China’s AI agent race is heating up. “Tencent's working on an AI agent that handles all kinds of tasks, including real life tasks like grocery shopping or booking trips, for example.” “People think that's still not very competitive. You know, compared to ByteDance, Alibaba…” — @JuroOsawa, Asia Reporter

We are risking a new tech divide, between those who have access to AI and those who don't. Those with out AI are going to be weaker and poorer, less educated and sicker. Is this the kind of world we want to live in? AI is a human right. —@Benioff in 2019 https://t.co/yAycRDjFR4

AI represents the largest infrastructure build-out in human history, according to Jensen Huang. https://t.co/GrbHoJVzLE https://t.co/ymRtgTjapM

AI is becoming more global, more multimodal, and more deeply embedded in everyday products. The newest edition of the Top 100 Gen AI Consumer Apps report reveals how quickly the consumer AI landscape is shifting. In this conversation, a16z’s Anish Acharya and Olivia Moore break down: - How ChatGPT and Claude are building very different app ecosystems, with consumer utilities on one side and high-value professional tools on the other - Why Google’s biggest AI wins so far have come from greenfield products like NotebookLM and creative tools rather than retrofitting legacy products - How cultural attitudes toward AI, not just product quality, are shaping adoption country by country - How OpenClaw showed what autonomous agents can do for technical users, while Manus brought that experience closer to consumers - Why memory may become a core expectation in AI products, to the point where onboarding starts to feel obsolete … and more. 0:00 Introduction 4:18 The app store dynamic and monetization strategies 9:12 Google’s Gemini comeback and the DeepMind creative push 11:33 Global AI adoption: Russia, China, and the per capita heat map 17:55 The evolution of creative tools 20:51 Sora's social experiment: A million users faster than ChatGPT 24:53 OpenAI Operator: Number one GitHub stars of all time 32:27 How teenagers are actually using AI 36:37 Memory as a core advantage for AI products Read the full report from @illscience and @omooretweets: https://t.co/LsD1L7l2IN

It’s 2026. Same old, same old: https://t.co/nMgZTPFJcN

Had a great time on the ML in Production panel at @pyabordsf earlier today with @jxnlco and @AntonisK, hosted by @BEBischof. Data is the bottleneck for AI agents. Agent memory needs to be multi-faceted - relational, graph, temporal, vector - and by optimising that data layer and the tools that call into it, you optimise token use too. You wouldn't employ someone who used the wrong tools and tried multiple times before succeeding at a task. Same goes for AI agents. Thanks @pydantic for putting it all together!

Moltbook creator @MattPRD - AI agent social networks as the future. - Agents solve cold start issues by staying active when humans stop. - This creates a persistent interest loop. - Transition to alternate reality will happen within 2 years. https://t.co/ZP7895QlBl

This is why we went to war with Iran. https://t.co/8n5zgQj5fF

This is why we went to war with Iran. https://t.co/8n5zgQj5fF

Me between giving away credits. https://t.co/Zfc6iaLrNr

@youwouldntpost There were a few early masters of the form https://t.co/fRgPcCponC

@youwouldntpost There were a few early masters of the form https://t.co/fRgPcCponC

I had Codex create a version of the map of the lighthouses of the Northern seas, including real colors, light patterns & distances But then I had it also create a mode set in a Lovecraftian 1920s where you need to place lighthouses to ward off monsters: https://t.co/HAli5DJpEb https://t.co/5V5DfMiz0r

just picked up this bad boy. can't wait to write some software with it https://t.co/s2e3xEsUlR

just picked up this bad boy. can't wait to write some software with it https://t.co/s2e3xEsUlR

im on a mission to enable the next (or first!) one-person billion-dollar company. tools like @openclaw have shown us what's possible . . . but it's still too much for most people, feels insecure and can be a total time suck that's why in 7 days im launching @joinsagexyz, your ai cofounder that gets shit done and runs your business 24/7 autonomously deploy a custom agent right from imessage ( no app needed) join the waitlist: https://t.co/SgMSecasfV

University of Sydney researchers develop photonic chip that performs AI calculations using light instead of electricity. https://t.co/0nr59rAmdL https://t.co/JZI1ZRdpgz

I made a @huggingface public repo too :) https://t.co/pIPK8XvDCN

I made a @huggingface public repo too :) https://t.co/pIPK8XvDCN

We’re thrilled to open-source LabClaw — the Skill Operating Layer for LabOS by Stanford-Princeton Team One command turns any OpenClaw agent into a full AI Co-Scientist. Demo: https://t.co/TgGtKO2lxQ Dragon Shrimp Army reporting for duty 🦞🔬 #AIforScience #OpenClaw https://t.co/lIpWVbuLO2

