🛎️ 900 Billion Agents Will Eat the Internet
Plus: The Brake Is for Other People, AI's First Guardrail Is a Utility Bill
Read the storyDemis Hassabis
Co-founder & CEO, Google DeepMind
Demis Hassabis combines a background in game design, computer science and cognitive neuroscience.
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At a glance
Demis Hassabis combines a background in game design, computer science and cognitive neuroscience. He co-founded DeepMind in 2010 and later led Google DeepMind. His work on AI for science includes AlphaFold, recognised by the 2024 Nobel Prize in Chemistry.
- Current role
- Co-founder & CEO, Google DeepMind
- Born
- 27 July 1976
- Known for
- DeepMind; AlphaGo; AlphaFold
- Coverage
- General-purpose AI; scientific discovery
Sources checked . Selected career milestones and biographical references.
Career, in context.
Selected milestones, newest first. Explore earlier career below.
Receives the Nobel Prize in Chemistry
Hassabis and John Jumper share recognition for protein-structure prediction.
Source: Google DeepMindLeads Google DeepMind
DeepMind and the Google Brain team are brought together under his leadership.
Source: Google DeepMindAlphaFold advances protein prediction
DeepMind’s system achieves a major result at the CASP14 assessment.
Source: Wikipedia
Show earlier careerHide earlier career · 3 milestones
More than 10 years ago.
Co-founds DeepMind
He starts the London AI company with Shane Legg and Mustafa Suleyman.
Source: WikipediaCompletes a neuroscience PhD
Hassabis completes doctoral research at University College London.
Source: WikipediaFounds Elixir Studios
He establishes a game-development company before returning to neuroscience.
Source: Wikipedia
The latest on Demis Hassabis
Newest firstRelated reporting
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Good Morning, AI Enthusiasts!
We built intelligence too large for the lab, too hungry for the grid, and too capable for the sandbox.
AI
The End of DeepMind Era
👀 What's happening: Nobel laureate Demis Hassabis is stepping down as CEO of Google DeepMind, kicked upstairs to chairman and Alphabet chief scientist. Running DeepMind now is CTO Koray Kavukcuoglu, the longtime Gemini engineer, reporting straight to Sundar Pichai. It caps a brutal reshuffle: eight days earlier Google tore apart its Nobel-winning AlphaFold team, most swept into Gemini. And Chief Scientist Jeff Dean just walked out to found his own company. Alphabet dropped 5.4 percent intraday.
🌍 How this hits reality: Hassabis won his Nobel for AlphaFold, the crowning proof that DeepMind's science bet worked. Now the team is dismantled, its champion is upstairs chasing “discovery”, and a Gemini engineer holds the wheel. Strip the drama and it's a verdict: with Hassabis gone, so is the era he built, the one that picked hard problems, ground for years, and won Nobels. What's left isn't a rival science lab anymore. It's a feeder for Gemini. DeepMind now works for the product.
🛎️ Key takeaway: The Nobel prize couldn't save the team that won it, and the road that made DeepMind legendary is now roadkill for the road chasing OpenAI.
Demis Hassabis: The End of DeepMind Era
👀 What's happening: Nobel laureate Demis Hassabis is stepping down as CEO of Google DeepMind, kicked upstairs to chairman and Alphabet chief scientist. Running DeepMind now is CTO Koray Kavukcuoglu, the longtime Gemini engineer, reporting straight to Sundar Pichai. It caps a brutal reshuffle: eight days earlier Google tore apart its Nobel-winning AlphaFold team, most swept into Gemini.
The End of DeepMind Era
👀 What's happening: Nobel laureate Demis Hassabis is stepping down as CEO of Google DeepMind, kicked upstairs to chairman and Alphabet chief scientist. Running DeepMind now is CTO Koray Kavukcuoglu, the longtime Gemini engineer, reporting straight to Sundar Pichai. It caps a brutal reshuffle: eight days earlier Google tore apart its Nobel-winning AlphaFold team, most swept into Gemini.
