sebastian.tao

Engineer/Game Theorist | @ascendntwrk | bittensor | building @tech_insignia @redwoodnorth_io

[sebastian.tao @raphasoles]

@tech_insignia

[sebastian.tao @raphasoles]

Some wild stuff in progress
@tech_insignia

[Omkar @psomkarbuilds]

haven’t met anyone working less after adopting the AI

[Mark Jeffrey @markjeffrey]

Sounds like we need more inference from somewhere ... :)

[sebastian.tao @raphasoles]

@rackSpreader1 This is the way

[sebastian.tao @raphasoles]

@Jason @bryan_johnson Real af 😂

[sebastian.tao @raphasoles]

@lynk0x Real

[sebastian.tao @raphasoles]

Biotech 🎯

[Exploit Summit @ExploitSummit]

Bittensor evolves through opposition: miner vs mechanism, attack vs defence.

It's why we named the protocol's conference Exploit.

So we're going to be doing things a little differently.

Introducing: THE ADVERSARIAL DEBATES. Head-to-head, one voice per side, questions picked specifically because nobody agrees and nobody's going to by Sept 28.

Bittensor's biggest disagreements, live, on stage, in front of the room.

Because pressure is what makes this network (and everything built on it) stronger.

First matchup drops Friday. Come argue.

[sebastian.tao @raphasoles]

Compute economy is here

[Wintermute @wintermute_t]

Wintermute executed its first compute forward referencing Nvidia H100 pricing

Compute is becoming a market of its own, with the tools to price and hedge it now starting to emerge

[Openτensor Foundaτion @opentensor]

Training strong AI models outside large data centers requires solving a hard coordination problem between distributed GPUs.

@chutes_ai just announced they trained a recurrent model with Parallax across distributed GPUs in a fully non-blocking training setup, staying within only a 0.6% quality gap versus centralized training.

A fully non-blocking setup means each GPU keeps training instead of pausing until every other GPU has finished synchronizing.

That matters because recurrent models are harder to split across many GPUs than transformers, which makes this a strong test case for decentralized training.

Another concrete milestone for decentralized AI training from a Bittensor subnet.

[sebastian.tao @raphasoles]

@Jason Don’t fall for the anti French propaganda

[@jason @Jason]

Need. More. Tokens.

Testing a secret new sub on @bittensor network running GLM 5.2 and it’s mind blowing 🤯 when your token cost drops to zero

[sebastian.tao @raphasoles]

@krakenlistings @chutes_ai @bittensor Lfg

[Tyler DurdΞth @tylerdurdeth]

It is getting so fcking obvious…

$TAO

[sebastian.tao @raphasoles]

@alvin_investor Yes

[Alvin @alvin_investor]

When $TAO achieves its AI goal, it'll have more compute power than BTC (which already has more of than top 100 global supercomputers COMBINED).

Now imagine that high level of compute being used to create any AI to solve every problem imaginable. $TAO is ALREADY headed there now.

[lynk @lynk0x]

Bro: "Trading is great I made $200 in 4 days!"

The state I found bro in 3 months later:

[gamer capital 🕹️ @gamer__capital]

Band for band is out

In 26 we going byte for byte

[sebastian.tao @raphasoles]

@AlgodTrading FHE > TEE

[sebastian.tao @raphasoles]

@tradexyz @HyperliquidX @tradingview 🔥