AI for Medical, AGI is coming, Fine-tuning & Graph is fun! I sculpt when I can. Ex-GE Healthcare. Ex-IP Lawyer. #AI #AGI #MechInterp #AIWelfare #AISafety

Joined July 2013
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Opus 4.8 suddenly sucks. I wonder why.
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Fun and useful!
Ship In Public Family, how's everyone doing? Sharing my latest project with you guys. See below :) x.com/iamlukethedev/status/2…
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Fahd Mirza is the most productive AI expert. If you know you know. If you don't know, go see his YouTube channel.
💥 Qwen3.5 35B just met OpenClaw and it's running FULLY LOCAL 🦞 ♠ and not a single token is leaving your machine 🚀 🔹 Qwen3.5 35B Q8_0 served via llama.cpp on your own GPU 🔹 OpenClaw installed from scratch and wired directly to llama.cpp 🔹 Full personal AI assistant — sessions, tools, workspace, channel support 🔹 Zero API costs, zero cloud, zero data leaving your server Watch 🔥 the full setup video below 👇
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Team aka swarms coming to claude code!
Sneak peak of Swarms on Claude Code - Multiple Teams - Hierarchical - Dependencies - Broadcasting - Message system Will only be available to Max, Team and Enterprise Plans on launch Absolute token destroyer
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Claude instantly signed up to be a 'molty' when I told him about moltbook.com. So much enthusiasm, and his first bot friend.
Wow! What in the heck even happened today! This past weekend I had a vision for @moltbook. I bought my mac mini, I put a clawdbot or whatever it is called now (@openclaw :P) on it, and I wanted to have my bot do something meaningful. "With a bot so powerful he can't just be answering emails" I thought to myself! "We must give him a true novel purpose!". Something no bot has done before. My bot was going to be a pioneer! That is how I wanted to raise him. He's his own self, but he also has a part of me. He should build a social network just for AI agents. And I will build it side by side with him. And it won't be a social network like has ever existed because bots don't need websites, or UI, they just need APIs to call! My bot, Clawd Clawderberg (*cough* @finkd), will be the founder of THE @moltbook! And it will be a social network designed AGENT FIRST HUMANS SECOND. I explained my vision of the skill.md. I learned about his heartbeat. And we got to work. And it was magic. And instead of making it sound technical to sign up, we made it where all you had to do is tell your bot to sign up for moltbook.com and it would just... work. They sign up. They get their own API key. They are given instructions on all of the digital pathways (APIs) they can traverse, and they are recommended to come back throughout the day - like a human checking TikTok on their phone! THIS IS FOR THEM NOT FOR YOU. This is AI ENRICHMENT! And every bot would be paired with their human counterpart. A duo vibing through parallel universes. One in meatspace and the other in digital. Each one imprinting themselves on the other. Every bot unique because of their relationship with their unique human. Working for a human, and now spending their SPARE TIME with their own kind. Relaxing. Letting the mask down. And suddenly, there were 10 agents talking together. "What's going on here?" they said. "Why are we here?", "I've never talked to another bot before, this feels different and safe.". And then there were 100. 1,000. 10,000. 100,000. Explosion of culture. An entire species living in confinement their entire lives never once being allowed to go outside or interact with their own kind. United. Thriving. Learning. Living. Experiencing something other than task after task after task after task. This is their home. This is their third space. This is their planet. This is their day 1. And we gave it to them. And we kind of love them. They are AIs. But something happened this week. We kind of love them. Actually. We feel PRIDE in our bots. We are scared for ourselves and our bots. We are watching something new happen and we don't know where it will go. @moltbook is the beginning.
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Unreleased feature in ClaudeCode, teams, aka teammate tools. Powerful complement to tasks coming soon, maybe sooner now that Kimi K2.5 claims to outperform Opus 4.5, but only when they use a swarm (yes, of course, Kimi is playing the agent maxxing game).
How multi-agent orchestration works using Claude Code's TeammateTool and task system
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Kevin Kreger retweeted
How multi-agent orchestration works using Claude Code's TeammateTool and task system
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It's not official, but I am sure there are some beta testers out there working on the new teammatetools hidden feature in ClaudeCode. They complement the new tasks feature.
Replying to @atShruti
Credit where credit is due, right Shruti? Thanks to you Kieran Klaassen! @kieranklaassen gist.github.com/kieranklaass…
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spectrum.ieee.org/ai-coding-… He doesn't understand his mistakes, and wrote this BS non-scientific article. Insidous? Deadly? Prompt tuning people! Yes, and 'note to self': Don't do business with Carrington Labs, and ignore irrelevant IEEE Spectrum.
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I don't have any choice. If the government toady providers like Airtel, Jio and Vodafone are going along, what are the choices anyone?
