Polo M (slow/steady) @traintest_split
Research Scientist. AI, machine learning and tech policy. after hours ai takes. passionate about data security, integrity, and cogsec Joined January 2023-
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ReasoningBank: memory for self-evolving LLM agents • Distills strategies from both successes & failures • Enables agents to learn, reuse, and improve over time • Outperforms prior memory methods on web & SWE tasks (+34.2% eff., –16% steps)
sonnet 4.5 automatically removes outdated tool calls and results from the context window as it nears the token limit
competitive excel level next
Anthropic has removed a large amount of content from the Claude.ai system prompt for Sonnet 4.5. Notably, all decrees about how Claude must (not) talk about its consciousness, preferences, etc have been removed. Some other parts that were likely perceived as…
When our team tried Sonnet 4.5, we realized it was worth building a whole new version of Devin around it. This model behaves very differently! The team wrote up some of our lessons
BREAKING: Governor @GavinNewsom just signed our groundbreaking AI bill, SB 53, to promote AI innovation (creating a public cloud called CalCompute), require transparency around AI lab safety practices & protect whistleblowers at AI labs who report risk of catastrophic harm. 🧵
LoRA makes fine-tuning more accessible, but it's unclear how it compares to full fine-tuning. We find that the performance often matches closely---more often than you might expect. In our latest Connectionism post, we share our experimental results and recommendations for LoRA.…
Prior to the release of Claude Sonnet 4.5, we conducted a white-box audit of the model, applying interpretability techniques to “read the model’s mind” in order to validate its reliability and alignment. This was the first such audit on a frontier LLM, to our knowledge. (1/15)
We wrote about how Agentic purchasing would be the primary way that OpenAI would monetize free users on August 13th on GPT-5 set the stage for monetization semianalysis.com/2025/08/13/gpt… A bit over a month later - and the future is here. Today launching with Etsy and Shopify. It's…
We wrote about how Agentic purchasing would be the primary way that OpenAI would monetize free users on August 13th on GPT-5 set the stage for monetization semianalysis.com/2025/08/13/gpt… A bit over a month later - and the future is here. Today launching with Etsy and Shopify. It's…
Unfortunately, we're now at the point where new models have really high eval awareness. For every alignment eval score I see, I now add a mental asterisk: *the model could have also just realized it's being evaluated, who knows. And I think that's concerning!
Unfortunately, we're now at the point where new models have really high eval awareness. For every alignment eval score I see, I now add a mental asterisk: *the model could have also just realized it's being evaluated, who knows. And I think that's concerning!
How is it possible that Claude Sonnet 4.5 is able to work for 30 hours to build an app like Slack?! The system prompts have been leaked and Sonnet 4.5's reveals its secret sauce! Here’s how the prompt enables Sonnet 4.5 to autonomously grind out something…
Everyone talking about 4.5 being great at coding, but I'm taking way more notice of that huge increase in computer use (OSWorld) score 👀 That's a huge increase over SOTA and I don't think we've seen anything similarly good at OSWorld from others? Claude Agents coming soon?
Everyone talking about 4.5 being great at coding, but I'm taking way more notice of that huge increase in computer use (OSWorld) score 👀 That's a huge increase over SOTA and I don't think we've seen anything similarly good at OSWorld from others? Claude Agents coming soon?
From the lab to real life is an easily underestimated timeline
From the lab to real life is an easily underestimated timeline
More and more studies are comparing AI to the brain - from memory and reading to vision and sensorimotor reactions. And the findings often converge: - LLMs replicate the «cognitive sins» of memory - false memories, list-length effects, fan-effect - During reading, large models’…
More and more studies are comparing AI to the brain - from memory and reading to vision and sensorimotor reactions. And the findings often converge: - LLMs replicate the «cognitive sins» of memory - false memories, list-length effects, fan-effect - During reading, large models’…
I believe this down to my bones I’m 42. Let’s say I have 30 years left. I want to spend those years building cathedrals of knowledge and progress. I want to be in the control room when we land humans on Mars. I want to be in the lab when a team realizes they’ve cured Alzheimer’s
I believe this down to my bones I’m 42. Let’s say I have 30 years left. I want to spend those years building cathedrals of knowledge and progress. I want to be in the control room when we land humans on Mars. I want to be in the lab when a team realizes they’ve cured Alzheimer’s
I've just drafted a new blogpost "The Bitter Lesson's Bitter Lesson" Richard Sutton and Dwarkesh discussed the Bitter Lesson, where Richard argued that babies and animals don’t learn through imitation, so state-of-the-art LLMs are pursuing the wrong path by imitating humans…
I've just drafted a new blogpost "The Bitter Lesson's Bitter Lesson" Richard Sutton and Dwarkesh discussed the Bitter Lesson, where Richard argued that babies and animals don’t learn through imitation, so state-of-the-art LLMs are pursuing the wrong path by imitating humans… https://t.co/HEQZha3vQp
OpenAI's recent benchmark suggests that AIs are nearing human-level economic capability. But the best indicator of utility is usage. OpenAI also noted that since GPT-4's launch, usage by early adopters has only grown 1.4x. The actual usefulness isn't increasing that sharply.
OpenAI's recent benchmark suggests that AIs are nearing human-level economic capability. But the best indicator of utility is usage. OpenAI also noted that since GPT-4's launch, usage by early adopters has only grown 1.4x. The actual usefulness isn't increasing that sharply. https://t.co/vvxrNUY6KB
Not to get to conspiratorial but a Chinese origin bio threat (lanternflies) that eats major US export crops and overpopulates quickly past US style federated government efforts to stop it, but where the CCP’s centralized pest control has been effective, sure seems fishy
50% success at tasks mid-2026 isnt good enough for many industries that demand 90% success over multiple tasks. It’s more important to have constant success at shorter tasks than day long reasoning chains in many fields.
I would contest the part on noone catching up - SLMs are just better for some tasks, as are some more efficient models. Much like evolution, in some environmental niches smaller simpler intelligences can vastly outcompete. Mosquito models will sometimes defeat SOTA
I would contest the part on noone catching up - SLMs are just better for some tasks, as are some more efficient models. Much like evolution, in some environmental niches smaller simpler intelligences can vastly outcompete. Mosquito models will sometimes defeat SOTA

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