The gap between investment and measurable impact is definitely something. From what I've seen in day to day work though, the productivity gains are real for individuals (for me and my team at least) even if GDP doesn't show it yet.
INNOVATION
-
Self-Improving AI Skills Gaining Momentum
By
–
Super cool to see self-improving skills getting more attention! Will play around when it's out π
-
Continued Pretraining and Scaled RL for Specialized AI Models
By
–
Continued pretraining + scaled RL is a combo I keep seeing more of. The niche specialization angle is underrated!
-
Full-Stack Vibe Coding: Multi-File Project Competition Intensifies
By
–
The competition for full-stack vibe coding is getting intense. Curious how it handles multi-file projects compared to Claude Code on its own?
-

Bezos Prepares $100 Billion to Revolutionize Manufacturing with AI
By
–
Jeff Bezos is preparing one of the biggest industrial bets of the decade. $100 billion. A fund to acquire manufacturing companies and transform them with AI. According to the Wall Street Journal, Bezos has already met with sovereign wealth funds in the Middle East and Singapore to raise this colossal amount. Targeted sectors: semiconductors, defense, aerospace. The project is called "Project Prometheus" β a startup of which Bezos is co-CEO, dedicated to applying generative AI to engineering and industrial production. It has already raised $6.2 billion by end of 2025. And on the board? David Limp, the CEO of Blue Origin. What you need to understand: – So far, the AI race has been playing out in software. Chatbots, image generation, code. – Bezos just moved the playing field into the physical world. – We're talking about reinventing how we manufacture chips, aircraft, cars. With AI as the engine. AI won't just change what we see on our screens. It will change what we build with our hands. And Bezos just put $100 billion on this conviction. The Wall Street Journal (@WSJ) Breaking: Jeff Bezos is in talks to raise $100 billion for a new fund that would buy manufacturing companies and use AI to automate them wsj.com/tech/jeff-bezos-aimsβ¦ β https://nitter.net/WSJ/status/2034706038448881849#m [Translated from EN to English]
β View original post on X β @flashtweet, 2026-03-19 20:34 UTC
-
Cutting-Edge Hardware Inference Stack Delivered at NVIDIA GTC
By
–
Our crew had a blast at @NVIDIAGTC this week The biggest takeaway? We're delivering exactly what the ecosystem needs: a cutting-edge hardware inference stack built for speed, scalability, and efficiency.
-
WhatsApp Agent with Persistent Memory and Learning Capabilities
By
–
Persistent WhatsApp Agent
— Abacus.AI (@abacusai) 19 mars 2026
The agent remembers.
Preferences, conversations, context – stored and updated after every interaction.
It improves over time. pic.twitter.com/XuFV5uXzqJPersistent WhatsApp Agent The agent remembers. Preferences, conversations, context – stored and updated after every interaction.
It improves over time. -
OpenClaw: Deploy WhatsApp Support Agent in Seconds, No Code
By
–
Deploy in Seconds
— Abacus.AI (@abacusai) 19 mars 2026
Describe what you want in plain English.
OpenClaw connects your data, builds the logic, and launches a WhatsApp support agent instantly.
No code. pic.twitter.com/m2NfGGh8ymDeploy in Seconds Describe what you want in plain English. OpenClaw connects your data, builds the logic, and launches a WhatsApp support agent instantly.
No code. -
OpenClaw Simplifies Deployment with Zero Setup Requirements
By
–
OpenClaw now runs without setup, infra, or technical overhead. OpenClaw just got a lot easier to use.β