Beyond the Model

Anthropic dropped an absolute banger last week: "Tracing the thoughts of an LLM"... 👇💥 They literally trace Claude’s thoughts step-by-step 😬🤯 By freezing the model mid-generation and probing intermediate activations, they show how Claude plans, revises, and sometimes second-guesses itself before it even speaks. You can see the latent reasoning evolve token by token—like a thought bubble forming before words. This isn’t toy examples either—they dig into algebra problems, logic puzzles, and even hallucinated citations. It’s one of the clearest looks yet at what’s actually going on inside a frontier LLM. And honestly, it raises the bar for interpretability research. Super cool read for anyone thinking about alignment, chain-of-thought, or the inner lives of transformers. Link below and let us know your thoughts in the comments 💫🙌👇 #beyondthemodel #machinelearning #deeplearning #claude #anthropic

I'm looking for technical leaders and hands off research science managers for a key client of ours in San Francisco 😎 👇🔥 You'll be involved in arguably some of the most important work in the next decade from an AI perspective. Here's the TDLR: 💡 What will you be doing? 👉 Building Artificial Super Intelligence. 💡 Who will you be doing it with? 👉 Ex-OpenAI, DeepMind, Nvidia, FAIR, BAIR (this could go on) Researchers, Multi-Exit commercial leaders + SV Vets + World recognized AI Leaders. 💡 What research areas will you cover? 👉 Large Scale Foundation Models, LLMs, truly Multi Modal models, Reinforcement Learning, RLHF, Diffusion Modelling (this could go on...). 💡 What happens if you get it right? 👉 A mighty high citation count, amongst other things... (transforming the way we tackle science and discovery + the potential to change millions of lives). If you have a track record of running SOTA, Frontier AI research groups and a strong network to recruit/build a world leading team, GET IN TOUCH! #beyondthemodel #artificialintelligence #machinelearning #deeplearning #recruitment

🚀 This Week in AI & Robotics:🤯🤖 🔹 Microsoft's Dragon Copilot (Healthcare Revolution) 🏥🎙️: AI that merges voice dictation and ambient listening for clinical documentation? Saving clinicians 5 minutes per patient? That's efficiency! 🔹 @ASLP Labs' DiffRhythm (AI Song Generation) 🎵🎤: 4-minute songs with vocals in 10 seconds with Lyrics and style reference 🔹 Proception.AI (Dexterous Robot Hands) 🖐️🤖: Building robot hands from real human interaction data?! 🔹 Boston Dynamics' Atlas 2.0 (Logistics Powerhouse) 📦🤖: Atlas picking, carrying, and placing objects. Where robotics meets real-world application. 🔹 @Manus - (Autonomous AI Agents) 🌐🤖: A fully autonomous AI agent handling real-world tasks like financial transactions and research? Viral for a reason! 🔹 Anthropic's $3.5B Series E💰📈: Tripling valuation to $61.5B after Claude 3.7 Sonnet’s release? They're serious about expanding computing resources and AI safety. 🔹 T-Mobile's Perplexity-Powered AI Phone (App-Less Navigation) 📱🧠: AI phone with Perplexity Assistant, Google, ElevenLabs, and PicsArt 🔹 Cortical Labs' Biocomputer (Living Neurons!) 🧠💻: Living neurons on a chip outperforming SOTA models 🔹 Sanctuary AI's Tactile Sensors (Feeling Robots) 🖐️🤖: Robots that can "feel" texture and pressure? Fine manipulation just got a whole lot better. 🔹 Alibaba Group's Qwen QwQ-32B (Reasoning AI) 🧠💰: Beating DeepSeek-R1 with a 20x smaller model with an Open-sourced and affordable model 🔹 Convergence AI's Template Hub (Proxy Agents) 🤝🤖: Marketplace for Proxy agent templates 🔹 Muks Robotics – The AI Robotics Company ' Spacio (Heavy-Duty Humanoid) 🦾🏭: 200kg payload, 8-ft height, autonomous navigation #BeyondTheModel #AI #Robotics #Innovation #TechNews Beyond the Model Beyond the Model

🚀 This Week in AI & Robotics🤖💡 🔹 Altera’s Project Sid 🎮🧠 – Simulated 1,000 AI agents collaborating in Minecraft, forming economies and governance structures. A major step toward autonomous decision-making at scale. 🔹 Replit's Agent 🖥️⚡ – AI that lets developers build apps from simple text descriptions, making software development more accessible. Nice! 🔹 Waeve Inc. Robotics' Isaac 🏠🤖 – A personal assistant robot for household tasks like cleaning and laundry, bringing automation into daily life. Please can I have one? 🔹 Google DeepMind's AlphaProteo 🧬💊 – AI-designed proteins that bind more effectively to targets, a breakthrough for drug discovery and biotech. 🔹 SSI’s $1B Investment 💰🤯 – Secured funding to develop safe AI systems beyond human intelligence, focusing on responsible advancements in AGI. 🔹 Anthropic’s Claude for Enterprise 🏢👨💻 – A powerful 500K-token context AI model with GitHub integration, designed for more efficient enterprise workflows. 🔹 PNDbotics’ Adam 🦿🔍 – A humanoid robot with advanced reasoning and learning capabilities, pushing the boundaries of AI-powered robotics. So interesting to see such advancements #BeyondTheModel Any I've missed? Beyond the Model 🥰 😁

Google just claimed its AI ‘Co Scientist’ solved in days what took scientists over a decade. But did it really? 🧬 There’s no doubt AI-assisted science has the potential for massive breakthroughs—arguably more than any other field. And this is an impressive step forward. But let’s be clear: the 10-year challenge wasn’t in formulating the hypothesis—it was in experimentally validating the results. That distinction matters. A tool that rapidly generates hypotheses and collates research is valuable. But the bottleneck in science isn’t just idea generation—it’s proving those ideas in the lab. I do however feel optimistic about our chances here. We need more of this work. So, this is a huge step in the right direction. If AI can generate hypotheses faster than we can test them, what does that mean for the future of science? https://lnkd.in/ecz3Gw4a #beyondthemodel #artificialintelligence #machinelearning

I genuinely believe the next 5 / 10 years will bring change so transformational, it's hard to realistically contemplate what they will be☠️🚀 And between DeepSeek AI's R1 and OpenAI's Stargate announcement, it's already been a fairly crazy start to the year 😅 The question I'm seeing a lot of people ask is: Are we optimizing our way out of the AI arms race, or are we stepping on the gas? 👀 IMO, we're stepping on the gas 😮💨 Jevons Paradox states that as technological improvements make a resource more efficient, its overall consumption often increases rather than decreases (Shoutout to Satya Nadella). As training and inference costs drop, AI adoption will accelerate, embedding itself even deeper into industries that haven’t yet fully leveraged its potential. The result? More demand for compute, not less 💥🔥 Which is simple, really. You make something objectively useful more efficient and more people will use it. Domains that have historically been less accessible to AI will now be reaping the rewards. And I cannot wait. LFG 💥😮💨🚀 #beyondthemodel #machinelearning #artificialintelligence