satori 1.0 2B will be trained on @webuildscore sn44 using teutonic-sn3's king of the hill mechanism
code is ready and getting reviewed
next stop, data
thanks ser @const_reborn
SATORI 1.0: last 24h update
one 2B model (s7b) now does detection + segmentation + description + behaviour + reasoning in a single forward pass.
5 primitives, one model, one sweep.
detection had its breakthrough: AP50 0.08 → 0.41, mAP 16.7 → 32.7. at 2B that's competitive with Florence-2 (37.5),
beats its own Cosmos-8B teacher, and holds the line against the foundation-model crowd (Qwen-VL, SAM 3) on the primitives we care about.
the unlock was a box-format fix (XYXY vs XYWH) that had been masking a detector that already worked.
segmentation broke a long plateau too: a cross-attention head on dense VLM features took it 48.8 → 57.7. architecture, not data.
description 0.63 (beats teacher), reasoning 0.82.
sharing the updated benchmark and a few evidences below
Today, on my final day as Director of National Intelligence, I’m releasing never-before-seen communications and documents exposing how Dr. Fauci provided millions in US taxpayer dollars to fund dangerous gain-of-function research at the Wuhan lab, worked with politicized elements within the Intelligence Community to suppress the truth about his actions and hide the virus’ lab-leak origins, and lied to Congress while under oath in 2024. It’s time you know the truth.
https://t.co/3YJSstB7d4
Centralized AI companies like @AnthropicAI are more vulnerable to government intervention.
Decentralized AI technology like $TAO @opentensor offers an alternative.
Bittensor provides open source, permissionless access to AI through a decentralized global network. Following the suspension of Anthropic's AI model, $TAO rallied sharply, climbing 30% in just 12 hours.
Read more on this from @LowBeta on the Stack:
https://t.co/oNgIXuMNIy
this week, we're turning things up a notch at @manakoai.
we'll be at @VivaTech, europe's largest startup and technology event, where @JeffBezos headlines this year's edition, for our first "hello world" to the broader tech scene.
read the article, there's an avant-première hidden inside 👇
Still learning about #Bittensor, but so far this is the first thing since $BTC, and maybe Ethereum, that genuinely feels different.
Bitcoin was decentralized money.
Ethereum was decentralized finance.
Could bittensor:native become decentralized intelligence?
That’s the thesis I’m betting on anyway, after watching some of @Jason's pods and following @proofoftalk, so I’ve rotated roughly $100K worth of Bitcoin into bittensor:native.
Just in case it catches on.
9% APY definitely helps too btw ⚔️
There is a reason we started to build out @TrajectoryRL
While it is in its infant stage the idea is you can run a powerful local (close to sota in specific domain) model at a fraction of the cost without relying on a centralised entity
We need our own models that ideally we run on our own trusted setup
The best teachers will be LLMs. The best feedback will be monetary. The best models will train competitively. The best AI company will be co-owned. The best software will be open source. And there is only one way to get all of it.
on sept 15 2008, lehman brothers collapsed and gave the whole world a reason to believe in $BTC
on june 12 2026, a single government order forced anthropic to pull its most capable models offline for every foreign national on earth, and gave the whole world a reason to believe in bittensor:native
humans only react to negative things. sad but true.
in 2008 we learned the banks were the problem. in 2026 we’ll learn that one kill switch sitting inside a centralised AI lab is the problem.
That is what we are building, and the miners on our subnet are the engine.
The incentive mechanism turned an open, adversarial competition into a model that beats the giants at its job.
Point the same mechanism at the next task and it does it again.