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Very happy to support this on behalf of Google. We have long benefited from open source, are big contributors to open source and in fact have consistently made open weights models with Gemma available from @GoogleDeepMind @demishassabis . Onwards!

Anthropic and Andrew Ng built an agent that uses 90% fewer tokens from scratch: they dropped the entire book of Frankenstein into a prompt - 108,000 tokens asked one question the input dropped from 108,000 tokens to 11 here's how: step 1 → put everything that never changes at the top - tools, then system, then docs step 2 → mark where the static part ends. everything above it gets cached step 3 → one stray space breaks it - and you pay full price again step 4 → the cache dies in 5 min - every read resets the clock step 5 → cached tokens don't count against your rate limits. free headroom most people never touch this - it pays for itself on day one watch & bookmark - this 1-hour brilliant course ↓

Una profesora de ciencias de la computación de stanford acaba de revelar cómo dominar los procesos de decisión de markov. 83 minutos. Gratis. Directo de stanford. Esto es lo que cubren: • Problemas de búsqueda vs. entornos estocásticos • Evaluación de políticas y matemáticas de recurrencia de valores Q • Ingeniería del bucle de iteración de valores • Límites de convergencia en grafos cíclicos Guarda y míralo hoy. Te lo recomiendo.

ANTHROPIC'S LEAD ENGINEER MAKING $2.2M/YEAR LEAKED THE COMPANY'S INTERNAL OBSIDIAN BRAIN - AND GOT FIRED THE SAME DAY 00:07 a live neural network with 21 inputs, 10+ hidden layers, ReLU activation - thousands of connections firing in real time as the system processes every decision first layer 64 neurons, second 37, then 22 - all the way to outputs - this is not a diagram, this is the living brain of the company thinking right now 8,893 nodes, 4,729 links - a knowledge graph so dense it looks like a galaxy when you zoom out Marginalia Collection, Glossary Backbone, Master Index with 9,000+ documents - every cluster its own universe of connected knowledge the company building the most powerful AI in the world uses an Obsidian graph to manage its own innovations - and now it's all public he made $2.2M/year to know this - you got it for fre

Ancient civilization used to call this cable management.

🚨 A GitHub repository is promoting a scanner for CVE-2026-48907, a critical Joomla Content Editor vulnerability affecting JCE versions before 2.9.99.5. github.com/gh1mau/masta-c… Advertised capabilities include: • Joomla and JCE fingerprinting • Version checks for vulnerable JCE installs • WAF detection • Bulk target scanning • Threaded scanning support • Proxy support • Terminal result cards • Excel report generation • Intrusive proof-of-concept verification • Cleanup reminders for uploaded test files

@UC_Assist my cleaning guy came late, asked me to cancel the booking saying it'll upgrade and there was no opinion to upgrade so he started picking his bag and saying someone else would come. This is a new type of game started by these guys, I needed the cleaning urgent.

Neuroscientists are scared of this 5000 year old breathing pattern.

Over the weekend... I built an open-source Palantir! 🚀 It visualizes these: - Country conflict intelligence - Military bases locations - Near real-time threat mapping - Deep research/Intel on entities like Hezbollah or any groups Learn wars, conflicts, military bases and history of nations with the Global threat map. 🧙 🔗 globalthreatmap.up.railway.app

Opus 4.5 + three.js + mediapipe = Absolute Cinema

Name me a better subscription than Gemini for 20 dollars. You get: 1. Gemini latest model access 2. NotebookLM 3. Very generous rate limits in Antigravity 4. 2 TB cloud storage 5. Gemini CLI, Jules and Code Assist 6. Gemini in Gmail, Docs, Vids, and more 7. 1,000 monthly AI credits.

Greed

@sama Fuck you waste of computers

here is a little hint: 🎁

Software is getting cheaper then free Software markets crash People build free Softwares for operations People become more productive

get in debt if you must, but build a home-lab; your children will thank you for it.

be a polymath engineer. specialize enough to build. generalize enough to see. the edge comes from stacking domains that don’t normally sit together: > control theory + embedded > mechanics + algorithms > electronics + systems thinking > physics + intuition > design + engineering > math + manufacturing > biology + robotics > materials + computation every added discipline expands your solution space. every cross-connection increases your leverage. a polymath engineer isn’t someone who “knows everything.” it’s someone who refuses to operate inside one mental box. you read widely, think structurally, and build across layers of reality; from first principles to final product. the world is converging: robotics, energy, autonomy, infrastructure, AI. the winners won’t be narrow. they’ll be integrators. they’ll be translators between domains. they’ll be polymath engineers.

Accurate

All you need to build a million dollar company