in the US this would be called racist and get people fired outside the US this is what culture sharing looks like and it’s awesome

Twenty years ago, climate denial was a problem of the right. Today, AI denial is a problem of the left, and the consequences could be even more disastrous. My new video essay.

Veiem per primera vegada la torre de Jesucrist il·luminada! L'espectacle de llum iniciat des de la base fins a la il·luminació de la creu ha culminat amb una composició de llums guiats per drons, que han dibuixat la figura Gaudí i la frase «primer l'amor, després la tècnica».

Meet DiffusionGemma! An experimental open model that explores a fast approach to text generation, released under an Apache 2.0 license. Moving beyond sequential, token-by-token processes to generate entire blocks of text simultaneously. Here’s what’s new with DiffusionGemma: 👇

Lo que se hizo en Zapopan merece reconocimiento. Más de 250 mujeres de Etzatlán tejieron una obra monumental que hoy luce rumbo al Mundial 2026. Trabajo, talento, identidad y tradición mexicana. Quedó espectacular. Felicidades a quienes hicieron posible este proyecto.

"Evolve your repo, not just your agent." Self-evolving repository (SEPO) is a fun idea that I’ve been exploring recently. @sepoagent turns any GitHub repo into a shared workspace for humans and coding agents.

Releasing vui an open source voice mode 300M TTS model Runs on a single consumer gpu / apple sillicon Context aware speech 6 minutes of context

Introducing MiniMax M3: The First Open-Weights Model to Combine Three Frontier Capabilities - Coding & Agentic Frontier: 59.0% SWE-Bench Pro, 66.0% Terminal Bench 2.1, 34.8% SWE-fficiency, 28.8% KernelBench Hard, 74.2% MCP Atlas - MiniMax Sparse Attention scales context to 1M - Natively Multimodal from Step Zero API: platform.minimax.io Token Plan: platform.minimax.io/subscrib… 🚀New! MiniMax Code: code.minimax.io Weights & Tech Report in ~10 Days

llama.cpp now has an official website: llama.app Our goal is to make local AI accessible to everyone, and improving the user experience is a big part of that. On the new landing page you’ll find a single-line cross-platform installer. The installation provides a single unified `llama` entrypoint which you can use to run/serve models and interface with 3rd-party agentic applications. While oriented towards simplified user experience, the new `llama` application also provides all the advanced functionality of the existing llama.cpp tooling with which experienced users are already familiar. Also note that all GGUF models that you might have already downloaded with llama.cpp in the past will be automatically available to use without downloading again (they are stored in the common HF cache on your machine). We have many improvements in the pipeline both at the UX and at the engine level and we plan to iteratively ship new things over the coming months. One of the main focuses will be seamless integration with local-friendly 3rd-party agents (such as Pi). In the meantime, we’ll continue to listen for feedback from the community and adjust accordingly, so keep letting us know what you think and need.

CEOs are uniquely prone to AI psychosis because they’re sufficiently distant from the last mile of work that still has to happen to generate most value with AI. So when they play with AI, they see the happy path results, often not considering the next 10 or 20 things that have to happen to get sustainable results from agents. “Look I made this awesome product prototype”. Yes but you didn’t have to review the code before it went into production and fix a bunch of issues. “Look I generated a contract”. Yes but you didn’t verify all the terms before it goes out to the counterparty and didn’t have to wire up all the past contracts to work with. The best thing you can do as a CEO is to use AI a *ton* to figure out the real implications of agents in the enterprise, and come out the other side with an appreciation for both the upside and the real work that goes into them.

Given how much of the original "bottle of water per generated email" water estimate came from guesses at the architecture of GPT-4, it would be very much in @OpenAI's interest to publish the architecture of that now-retired, three year old model

En la era de la #InteligenciaArtificial, en la que la dignidad humana corre el riesgo de verse eclipsada por nuevas formas de deshumanización, tenemos el deber urgente de permanecer profundamente humanos, custodiando con amor esa magnífica humanidad que se nos ha dado y revelado en plenitud en Cristo, y que ninguna máquina podrá jamás sustituir en su esplendor. #MagnificaHumanitas vatican.va/content/leo-xiv/e…

Information Retrieval is about making knowledge accessible. Late Interaction is the best way to do that today. But now that we have a new kind of users, it's time to zoom out so we can plan the future of retrieval. I gave a talk about this at @ir_tsukuba docs.google.com/presentation…

Cool talk on multi-vector retrieval, why it beats single vector methods, and why it's hard to use in practice. 🧵on what's next (1/n):

Here’s a key line in this mythos update. This is precisely an example of why engineers don’t go away, ever. We’ve made it far easier to create and find security issues, which means the new bottleneck is our ability to actually review, respond to, and fix the issues. Far from AI magically solving all of this, there still is major triage work and human judgment required to do the follow on work to actually protect systems. As a result, we’re about to enter a security engineer boom. Jevons paradox all over again.

Bragging about how much software you’re shipping with AI is like holding down the shutter button and bragging about how many photos you took.

How to VibeMax projects: Run your agents in your root directory. Example how I'm organising mine. /root |__/projects |__/research |__/resources |__/content | AGENTS.md - Organises context - Provides holistic understanding - Easier to apply fixes from 1 project to another

Apparently my @aiDotEngineer workshop made it to people's @perplexity_ai news feeds. Watch the full thing on YouTube: youtube.com/watch?v=ynJyIKwj… GitHub repo for code and slides: github.com/iamleonie/worksho… Thanks to Takatoh for the screenshot 🩵

ERNIE 5.1 is here 🚀 ERNIE 5.1 significantly reduces pretraining cost while compressing total parameters to ~1/3 and activated parameters to ~1/2 — using only ~6% of the pretraining cost compared to models at similar scale, while achieving leading performance in its class. 💡Key highlights: 1/ Strong agentic performance approaching leading frontier models. ERNIE 5.1 surpasses DeepSeek-V4-Pro on both τ3-bench and SpreadsheetBench-Verified. 2/ Strong world knowledge and creative writing capabilities, with GPQA and MMLU-Pro performance approaching leading closed-source models, and creative writing ability nearing Gemini 3.1 Pro. 3/ Frontier-level reasoning performance. ERNIE 5.1 scores 99.6 on the challenging AIME26 benchmark with tools, second only to Gemini 3.1 Pro. 4/ Deep search capability. On May 9, ERNIE 5.1 ranked #4 globally and #1 among Chinese models on the Arena Search leaderboard with a score of 1223. ERNIE 5.1 is now available on ERNIE and the Baidu AI Studio Model Playground: 👉ernie.baidu.com 👉aistudio.baidu.com 👉ernie.baidu.com/blog

Is TanStack replacing React itself? No. But "redact" is an interesting experiment in seeing how much overhead is currently in React, and also pushing the limits of agentic coding. tannerlinsley.com/posts/proj… (Personally I think it should have been called freeact, but that's just me)