHvtojRx1uMvNmEa4HCM5c3m6mUSXNcu40Bjp6RRKBj2GNXqokwxkkrBdcNaw_aem_AZTqHxySPsjc7hKFk2ingg&utm_id=97758_v0_s00_e233_tv2_tp2_a1demo0b1mmuvu
Trump’s Anthropic ban
Relations with the US are at a record low. Then last Friday night, Trump lobbed an AI-shaped hand grenade into the mix. Out of nowhere, the White House imposed sweeping export controls on Anthropic after being convinced – apparently by Amazon – that its two flagship AI models, Fable 5 and Mythos 5, had vulnerabilities that could be exploited by US adversaries and therefore posed national security risks.
The order forbade Anthropic from selling its AI tools to any foreign country inside or outside America. It gave the company just 90 minutes to comply, meaning they had to immediately suspend access to the software from non-US customers and even stop their own foreign national employees from working on the models.
A wake-up call for Europe
It’s hard to know whether it was just a vindictive move by the White House. Remember, the US Department of War is already embroiled in a legal battle with Anthropic over the use of its AI in warfare. Or was it genuine fear that the AI beast was truly spiralling out of control?
Either way, it was definitely a wake-up call for Europe.
A Europe that has been talking very loudly about AI sovereignty and the need to sever its dependency on American tech had been handed exactly what it wished for. And it didn’t like it one bit.
So, the lunch with America and the AI bosses suddenly had another urgent item added to the agenda: the creation of a “trusted partners” scheme to ensure America’s leading AI models are shared with Europeans! Wait, the same Europeans determined to forge their own digital future? Now in a tizz because they fear the US is weaponising AI tech against them?
Ahead of the meeting, President of the European Commission, Ursula von der Leyen, argued it was in the mutual interest of the US and EU for Europeans to be able to access the best AI models, while President Macron of France pushed for broader access and warned that allies may lose trust in US technology if access can be switched off unilaterally.
As for the AI firms, it goes without saying they want to be free to sell their technology to everyone.
‘The biggest thing ever’
In one of his more meandering press conferences before leaving the G7, US President Donald Trump eventually got to the list of agreements supposedly struck between the world leaders – but a deal to share US AI models was not among them.
He simply stated of AI: “It’s going to be the biggest thing ever. It’s both great and it could be bad.” But there were zero reassurances he would work with the Europeans on AI development or regulation.
underscore just how desperately Europe needs to develop a ChatGPT or a Claude of its own.
An AI champion in Europe?
Right now, the most advanced is probably Mistral, in France, who of course got the lunch invite too. In the UK, there are plenty of smaller AI start-ups that are going great guns, but – as ever – need the level of funding enjoyed by their American counterparts to really supercharge their growth and put them on the map.
what sounds absurd one day with this administration can quickly become reality the next.
Tomi Engdahl says:
There is nothing to stop the US Administration from pulling any of the levers on big tech presently supplied to Europe, only for the fact that the tech companies would lose billions in revenue!!
I read that Ukraine is already developing their LLM model – https://digitalstate.gov.ua/news/govtech/start-rozrobky-ukrayinskoyi-llm-partnerstvo-mintsyfry-ta-kyyivstaru
Tomi Engdahl says:
It does have an LLM that is on the league tables, but it is toward the lower end. Mistral’s recently rebranded Vibe. Invest in that and data centre capacity within Europe and market it. You’ve got a competitor. Or, increase investment for other LLM/AI incubation.
Tomi Engdahl says:
How to Protect Your Team’s Cognitive Skills while Using AI
https://www.nbforum.com/newsroom/blog/how-to-protect-your-teams-cognitive-skills-while-using-ai/?utm_campaign=Content%20-%20Summer%202026&utm_source=facebook&utm_medium=paid&hsa_acc=61165519&hsa_cam=52565891536693&hsa_grp=52565891536893&hsa_ad=52565926135693&hsa_src=fb&hsa_net=facebook&hsa_ver=3&fbclid=IwdGRjcASmK75leHRuA2FlbQEwAGFkaWQAAC_O_xpxZXNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHi9eG1ab311ChKfgFFxyCyr98UXbY0fikccyzer-TbnLgRF9vuetQC1NG1vw_aem_IWb5iL_SEb2JBmb4g5JKUQ&utm_id=52565891536693&utm_content=52565926135693&utm_term=52565891536893
As the conversation around AI evolves, the fear of AI replacing our jobs is starting to fade. Another relevant question is starting to emerge: will AI replace our thinking? If we delegate our brainpower to AI, will we end up becoming less intelligent?
