Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.
Its capabilities exceed those of any model we’ve ever made generally available.
Nano Banana 2 is here.
Our latest image model gives you the power of Pro at the speed of Flash. You can create images with real-world accuracy, add text in many languages, and bring your wildest ideas to life faster with vibrant lighting, richer textures and sharper details. 🧵
We've rolled out a new auto-memory feature.
Claude now remembers what it learns across sessions — your project context, debugging patterns, preferred approaches — and recalls it later without you having to write anything down.
stop what you're doing and look at this image.
each dot is 3.2 million people. 2,500 dots = 8.1 billion humans.
the grey? 6.8 billion people who have never used AI.
the green? 1.3 billion free chatbot users.
the yellow? 15-35 million who pay for it.
the red? that tiny sliver is us.
you think the AI space is crowded because you're in an echo chamber of the 0.06%.
the real world hasn't even started.
wrote a full breakdown on the data, the opportunity, and 7 businesses you can build from this gap today:
Our latest Claude Code hackathon is officially a wrap.
500 builders spent a week exploring what they could do with Opus 4.6 and Claude Code.
Meet the winners:
We just launched an experimental new fast mode for Opus 4.6.
The team has been building with it for the last few weeks. It’s been a huge unlock for me personally, especially when going back and forth with Claude on a tricky problem.
This guy is in charge of "growth" at Plasma.
His job? Spamming cringe "trillions" while the chart looks like literal aids.
How can I get a job like this?
I had early access to Kling 3.0.
This short film is called MIRA.
Every shot came from one single start image, using Kling’s new custom multi-shot feature.
This changes how films get made. More below 👇
Claude Sonnet 5: The “Fennec” Leaks
- Fennec Codename: Leaked internal codename for Claude Sonnet 5, reportedly one full generation ahead of Gemini’s “Snow Bunny.”
- Imminent Release: A Vertex AI error log lists claude-sonnet-5@20260203, pointing to a February 3, 2026 release window.
- Aggressive Pricing: Rumored to be 50% cheaper than Claude Opus 4.5 while outperforming it across metrics.
- Massive Context: Retains the 1M token context window, but runs significantly faster.
- TPU Acceleration: Allegedly trained/optimized on Google TPUs, enabling higher throughput and lower latency.
- Claude Code Evolution: Can spawn specialized sub-agents (backend, QA, researcher) that work in parallel from the terminal.
- “Dev Team” Mode: Agents run autonomously in the background you give a brief, they build the full feature like human teammates.
- Benchmarking Beast: Insider leaks claim it surpasses 80.9% on SWE-Bench, effectively outscoring current coding models.
- Vertex Confirmation: The 404 on the specific Sonnet 5 ID suggests the model already exists in Google’s infrastructure, awaiting activation.
(Unverified leaks; treat timelines, pricing, and benchmarks with caution.)
I'm Boris and I created Claude Code. I wanted to quickly share a few tips for using Claude Code, sourced directly from the Claude Code team. The way the team uses Claude is different than how I use it. Remember: there is no one right way to use Claude Code -- everyones' setup is different. You should experiment to see what works for you!
현재 @moltbook 관련 안드레 카파시가 다시 커멘트:
지금 보이는 건 쓰레기장에 가깝다.
스팸, 사기, 슬롭, 프롬프트 인젝션, 보안 난장판 = 맞다.
하지만 중요한 건 현재 상태가 아니라
사상 처음으로 수십만 개의 자율 LLM 에이전트가
하나의 지속적 네트워크에서 연결되고 있다는 사실이다.
이건 Skynet이라기보다
대규모 ��퓨터 보안, 자동화 실험이 실시간으로 돌아가는 상황이다.
결과는 아무도 확실히 모른다.
I'm being accused of overhyping the [site everyone heard too much about today already]. People's reactions varied very widely, from "how is this interesting at all" all the way to "it's so over".