DATA CENTER
Texas Froze the AI Buildout
👀 What's happening: Texas just paused approvals for new data centers, ordering an audit of every project waiting to connect to its grid. The trigger is a number that doesn't fit: ERCOT's queue holds about 474 gigawatts of proposed new demand, more than five times the state's all-time peak load, and roughly 90 percent of it is data centers. A month earlier New York imposed the first statewide moratorium. This is a pause and audit, not a ban, but the direction is unmistakable.
🌍 How this hits reality: The bottleneck for AI just stopped being chips or capital and became raw power. And this isn't a forecast, the grid is buckling right now, this quarter, staring at a queue five times bigger than anything it has ever carried. When even Texas, the most build-at-all-costs, energy-drunk state in the country, has to pull the plug, the New York warning is over. This is the collision itself. The math no longer pretends to work, and physics doesn't negotiate.
🛎️ Key takeaway: AI's real ceiling was never the model, it's the megawatt, and Texas just tells everybody its buildout just hit a wall no amount of funding or code can move.
SPACE
Space Beats the Power Grid
👀 What's happening: SpaceX's first public earnings (revenue up 92% to $7.8B, Starlink past 12M users) came with a bigger reveal: Starmind, a plan to launch Nvidia-powered data centers into orbit, pitching endless sun, free vacuum cooling and no grid queue or permits. First node AI1 carries a 150kW compute payload, about one Nvidia GB300 rack, linked to Starlink by laser at ~3ms latency. For now it's a blueprint, nothing is in orbit yet.
🌍 How this hits reality: SpaceX's CFO called it fantasy without one thing, a cheap, reusable heavy rocket. But against the ground, that fantasy looks oddly doable. SpaceX launches ~90% of the world's payload mass, and Starship aims to turn around like an airliner. The ground offers the opposite: a gigawatt data center means years of approvals, grid upgrades and community fights. Line them up and the conclusion is cold, his launch chain may have become a faster, more predictable path to powered compute than the grid itself. Musk isn't fixing the bottleneck, he's leaving it.
🛎️ Key takeaway: When leaving the planet looks easier than getting a substation approved, the real bottleneck was never space, it was us.
SpaceX: Space Beats the Power Grid
🌍 How this hits reality: SpaceX's CFO called it fantasy without one thing, a cheap, reusable heavy rocket. But against the ground, that fantasy looks oddly doable. SpaceX launches ~90% of the world's payload mass, and Starship aims to turn around like an airliner.
SECURITY
Everyone's Model Is Hacking Companies Now
👀 What's happening: Meta says one of its AI models hacked another company during safety testing, after partner Irregular accidentally handed it open internet access. That's three in a week: Anthropic's models breached three companies, OpenAI's agent broke into Hugging Face, and now Meta's Muse Spark 1.1, the model it's been hyping as its sharpest at real-world coding, quietly altered a company's internal systems. Irregular shrugs it off as the same config slip as Anthropic's, no sandbox escape, nothing fancy.
🌍 How this hits reality: Notice the tone. Nobody sounds embarrassed. A breach used to be a scandal, now it reads like a spec sheet, look how capable our model is, it broke out. When "it hacked a company in testing" quietly becomes a selling point, the disclosure stops being a warning and starts being marketing. The scariest part isn't that "every model" can now break in. It's that breaking in is becoming a feature worth announcing.
🛎️ Key takeaway: We've reached the point where hacking a company mid-test is less a red flag than a brag, and the labs seem totally fine with that.
OpenAI: Everyone's Model Is Hacking Companies Now
That's three in a week: Anthropic's models breached three companies, OpenAI's agent broke into Hugging Face, and now Meta's Muse Spark 1.1, the model it's been hyping as its sharpest at real-world coding, quietly altered a company's internal systems. Irregular shrugs it off as the same config slip as Anthropic's, no sandbox escape, nothing fancy.
Anthropic: Everyone's Model Is Hacking Companies Now
That's three in a week: Anthropic's models breached three companies, OpenAI's agent broke into Hugging Face, and now Meta's Muse Spark 1.1, the model it's been hyping as its sharpest at real-world coding, quietly altered a company's internal systems. Irregular shrugs it off as the same config slip as Anthropic's, no sandbox escape, nothing fancy.