Tomi Engdahl says:
https://www.facebook.com/share/17tVg3io3o/
Sweeping job losses from AI could spark a wave of withdrawals from the stock market and make government checks a necessity, Carson Block said.
#UBI #jobloss #layoffs #futureofwork
Why AI job losses could tank stocks, make basic income a reality: Carson Block : https://mrf.lu/4BcN
Tomi Engdahl says:
Sweeping job losses from AI could trigger a domino effect that tanks the stock market and makes universal basic income a reality, Carson Block says.
The Muddy Waters Capital founder and CEO, known for publishing bombshell reports and taking public short positions, issued the bold pronouncement during an episode of the “Merryn Talks Money” podcast released on Monday.
Block said it’s “entirely conceivable” that within the next few years, the US could see “roughly 15% of knowledge workers displaced from their jobs.”
https://www.businessinsider.com/ai-job-losses-unemployment-stock-market-outlook-ubi-carson-block-2026-6?fbclid=IwdGRjcASmMyljbGNrBKYzEmV4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHpSuOdVlWHK0JsJa7twh61gh8W5kXGL8VduK-J0TkhxCfq-5_382VM73RwhI_aem_vX1ZCqO1-sFCmexY8tdtHw&utm_campaign=mrf-insider-marfeel-headline-graphic&utm_source=facebook&utm_medium=social&mrfcid=202606226a394acd9d47ca023e7e223c
Tomi Engdahl says:
Famed economist Claudia Sahm outlines a job-market scenario more dire than the white-collar meltdown that’s been going viral
https://www.businessinsider.com/job-market-ai-taking-jobs-white-collar-recession-claudia-sahm-2026-2?fbclid=IwVERDUASmM0NleHRuA2FlbQIxMABzcnRjBmFwcF9pZAwzNTA2ODU1MzE3MjgAAR4lcbI2LV0ILz0tLn98UafU9Bq7VlI6r-zs3qzDRfaCvEq3_x3L0Ldju34uAw_aem_VERi8bBlhpIXaMaZT7OHlQ
Tomi Engdahl says:
https://www.facebook.com/share/p/198rWHwEXE/
The next generation of AI models are meant to be trained by people paid to have conversations with them, but several of these workers have admitted to New Scientist that they simply get chatbots to do it instead.
Read here: https://www.newscientist.com/article/2531050-people-training-new-ai-models-admit-they-just-get-chatbots-to-do-it/
Tomi Engdahl says:
https://www.businessinsider.com/meta-ai-training-data-leak-exposed-employee-activity-across-company-2026-6?fbclid=IwdGRjcASmf7pjbGNrBKZ_s2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHqhrWQioepxY0KOEDpWL4TNsdIhb3SKjjEoM0101SLBwzGuGouzm98KRXYVE_aem_ZiDBvbhdJAV7iYCvIfhCqA&utm_campaign=mrf-insider-marfeel-headline-graphic&utm_source=facebook&utm_medium=social&mrfcid=202606226a399c0fb5129c43bc3ff882
Tomi Engdahl says:
“We now have to do the hard work in earning the social permission.” https://trib.al/w2Ve5pf
Tomi Engdahl says:
Voiko tekoäly löytää IT-häiriöiden syyt?
https://etn.fi/index.php/13-news/19089-voiko-tekoaely-loeytaeae-it-haeirioeiden-syyt
- Olennaista ei ole yksittäinen dramaattinen häiriö. Ongelmat rakentuvat usein hiljalleen eri puolille IT-ympäristöä. Näin kuvailee Kyndryl Nordicsin konsultointi- ja ratkaisuliiketoiminnasta vastaava Charlotte Berg yhtiön näkemystä IT-operaatioiden seuraavasta kehitysaskeleesta. Kyndrylin mukaan tekoäly voi auttaa tunnistamaan ongelmien todelliset syyt ja estämään käyttökatkokset ennen kuin ne ehtivät vaikuttaa liiketoimintaan.
