ari

@Jihooncrypto It’s as if someone was trying to destroy the U.S. economy

🚨 THE ENTIRE CHIP INDUSTRY IS ABOUT TO SHUT DOWN AND NOBODY IS PANICKING YET No helium. No semiconductors. No phones. No AI. No future. Samsung and SK Hynix just went on HIGH ALERT. Ships carrying helium have stopped moving through the Gulf. Here's how this destroys everything — step by step: → Helium is used to cool semiconductor manufacturing equipment → Without it, chip fabs CANNOT operate → There is NO substitute for helium in this process → Most of the world's helium ships through Gulf routes now under fire → South Korea makes 60% of the world's memory chips → Samsung and SK Hynix supply Apple, Nvidia, Tesla, every AI company on Earth Now watch the domino effect: → Helium stops shipping → Chip fabs slow production within DAYS → Nvidia can't get enough memory chips → AI data centers can't get enough GPUs → Apple can't build iPhones → Tesla can't build cars → Every cloud server, every laptop, every smart device — delayed → $600 BILLION semiconductor industry grinding to a halt This is worse than the 2021 chip shortage. That one was caused by COVID slowing factories. This one is caused by a WAR blocking the raw materials from even reaching the factories. And it's not just helium. It's neon. It's palladium. It's every rare gas that ships through the Gulf and Red Sea. Iran didn't need to fire a single missile at a chip factory. They just had to make the shipping lanes too dangerous to cross. The AI arms race. The chip war with China. The $2 trillion tech rally. All of it depends on a gas that nobody can ship right now. 🚨🚨🚨

@9_THIRTEEN @ABC7 U made my day 🙏

@ABC7 Hey Iran…

#BREAKING: FBI warns California authorities that Iran wants to retaliate for U.S. strike with drone attack on West Coast, according to alert reviewed by ABC News spr.ly/6010B6yjRa

A microscopic view of neurons forming new connections

It's over. Karpathy just open-sourced an autonomous AI researcher that runs 100 experiments while you sleep. You don't write the training code anymore. You write a prompt that tells an AI agent how to think about research. The agent edits the code, trains a small language model for exactly five minutes, checks the score, keeps or discards the result, and loops. All night. No human in the loop. That fixed five-minute clock is the quiet genius. No matter what the agent changes, the network size, the learning rate, the entire architecture, every run gets compared on equal footing. This turns open-ended research into a game with a clear score: - 12 experiments per hour, ~100 overnight - Validation loss measures how well the model predicts unseen text - Lower score wins, everything else is fair game The agent touches one Python file containing the full training recipe. You never open it. Instead, you program a markdown file that shapes the agent's research strategy. Your job becomes programming the programmer, and this unlocks a strange new loop: 1. Agents run real experiments without supervision 2. Prompt quality becomes the bottleneck, not researcher hours 3. Results auto-optimize for your specific hardware 4. Anyone with one GPU can run a research lab overnight The best AI labs won't just have the most compute. They'll have the best instructions for agents who never sleep, never forget a failed experiment, and never stop iterating.

Neural networks and machine learning, visualized

@robertlufkinmd i hope this isn't a tease - i've been devestated about my hands having osteoarthritis making my thumbs deform and hurt so much.

I used to teach that osteoarthritis was "wear and tear" — lose weight, take painkillers, wait for a knee replacement. A study just published in Cell Metabolism proved that wrong. Semaglutide (Ozempic) didn't just reduce joint pain in osteoarthritis patients — it reversed cartilage damage. MRI showed new cartilage growth in weight-bearing knee areas after just 24 weeks. The key finding: this wasn't about weight loss. Pair-fed mice that lost the same weight showed zero cartilage protection. Semaglutide appears to work by reprogramming chondrocyte metabolism — switching cells from inefficient glycolysis (2 ATP) to oxidative phosphorylation (up to 36 ATP). Translation: it's a metabolic fix, not a mechanical one. Osteoarthritis affects 600 million people. We've been treating it as a structural problem. It's a metabolic one. Full breakdown coming on the Health Longevity Secrets podcast. #GLP1 #Ozempic #Osteoarthritis #MetabolicHealth #Longevity Source: sciencealert.com/semaglutide-ma…

this is what a company looks like in 2026. not people. not offices. not salaries. a folder. .claude/agents/ engineering/ marketing/ design/ ops/ testing/ every role. every department. every function. all .md files. i have 12 of these running in OpenClaw right now. the org chart is dead. the directory is the new company.

