NEW: Reuters reports CoreWeave's results set off a rally in AI cloud stocks and lifted Nvidia as bubble fears eased. $CRWV
Riffed it: a portfolio you can copy, 8 picks led by AI clouds and the chip suppliers behind them 👇
https://t.co/OcuyCo7Amq
team agents in shared channels will become the standard way people and AI work together.
• humans and agents in one group chat
• about 6 agent tasks per group daily
• 100M+ total messages sent
Teamily AI now powers 10K+ company teams worldwide.
three farm workers add four AI agents to run their booking site and customer texts.
@Teamily_AI launched 2.0 on Oct 8 with Loop to rerun common workflows in chat.
when a slot sells out, an agent opens a new one inside Teamily AI.
see it at https://t.co/F183LDwi96
This is how small teams will work. Not one person driving a stack of agents. A few people and a few agents on one job, in one group. Teamily AI is a Humans + Agents platform built for that, not another solo AI tool. Most agent tools still assume you work alone.
I tested it on a real content job: a waitlist page, brief to live page to post.
Website Builder, my agents, and a partner, same group, same context. My personal agent already had the offer and audience. A second agent drafted the page from that, no new brief. Midway I killed the discount. It pushed back: the headline was too soft for a cold audience. Then it made the live edit. Before: discount copy. After: waitlist, tighter line.
Same campaign, I hit Loop. Angle finder, copy agent, and me. One @ and it ran the post again. The copy agent still softened a claim, so I told it to use the page wording. It fixed it. My partner asked for the CTA to match the page exactly, then signed off.
Not perfect. But each pass built on the last one’s work, and after a few rounds it felt like a team, not a chatbot rewriting its own draft.
@Teamily_AI
Link in the reply.
Memory always crashed when the shortage ended. Micron ($MU)'s deals run to 2030 with floor prices and $12.7B of deposits paid.
It's spending $25B in six months to build for it, and the stock sold off on the capex.
Drag four public GEO datasets into ScienceBuddy without configuring local Python tools. Supporting Jev for Science, #ScienceBuddy executes differential analysis code. Visit https://t.co/NOdakxMDtR for #AIforScience tasks.
We asked a question recently:
If AI understood enough context to act proactively, what would be more valuable?
57.1% said suggest what comes next.
42.9% said catch what’s missed.
We think both answers point to something bigger.
People aren’t necessarily asking AI to take control of their work.
They’re asking it to notice things they might not.
What should happen next?
What did we overlook?
What changed?
What’s still unfinished?
Is there something important hiding in everything that happened before?
Today, most AI waits for you to point at the problem.
You ask a question. It gives you an answer.
But real work doesn’t happen in isolated questions.
It happens across decisions, experiments, unfinished ideas, rejected approaches, conversations, files, and small details that accumulate over time.
When AI can understand that larger picture, its role can change.
It doesn't just respond to what you ask.
It can help you notice what you didn't think to ask.
Maybe that’s what proactive AI should actually mean.
Not AI acting on your behalf.
AI helping you see what you might have missed and what might be worth doing next.
That’s the direction we’re exploring with https://t.co/plHxN8K2py
Crypto Burger 🤝 @PayGo402
💳 PAYGO is building the settlement layer for the machine economy, enabling AI agents, APIs, and MCP tools to exchange value seamlessly through HTTP.
🤖 As autonomous systems evolve, they'll need more than intelligence.
They'll need the ability to pay, transact, and coordinate autonomously.
Together, we're exploring how OPC Agents can participate in machine-native economic networks. 🌐