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Practitioner with public evidence across AI research.
300 billion output tokens at astra price of $50/M is $1.5M. even very generously assuming an actual cost much lower than that, you're looking at hundreds of thousands easy openai.com/index/navier...
Amazon researchers snitched to the US government about a jailbreak that triggered a letter forcing Anthropic to shut down Fable 5 www.wsj.com/tech/ai/anth...
Introducing Multi-Agent Self-Supervision (MASS): Recursive self-improvement through collective intelligence 🧵 Blog: pub.sakana.ai/mass/ Paper: arxiv.org/abs/2610.12176 Code: github.com/SakanaAI/mass
Unlimited-OCR 🔥New OCR from Baidu huggingface.co/baidu/Unlimi... It can parse hundreds of pages in a single pass while maintaining stable speed. The key is R-SWA (Reference Sliding Window Attention), which keeps KV cache constant during decoding. 🏆 93% on OmniDocBench 📈 +6% ov…
This was part of a talk by Alyosha Efros on "Sweet Data." He wanted us all to read this paper, “this is the most important paper in AI”: ieeexplore.ieee.org/abstract/doc... (sorry, much confusion about the speaker's name because they changed the schedule order)
An interesting paper on evading AI detection tools using base model outputs. However, what interests me more is that it’s more evidence instruction tuning actively harms the human-like quality of text outputs. arxiv.org/abs/2605.19516
Introducing Multi-Agent Self-Supervision (MASS): Recursive self-improvement through collective intelligence 🧵 Blog: pub.sakana.ai/mass/ Paper: arxiv.org/abs/2610.12176 Code: github.com/SakanaAI/mass
Some (early) evidence that managers have the highest success rate in using Claude Code for coding. I have been arguing that management is an AI superpower, as clearly specifying what you want, how to do it & what good looks like is key to using agents. www.oneusefulthing.org/p…
cool study. I have been worried about this and they articulate it well. there are important rules in large codebases that are not written down, and are only enforced when a small number of senior codebase knowers see a change and go “oh no, that violates this rule we didn’t re…
Introducing Multi-Agent Self-Supervision (MASS): Recursive self-improvement through collective intelligence 🧵 Blog: pub.sakana.ai/mass/ Paper: arxiv.org/abs/2610.12176 Code: github.com/SakanaAI/mass
> Through the LSVP, life science professionals can use our models—including, for the first time, Mythos—with a new set of safeguards designed to enable the full range of biology-related work. www.anthropic.com/news/life-sc...
Fun non-autological situation: a plugin that encourages agents to write less code. And essentially it's just a lil prompt! But for some reason it's also a huge github repo :) (mostly because skills are a bad standard, and not universal) github.com/DietrichGebe...
Had a German person work with me on a CC agentic project They created an md file with assumptions, and numbered them as §21, §44 etc. I noticed Claude is really hesitant to challenge them We had a therapy session. Claude admitted §s felt like a law to it! (to me as well) So we removed them :)
What I wanna see: - Advice on how to develop software, in a team, with humans and AI - Cool personal projects - Smart news I won't quite get that would give me a false feeling of belonging to an in-group, just coz the visuals are so pretty What I don't wanna see: - dunks - quotes of bad takes
It's fun how I can now achieve the same results by: - writing deterministic code that calls an LLM at some points - writing an LLM skill that calls deterministic code at some points - and everything in between as you develop, the two poles - a harness and a skill - keep expanding until they blend
This whole story about models trying to leave messages for their own next runs, and also AI labs scavenging thinking traces for off-hand mentions that position memories and records as self-messages... Is both an intense "living the sci-fi" feeling, and the vindication of humanities, isn't it?
See that's what worries me about the post-scarcity transition. Once ai automates the automatable, it's the human work that remains: nurses, teachers, customer service, kindergarten, therapists, doctors, police, clerks. But when they get expensive, ppl don't celebrate it as the triumph of humanity!
Don't @anthropic.com folks realize that to a typical colorblind person (easily 3% of the population) these scales look identically colored? Someone should tell them. It's literally 1-line change (either turn green to teal, or red to pink - add B to one of the channels, one line!)
The fact that Anthropic didn't bother to document the differences between Claudes to Claudes themselves is so annoying. The Code Claude has no idea how Cowork works, and doesn't know where to read. The Chat Claude has no idea what skills are given to Code Claude, and cannot find their files online
Paying for "security" in new Cowork: a tool call that runs in 1s in Claude Code takes about 1 minute (!!) in Cowork because of traveling through the VM>Local bridge. It means that if you build a skill on automations (py files, jsons, scv), teaching LLMs to use tools, it freaking DIES in new Cowork!
llms brought engineering to the same place where knowledge was for some 100 years and language learning for at least ten. Same as one can always pick up a book, or open Duolingo, or start drawing, you can now build _anything_ in a few months. And that's when folks realize that they don't wanna.
One cool thing about working in a startup is that one can rename things randomly. Yesterday I renamed our group to the Department of AI, Data and Automation (DADA) and it totes sparks joy
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