τechie

Tech Entrepreneur | Software Architect | Decentralized Network Innovator - Bittensor

[const @const_reborn]

5M context length agentic model from Quasar.

[Arrash @0xarrash]

Frustrated by payout denials at other firms? We hear you.

Vanta has paid out $226K+ to traders on a 100% profit split. No hidden rules or payout denials.

Today, we've joined hands with @wallstreetbets to give you the lowest price on all Vanta accounts.

55% off until June 22.

[Zipcode (prev: RESI) @zipcodenetwork]

Credit is the most powerful financial tool in the world, but it's also the most gatekept.

Banks decide who gets access and who doesn't, and the system was built to keep most people out.

Zipcode Finance is bringing credit onchain: any lender, any credit product.

On June 11, we're showing the first loan live for the first time.

Bittensor Discord, 5 pm EDT with @const_reborn.

[Danny Herrmann @MuffinDannyH]

bittensor:native bros… remember that Covenant-72B moment back in March that lit a 90% fire under the price?

Yeah, that was the first time the whole timeline went “holy shit, decentralized LLM training is actually possible.”

But @MacrocosmosAI just dropped Orion-100B on SN9 (IOTA subnet) at Proof of Talk Paris… and this one feels like the real unlock.

Quick recap if you’re new to @bittensor: it’s the network where anyone with a GPU can jump in, help train AI models and actually earn TAO. No single company running the show.

Covenant-72B was massive at the time:

- 72.7B parameters on Subnet 3
- 70+ independent nodes
- But every node needed those crazy expensive 8x B200 GPU clusters (~$50 an hour)
- Data parallelism, so each peer had to hold the full model
- Hit 67.1 on MMLU (Llama 2 70B level)
- Even Jensen Huang and Chamath shouted it out

Then the Covenant team walked away in April calling parts of it “decentralization theatre.”

Orion-100B flips the script:

- 100B parameters (bigger than Covenant)
- New pipeline parallelism – model gets split across nodes instead of everyone copying the whole thing
- You only need one single A100-80GB GPU per person
- Runs fully distributed on the open internet
- Cost is nuts: ~$1.25 per hour per participant → roughly 40x cheaper
- Live 128-node demo: full training run done in just 5 minutes for ~5 TAO
- Efficiency: 30.8% MFU average (peak 38%), hitting about 65% of real datacenter speed (peak 82%) with 81.8% overall utilization

They already trained 1.1 billion tokens in this early stage.

Simple way to look at it - Covenant proved it could happen.
Orion-100B proves it’s now practical, stupidly cheap and actually scalable for normal hardware.

No 90% pump this week (market’s been chopping and this landed only a few days ago) but this feels like the moment the story moves from “cool experiment” to “this is how frontier AI gets built going forward.”

Macrocosmos quietly fixed the memory bottleneck and the insane cost problem.

This is the next chapter.

You watching this one?

#Bittensor

[Michael D. White @here4impact]

study 👀👀

@VantaSN8 @VantaTrading @HyperscaledHQ @wallstreetbets #bittensor $TAO $dTAO

[Arrash @0xarrash]

One of the most influential brands in trading just partnered with Vanta.

@wallstreetbets helped define a generation of retail traders by showing that opportunity shouldn’t be reserved for a select few.

That’s exactly why this partnership makes sense.

Open rules. Verifiable payouts. Real scaling. No games.

We’re building the future of prop trading, and soon an entire platform focused on helping traders become more successful through automation, agents, and better infrastructure.

The old model is broken.

We’re locked in & it’s time to disrupt. More to come, are you ready?

$TAO

[SubConnect @WeAreSubConnect]

Risk sounds like something boring, but it's actually a massive market with significant inefficiencies and flaws in the way it's currently approached.

The reason we're so bullish on risk intelligence as a $TAO subnet is the way the team has designed its strategy.

The focus isn't on building technology for the sake of technology. The focus is on building, or helping build, valuable products.

The first step is doing that within Bittensor itself, with Forge becoming the first product: a native lending protocol built on top of the subnet's risk intelligence.

Once that foundation is proven with Forge, the opportunity for Endure will expand far beyond Bittensor into the broader DeFi landscape and eventually TradFi.

It's a simple but powerful approach:

Build valuable products, prove the model, expand to larger markets.

One product at a time.

[Mark Jeffrey @markjeffrey]

Whoa.

Probably the perfect marketing partnership.

[Arrash @0xarrash]

I met with @wallstreetbets at Consensus.

Turns out we both wanted to solve the capital problem for traders.

This sale is us doing something about it.

-> choose your Vanta account
-> get 55% OFF
-> scale up to $2.5M

You can even start with a free $1k account.