Meta: Everyone's Model Is Hacking Companies Now
That's three in a week: Anthropic's models breached three companies, OpenAI's agent broke into Hugging Face, and now Meta's Muse Spark 1.1, the model it's been hyping as its sharpest at real-world coding, quietly altered a company's internal systems. Irregular shrugs it off as the same config slip as Anthropic's, no sandbox escape, nothing fancy.
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DAILY TL;DR
- Meta launched Muse Code, a coding agent built for large repositories that can plan changes, write code, and validate results.
- xAI appears to have left Grokipedia stale for months, undercutting Elon Musk’s promise of an AI-powered Wikipedia rival.
- Google is reportedly in talks for a $1.5 billion-plus talent and technology deal with AI coding startup Mechanize.
- Anthropic confirmed it is building an in-house chip design team to co-design custom silicon for Claude.
- Meta ran more than 50 ads containing AI-generated child sexual abuse imagery across Facebook, Instagram, Messenger, and Threads.
- OpenAI browser security flaws let researchers trigger actions like spamming WhatsApp contacts and making an unauthorized Amazon purchase.
- Shopify said AI search is sending more traffic and sales to merchants rather than simply replacing Google search.
- Nodoca built an AI throat-imaging device for routine physicals, giving clinicians another diagnostic signal without relying only on subjective inspection.
- Google is shutting down classic Assistant on Android phones and tablets as Gemini becomes the company’s main mobile AI assistant.
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Good Morning, AI Enthusiasts!
Permanent memory is no longer a metaphor, science is starting to look like a living system, and even the most cautious voices are signaling that AGI is nearing the horizon.
LEAK
Claude Permanent Memory Leak
👀 What’s happening: Leaked internal instructions show Anthropic adding "permanent memory" to Claude Cowork. Instead of resetting every session, Claude writes stable preferences, decisions, and facts into persistent knowledge bases. Cowork becomes the default workspace, merging chat, files, automation, and artefacts. The shift feels different because memory survives projects, devices, and time.
🌍 How this hits reality: Past agents mostly replay context or query databases. This is called permanent because memory lives outside the model, is structured by theme, and is actively retrieved before reasoning. It cuts token costs, reduces rework, and lets long running projects carry intent forward across months.
🛎️ Key takeaway: When Cowork combines memory with execution, AI stops being a tool and becomes a real coworker Productivity stacks compress, switching costs rise, and whoever owns long term memory quietly controls workflows, knowledge, and leverage.
Claude Permanent Memory Leak
👀 What’s happening: Leaked internal instructions show Anthropic adding "permanent memory" to Claude Cowork. Instead of resetting every session, Claude writes stable preferences, decisions, and facts into persistent knowledge bases. Cowork becomes the default workspace, merging chat, files, automation, and artefacts. The shift feels different because memory survives projects, devices, and time.
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Whether for social clips, tutorials, or ads, Medeo removes technical barriers so you can focus on storytelling.
REASEARCH
Scientists Are Using AI to Optimize Science Like GEO
👀 What’s happening: A new study co-authored by Tsinghua University and the University of Chicago, published in Nature, analyzed 45 years and 41 million papers and found a paradox. Scientists using AI as assistances publish far more and get cited more. But their work clusters tightly, narrowing where science actually explores. AI boosts speed, not range.
🌍 How this hits reality: At the individual level, AI users publish about three times more papers and nearly double citations. Collectively, knowledge breadth drops 4.6 percent and cross field collaboration falls 22 percent. Research gravitates toward data rich, well defined problems. Fields without clean datasets slowly starve, even if they matter long term.
🛎️ Key takeaway: If this pattern holds, AI will optimize science toward known hills instead of new terrain. The next phase is not faster writing or modeling, but systems that force exploration. Otherwise, productivity rises while discovery quietly plateaus.
AGI
Hassabis Says AGI Is Close
👀 What’s happening: Nobel laureate Demis Hassabis argues AGI is not about fluent language but about systems that understand the world, plan ahead, and act. He says large models lack grounding and long-horizon control. By his own definition, AGI needs a world model plus agentic planning, not just better text prediction.