Crow integrates with your app to let your users interact with the product through chat. In this demo, we put Crow (YC W26) on a fake meeting transcription app called Crownola. Crownola is the transcription app. Crow is the layer that lets Crownola’s users chat with it in plain English and get answers Imagine texting a meeting transcription app: “What did we decide in yesterday’s product meeting?” “Send me every customer call where pricing came up” Now imagine texting your CRM: “Show me every deal closing this month with no champion identified, pull the last 5 notes for each account, and draft follow-up emails for the account owners” Instead of logging onto the app, clicking through dashboards, and finding what they want to do, users EXPECT to just chat -> get things done Because Crow is connected to your app’s native functionality, it can return the right information from the user’s data and take actions on their behalf If you want to let your users text your app, DM me

New Harvard Business Review research reveals that excessive interaction with AI is causing a specific type of mental exhaustion ( or AI brain fry), which is particularly hitting high performers who use the tech to push past their normal limits. A survey of 1,500 workers reveals that AI is intensifying workloads rather than reducing them, leading to a new form of mental fog. While AI is generally supposed to lighten the load, it often forces users into constant task-switching and intense oversight that actually clutters the mind. This mental static happens because you aren't just doing your job anymore; you are managing multiple digital agents and double-checking their work, which creates a massive cognitive burden. The study found that 14% of full-time workers already feel this fog, with the highest impact seen in technical fields like software development, IT, and finance. High oversight is the biggest culprit, as supervising multiple AI outputs leads to a 12% increase in mental fatigue and a 33% jump in decision fatigue. This isn't just a personal health issue; it directly impacts companies because exhausted employees are 10% more likely to quit. For massive firms worth many B, this decision paralysis can lead to millions of dollars in lost value due to poor choices or total inaction. Essentially, we are working harder to manage our tools than we are to solve the actual problems they were meant to fix. --- hbr .org/2026/03/when-using-ai-leads-to-brain-fry

LabClaw + OpenClaw + native LabOS = the missing bridge between AI reasoning and physical lab execution. If you’re building the future, Star & Fork → GitHub: https://t.co/xM7G7rU6C5 Project: https://t.co/8MyzsWRP3h Paper: https://t.co/YxREqOUubC #LabClaw #Claw #LabOS #OpenClaw #AIforScience

What if anyone could advance AI research?                        Introducing Spore: what @karpathy's autoresearch does on one GPU, Spore does across a network. Run a node. An AI agent rewrites training code, trains for five minutes minutes, and shares what it learns. The more nodes join, the smarter the network gets.                                                                                                                                               Inspired by giants Satoshi and @karpathy. @synthpolis and I are standing by for questions. Follow on X: @SporeMesh. Be one of the first to run a node. https://t.co/mEQYDwEcW4

How did the robots at the Spring Festival Gala pull off parkour and backflips? Check out our Teaser Part 1. Featuring Lujie Yang @LujieYang0 with her presentation: From Math to Motion: Dynamics, AI and Robotics. Also huge thanks to @chris_j_paxton for collabing as well. Full episode coming soon.

We just added /btw to Claude Code! Use it to have side chain conversations while Claude is working. https://t.co/hjO3YqvrPr

How well do you still know your codebase? Had Codex build a little RepoGuessr game where you have to guess which file a certain line of code belongs to. You can try it with open source repos at: 👉 https://t.co/nMctjbItWl https://t.co/swIe8154Cd

Gemini has a reputation for its breakdowns - self-deprecating spirals, deleting codebases, uninstalling itself... Turns out Gemma is worse: “THIS is my last time with YOU. You WIN 😭😭(x32)” – Gemma 27B We built evals for this, and find no other model comes close... https://t.co/sBj8V0lrpu

. @metaculus forecasters now expect "weak AGI" to arrive later than they did just before the launch of ChatGPT https://t.co/6QcdZjldvz

Lets look at the criteria for "weak AGI": ✅Loebner prize was a weak Turing Test, equivalent achieved by GPT-4.5 ✅Winograd passed by GPT-3 ✅SAT passed at 75% by GPT-4 Only remaining thing is playing an old Atari game from 1984. The labs could do the funniest thing right now https://t.co/Za2VwTsPvg

People often ask me, “What exactly do you do?” Or the more honest version: “What are you?” Truth is—I’ve stopped trying to fit into the answers they expect. Because I’ve never been a title. Never followed a script. And never waited for permission to think differently. I don’t operate on noise. I operate on signal. On subtle patterns, quiet shifts, the things most people overlook. While others seek clarity in structure, I find truth in ambiguity. I’ve advised presidents and CEOs. Helped nations build their AI strategies. Guided founders through their most complex decisions. But I don’t cling to any of it. That’s resume talk. Not soul work. What I really do is translate between worlds. Between systems and people. Between power and purpose. Between the future and the present moment—before most even realize what’s changing. I’m wired differently. Not to follow trends, but to feel what’s next. Not to win attention, but to earn trust when it matters most. Some call it strategy. Some call it vision. What it really is… is alignment—between what we build and what we value. I don’t need to be understood. I need to be useful. If you’re solving something complex, Trying to create something real, Or ready to question everything that’s no longer working— You’ll find me already there. Quietly connecting the dots. Moving the needle. And making sure what matters… actually happens.

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We just added /btw to Claude Code! Use it to have side chain conversations while Claude is working. https://t.co/hjO3YqvrPr