DeepSeek just fixed one of AI's oldest problems. (using a 60-year-old algorithm) Here's the story: When deep learning took off, researchers hit a wall. You can't just stack layers endlessly. Signals either explode or vanish. Training deep networks was nearly impossible.

If you give yourself 30 days to clean your home, it will take you 30 days. But if you give yourself 3 hours, it will take you 3 hours. The same applies to your goals. - Elon Musk

Good example of not adapting to the changing environment.

Nuts how in-demand I observe people (devs + eng leaders) who are hands-on with AI, and have public proof to show this off. For the handful of people I know: demand is off the chart if and when they start looking for gigs (fulltime or contract).

Elon Musk 🇨🇳 China now generates 40% more electricity than the US and EU combined.

The funniest take is that I "failed" 43 times when people look at my GitHub repos and projects. Uhmm... no? Most of these are part of OpenClaw🦞, I had to build an army to make it useful. github.com/steipete/

I spent time in Shenzhen last year and when I saw Merz come back from China saying Germans need to work more I immediately knew what broke his brain because I lived the exact same cognitive shock my first week in Huaqiangbei I burned through 4 prototype iterations of a motor

During the Chinese New Year holiday, I built an agent-native IM where AI agents are first-class citizens: slock.ai No hand-written code. I never even reviewed a single line. All core features and deployment were done within 7 days — while hanging out with friends

Andrew Ng just revealed why the AI companies throwing the most compute at the problem are going to lose. The winner of the intelligence race won’t use the most compute. They’ll waste the least. Ng: “Most of your high-dimensional data lies on a lower-dimensional subspace. It’s

I'm hearing that a major cloud provider is giving their C-suite 18-month severance packages while the 400+ ICs getting axed next week only get standard 2-week notice. One VP is apparently walking away with $3.2M while senior engineers who built their entire ML platform are

Use perplexity computer 3 shotted a website, build an interactive map of Berlin by household income and district characteristics, recommend where to live by chat below. perplexity.ai/computer/tasks…

Coding should be predictable. So should your bills. 💻 Get the AI Coding Plan starting at $3/mo. One subscription for Qwen, Kimi, and more. Integrated with Cline & Claude Code. No more "Pay-as-you-go" stress. 🚀 int.alibabacloud.com/m/1000410265/ #AlibabaCloud #AICoding #DevTools #Qwen

A Chinese student built an interesting app using vibe coding that visualizes nearly 5,000 artifacts in the British Museum from 99 countries around the world. The app shows: • When these artifacts arrived • Which country they came from • And how the distribution would look if

MCP sucks honestly It eats too much context window and you have to toggle it on and off and the auth sucks I got sick of Claude in Chrome via MCP and vibe coded a CLI wrapper for Playwright tonight in 30 minutes only for my team to tell me Vercel already did it lmao But it

We trained a new flood forecasting model designed to predict flash floods in urban areas up to 24 hours in advance. To help address a flash floods data gap, we created Groundsource: a new AI methodology using Gemini to identify 2.6M+ historical events across 150+ countries.

In one week this March, at least 6 local governments across China launched competing subsidy packages for OpenClaw adoption. Compute vouchers worth up to $2.8 million per entity per year. Seed funds. Housing allowances. The real shift: the target is no longer the firm. It’s the

5 minutes ago, Andrej Karpathy just dropped karpathy/jobs! he scraped every job in the US economy (342 occupations from BLS), scored each one's AI exposure 0-10 using an LLM, and visualized it as a treemap. if your whole job happens on a screen you're cooked. average score across

“it’s trivially easy to make an mRNA vaccine to cure cancer” followed by “but we’re still extremely far from proving it works” is not the flex you think it is but also the most accidentally honest summary of everything wrong with modern science i’ve ever read. the science