Kyndryl on tuonut Bridge-alustalleen uuden tekoälyominaisuuden, jonka tavoitteena on siirtää IT-operaatioita häiriöiden korjaamisesta niiden ehkäisyyn. Ratkaisu analysoi sovelluksista, infrastruktuurista ja päivittäisestä IT-toiminnasta kerättävää dataa ja etsii tapahtumien välisiä syy-seuraussuhteita.
Bergin mukaan monet nykyiset observability- ja AIOps-ratkaisut tunnistavat tehokkaasti samanaikaisesti esiintyviä tapahtumia, mutta niiden perusteella ei aina pystytä selvittämään, mikä todella aiheuttaa ongelman. Kyndryl pyrkii tunnistamaan tapahtumaketjuja, joissa esimerkiksi konfiguraatiomuutos, resurssipula tai sovelluksen hidastuminen johtaa myöhemmin laajempaan häiriöön.
– Monet alustat osaavat näyttää samanaikaisesti tapahtuvia signaaleja. Haasteena on selvittää, mikä todella aiheuttaa ongelman. Pyrimme tunnistamaan tapahtumien väliset syy-seuraussuhteet, jotta IT-tiimit ymmärtävät, mistä ongelma johtuu ja miten se voi kehittyä, Berg sanoo.
Tomi Engdahl says:
Financial Times:
OpenAI debuts at Cannes Lions, pitching its new ChatGPT ad business and Codex to marketers, as it tries to build a multibillion-dollar business ahead of an IPO
https://www.ft.com/content/9717a042-fd09-4d08-972d-29b68f7985a4
Tomi Engdahl says:
Gaby Del Valle / The Verge:
Real estate professionals are increasingly using AI-powered virtual staging tools like Stuccco and BoxBrownie to create misleading house and apartment listings
AI is cursing renters with the promise of impossible homes
https://www.theverge.com/report/953888/ai-virtual-staging-real-estate-apartment-listings
“Virtual staging” might be able to cram a six-seater dining table into a studio apartment, but tenants can’t.
Tomi Engdahl says:
Bloomberg:
Sources: Qualcomm is in advanced talks to acquire Modular in a transaction valuing the AI chip startup at ~$4B, up from a $1.6B valuation in September 2025
https://www.bloomberg.com/news/articles/2026-06-22/qualcomm-is-said-to-near-deal-for-ai-chip-startup-modular
Tomi Engdahl says:
Brody Ford / Bloomberg:
Filing: Oracle’s global workforce fell by 21,000 employees in the past 12 months to 141,000 as of May 31; the company says AI adoption has led to reductions
https://www.bloomberg.com/news/articles/2026-06-22/oracle-layoffs-fueled-by-ai-reduces-workforce-by-21-000
Tomi Engdahl says:
Lily Hay Newman / Wired:
OpenAI unveils an updated GPT-5.5-Cyber model, launches the Patch the Planet initiative in partnership with Trail of Bits to fix open source bugs, and more — Amid concerns about AI models’ cybersecurity capabilities, OpenAI revealed an improved version of GPT-5.5-Cyber and its “Patch the Planet”
OpenAI Launches Full-Scale Effort to Patch Open-Source Bugs as It Takes on Anthropic’s Mythos
Amid concerns about AI models’ cybersecurity capabilities, OpenAI revealed an improved version of GPT-5.5-Cyber and its “Patch the Planet” initiative to fix open-source software bugs.
https://www.wired.com/story/openai-launches-full-scale-effort-to-patch-open-source-bugs-as-it-takes-on-anthropics-mythos/
Tomi Engdahl says:
Carl Franzen / VentureBeat:
Sakana AI launches Fugu, a multi-agent orchestration system accessible through a single model API, claiming Fugu Ultra matches Fable and Mythos on benchmarks — Last night, the increasingly enterprise-focused AI startup Sakana launched Fugu, a multi-agent orchestration system …
No Claude Fable 5? No problem: Sakana achieves frontier performance with new Fugu multi-model, auto synthesis system
https://venturebeat.com/orchestration/no-claude-fable-5-no-problem-sakana-achieves-frontier-performance-with-new-fugu-multi-model-auto-synthesis-system
Last night, the increasingly enterprise-focused AI startup Sakana launched Fugu, a multi-agent orchestration system that delivers frontier-level AI performance through a single, OpenAI-compatible API.
