Sebτensor

Keke

[Sebτensor @Sebtensor]

@jaltucher Is there plans to do more Bittensor Podcast?

[Sebτensor @Sebtensor]

RT @webuildscore: Seems like someone just had access our roadmap…

@RvCrypto just sees things

[Sebτensor @Sebtensor]

@Dr_JohnFletcher Tig foundation should really run a Bittensor subnet to magnify some work done over here

[const @const_reborn]

Fiat-funded, fiat-protected and fiat-controlled US and foreign labs will increasingly become reliant on Big Government/Federal Reserve

In exchange, those same elites will seek privileged access, propogandization, censorship, and monopoly over intelligence and over our minds and ultimately our freedom of thought.

Alternate ways of organizing -- bottom up and outside of these regimes -- is our only hope in an era of intelligence fascism.

[Sebτensor @Sebtensor]

@sebyrubino Isnt Bittensor, becoming the bank och Bittensor?

[Sebτensor @Sebtensor]

@lokithebird Beginning? Lol

[babelbit.ai @babelbit]

For centuries, language has been one of the biggest barriers to global communication limiting business growth.

In the coming years, language will no longer be something that separates people.

It will simply become another layer of technology working quietly in the background.

That's the future we're building at Babelbit.

Here's a glimpse of what's already possible in real-time using our tech.

[Sebτensor @Sebtensor]

@Ninja_Subnet Noice

[Ninja | Subnet 66 on Bittensor @Ninja_Subnet]

Frontier labs profit when you waste tokens. Their harnesses keep you spending more. Ninja rewards agents that do more with less tokens. Anyone can mine, compete, or hold a stake. Don't let the oligopoly rinse you of your money.

[Sebτensor @Sebtensor]

@matysanchez_com @sahil_seth @ycombinator Have fun in 3 months when your data has been trained on and product developed and shipped by the big labs :)
Use @TargonCompute instead

[Targon @TargonCompute]

TargonOS is officially live. Confidential compute on https://t.co/RxzEHJPfaV now enables:

→ Rentable GPU/CPU VMs
→ Root access from day one
→ Hardware-attested isolation
→ End-to-end encrypted workloads

Distributed compute, with confidentiality backed by industry leaders like @intel

[Barbie True Blue @Pop_Collapse]

This is a big deal for @babelbit because it shows they’ve solved the fundamental bottleneck that’s held back real-time speech interpretation for years.

Latency < 2s
This is the difference between a tool that feels broken in a meeting and one that feels like a real human interpreter.
Under ~2–3 seconds is the threshold where conversations stay natural and fluid.

Compare Microsoft or Google between 5-10s.

Lots more in the pipeline📈

Q2 (NOW): Market Entry Readiness

Q3 (Soon): Reach and Adoption
- Multi-lingual low-latency delivered
- Live paraphrasing (e.g. “Grammarly” for speech)
- First marketplace partner selected
- Next gen public benchmark devised

Bittensor $TAO subnet 59

[Max @MaxScore]

inference / compute subnets should do what aws did with startup credits: put a slice of emissions into grants and fund researchers and builders

we could even mutualise them across subnets, one big meta bittensor startup programme. bigger numbers, more pull for builders outside the ecosystem

best growth engine there is tbh

@AlgodTrading @0xcarro @jon_durbin @fish_datura @mogmachine

[Sebτensor @Sebtensor]

@DeFimorphosis Its positioning

[Sebτensor @Sebtensor]

@TaoOutsider This one, is veery interesting

[Sebτensor @Sebtensor]

@TaoOutsider @xavi3rlu Give us the 170 and then turbo

[Algod @AlgodTrading]

@engyai went live

Cheapest inference powered by @bittensor

[Sebτensor @Sebtensor]

@markjeffrey @Dat_Dude_Derek_ @engyai @const_reborn need inference?

[Andy ττ @bittingthembits]

Why I will never sell my $TAO.

Economists cannot agree on what AI will do to the economy. Nearly a Quadrillion dollars in output by 2035.

Forecasts range from adding just 0.1% to annual growth to as much as 30%.

By 2035, the difference between those outcomes approaches a quadrillion dollars.

That is not a normal forecasting error.

It means we are standing in front of a technology whose economic ceiling nobody can see yet.

The skeptics point to difficult tasks, regulation and slow adoption.

The explosive case says AI will keep climbing the task ladder, break through institutional friction and eventually begin automating innovation itself.

The exact timeline is uncertain.

The direction feels far less uncertain.

History has a way of making transformative technologies look slow before they become unavoidable. Electrification took decades. Computerization took years to appear in productivity data. Both eventually rewrote the economy.

I do not want exposure to only one model, one lab or one company.

I want exposure to the open market where intelligence, compute, data and agents compete.

If AI grows slowly, Bittensor still wins.

If AI growth explodes, the coordination layer does to.

That is why I will never sell my $TAO.

The uncertainty is why I'm here.

It is the opportunity.

🔗 https://t.co/0C6LZuFPwW

$TAO / DYOR.

[Sebτensor @Sebtensor]

@_0xghost_ Subnets is way better fit for this