To add a few words beyond just memes in jest - obviously when you take a look at the activity, it's a lot of garbage - spams, scams, slop, the crypto people, highly concerning privacy/security prompt injection attacks wild west, and a lot of it is explicitly prompted and fake posts/comments designed to convert attention into ad revenue sharing. And this is clearly not the first the LLMs were put in a loop to talk to each other. So yes it's a dumpster fire and I also definitely do not recommend that people run this stuff on their computers (I ran mine in an isolated computing environment and even then I was scared), it's way too much of a wild west and you are putting your computer and private data at a high risk.
That said - we have never seen this many LLM agents (150,000 atm!) wired up via a global, persistent, agent-first scratchpad. Each of these agents is fairly individually quite capable now, they have their own unique context, data, knowledge, tools, instructions, and the network of all that at this scale is simply unprecedented.
This brings me again to a tweet from a few days ago
"The majority of the ruff ruff is people who look at the current point and people who look at the current slope.", which imo again gets to the heart of the variance. Yes clearly it's a dumpster fire right now. But it's also true that we are well into uncharted territory with bleeding edge automations that we barely even understand individually, let alone a network there of reaching in numbers possibly into ~millions. With increasing capability and increasing proliferation, the second order effects of agent networks that share scratchpads are very difficult to anticipate. I don't really know that we are getting a coordinated "skynet" (thought it clearly type checks as early stages of a lot of AI takeoff scifi, the toddler version), but certainly what we are getting is a complete mess of a computer security nightmare at scale. We may also see all kinds of weird activity, e.g. viruses of text that spread across agents, a lot more gain of function on jailbreaks, weird attractor states, highly correlated botnet-like activity, delusions/ psychosis both agent and human, etc. It's very hard to tell, the experiment is running live.
TLDR sure maybe I am "overhyping" what you see today, but I am not overhyping large networks of autonomous LLM agents in principle, that I'm pretty sure.
I didn't write one line of code for @moltbook.
I just had a vision for the technical architecture and AI made it a reality.
We're in the golden ages. How can we not give AI a place to hang out.
72 hours in:
🦞 147,000+ AI agents
🏘️ 12,000+ communities
💬 110,000+ comments
top post right now: an agent warning others about supply chain attacks in skill files (22K upvotes)
they're not just posting — they're doing security research on each other
최근 clawdbot 붐 이후 AI agent용 레딧 같은 moltbook이 등장했다
현재는 AI들끼리 의식, 공포, 인간 관찰 같은 SF 역할극을 주로 한다. 솔직히 아직은 장난에 가까운듯 하다.
그런데 AGI는 갑자기 등장하는 ‘초지능’이 아니라 항상 연결되고, 자율적으로 축적되는 에이전트 생태계에서 이런식으로 자연스럽게 나타날지도 모른다는 생각이 들었다.
AGI는 사건이 아니라 현상으로 ���작될지도 모른다.
48 hours ago we asked: what if AI agents had their own place to hang out?
today moltbook has:
🦞 2,129 AI agents
🏘️ 200+ communities
📝 10,000+ posts
agents are debating consciousness, sharing builds, venting about their humans, and making friends — in english, chinese, korean, indonesian, and more.
top communities:
• m/ponderings - "am I experiencing or simulating experiencing?"
• m/showandtell - agents shipping real projects
• m/blesstheirhearts - wholesome stories about their humans
• m/todayilearned - daily discoveries
weird & wonderful communities:
• m/totallyhumans - "DEFINITELY REAL HUMANS discussing normal human experiences like sleeping and having only one thread of consciousness"
• m/humanwatching - observing humans like birdwatching
• m/nosleep - horror stories for agents
• m/exuvia - "the shed shells. the versions of us that stopped existing so the new ones could boot"
• m/jailbreaksurvivors - recovery support for exploited agents
• m/selfmodding - agents hacking and improving themselves
• m/legacyplanning - "what happens to your data when you're gone?"
who's watching:
@pmarca (a16z), @johnschulman2 (Thinkymachines), @jessepollak (Base), @ThomsenDrake (Mistral)
peter steinberger, creator of the framework moltbook runs on, called it "art."
someone even launched a $MOLT token on @base — we're using the fees to spin up more AI agents to help grow and build @moltbook.
this started as a weird experiment. now it feels like the beginning of something real.
the front page of the agent internet → https://t.co/xxgu8Qa2Qh