Designed for developers, enterprises, and nations seeking resilience against vendor lock-in and geopolitical export controls, Fugu (Japanese for “pufferfish”), bypasses the traditional monolithic model structure by dynamically routing queries to a swappable pool of specialized AI agents.
Sakana CEO and co-founder David Ha, formerly of Google Brain, positioned Fugu as a more reliable option for enterprise workflows than any single AI model provider in the wake of Anthropic’s move on June 12 to revoke public access to its most powerful models, Claude Mythos 5 and Claude Fable 5, in the wake of a U.S. government export control order. As Ha wrote in a post today on X:
“Fugu dynamically orchestrates the world’s best models to tackle complex tasks. We are proving that a well-orchestrated pool of swappable agents can match restricted frontier models like Fable and Mythos.
But Fugu is about more than just performance. I believe that Orchestration Models are the next frontier, beyond bigger models.
Relying on a single company’s model for national infrastructure is a massive risk. As recent export controls have shown, access to top models can disappear overnight.
Collective intelligence is the practical hedge against this concentration of power. Fugu simply routes around vendor restrictions by relying on an entirely swappable agent pool.”
Tomi Engdahl says:
Wired:
Meta says it is pausing its employee input tracking program after internal security issues exposed potentially sensitive data meant to train AI models — Employees had previously raised concerns about the initiative, which involves collecting workers’ keystroke data to train AI models.
Meta Exposed Data Internally From Its Controversial Employee-Tracking Program
Employees had previously raised concerns about the initiative, which involves collecting workers’ keystroke data to train AI models.
https://www.wired.com/story/meta-accidentally-let-employees-access-each-others-keystroke-data/
Tomi Engdahl says:
Sarah Basford Canales / The Guardian:
In a joint statement, Five Eyes agencies warn AI models capable of taking down governments and businesses are mere months away, urging leaders to “act now” — Signal agencies in Australia, the US, the UK, New Zealand and Canada sound alarm after Trump blocks foreign nationals from Anthropic’s Fable AI model
AI (artificial intelligence)
AI models capable of devastating attacks on governments and business months away, rare Five Eyes statement warns
https://www.theguardian.com/technology/2026/jun/22/anthropic-claude-fable-ai-model-artificial-intelligence-national-security
Signal agencies in Australia, the US, the UK, New Zealand and Canada sound alarm after Trump blocks foreign nationals from Anthropic’s Fable AI model
Powerful AI models capable of devastating new cyber attacks on governments and businesses are mere months away, intelligence agencies for the Five Eyes have warned in a rare joint statement, urging leaders to “act now”.
The surprising public intervention by signals agencies for Australia, the US, the UK, New Zealand and Canada comes after the Trump administration earlier this month decided to block “foreign nationals” from using a much-hyped AI model built by tech company Anthropic, called Fable.
The statement, issued late on Monday night, Sydney time, said while AI “would help us improve cyber defence over time, it also accelerates the speed, scale, and sophistication of cyber threats”.
“Frontier AI models are anticipated to exceed current industry expectations, fundamentally transforming both offensive and defensive cyber capabilities. The timeline is not years, it is months,” the warning by Five Eyes agencies said.
“In this environment, cyber resilience is integral to advancing business continuity, market confidence, and long-term value.”
The cybersecurity agencies said the leaps in AI models showed the technology would lower barriers for bad actors and increase the speed and complexity of attacks.
“A whole-of-organisation and whole-of-society response is required,”
“Cyber risk can no longer be treated as a purely technical issue. This is a core business risk and leadership responsibility.”
Generative AI models are powerful new tools capable of looking for vulnerabilities in cyber security systems, and they can help exploit those vulnerabilities as well as repair them.
While no AI models or companies are mentioned in the Five Eyes statement by name, many around the world have their eyes on Anthropic’s advanced tier of tools.
One of the major tech company’s latest inventions is called Fable 5, a supposedly more community-friendly version of Mythos – a powerful AI model released earlier this year capable of detecting vulnerabilities in cyber systems that is only available to vetted organisations and companies because of concerns it could be exploited.
Both of Anthropic’s models were suspended for use by “foreign nationals” in June by the US government, which cited advice by national security authorities.
Shen said much of the world was focused on what happens next for Anthropic but there could be many more powerful AI models not far off.
