Ramsés V. Morales retweeted
Let me try to state this differently - AI now performs the transitive closure of what we know (or very close to knowing). So, in many cases, it would feel like we were just a blip away from doing it ourselves. I have experienced this feeling several times by now.
> "Neither Fable 5.1 nor Opus 5.5 could refute the conjectures without the hint of our approach …. Now this tells me that our 2023 write-up was useful"
Or it tells you that the models you used are weaker in Math. Here is ChatGPT Astra refuting all 3 conjectures in ~45 minutes given only Coppersmiths’ 1982 paper, and van den Brand, Nanongkai, and Saranurak's 2019 paper: chatgpt.com/share/6acee44d-d…
The underlying impulse is very human, I understand why having the right idea on the shelf since 2023 and abandoning it is frustrating. But hinting that the models couldn't have done it without our "human insight" is just pure copium at this point and does no service for anyone.
Ramsés V. Morales retweeted
You may have already heard, but the core SQLite team is working on Vec1 — native vector search (ANN) in SQLite.
It supports Euclidean (L2) and cosine distances, and uses SIMD for fast vector operations.
Vec1 is already feature-complete. The only things left are improving test coverage and making some optimizations.
sqlite.org/vec1
From: "LABELS OVERRIDE DEFINITIONS IN JEV-STYLE TYPED DECISION MODELS:"
arxiv.org/pdf/2610.02586
"[...] ask one question twice, changing only the option labels and leaving the definitions alone, and compare the returned distributions. If they differ, the labels are affecting the decision. Second, if they differ and the rule you care about lives in the definitions rather than in the class names, rename the options to A, B and so on [...]"
Great to see this. One more alternative for everyone to run models at home.
Introducing Core, The Personal Al Computer
The most powerful technology humanity has built should belong to you
Order today: ghost.ai
```
[...] it is surprising that the discourse from many developing AI is so filled with doom. I do not understand why anyone who believes that AI will eliminate most jobs and much of humanity's relevance would rush to build that future. The notion that AI is so dangerous that the only safe path is an extreme concentration of power seems inherently problematic. Historically, hoping that an absolute power will benevolently provide for humanity if sufficiently enlightened has not led to safe or positive outcomes.
```
I believe everyone should have access to superintelligence, and I wrote a long piece about Meta's philosophy and values for building a positive future for everyone. meta.com/thefutureisforevery…
Ramsés V. Morales retweeted
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
images.nvidia.com/pdf/Open-W…
🚀🚀🚀
Welcome to FriendliAI, Brian Cho! 🎉
Joining as Director of Engineering with 6 years at @Meta and 4 at @AptosLabs under his belt — right as our engineering team scales to match the pace of the agent era.🚀
Ramsés V. Morales retweeted
The fact that Agatha Christie had access to ChatGPT is undeniable proof that time travel is real
Ramsés V. Morales retweeted
I’ve always found people who bristle at “American exceptionalism” kind of… weird. Not because I lack self-awareness — I’ve spent my career cataloging every way this country fails to live up to its own rules. But that’s exactly why I love it so damn much. We built a system designed to be shamed by its own founding documents, and it still delivered one of the most spectacular, world-altering runs in human history. A genuine force for human flourishing.
I also found the argument against American exceptionalism to be historically illiterate. Here’s a sample of what we were first at:
• The first large-scale democratic republic in human history — not a city-state, not a monarchy with a parliament bolted on, but a bold continental experiment in self-rule, popular sovereignty, and ordered liberty.
• A written Constitution (1789) with separation of powers and checks & balances — still the oldest national constitution in force anywhere.
• The Bill of Rights (1791): the first time a nation wrote “the government cannot touch these” into supreme law and actually meant it. A dare the world copied — from later rights charters to the Universal Declaration of Human Rights.
• Public land-grant universities and mass higher education (Morrill Act), opening college to ordinary people no aristocracy would have let near the gates. (but don’t get me started about what happened after we started. Massively federally funding it.)
• Kitty Hawk, 1903 — first controlled powered flight.
• The Moon, 1969 — still the only ones who’ve been there.
• The world’s largest economy since ~1890, powering unprecedented prosperity through grit and genius.
• The assembly line, skyscraper, transistor, personal computer, ARPANET — the backbone of the modern world.
• Telephone, phonograph, GPS — connecting and powering daily life.
• Surgical anesthesia, polio vaccine — saving and transforming millions of lives.
• Jazz, blues, rock ‘n’ roll — brand new American art forms that conquered the globe.
• Hollywood’s dreams, blue jeans, bourbon, and a culture so open a kid like me could devour sushi, burritos, stuffed cabbage, and tabouli in the same week and rightfully think of it all as American.
That’s the part that fills me with genuine love and pride: not just the power or the wins, but the appetite for freedom, creativity, and reinvention. The audacity to say “We the People” and keep trying to live up to it.
What do you love most about this truly exceptional country? 🇺🇸
Ramsés V. Morales retweeted
As believers of open research, we are disappointed to see Anthropic silently degrading Fable 5 for AI development
"Any topic related to building pretraining pipelines, distributed training infrastructure, or ML accelerator design... may have limited effectiveness through Claude via methods such as prompt modification, steering vectors, or parameter-efficient fine-tuning."
Not only do they get to decide what you use LLMs for in research, but this also enables them to silently intervene in your research without you knowing.
This sets a dangerous precedent. If a model refuses openly, users can understand the boundary. If a model falls back to another model, users can still evaluate the difference. But if a model silently modifies or weakens its own answers while still pretending to help, researchers lose the ability to know whether a failed result came from their own idea, their implementation, or an invisible intervention by the model provider.
That is not safety. Safety policies should be transparent, auditable, and user-visible.
On top of that, the people most harmed by this are not the largest labs with massive teams and proprietary infrastructure. It is the independent researchers, academic groups, startups, and open-source builders who rely on public tools to compete, innovate, and pioneer AI for everyone else.
Welcome to DS4, a specialized inference engine for DeepSeek v4 Flash. github.com/antirez/ds4
This project would have been impossible without the existence of llama.cpp and GGML and the work of @ggerganov and all the other contributors. Thanks!
Ramsés V. Morales retweeted
New work with @AlecRad and @DavidDuvenaud:
Have you ever dreamed of talking to someone from the past? Introducing talkie, a 13B model trained only on pre-1931 text.
Vintage models should help us to understand how LMs generalize (e.g., can we teach talkie to code?). Thread:
Ramsés V. Morales retweeted
That's us! 🌍
The Artemis II crew captured beautiful, high-resolution images of our home planet during their journey to the Moon. As @Astro_Christina put it: "You guys look great."

ALT A full disk image of Earth, as seen from the Orion capsule. The planet is a pale blue, swirling with white clouds and glowing slightly lighter blue in place from reflected light. From about 8 to 9 o'clock, a large brown landmass is Africa, with the Iberian peninsula twinkling with lights just where the planet curves. At the 1 o'clock spot, aurora glow in a thin green glow, just barely separated from the planet's surface. Earth is set against the black of space. Credit: NASA/Reid Wiseman

