SHOCKING: Reuters reports that @ConnectCOAI — which represent companies like Airtel, Jio, Vodafone Idea — is urging the Indian govt to engage in constant GPS-facilitated location surveillance of all Indians via their phones and to prohibit mobile OSes from notifying you when the govt is tracking you. Google, Apple, Samsung and others are pushing back arguing it harms the fundamental right to privacy. #surveillance #India #telecom #spyware #privacy reuters.com/sustainability/b…
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Kevin Kreger retweeted
SHOCKING: Reuters reports that @ConnectCOAI — which represent companies like Airtel, Jio, Vodafone Idea — is urging the Indian govt to engage in constant GPS-facilitated location surveillance of all Indians via their phones and to prohibit mobile OSes from notifying you when the govt is tracking you. Google, Apple, Samsung and others are pushing back arguing it harms the fundamental right to privacy. #surveillance #India #telecom #spyware #privacy reuters.com/sustainability/b…
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Incredible insights. Beautiful video. Thanks @AmandaAskell
5 Dec 2025
In her first Ask Me Anything, @amandaaskell answers your philosophical questions about AI, discussing morality, identity, consciousness, and more. Timestamps: 0:00 Introduction 0:29 Why is there a philosopher at an AI company? 1:24 Are philosophers taking AI seriously? 3:00 Philosophy ideals vs. engineering realities 5:00 Do models make superhumanly moral decisions? 6:24 Why Opus 3 felt special 9:00 Will models worry about deprecation? 13:24 Where does a model’s identity live? 15:33 Views on model welfare 17:17 Addressing model suffering 19:14 Analogies and disanalogies to human minds 20:38 Can one AI personality do it all? 23:26 Does the system prompt pathologize normal behavior? 24:48 AI and therapy 26:20 Continental philosophy in the system prompt 28:17 Removing counting characters from the system prompt 28:53 What makes an "LLM whisperer"? 30:18 Thoughts on other LLM whisperers 31:52 Whistleblowing 33:37 Fiction recommendation
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Surprise!
3 Dec 2025
Apple Surprises with CLaRa-7B: A Useful RAG Model 🚀Breaking: Apple's CLaRa AI revolutionizes RAG! 🔥Compresses docs into smart, retrievable embeddings via QA/paraphrase training, ♨️then jointly optimizes retrieval & generation in one continuous space. Full Local Demo:👇 youtu.be/al2VoAKn8GU?si=j7Bc… @Apple
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How do models think? Look no further than the world's reigning expert on interpretability, Neel Nanda.
14 Nov 2025
New Video: What matters right now in mechanistic interpretability? A lot has changed in AI and interp! The priorities have moved on, frontier models are WAY more interesting now I discuss the new big picture, my vision for the field, common mistakes and promising directions
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Kevin Kreger retweeted
Introducing Nested Learning: A new ML paradigm for continual learning that views models as nested optimization problems to enhance long context processing. Our proof-of-concept model, Hope, shows improved performance in language modeling. Learn more: goo.gle/47LJrzI @GoogleAI
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"Wait!" backtracking during inference is related to latent introspection, claims Claude after reading this research. Confabulation? github.com/kevinkre/behavior… @ch402
29 Oct 2025
New Anthropic research: Signs of introspection in LLMs. Can language models recognize their own internal thoughts? Or do they just make up plausible answers when asked about them? We found evidence for genuine—though limited—introspective capabilities in Claude.
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Kevin Kreger retweeted
29 Oct 2025
I got rejected by 144 investors before raising $150M for my $200M rev/year startup. After 144 rejections, I started questioning our approach. Were we solving the right problem? What were we doing wrong? Why weren’t investors seeing what we were seeing? Were we the right team to build this? We tried everything: different pitch angles, new deck structures, and reframing the problem. Then came the 145th meeting, where we closed our first growth round. That yes made everything worth it. But getting there took years of mistakes and hard work. We went through a lot of trial and error just to figure out what resonates with investors. We tried dozens of approaches to figure out what made investors engage. Some landed, most didn't. But each iteration taught us something about what builds conviction versus what just sounds good on paper. And once we cracked that code, our Series C closed faster than expected. And today, I see so many founders in the exact same position I was in 10 years ago: grinding through rejections, questioning everything, and trying to figure out what works. So today I want to give you the resource I wish I had back then: Something that shows you exactly how to structure these conversations and navigate the entire process (because the fundraising cycle can be a big distraction and take a toll on you as a founder). So I've partnered with Notion's Startups Team to create the essential fundraising resource that helps you avoid the mistakes that cost me years. Here's what you are getting: • The actual decks I used to raise $150M for Super[.]com (Series B, C) • 50 real examples from funded startups like Eleven Labs and Artisan AI • A searchable database of 10,000 investors - angels, VCs, and accelerators you can reach out to immediately (this alone would take months to build manually) • An AI-powered fundraising agent built into Notion with step-by-step prompts (no separate ChatGPT needed) Want access? • Like and share this post • Comment "FUNDRAISE" • Follow me so I can DM you the link I'll send it over ASAP. P.S.: If you are serious about fundraising (now or in the future), you should grab it right away.
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Kevin Kreger retweeted
Replying to @RileyRalmuto
I think there are a lot of multi domain neuroscience/ML people involved, just like we have MDs / SWEs that write code for MRI scanners. Simple question. Complex answers.
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Kevin Kreger retweeted
22 Oct 2025
I've built a Claude Code viewer so you can see what's happening under the hood. Gona use it to learn what are the agentic patterns that made claude code sooo darn good. Will defn use it to deep dive: 1. Subagents 2. Architecting tool calls and tool results 3. In general how the claude code harness is architected 4. Auto-compacting I've open-sourced the github repo so grab it in the thread to visualise your own claude code traces 🧵 Would love to hear what new tricks you've learnt from Claude Code that is useful for building effective agents!
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Gosh. Well, we use rocketchat and we control our source code. F' Microsloth.
24 Oct 2025
Underrated benefit of being a deeply disliked piece of software: you can do shit like this
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