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🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends. Contact: @CaptainJamesCook
⚡️AI servers are heating Finnish homes
Finland is turning data center waste heat into urban infrastructure.
• AI-powered data centers generate huge amounts of heat during server cooling.
• Instead of dumping it, the heated water is fed directly into city district heating networks, then circulated back to the data centers.
Who’s already doing it
• Google (Hamina): heats ~2,000 homes for free, covering up to 80% of the city’s heating demand.
• Microsoft (Espoo): supplies heat to up to 40% of the city around 100,000 homes.
Data centers shift from energy hogs to critical utilities, lowering emissions, cutting heating costs, and embedding AI infrastructure deep into city systems.
AI isn’t just powering the cloud anymore, it’s literally warming cities.
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Grok and ChatGPT have fundamentally different opinions on whether Maduro's arrest was legal and justified. ChatGPT: No, Grok: Yes.
What do you guys think? 🤔
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❗️Satya Nadella wants you to stop saying AI "slop" in 2026
Nadella argues AI is moving from early discovery into broad diffusion, where people can tell “spectacle” from “substance”.
He frames the main problem as “model overhang,” where model capability is racing ahead of what teams can safely and reliably use in the real world.
Says the next gains come less from bigger models and more from building systems around models, like tool use, permissions, memory, monitoring, and tight feedback loops.
In that systems view, “eval impact” matters because it is the measurement layer that checks if an agent actually finished the task correctly, not just produced fluent text.
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AI will eat OnlyFans by the end of 2026.
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🇨🇳 AI-driven swarm coordination, with no collisions or visible lag.
In Liuyang, China’s “Fireworks Capital" 15,947 drones flew in sync, a new Guinness World Record with zero human pilots.
AI coordination soon should move from drone shows to city systems.
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🔥 How a 23-year-old self-taught researcher ended up at OpenAI
A story that quietly questions the role of universities in the age of AI tutors.
Meet Gabriel Pettersson, 23 years old, from a remote town in Sweden. No university degree. No formal CS education. Today: researcher at OpenAI, working on Sora.
The bigger shift: The monopoly of universities on deep technical knowledge is cracking.
Traditional education follows a bottom-up path: linear algebra → calculus → statistics → ML → maybe real work someday.
The problem? Motivation dies long before relevance appears.
At the same time, companies are moving faster.
• Palantir already hires straight out of high school.
• Results now matter more than credentials.
Gabriel is a clean example of this transition.
How he actually learned deep learning: No courses. No degrees. ChatGPT as a mentor.
His method: “recursive gap filling.”
Top-down instead of bottom-up:
• Start with a real, complex goal (e.g. diffusion models).
• Ask ChatGPT to generate the full code, even if it’s incomprehensible.
• Go block by block and ask: “What does this do?”
• If it’s a ResNet block: “Why does this help learning?”
• If math appears: “Explain the math behind this, now.”
Repeat recursively until nothing is unclear. Key idea: He didn’t learn math in advance. He learned only the math required to make progress right now.
No diploma so how did he get into the US? Via an O-1 talent visa.
Proof of merit:
• High-impact Stack Overflow contributions
• Recommendations seen by millions
• Public, verifiable signal not certificates
How he suggests getting hired
• Forget HR pipelines.
• CVs and degrees are weak signals.
• Build an MVP or demo.
• Pitch directly to decision-makers.
• Offer to work for free for a week to remove risk.
If you deliver, credentials become irrelevant.
His core message, If you:
• Ask questions relentlessly
• Aren’t afraid to look stupid in front of an AI
• Actively close knowledge gaps instead of “studying someday”
you’re already ahead of 99% of people who just follow the default path.
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📢 Instagram head Adam Mosseri just wrote 1,240 words on how AI will affect Instagram creators and social media.
Here are 9 takeaways:
1. By 2026, “authenticity” will be infinitely reproducible: deepfakes and AI media will look real.
2. The internet already shifted power from institutions to individuals; creators gained trust as institutions declined.
3. AI will produce far more content than humans capture, including high-quality “synthetic” media that soon feels real.
4. As synthetic content floods feeds, true authenticity becomes scarce, increasing demand for trusted creators.
5. The success bar moves from “can you create?” to “can you make something only YOU could make?”
6. Because polish is cheap (AI + phone cameras), a raw, imperfect aesthetic becomes a credibility signal (“proof”).
7. People will shift from assuming media is real to default skepticism, focusing more on who posted and why.
8. Platforms will be pressured to label AI content, but detection will get harder…a better approach may be fingerprinting real media at capture (cryptographic signing).
9. Instagram should evolve with better creator tools, clearer AI labeling, real-media verification, richer account context/credibility signals, and stronger ranking for originality.
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⚡️ Finally, an AI computer that looks cool on your face.
It will be interesting to see if they can get any decent amount of market share. This looks a little bit better than the Meta displays.
https://www.pickle.com/order
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Fully autonomous PHYBOT C1 playing badminton against humans
This is so much more impressive than another robot doing martial arts.
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AI movies go mainstream in 2026
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⚠️ In US AI data centers hitting a hard energy wall.
Morgan Stanley research projects a 44 gigawatt power gap, that current grids and construction plans cannot fill. US data centers are expected to need 69 gigawatts of power between 2025 and 2028, but only 10 gigawatts are coming from projects with their own power and 15 gigawatts from spare grid capacity, leaving a 44 gigawatt shortfall.
