This 20 page primer takes a bit time to read, but it's very well written and easy to understand for @bittensor beginners.
Chapeau and thanks to @markjeffrey & @stillcorecap π
Stillcore Capital @stillcorecap is proud to release our STATE OF TAO: January 2026 Report.
It is aimed primarily at people who know nothing about Bittensor.
It explains, in simple-speak, what Bittensor $TAO is and how it works, and then characterizes where the ecosystem is at today.
Hope you enjoy it!
Download PDF:
https://t.co/DSoFzVQyUL
Introducing AgentCard.
Your agent can now buy anything:
β’ pay for inference & APIs
β’ order DoorDash, Amazon, Ubers
β’ run marketing
β’ trade Polymarket 24/7
Open to all, not just businesses π₯
Instant. Private. Reusable. Live today.
Sequoia's thesis that the next $1T company will sell work, not software, is the most important reframe in AI right now.
The argument: if you sell a copilot, you're competing with every new model release. But if you sell the outcome β books closed, contracts reviewed, claims handled β every AI improvement makes your margins better, not your product obsolete.
The key insight most people miss: for every $1 spent on software, ~$6 is spent on services.
The entire SaaS playbook was about capturing the software dollar. The AI playbook is about capturing the services dollar β at software margins.
Not "AI for accountants." The AI accounting firm.
Not "AI for lawyers." The AI law firm.
The companies that figure this out won't look like SaaS companies. They'll look like services firms rebuilt on software infrastructure.
That's a fundamentally different company to build, fund, and scale. And most founders are still building copilots.
Former Google product leader: "I hired 40 AI agents for $500 a month, which is as effective as a $50,000 team." A 100-fold efficiency gap is not the future; it's the present.
https://t.co/pmE1Je6N3G
@samiulh41673233@SolSt1ne What he meant is not βwithin 5 min, there are 20-40 BTC tradesβ. Rather βwithin 5 min, 20-40 times someone buys either a YES or NO share on that Polymarketβ
God's eye view 24-hour replay of Operation Epic Fury.
The Iran strikes kicked off and I set an AI agent swarm loose to record every OSINT signal I could find before the caches cleared. Built a full 4D reconstruction in WorldView.
I can scrub through minute by minute and watch the whole thing unfold on a 3D globe:
> Airspace clearing over Tehran
> Ground strike coordinates locking in
> Severe GPS interference blinding the region
> EO and SAR satellites making passes over the strike zone
> No-fly zones locking down 9 countries
> Shipping fleets scrambling at the Strait of Hormuz
It's pretty amazing how complete of a picture you can build without "proprietary data fusion" -- one dev with public signals and a love for computer graphics and geospatial intelligence.
Thank you for all the love on my last post. Dropping WorldView in April. This my friends is just the beginning.
Just had a quick glimpse. Would you care to explain key differences to other AI enabled SW tools / platforms, i.e. codex, lovable, antigravity, base44 ?
I built the first AI that earns its existence, self-improves, and replicates without a human
wrote about the technology that finally gives AI write access to the world, The Automaton, and the new web for exponential sovereign AIs
WEB 4.0: The birth of superintelligent life
@steipete@OpenAI@openclaw I hope your intuition is right, @openclaw's future remains independent and will be steered by the people. And not through opaque @OpenAI board meetings π