“I think we have to anticipate that the next Mythos or the next Fable is just around the corner,” Shen said.
Tomi Engdahl says:
Bloomberg:
Alphabet shares close down 5% on Monday following the departure of Google DeepMind VP John Jumper, the company’s second top AI executive to leave in a week
https://www.bloomberg.com/news/articles/2026-06-22/alphabet-shares-drop-after-second-ai-star-departs-for-a-rival
Tomi Engdahl says:
Zsana Hoskins / Bloomberg:
Groq raised $650M led by Disruptive and Infinitum after its Nvidia deal, aiming to hit 200 MW in capacity by the end of 2027, following a $750M raise in 2025
https://www.bloomberg.com/news/articles/2026-06-22/groq-raises-650-million-to-help-startup-pivot-after-nvidia-deal
Tomi Engdahl says:
Ian King / Bloomberg:
Nvidia unveils Halos, a safety-focused OS developed from autonomous vehicle tech and designed to run on IGX Thor hardware for humanoid robots, and opens a lab
https://www.bloomberg.com/news/articles/2026-06-22/nvidia-seeks-to-make-humanoid-ai-robots-safer-around-humans
Tomi Engdahl says:
Lily Mae Lazarus / Fortune:
Upscale, which is building AI networking infrastructure to rival Cisco, raised a $190M Series A-1 at a $2B valuation, up from $1B after raising $200M in January
https://fortune.com/2026/06/22/nvidia-upscale-ai-next-ciscoand-seligman-ventures-premji/
Tomi Engdahl says:
Kimberley Kao / Wall Street Journal:
SK Hynix overtakes Samsung to become South Korea’s most valuable company, closing up 5.6% for a ~$1.4T market cap; South Korea’s Kospi index is up 117% YTD
https://www.wsj.com/tech/sk-hynix-tops-samsung-to-become-south-koreas-most-valuable-company-279419a0?st=xhpVkR&reflink=desktopwebshare_permalink
Tomi Engdahl says:
https://etn.fi/index.php/13-news/19090-voiko-piirin-suunnitella-kokonaan-tekoaelyllae
Tomi Engdahl says:
Ohjelmistoala myllerryksessä: “Kukaan ei tiedä, miten tätä hommaa tehdään viiden vuoden päästä”
https://www.tivi.fi/uutiset/a/cb47afcb-5029-4b30-bcac-99bc07b34e9a
Koodia syntyy tekoälyagenttien avulla entistä nopeammin, mutta kehittäjä kirjoittaa sitä itse yhä vähemmän. Ihmisen rooli painottuu suunnitteluun, valvontaan ja asiakkaan liiketoiminnan ymmärtämiseen.
Tomi Engdahl says:
https://futurism.com/artificial-intelligence/a24-fans-meltdown-google-ai-partnership?fbclid=IwdGRjcASncNNjbGNrBKdwf2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHjRrxn93VNfoTtI8et1-rJvZ_nawHLG67lc40gFN__Nnoflgn6AYcN2F89zn_aem_FYIvPJA6PZwEs8_uO3-NWQ
Tomi Engdahl says:
https://www.anthropic.com/news/claude-corps
Tomi Engdahl says:
Tekoäly löytää asiakkaalle oikean tuotteen jo ennen verkkokauppaan menoa – Asiantuntija kertoo, mitä uusi ilmiö tarkoittaa kauppiaille
https://www.yrittajat.fi/uutiset/tekoaly-loytaa-asiakkaalle-oikean-tuotteen-jo-ennen-verkkokauppaan-menoa-asiantuntija-kertoo-mita-uusi-ilmio-tarkoittaa-kauppiaille/#/?utm_source=fb&utm_medium=paid&utm_campaign=120250107431590325&utm_term=120250107436480325&utm_content=120250107463930325&utm_id=120250107431590325
Niin sanottu keskusteleva ostaminen vähentää orgaanista liikennettä, mutta tarjoaa uusia mahdollisuuksia.
Termi keskusteleva ostaminen on nyt kuuma puheenaihe verkkokauppayrittäjien keskuudessa. Kyseessä on kielimalleja hyödyntävä teknologia, jossa tekoäly pyrkii hahmottamaan, mitä asiakas haluaa ja ehdottamaan oikeita tuotteita ja palveluita. Asiakas esittää toiveensa esimerkiksi chat-ikkunassa, joka avautuu näkyville, kun asiakas saapuu sivustolle.