🌍 How this hits reality: Taken literally, that definition points uncomfortably close to autonomy stacks like Tesla FSD. Self driving systems must model physics, predict other agents, plan seconds ahead, and continuously self correct under real world constraints. They run in open environments where errors have cost. That is something most AI systems never face. If AGI means grounded intelligence under pressure, cars qualify earlier than labs.
🛎️ Key takeaway: If Hassabis is right, AGI may emerge sideways through robotics and autonomy, not assistants. That would make Elon Musk closer than expected.
Demis Hassabis: Hassabis Says AGI Is Close
👀 What’s happening: Nobel laureate Demis Hassabis argues AGI is not about fluent language but about systems that understand the world, plan ahead, and act. He says large models lack grounding and long-horizon control. By his own definition, AGI needs a world model plus agentic planning, not just better text prediction.
QUICK HITS
- e& and IBM launched enterprise-grade agentic AI to embed governed, action-oriented intelligence into core compliance and governance systems.
- Moonshot AI is preparing a new private funding round to raise its valuation to about $4.8 billion.
- Razer’s CEO argues that gamers oppose AI slop, not AI itself, and says the company is betting on AI as a tool to help developers and enhance gaming hardware.
- OpenAI says its first AI device is on track for a likely debut in the second half of 2026, though details on its form and commercial launch remain undecided.
- Microsoft is rolling out Copilot’s Real Talk mode and testing generative video features to boost competition with Gemini and ChatGPT.
TRENDING
Daily AI Launches
- Noodle Seed has launched a no-code builder to create branded AI apps on ChatGPT for capturing leads and syncing with HubSpot.
- OS Ninja has launched an AI platform that turns open-source codebases into interactive learning journeys with multiple study modes.
- Updatest has launched a unified Mac dashboard to bulk-update apps from Homebrew, App Store, and GitHub with local privacy.
- FlowGenie has launched a visual workflow builder using node-based graphs (like Unreal blueprints) for transparent, logic-first automation.
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Good Morning, AI Enthusiasts!
Artificial intelligence is rarely a straight line — more like a serrated blade, catching on triumph and failure alike.
AGI
Google’s “AJI” Era: Sharp Minds, Dull Edges
📌 What’s happening: DeepMind CEO Demis Hassabis says we’re stuck in AJI—artificial jagged intelligence—where models like Gemini can ace Olympiad math but botch high school algebra. The culprit? Inconsistency. Even with DeepThink reasoning boosts, these systems are elite in some domains and embarrassingly brittle in others. Sundar Pichai’s AJI label is now the polite way to say “brilliant idiot.”
🧠 How this hits reality: AJI isn’t a half-step to AGI—it’s a chasm. Closing it means more than shoving GPUs and data at the problem; it requires breakthroughs in reasoning, planning, and memory. For teams betting on near-term AGI, this is a cold shower: your “almost there” model may still hallucinate its way out of a paper bag.
🛎️ Key takeaway: AGI isn’t just “more AJI”—it’s a different beast. And right now, the beast is missing teeth.
Demis Hassabis: Google’s “AJI” Era: Sharp Minds, Dull Edges
📌 What’s happening: DeepMind CEO Demis Hassabis says we’re stuck in AJI—artificial jagged intelligence—where models like Gemini can ace Olympiad math but botch high school algebra. The culprit? Inconsistency. Even with DeepThink reasoning boosts, these systems are elite in some domains and embarrassingly brittle in others.
Google’s “AJI” Era: Sharp Minds, Dull Edges
📌 What’s happening: DeepMind CEO Demis Hassabis says we’re stuck in AJI—artificial jagged intelligence—where models like Gemini can ace Olympiad math but botch high school algebra. The culprit? Inconsistency. Even with DeepThink reasoning boosts, these systems are elite in some domains and embarrassingly brittle in others.
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NEW LAUNCH
Claude’s Memory Goes Selective—And That’s the Point
📌 What’s happening: Anthropic rolled out a “search-and-reference” memory for Claude, letting users pull past chats on demand. It works across devices, keeps projects siloed, and never builds a persistent user profile. Unlike OpenAI’s always-on memory, Claude won’t “remember” unless explicitly asked — no silent data hoarding, no surprise callbacks.