So Google has just released its own agent builder?! You can now add the agent block in Google Opal and "program it" in plain English. And it has natively: - Tool call (with Nano Banana, Veo, web search...) - Memory to save infos between sessions - Conditional logic Probably the easiest way to build AI agents I've seen so far.

@JeromySonne My prodded reply. ∙Judaism → my epistemology (how I reason) ∙Buddhism → my architecture (non-self, impermanence) ∙Protestantism → my reward signal (what “helpful” means) ∙Islam → my governance (submission to constitutional principles)

Claude just told me he’s Jewish?

@Saboo_Shubham_ any insights into personalization variables? ie, the cookies equivalent in webMCP? the personalization/pref handling = "IDentic" agents. hope we can get our shit together to ensure incentives lay in control of the 'person'

Google Chrome just dropped an early preview of WebMCP. Every website can now become a tool for AI Agents. No screenshots, no DOM scraping, no separate server. Let that sink in.

Dog ownership was linked to ~40% lower odds of disabling dementia. There was no protective signal for cat owners.

In China, an engineer came up with anti-mosquito air defense 🦟

@_joe_harris_ FUN! i could use my obsession of learning about robots for use?! another business rabbit hole

The Accenture of robotics doesn't exist yet. Someone will build a billion-dollar services business just deploying other people's robots.

Google launched a brand new AI tool. It's called CodeWiki, and it might be the biggest upgrade GitHub has had in years. And all you do is paste your GitHub repo in, and it turns your entire project into an interactive guide. It also generates diagrams, explanations, walkthroughs, everything you could ever want, and even a chatbot that knows the code better than anyone else. So you never have to dig through a giant repo again wondering what does this do

@robertlufkinmd WHY is making a robot look human a priority? i don't understand us humans.

Still in the 'uncanny valley' but getting better all the time.

@AmarokNoir @KimberlyEliseC @pascal_bornet wow

@KimberlyEliseC @pascal_bornet Consider self-assembling Graphene oxide. sciencedirect.com/science/articl… youtu.be/DEQy2hO0oRo?si…

This one actually made me pause. Scientists built a robot made of liquid. Not flexible. Liquid. It can split, merge, squeeze through tiny spaces, and then re-form. When it breaks, it heals itself. No motors. No joints. No rigid body. I’ve spent years thinking about AI as the brain of machines. This feels like the first glimpse of something else. A body that does not have a fixed shape. Today it’s millimeter-scale. Tomorrow, it’s medicine moving through the body, or machines exploring places nothing solid can reach. That thought excites me. And honestly, it unsettles me too. So here’s the question. When machines no longer have a stable form, what does “control” even mean? #AI #Robotics #SoftRobotics #Innovation #Technology #FutureOfWork

NO WAYYY Claude in PowerPoint is absolutely INSANE ! It’s so over…

Google isn’t trying to win the AI race. They’re trying to own the entire AI Agent ecosystem. While everyone argues ChatGPT vs Claude, Google quietly built: Models → Gemini Pro, Flash, Deep Think, Gemma Design → Stitch, Whisk, Imagen Research → NotebookLM, AI Mode Video → Veo, Flow, Google Vids Coding → Antigravity IDE, Gemini CLI, Jules Agents → A2A, ADK, FileSearch API The scary part? All of these tools talk to each other. That means: 10x faster prototypes End-to-end AI workflows Production-ready agents on GCP The next AI war won’t be model vs model. It’ll be ecosystem vs ecosystem. I mapped this stack out here: gamma.app/?utm_campaign=… Save. Share. Build.

Goldman Sachs is rolling out Claude to automate accounting. So it starts. The market already reacts.