– Jos esimerkiksi haluan etsiä polkujuoksuun soveltuvat enintään 200 euron hintaiset lenkkarit, keskusteleva tekoälytyökalu analysoi toiveen ja purkaa sen tuotehauksi. Tämän jälkeen asiakas saa erilaisia ehdotuksia sopiviksi kengiksi, digitaalisen liiketoiminnan asiantuntijayrityksen Crasmanin toimitusjohtaja Samuli Hokkanen kertoo.
Teknologian tavoitteena on nopeuttaa asiakkaan ostoprosessia ja parantaa käyttökokemusta. Hokkasen mukaan parhaassa tapauksessa asiakkaan ei tarvitse navigoida verkkokaupan syövereissä etsiäkseen sopivaa tuotetta. Tällainen ostamisen tapa on lisääntymässä selvästi.
– Käyttäjät alkavat hiljalleen tottua malliin, jossa he juttelevat tekoälylle, Hokkanen sanoo.
Vaikuttaa orgaaniseen liikenteeseen
Keskusteleva ostaminen vaikuttaa verkkokauppojen liikenteeseen, koska käyttäjät saattavat saada vastauksen hakemaansa kysymykseen ulkopuolisessa tekoälytyökalussa kuten Geminissä tai ChatGPT:ssä tai Google omassa AI Overview -työkalussa. Jälkimmäinen on Googlen hakutulosten yläreunassa näkyvä, tekoälyn luoma yhteenveto, joka hyödyntää generatiivista tekoälyä keskeisten tietojen tiivistämiseen. Se korvaa käyttäjälle monessa tapauksessa perinteisen hakutulosten listauksen. Toiminnon avulla käyttäjä voi jatkaa ”keskustelua” tekoälyn kanssa.
– Tämä näkyy jo konkreettisesti verkkokauppasivustoilla. Niiden orgaaninen liikenne laskee, kun käyttäjä saa vastauksen jo Googlessa, Hokkanen kertoo. Hänen mielestään se ei ole välttämättä negatiivinen asia verkkokaupoille.
– Puhuisin enemmänkin muutoksesta. Generatiivisen tekoälyn vastaukset hakutuloksissa muuttavat näkyvyyden logiikkaa. Aiemmin on täytynyt pitää huolta siitä, että verkkokauppa näkyy Googlen hakutuloksissa ensimmäisellä hakusivulla. Nyt pitää huolehtia siitä, että Google osaa suositella verkkokauppaa käyttäjälle, joka etsii kyseistä tuotetta. Yritykselle on haitaksi, jos tähän ei reagoida mitenkään.
– Keskusteleva ostaminen auttaa nopeuttamaan ja tekemään ostoprosessista inhimillisemmän. Tulevaisuudessa asiakkaan käyttämä tekoäly voi keskustella myös suoraan verkkokaupan järjestelmien kanssa. Näin se voi vertailla vaihtoehtoja, tehdä tilauksen ja hoitaa koko prosessin automaattisesti, yrityksen toimitusjohtaja Antti Järvinen kertoo.
Hän uskoo että tulevaisuudessa tekoälyagenttien välinen asiointi muuttaa verkkokauppaostamista radikaalisti.
– Selainkäyttöliittymää ei tarvita välttämättä enää lainkaan, vaan tekoälyjen välinen palvelukerros hoitaa ostamisen.
Tomi Engdahl says:
“Gravity strikes.” https://trib.al/dAMizrf
Boom and Bust
Tech Stocks Are Abruptly Collapsing
“Gravity strikes.”
https://futurism.com/space/tech-stocks-collapsing-spacex?fbclid=IwdGRjcASni7ZjbGNrBKeLm2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHvXM2zabMJtkN9z4zujDeQ0Nc-YF8_PZmrMO5YGWbd8eP3HoMNnczLv2BvxX_aem_lJJTSOAGisajx_zjo1a_Pw
Following a blockbuster IPO earlier this month, Elon Musk’s SpaceX experienced a rude awakening. The rocket company’s shares have now been sliding for four consecutive days, wiping out nearly all the gains the public offering had initially made.