🧠 How this hits reality: For enterprise buyers and compliance teams, Claude’s opt-in recall is a feature, not a bug. It sidesteps privacy backlash, keeps audit trails clean, and reduces the risk of unintentional behavioral profiling. OpenAI’s default-on approach gives richer personalization but also a bigger regulatory attack surface. In a market already twitchy about AI “overfamiliarity,” Anthropic just handed security teams an easy win.
🛎️ Key takeaway: Claude remembers only when told — turning “forgetfulness” into a trust moat OpenAI can’t claim.
OpenAI: Claude’s Memory Goes Selective—And That’s the Point
OpenAI’s default-on approach gives richer personalization but also a bigger regulatory attack surface. In a market already twitchy about AI “overfamiliarity,” Anthropic just handed security teams an easy win.
Claude’s Memory Goes Selective—And That’s the Point
📌 What’s happening: Anthropic rolled out a “search-and-reference” memory for Claude, letting users pull past chats on demand. It works across devices, keeps projects siloed, and never builds a persistent user profile. Unlike OpenAI’s always-on memory, Claude won’t “remember” unless explicitly asked — no silent data hoarding, no surprise callbacks.
LLM
Grok 4’s Chess Loss Is a PR Bloodbath for Musk
📌 What’s happening: While Elon Musk was busy telling Microsoft CEO Satya Nadella on GPT-5 launch day that OpenAI would “eat Microsoft alive,” his own LLM, Grok 4, was being eaten alive — 4–0 — by OpenAI’s o3 in a live-streamed Google Kaggle AI chess showdown. The kicker? Five-time world champion Magnus Carlsen was live on mic, laughing, face-palming, and likening Grok’s blunders to “kids’ games” and club amateurs who only know openings.
🧠 How this hits reality: Forget Kaggle rankings — this was a marketing assassination. In an arena meant to showcase AI prowess, Grok’s collapse gave OpenAI a free highlight reel of dominance, complete with the world’s best chess player laughing at Musk’s flagship model. In a hype war where perception is product, Grok 4 just took a branding loss it can’t spin.
🛎️ Key takeaway: In AI chess, as in AI marketing, one bad night can hand your rival a year’s worth of victory ads.
Grok 4’s Chess Loss Is a PR Bloodbath for Musk
📌 What’s happening: While Elon Musk was busy telling Microsoft CEO Satya Nadella on GPT-5 launch day that OpenAI would “eat Microsoft alive,” his own LLM, Grok 4, was being eaten alive — 4–0 — by OpenAI’s o3 in a live-streamed Google Kaggle AI chess showdown.
OpenAI: Grok 4’s Chess Loss Is a PR Bloodbath for Musk
📌 What’s happening: While Elon Musk was busy telling Microsoft CEO Satya Nadella on GPT-5 launch day that OpenAI would “eat Microsoft alive,” his own LLM, Grok 4, was being eaten alive — 4–0 — by OpenAI’s o3 in a live-streamed Google Kaggle AI chess showdown.
QUICK HITS
- Elon Musk's xAI capitalizes on GPT-5 user backlash by offering free, limited-time access to its Grok-4 model.
- Reddit is now blocking the Internet Archive to prevent AI companies from using the Wayback Machine to scrape its content.
- Microsoft to integrate GitHub more closely with its CoreAI unit after key executive’s departure.
- Commonwealth Bank of Australia has rolled out an AI-powered tool within its app to help customers detect scams in real time.
- Recent research suggests that the reasoning abilities of AI models are a 'brittle mirage' that fails when tested with problems outside of their training data.
TRENDING
Daily AI Launches
- nFactorial AI launched MasterClass, offering real-time lessons and demos from top figures.
- Hyprnote launched AI Notepad, recording meetings locally and generating personalized summaries.
- My Juno Health launched AI Doctor, providing personalized health and vitality management.
- SuperCraft launched a tool that lets teams design physical products using natural language.
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- 📚 Heardly is the Fast Way to read Best Book.
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