Ramon Astudillo reposted
well, fuck www.anthropic.com/news/fable-m...
Who's Who of AI
Ramon Astudillo
Principal Research Scientist at IBM Research AI in New York. Speech, Formal/Natural Language Processing. Currently LLM post-training, structured SDG and RL. Opinions my own and non stationary.
ramon.astudillo.com
What they're sharing
Statement on the US government directive to suspend access to Fable 5 and Mythos 5 anthropic.com
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arXiv.org e-Print archive arxiv.org
Introducing Claude Tag anthropic.com
Introducing Gemma 4 12B: a unified, encoder-free multimodal model blog.google
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Gemini 3.5 Flash: more expensive, but Google plan to use it for everything simonwillison.net
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Comment on `On computing quantum waves exactly from classical action' arxiv.org
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The mysterious Hy3 LLM is topping OpenRouter Model Rankings by a large margin minimaxir.com
Notes from the AI Now Summit by Mistral koenvangilst.nl
A24 Films succumbs to the AI darkside boingboing.net
Anthropic Says Alibaba-Linked Operators Used 25,000 Accounts to Mine Claude for Qwen runtimewire.com
Articles & links
👆 A paranoid LLM is ofc worse. This is just tuning a prior belief up or down. I guess you could self distill additional context for the train data e.g. "you know arxiv.org is such and such" or "this is an unknown source" with the hope it generalises (and also injecting some ba…
AI Weekly's analysis
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- arXiv is a free, open-access archive holding nearly 2.4 million scholarly articles across nine major fields.
- None of the materials on arXiv are peer-reviewed by the archive itself, a structural fact affecting how preprints should be read.
- The archive runs as a nonprofit through Cornell University, backed by the Simons Foundation, member institutions, and contributors.
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Claude tag is not a minor change. It looks like the main attempt at redefining the UI to allow it to expand to other verticals like finance, HR, and in general PC work far away from command line and across multiple heterogenous Apps. It still depends on API access www.anthropi…
Ramon Astudillo reposted
12B Gemma 4!!! It's neat on its own, image and audio in, but architecturally it's super cool: instead of a visual or audio encoders, they directly train the model on vision and sound, with images using a "lightweight embedding module" and audio 'projected into the same space a…
Ramon Astudillo reposted
My notes on Gemini 3.5 Flash - 3x the price of Gemini 3 Flash but Google are planning to use it for many of their own products simonwillison.net/2026/May/19/...
Ramon Astudillo reposted
I saw an X post by @hossenfelder.bsky.social about this comment that noted a foundational math error in a recent paper that had already passed peer review in the prestigious Proceedings of the Royal Society A. It seemed like a good opportunity to test if Gemini would find the …
new mystery model minimaxir.com/2026/05/open...
if you are wondering about Mistral koenvangilst.nl/lab/mistral-...
>[A24] has accepted a $75 million dollar investment from Google to partner up on the creation of new film making tools. Google is very strong in image/video gen, but has no clear monetization route. Maybe they are going B2B with video generation? boingboing.net/2026/06/23/a...
25k accounts. How many tokens per day is that runtimewire.com/article/anth...
Their own posts
Recent commentary
Competing against a local gpt-oss-120b 10 sample ensemble at paper understanding and, man, it's not looking great for humans
You can see how LLMs still lack a lot of implicit context. For example, when reading a document, they are bad at guessing if the document can be trustworthy. They read an arxiv paper with grandiose unsupported claims and they repeat them to you as if it were its own judgment. 👇
I always experience this strong feeling of rejection every time I hear an economist make a model based claim. This is since my first (and only) macro class 25y back. I am sure this is a mix of ignorance and ML bias, but I would really want to understand what's going on 👇
There is this new meme out there that is something like "AI costs more than human employees". Seems like totally the wrong take. It costs much less for the things they can do, but you can't run an org w/o human employees (for now). 👇
What's up with OpenAI mixing Spanish and Portuguese for 5.6 names. Man, not a single naming goes right 🤣
Now there are three levels of alerts in generative code: errors, warnings and errors and warnings that you pass to the LLM agent and don't bother about.
Got reminded about OpenAI 5 and now I see much more timelines with decent probability mass, that are pretty far from where we are now. We could call them the "no Radford" timelines.
An LLM being bad at an underspecified problem or consuming lots of tokens seems like a signal of benchmaxing
5y ago Demerzel would have felt like a completely wrong portrayal of an AI. Now it somehow feels pretty realistic.
It seems the suspected 5T models from Anthropic and OpenAI are kinda close in cybersec skills?
Their network
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