Sergio ‘shadown’ Alvarez

@awnihannun Congrats! What will happen to MLX?

I joined Anthropic as a member of the technical staff. Excited to work on frontier modeling at a place with unwavering values and a generational mission.

Yep

🚨BREAKING: Anthropic just dropped free courses to master AI with certificates. No tuition. No waitlist. No BS. Here're 10 courses that will replace a $50K degree👇

CLIs are super exciting precisely because they are a "legacy" technology, which means AI agents can natively and easily use them, combine them, interact with them via the entire terminal toolkit. E.g ask your Claude/Codex agent to install this new Polymarket CLI and ask for any arbitrary dashboards or interfaces or logic. The agents will build it for you. Install the Github CLI too and you can ask them to navigate the repo, see issues, PRs, discussions, even the code itself. Example: Claude built this terminal dashboard in ~3 minutes, of the highest volume polymarkets and the 24hr change. Or you can make it a web app or whatever you want. Even more powerful when you use it as a module of bigger pipelines. If you have any kind of product or service think: can agents access and use them? - are your legacy docs (for humans) at least exportable in markdown? - have you written Skills for your product? - can your product/service be usable via CLI? Or MCP? - ... It's 2026. Build. For. Agents.

I'm one of the most advanced users of OpenClaw. OpenClaw + GPT5.3 Codex + Opus 4.6 has been the trifecta that changed everything. I made a video going over everything I'm doing with these tools. Learn these tools, stay ahead. Watch this video right now. 0:00 Intro 1:02 Overview 4:17 Sponsor 5:12 Personal CRM 7:11 Knowledge Base 8:30 Video Idea Pipeline 11:09 Twitter/X Search 12:47 Analytics Tracker 13:33 Data Review 15:34 HubSpot 16:13 Humanizer 16:52 Image/Video Generation 18:22 To-Do List 19:37 Usage Tracker (Saves Money) 20:45 Services 21:25 Automations 22:42 Backup 23:30 Memory 24:06 Building OpenClaw 25:22 Updating Files

Clawdbot (now Moltbot) shows how fast a killer AI agent idea can turn into a security mess. The perfect example of a brilliant idea with zero security foresight. Lessons learned: • Agentic AI is game-changing, but secure-by-default is non-negotiable. • Hype moves fast, security must move faster.

New MIT + ETH Zurich + Improbable AI lab paper on scalable, low-overhead continual learning. Shows Self-Distillation Fine-Tuning improves accuracy from 80% to 89% on knowledge acquisition tasks while reducing catastrophic forgetting. It uses no extra parameters or reward models, works via in-context prompting, --- arxiv .org/pdf/2601.19897v1

@LiuGang8964 @callmeMizuko Nice! I didn’t think about different sizes and alignment.

@callmeMizuko 11^758

@callmeMizuko 7581 ?

Terence Tao predicts the end of math gatekeeping with AI. AI proof assistants are smashing the technical barriers that keep amateurs out. By automating verification, AI empowers anyone to contribute rigorous pro-level Math. The Ivory Tower is falling

🇨🇳 China put 256 GW of new solar on the grid in H1-25, while the whole world added 380 GW in that same window, so China alone was 67% of global additions. For AI's progress, electricity abundance is becoming the absolute key competitive variable And now 6 months of solar additions in China > decades of solar additions in the US.

Lo importante siempre lo miras en TN @todonoticias 🙌

🚨 BREAKING: DeepSeek just dropped a fundamental improvement in Transformer architecture CEO Wenfeng Liang on the author list THE WHALE IS BACK 🐋

🚨 BREAKING: China's new opensource code model beats Claude Sonnet 4.5 & GPT 5.1 despite way fewer params. SWE-Bench Verified (81.4%), BigCodeBench (49.9%), LiveCodeBench v6 (81.1%) - with just 40B-param model. IQuest-Coder from Quest Research, backed by China’s quant hedge fund giant UBIQUANT. UBIQUANT has leaned hard into AI for years, running teams like AILab, DataLab, and Waterdrop Lab. As of Q3 2025, AUM sat at CNY 70–80B ($10.01–11.43B), with about 24% average returns from Jan to Nov 2025, and CNY 463M ($66.18M) paid out in dividends. Bifurcated post-training delivers two specialized variants—Thinking models (utilizing reasoning-driven RL for complex problem-solving) and Instruct models (optimized for general coding assistance and instruction-following). Efficient Architecture: The IQuest-Coder-V1-Loop variant introduces a recurrent mechanism that optimizes the trade-off between model capacity and deployment footprint. Native Long Context: All models natively support up to 128K tokens without requiring additional scaling techniques.

@JonatanViale La tobillera la sigue teniendo puesta?

La presidiaria seguirá internada en el Otamendi.

@eurofounder I assume you are German, living in Germany. How old was your son when you made that decision on his behalf?

Last year my son got a job offer from OpenAI in San Francisco $450,000 total compensation While my whole family was celebrating, I sat in my basement analyzing the offer Something wasn't clicking for me First of all, $450k is an impossible amount to make Will my son be required to perform illegal activities to earn that salary? But that's not the worst I looked at pension contributions "We offer a 401k match" I had never heard of a 401k I did some research and nearly vomited It's a retirement account that depends on the stock market His entire future would depend on gambling I called the OpenAI recruiter on behalf of my son and declined the offer Fast forward a year, my son now works at SAP making a crisp €47,000 a year He has 32 days paid vacation and his pension is guaranteed by the state My wife keeps saying I "threw his life away" She could not be more wrong I actually saved his life from being destroyed by America

🚀 Launching DeepSeek-V3.2 & DeepSeek-V3.2-Speciale — Reasoning-first models built for agents! 🔹 DeepSeek-V3.2: Official successor to V3.2-Exp. Now live on App, Web & API. 🔹 DeepSeek-V3.2-Speciale: Pushing the boundaries of reasoning capabilities. API-only for now. 📄 Tech report: huggingface.co/deepseek-ai/De… 1/n

must-read if you like GPU internals

@MayraDo57466678 Antes que nada aclaro que lo único de zurdo que tengo es la escritura. El problema con Cuba es que -la gente- no puede comercializar (vender) hacia otros países y ganar dinero. Comprar si. Eso obliga a empobrecer cada vez más.

Este video es una joya. Explicación detallada para zurdos, que siguen creyendo en el cuento del supuesto "bloqueo" Guárdalo y comparte. 👇🏿

I’m starting to get into a habit of reading everything (blogs, articles, book chapters,…) with LLMs. Usually pass 1 is manual, then pass 2 “explain/summarize”, pass 3 Q&A. I usually end up with a better/deeper understanding than if I moved on. Growing to among top use cases. On the flip side, if you’re a writer trying to explain/communicate something, we may increasingly see less of a mindset of “I’m writing this for another human” and more “I’m writing this for an LLM”. Because once an LLM “gets it”, it can then target, personalize and serve the idea to its user.