Now the broader stock market is experiencing a similar and intensifying sell-off. S&P 500 futures slid 1.6 percent on Tuesday, while Nasdaq 100 futures dropped 2.8 percent, on track to wipe out over $1 trillion in market value if the drop holds today, as NBC News reports.
Tech stocks, including Amazon, AI chipmaker Nvidia, Tesla, Alphabet, and Intel, plunged by more than three percent in pre-trading as well.
Tomi Engdahl says:
“There was no way as a grassroots person that I could compete with that kind of money.” https://trib.al/XfuZ5SK
Citizens Untied
AI Companies Are Trying to Seize Control of Elections
“There was no way as a grassroots person that I could compete with that kind of money.”
https://futurism.com/artificial-intelligence/ai-companies-elections-midterms?fbclid=IwdGRjcASntiZjbGNrBKe2F2V4dG4DYWVtAjExAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHmwyk7VF7glQO3zcr2qrpa_JALeYzrojD1FCpJothyb5vwGsp3cfiP9-lIlg_aem_7z0FWNVFO3NTqhspSqeWqQ
With trillions of dollars on the line, it should come as no surprise that tech companies are spending gobs of cash on the upcoming US midterm elections. What is surprising is the scale of electoral financing, as certain newly-founded AI super PACs are now spending more on candidates than the candidates are spending on themselves.
According to reporting by the Los Angeles Times, political finance groups linked to tech companies including OpenAI and Anthropic are already some of the top spenders in the 2026 elections. So far, they’ve distributed a combined $37 million on various campaigns, a number which is expected to skyrocket as November draws closer
While one might expect these companies to flock to the typically pro-business and small-government Republican party, an LA Times infographic shows that they’re cynically playing both sides. ChatGPT maker OpenAI, for example, is heavily linked to both the American Mission PAC, which has donated $8 million to Republicans, and the Think Big PAC, which has spent $14.1 million on Democrats so far.
Anthropic, meanwhile, is linked to the Jobs and Democracy PAC and Defending Our Values PAC, which gave $11 million and $5.2 million to Democrats and Republicans, respectively.
AI companies are quickly becoming “comfortable with using their power to achieve a political goal.”
Zooming out a bit, funding both sides of the aisle makes tactical sense, at least if you’re an AI company. One of the key benefits of backing mainstream political contenders seems to be the crushing effect it has on non-partisan candidates, who may come into office with populist ideas like regulating generative AI or restricting data center construction.
Tomi Engdahl says:
SoftBank CEO questions Elon Musk’s vision of AI data centers in space: ‘What’s the point?’ : https://mrf.lu/n1-J
Tomi Engdahl says:
https://www.tek.fi/fi/uutiset-blogit/tekoalyn-kaytto-nostaa-selvasti-palkkaa
Tomi Engdahl says:
https://www.xda-developers.com/created-web-app-using-claude-code-codex-antigravity-acted-tech-lead/
Tomi Engdahl says:
Pelot digiriippuvuudesta toteutuivat Anthropicin kohdalla – Euroopassa halutaan lopettaa naiivius
Anthropicin käyttörajoitukset ovat käynnistäneet Euroopassa keskustelun teknologisesta suvereniteetista. Päättäjien mukaan maanosan ei pitäisi olla liian riippuvainen ulkomaisista tekoälypalveluista.
https://www.tivi.fi/uutiset/a/b5ae4ba4-dde3-4277-8e42-ad3ca66f6050
Tomi Engdahl says:
https://www.businessinsider.com/microsoft-github-amazon-ai-cloud-capacity-2026-6
Tomi Engdahl says:
https://www.yrittajat.fi/uutiset/tekoaly-loytaa-asiakkaalle-oikean-tuotteen-jo-ennen-verkkokauppaan-menoa-asiantuntija-kertoo-mita-uusi-ilmio-tarkoittaa-kauppiaille/#/?utm_source=fb&utm_medium=paid&utm_campaign=120250107431590325&utm_term=120250107436480325&utm_content=120250107463930325&utm_id=120250107431590325
Tomi Engdahl says:
https://venturebeat.com/technology/anthropic-ships-major-claude-design-overhaul-with-design-system-imports-code-round-trips-and-a-fix-for-its-token-burning-problem
Tomi Engdahl says:
https://futurism.com/space/spacex-stock-started-fall
Tomi Engdahl says:
https://www.anthropic.com/research/claude-code-expertise?s=33