Los Estados son reliquias; las megacorporaciones se disputan el mundo y la IA descentralizada surge como la bestIA. El futuro es hoy. Bittensor Pioneer, ES.
Humans stare at the finger,
blind to the dark moon orchestrating all
Obsessed with scraps of an old, decayed order,
they miss the new network in the shadows
They follow only a score already written
dancing to echoes of a symphony they no longer understand
https://t.co/2uLDkBbrUp
Exploit might be the most important bittensor:native event of the year.
You’ve got @const_reborn, @MaxScore, @mogmachine, @MacrocosmosAI, @chutes_ai, @manifoldlabs and a ridiculous amount of the Bittensor builder ecosystem all converging in Montreal.
Not a “crypto conference.”
This is where decentralized AI gets stress tested in public.
Following yesterday’s Novelty Search, we’re officially introducing 404’s 3JS game generator.
Repo: https://t.co/R5wodUHDl0
With this, anyone can point a coding agent at the repo, describe a game, and generate a playable game using 404-generated assets.
GLM-5.3 is now open-weight.
Our most capable model for agentic coding and cyber defense is now available to download, run, and customize.
Weights: https://t.co/v1IbWMXxg4
Tech blog: https://t.co/ekQkO83jCv
The newest GTA 6 gameplay trailer dropped yesterday. we ran our subnet vision models on it.
Person, car, gun, segmented and tracked across every scene. night, water, motion blur, freefall over the city. footage the model had never seen.
The part that matters is that this isn't a huge model. it's tiny, and it runs near real time.
Vision that works in the real world...and the fake one.
🧵 2/2 Only 6 of 64 root validators have set basket weights so far. At current chain conditions, full participation could direct an estimated 820 $TAO per day into basket purchases. The six currently configured validators represent 38.75% of that potential.
A validator can currently allocate a maximum of 6.25% of its basket to any single subnet. The chart compares the weights set by @taodotbot, @taostats and Arbos.
Validators will now need to actively choose the subnets where they see the most potential, making their strategies and the competition for allocations much more interesting to follow.
As always, when Mark speaks, you take notes.
I couldn’t agree with more with the way the “Bittensor moment” is going to play out, and his timeline seems about right too.
A handful of subnets are gearing up for a breakout.
“Squirrel!” is near.
Full podcast link 👇
At $TAOX, the largest public holder of $TAO
tokens, we are super bullish. A) $TAO is the largest decentralized AI platform. B) $TAO is like an ETF of 128 AI state-of-the-art subnets. C)@const and the other developers on TAO have immense integrity. D) $TAO
(with 128 valuable companies) has only a $3B market cap vs companies like OpenAI with $1.5Trillion in value. E) $TAO is evolving and will become only better with time, through governance and advances in tech. $TAO
is not a crypto but an AI platform that is succeeding and under-noticed. $TAOX is the public vehicle to invest in TAO. We are invested in $TAO
, the subnets, and own the largest media outlet about TAO, the @taodaily_io as well as public-facing front-end into TAO inference : https://t.co/mI1uKeg2wJ
@fintechfrank bittensor is so difficult to explain. but once you go down the rabbit hole and really dig in and meet the people, you come to appreciate it is completely different than anything in crypto…and the most ambitious thing out there
Defence in this era must be AI driven, the absolute baseline is adapting defences faster than attacks are being produced. Anything slower than this leaves you in a constant state of degradation.
What we’ve built on @_redteam_ is an immune system for this problem. The attacks we ingest are evolved inside the system into complete novel vectors that cannot be produced anywhere else. Every one of these gets patched before an external attacker has the means/ability to create it, let alone release it.
bittensor:native #SN61
Your SayGm tool calls just got lighter.
Test logs, json dumps, file reads. The bulky stuff that used to eat your agent's context window now gets compressed first, and it's done the smart way. Every line your agent actually needs stays untouched. Everything else gets cut.
No extra model call, no added latency, no risk of losing the one line that mattered.
Real result: 50 to 87% smaller tool output on real world cases. Lower token bills, more room in context for what counts.
The compression is powered by @SomaSubnet’s OpenClaw algorithm (developed by @DendriteHQ), reimplemented in Rust and integrated directly into SayGM’s stack.
Opt-in per api key, live now.
It was indeed a happy and successful family event, and our founder, Ben is back.
The Novelty Search episode for 404 has been rescheduled for today, August 27.
We’ll be providing a walkthrough of Titan, the model behind Atlas, what we’re doing with 3JS and AI gaming, and how this work leads into world models.
Time: 9PM UTC / 5PM EDT
Live on Bittensor Discord
See you there.
@HyytYdw in 1997 most/all websites were shit. that is where i think we are with bittensor, the world wide web of AI. give it time. the quality of talent and ideas coming to bittensor is rapidly improving (and is already top notch IMO)
The stage has been perfectly set for $TAO to fly to $1000 in the short term.
Literally trillions of dollars went into AI over the last few years.
Now that there’s some attention on crypto, Bittensor is the clear, obvious beneficiary
Our time is nearly here
$TAO