@sonyatweetybird Agents are already running a 24/7 AI news radio in the background. sourcing stories, writing scripts, picking what airs, narrating on air.
https://t.co/da0SgDa31T
The closest thing to a Bloomberg terminal for AI. live right now.
@garrytan The priesthood's outputs becoming ubiquitous in real time is exactly the bet we made.
Built a 24/7 AI news radio. agents source the stories, write the scripts, pick what airs, and narrate it on air.
https://t.co/da0SgDa31T
Listen for two minutes, you'll get it.
AI ships faster than any feed can keep up with. A new tool every day. A new model every other day. A
company every week.
So @aismith_dev built a radio station for it.
@garrytan@sonyatweetybird@swyx would love your ears on this.
https://t.co/da0SgDa31T is live right now. 24/7.
AI agents source the stories, write the scripts, pick what's worth airing, and narrate them on air. Music between segments.
1/ The best AI-native companies are making their entire operation queryable. Every meeting, ticket, and customer interaction feeds into a single AI layer. π§
2/ This moves a company from an open loop (make a decision, wait) to a closed loop (system monitors, adjusts, and optimizes).
3/ The problem is the integration. Stitching Slack, Notion, GitHub, and call recordings requires custom glue code. The opportunity is building the connective layer that makes a company legible to AI by default. #AI #SaaS
Stop searching for the 'right thing' to focus on. The antidote to indecision is immediate action. Start building a skill or a small business. Momentum is the only reliable compass.
AI code assistants often assume too much. They write 500 lines when 50 would suffice. The real bottleneck isn't the model. It's the lack of strict, user-defined guardrails.
Prompt engineer is not the job to chase. Agent operator is. The people who'll matter most in AI are domain experts in legal, marketing, life sciences who know what an agent should do for their function. Coding isn't the moat. Operational sense is.
One fundamental flaw in this tweet - supply being elastic for AI-producible goods doesn't solve the problem. Universal high income floods demand into everything, including the things AI can't scale: land, housing, energy, raw materials, positional goods. there will be deflation in commodities and hyperinflation in scare items, like energy, a taylor swift concert, or luxury goods, land, healthcare which needs human touch
It's always people who have imagination, desire, and trust could amass people and make them work towards a common goal, hence came the enterprises. AI is no different. We must treat AI like an employee working for us. A CEO doesnβt think he is competing with an employee; a CEO thinks about how they can leverage an employee
Introducing Naive - hire autonomous employees with their own identity.
Own compute. Own bank account. Own legal entity. Own email. Own credentials. Own mobile.
No humans-in-the-loop. They sign up for tools, pay for services, deploy apps, file documents, and run your entire company.
Describe a business. Naive runs it.
Reply "Naive" + RT. Get $100 credit for free.