That 44 gigawatts is roughly the output of 44 nuclear power plants and with $60B per gigawatt capex needed. Multiplying that by the 44 gigawatt gap gives about $2.6T just for new power generation and grid upgrades, and this does not include another roughly $2T needed to actually build the data centers that will use that electricity.
So the full bill to close this near term gap is on the order of $4.6T
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💰 Nvidia’s $20B Groq licensing deal pays out Groq shareholders and many employees even though no Groq equity is being sold.
"The bottom line: Everyone gets paid. A lot." Most Groq shareholders get per-share distributions tied to that valuation, with about 85% paid up front, 10% in mid-2026, and the rest by end-2026. About 90% of Groq employees are expected to join Nvidia and get cash for vested shares, plus Nvidia stock for unvested value that vests over time.
Around 50 people reportedly get full acceleration, meaning their whole stock package gets paid out in cash right away. Employees who stay at Groq still get paid for vested shares and also get a package that keeps them economically tied to the ongoing standalone company.
Anyone with under 1 year of tenure is said to have the vesting cliff removed so they still receive some liquidity. Groq had raised about $3.3B since 2016, including $750M at nearly a $7B post-money valuation, and it had never run a secondary tender.
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A student just sent a humanoid robot to collect his diploma
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🗣 Google's ex-CEO Eric Schmidt talks about how his whole early life was basically coding, and how AI just wiped it out.
He says in his 20s all he wanted to do was write programs, all the way through college and grad school, and that this is what built his career.
But now, every single thing he learned back then can be done by AI. "Each and every one of you has a supercomputer and superprogrammer in your pocket."
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Satya Nadella revealed Bill Gates saw the intial $1B OpenAI bet as burning cash.
Microsoft made the move anyway, knowing it was high-risk, with no guarantee of upside.
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Robots are increasingly developing new capabilities. In this case, "Robodogs" have now learned to swim.
It won’t be a surprise if they could fly in the future and then be used on water, in the air, and on land.
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These days YouTube is filled with AI slop. This slop video for kids is the 5th most-viewed clip, with over 100 million views.
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Even humanoids slip on slippery floors just like us!
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🗣 Aravind Srinivas, CEO of Perplexity, says AI still doesn’t solve problems on its own. A human always identifies the important question first.
No system has ever asked a fundamental question out of curiosity. That spark remains human. AI can solve, optimize, and verify, knowing what’s worth asking is still the real advantage.
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🔥 Machine gun on a drone:
After seeing yesterday that drones can also be used for useful things like firefighting, we shouldn't be under any illusions:their real benefit will be in the military.
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The number one sub streamer is an AI by the way.
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This guy literally shows how to use ChatGPT to automate your entire life.
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How to post 300 AI videos per day on tiktok shop without being banned:
• Use separate phones
• Post 3x per day on each phone
• Manage them all in one office
• 100+ phones promoting a product
• Ai making the content
• Ai making the strategy
• $$$ sales coming in
The future is here
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🔥Remote operators with Indian accents are controlling robot dogs in the US
In Atlanta, a police officer on an evening patrol encountered a robot dog that calmly informed her it was patrolling the neighborhood. The voice came with a distinct Indian accent, suggesting the robot was being remotely operated by an overseas worker.
The most likely explanation is that private security firms are outsourcing robot monitoring and control to operators in India, turning autonomous-looking patrols into a form of global remote labor rather than fully independent AI.
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🗣 Elon Musk said xAI will surpass everyone else in AI compute within 5 years, with the Macrohard-branded Colossus 2 data center serving as a clear reference to his AI project aimed at rivaling Microsoft.
Colossus2 is a Tennessee and Mississippi buildout that is already pushing past 400MW and aiming for about 2GW at 1 site, including outside power generation equipment to move faster than normal utility timelines.
Musk has ealier also claimed about 230,000 GPUs are already training Grok while targeting 50M “H100-equivalent” GPUs within 5 years.
Using Nvidia’s “up to 700W” H100 SXM spec, 50M H100-equivalents would be about 35GW just for GPUs.
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Sam Altman says OpenAI’s models are “beginning to find critical vulnerabilities,” so OpenAI is hiring a $555,000 Head of Preparedness to tighten how it tests and ships agentic systems.
The job listing says the role runs OpenAI’s Preparedness Framework, building capability evaluations, threat models, and mitigations for cybersecurity, biosecurity, and AI self-improvement.
OpenAI has earlier warned that frontier models could enable 0-day remote exploits, and recently Anthropic reported a China-linked campaign using Claude Code against about 30 targets with 80%-90% automation, so “advisor” models are starting to look like operators.
https://openai.com/careers/head-of-preparedness-san-francisco/
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2 in 3 Americans think AI will cause major harm to humans in the next 20 years according to Pew Research.
Source.
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Trump: "We're gonna need the help of robots and other forms of ... I guess you could say employment. We're gonna be employing a lot of artificial things."
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Fully autonomous combat robots patrolling the war in Ukraine. War is terrible, but war is now being fought with AI and robotics.
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Porcospino Flex: A bio-inspired single-track robot built to squeeze and grip through confined spaces
Two things stand out in particular: For the development of robotics, it is essential to look to the animal kingdom for inspiration. Creativity is crucial for discovering new use cases.
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