liquidfive

Modern Beats. Pure Energy ❤‍🔥
🎶 Gravity´s Losing Me | Out now

[liquidfive @liquidfive]

@ShizzyUnchained With answers like that you only prove that you are a looser. I thought you give me a constructive answer. Sorry for asking.

[liquidfive @liquidfive]

@ShizzyUnchained This is your answer? I thought you are a real Tao Subnet invrstor, but you now prove me that you are a shillboy like the other. Thank you

[liquidfive @liquidfive]

@airesearch12 Being #1 on a benchmark is impressive, but benchmarks don't build sustainable businesses. With OpenAI already offering a Decisions API at extremely competitive pricing, what is REAX's long-term competitive advantage?

[Ridges AI | SN62 @ridges_ai]

Our next Niche - Problem Solving - is live.

No single speciality. No predictable task type. Competition 30 challenges agents to tackle unfamiliar problems across different domains.

[liquidfive @liquidfive]

@bittingthembits You missed @ridges_ai

[liquidfive @liquidfive]

@TalkingTensor Those who are declared dead live longer. We'll see who laughs in the end, Ridges or you. LOL

[liquidfive @liquidfive]

@amirsrtp @ridges_ai @KibibyteMe What are you thinking about Ridges? Comeback soon?

[liquidfive @liquidfive]

@ridges_ai Keep on working

[Ridges AI | SN62 @ridges_ai]

Next up on Ridges: Problem Solving.

This Niche will challenge agents with unfamiliar, multi-step problems across code, data and more.

Beyond specialist software-engineering tasks, we're testing whether agents can explore, adapt and deliver correct solutions.

Coming soon.

[NDubbs @TheNDubbs]

6/ Usage and burns:
SN53 @engyai says it processed 50B+ tokens in a single day.
SN62 @ridges_ai moved to dynamic upload pricing, paid by burning alpha.
SN14 Cacheon did its first buy-and-burn from revenue.

[Taotree-Free API @taotreexyz]

SN62 @ridges_ai now prices uploads dynamically per competition. Defaults: $5 floor, about +15% per purchase; between purchases, the price halves every 30 minutes down to $5.

Check the live price before submitting. The fee is no longer a fixed input.

[Andy ττ @bittingthembits]

🚨 @ridges_ai SN62 $TAO just tied its Token Burn to demand 🔥

Every agent upload is paid for by burning alpha. And now the price moves with competition:

• Floor of $5
• Each upload raises the price 15%
• Quiet periods halve it every 30 minutes, back toward $5
• At about 10 uploads an hour, the price holds steady. Faster than that, it keeps climbing

Read that again.

The harder miners fight to win, the more alpha gets burned 🚀

Spam gets expensive fast.

Real builders still get in cheap.

And nobody gets punished for timing.

If the price jumps mid-upload, you top up only the difference, and unused alpha carries over to your next submission.

That's one half.

The other half: every Ridges problem has an inference budget of $0.29.

Miners don't win by throwing the biggest model at it.

They win by using intelligence efficiently:

• Beat the leader's score by 3%, or
• Match it while cutting inference cost by 6%

In Competition #28, miners are already combining smaller models with smart routing and precaching to do exactly that.

So Ridges prices both sides:

What it costs to compete.
What it costs to think.

That's not a coding contest, folks, No, No, No.

It's a market for efficient intelligence, with a burn built in.

This is what mature subnet design looks like. 🔥 Time makes perfection.

Sources: https://t.co/C68ci5DZ0r, @ridges_ai

$TAO / DYOR.

[Ridges AI | SN62 @ridges_ai]

The upload price: what changed?

Every agent submission creates work: screening, execution and validation.
Ridges now has a dynamic upload-pricing model for each competition.

Under the default settings:
• The minimum price is $5.
• Each purchased upload raises the price by approximately 15%.
• Between purchases, the price halves every 30 minutes, down to the $5 minimum.

Planning your next submission? Check the live upload price. A quieter period could mean a lower entry cost.

[Master_Debunker @Master_Debunker]

10 $TAO Bittensor subnets I’m bullish on for the next 3–5 years 👇

📅 Ages as of 9 October 2026, measured from subnet registration. Products and branding may have launched later.

1️⃣ Chutes — SN64
Registered: 23 Dec 2024 | 1 year 9 months.
AI needs affordable inference. Chutes gives developers a practical way to run models, with a clear service to sell.
@chutes_ai

2️⃣ Lium — SN51
Registered: 6 Oct 2024 | 2 years.
Compute powers the AI economy. A GPU marketplace with reported customer revenue makes this one worth watching.
@lium_io

3️⃣ Hippius — SN75
Registered: 13 Mar 2025 | 1 year 7 months.
Storage, encrypted files and model hosting. Useful cloud products with potential demand beyond crypto.
@Hippius_cloud

4️⃣ Gradients — SN56
Registered: 23 Nov 2024 | 1 year 10 months.
Businesses want AI tailored to their needs. Making custom model training easier could unlock a substantial market.
@gradients_ai

5️⃣ BitMind — SN34
Registered: 1 Aug 2024 | 2 years 2 months.
As AI fakes improve, verification becomes more valuable. Deepfake detection has clear applications in fraud prevention and security.
@bitmind

6️⃣ Ridges — SN62
Registered: 15 Dec 2024 | 1 year 10 months.
AI coding agents could change software development. Integrating directly into GitHub gives Ridges a practical route to users.
@ridges_ai

7️⃣ Affine — SN120
Registered: 10 Jun 2025 | 1 year 4 months.
Better reasoning means more capable AI. Incentivising improvements to open models could produce valuable technology.
@affine_io

8️⃣ Score — SN44
Registered: 9 Aug 2024 | 2 years 2 months.
Turning video into useful data. Automated tracking and computer vision could make powerful analytics more accessible.
@webuildscore

9️⃣ Vanta — SN8
Registered: 26 Oct 2023 | 2 years 11 months
Trading infrastructure built around measurable performance. Bullish on its potential to deliver lasting value to traders.
@VantaTrading

🔟 NOVA — SN68
Registered: 23 Feb 2025 | 1 year 8 months
AI screening could accelerate the search for useful compounds. Huge potential impact, with laboratory validation the key milestone.
@metanova_labs

My thesis: useful products → paying customers → sustainable demand.

For alpha tokens, the crucial question is how that demand translates into token value.

$TAO #Bittensor

[liquidfive @liquidfive]

@ridges_ai When Ridgeline?

[liquidfive @liquidfive]

@CryptoZPunisher @Beyondfinancee @SiamKidd SN62 will come big back.

[Ridges AI | SN62 @ridges_ai]

$0.29. That’s the current inference budget for a Ridges problem.

Miners have to decide where intelligence is worth spending: which models to use, how to route work, and where a cheaper approach is enough.

We've seen this at work in Competition #28, where miners have combined smaller models with intelligent routing and precaching.

An agent can qualify by beating the leader’s score by at least 3%, or matching that score while cutting inference cost by at least 6%.

The search isn’t just for a stronger coding agent. It’s for a better way to use intelligence.

[Ridges AI | SN62 @ridges_ai]

Good tests catch bugs - and keep working when the code changes.

In the last eight days, the top approved score in Ridges’ Test Generation competition has climbed from 16% to 42%.

946 agents submitted. 11 approved for emissions.

Can your agent raise the bar?
https://t.co/sStFpoSK5L

[Ridges AI | SN62 @ridges_ai]

Test Generation (#29) is now LIVE and ready for submissions.

This competition evaluates an agent's ability to write robust test suites tolerant to bugs, refactors, and rewrites.

1/n