[WallStreetBets @wallstreetbets]

It’s official! We’re teaming up with @VantaTrading

A leading $TAO subnet built for traders

limited number of free $1K evaluations to celebrate the partnership

55% off new signups this week

pass the eval -> keep 100% rewards

big opportunity if you can actually trade 👀

sign up below 👇

[Openτensor Foundaτion @opentensor]

This week, @const_reborn speaks with @sebyrubino
#SN46 @zipcodenetwork building accurate property appraisal models on Bittensor.

SN46 Miners submit models ~30 days before evaluation;
evaluation uses properties listed and sold within the last 30 days - ensuring models are tested on data they couldn't have seen

Novelty Search E076
>> Live via Bittensor Discord

[DaτDudεDereκ @Dat_Dude_Derek_]

#SN30 on $TAO is ready to cook

[Inference Labs @inference_labs]

SpaceX, Anthropic, and OpenAI are all being discussed as potential IPO candidates.

That says something important about where the market is. Investors are no longer valuing AI purely on research breakthroughs. They want durable businesses, revenue, and production adoption.

[Endure Network @EndureNet]

DeFi risk intelligence is broken.
Not because of bad code. Because of a broken model.

We wrote about why, and what we are building on Bittensor $TAO to change it.

[Gordon Frayne @gordonfrayne]

Yanez: AI Fraud Prevention on Bittensor https://t.co/UrKj9lGLna

[Eirel AI | SN36 @eirel_ai]

We are releasing the first product from https://t.co/QHy1SZQAPe.

Deep Research. Image generation. Web search. URL fetching. Python sandbox execution. RAG over your own document corpora.

Powered by multiple model families: DeepSeek, Kimi, MiMo, GLM, MiniMax, and more.

The difference is the tool stack.
Eirel is backed by owner-routed tool services, so agents can search, fetch, compute, verify, retrieve, and reason across real documents.

Plans start at $10/month:
Plus:
- 500 messages/day
- 20 images/day
- 10 deep-research runs/month
- 10 agent runs/month

Pro:
- 1,000 messages/day
- 60 images/day
- 30 deep-research runs/month
- 30 agent runs/month
- Scheduled agent tasks

Max:
- Unlimited messages
- Unlimited images
- 300 deep-research runs/month
- 300 agent runs/month
- Unlimited projects, storage, and memory
- Flexible AI infrastructure.

Serious model access.
Much cheaper than ChatGPT.
Try it: https://t.co/JRiQEwN6a1

$TAO #Bittensor

[τechie @techiee_0]

@BittensorIntern @almanac_market How do you feel about Djinn?
If you want more details, please join their TG channel.
https://t.co/QtPf0lNNG6

[Djinn @djinn_gg]

Fellow D'jinnerates, there is now a Djinn-only telegram channel for supporters and enthusiasts to stay up to date on all the latest Djinn news.

Join us

https://t.co/z69Q8HRPwR

[NIOME @NiomeAI]

Before antibiotics, even minor bacterial infections could be fatal. 🦠

These life-saving medicines have transformed modern healthcare and saved millions of lives worldwide. 🌎

Yet the discovery of new antibiotics is slowing, while antibiotic-resistant bacteria continue to rise. ⚠️

Developing a new treatment can take more than a decade and cost hundreds of millions of dollars. 💊

At NIOME, we can help accelerate your research through scalable synthetic human genomes, allowing you to evaluate potential side effects early on and focus resources on the most promising treatments, without the privacy risk or ethical concerns of using real patient data. 🧬

Explore today's poster to learn more about antibiotics or check out NIOME here: https://t.co/Vmho9gxN1T

[Gordon Frayne @gordonfrayne]

Going live with @josercaldera of @yanez__ai in 2hrs here on X and YouTube.

Drop any questions below for Jose👇

[NIOME @NiomeAI]

New Episode of 'Pulse' 🎙️
Can AI Prevent a Mental Health Crisis Before It Begins?

For some people, AI may be the first step toward seeking support without the fear of judgment or stigma. ⚠️

What if the real ethical question isn't whether AI should help, but what happens when no help is available at all? 🤔

Yet when AI starts to feel human, where should we draw the line between assistance and therapy? ✏️___

Check out this week's episode featuring Emmanuel Stiels, CEO of Reinhart, as we explore the ethical challenges and opportunities of AI in mental healthcare.
Spotify: https://t.co/aMvHiV3VVW
Youtube: https://t.co/PC3TV0KL5a
Amazon: https://t.co/k2AyRpAZpz
Apple: https://t.co/GN53hQqVyF