fjunior.eth

Crypto investor | Blockchain researcher | Web3

[@jason @Jason]

@JayNisbett bittensor:native is a much more interesting project (have exposure), and I suppose the anonymity of zcash:native has my friends excited

[ForeverMoney @forevermoney_ai]

The Bittensor ecosystem arrived on @Base!

Base brings millions of users, deep DeFi and trading infrastructure and the most intuitive onchain experience in crypto.

Bittensor brings a decentralized AI infrastructure across compute, coding, vision, and prediction.

Chainlink CCIP, the cross-chain bridge that secures billions in value, connects them both.

The onchain AI era starts here 🟦

[Hippius @Hippius_cloud]

Minos (SN107) generates a genomic dataset every 72 minutes and pushes it to every miner.

That's a lot of repeat transfer, exactly where egress fees add up.

Lucky they run on Hippius S3-compatible storage & pay $0 in egress.

Case study on @theminos_ai ⬇️
https://t.co/18294MdYdP

[URnetwork @urnetwork]

The Fight for Privacy

[@jason @Jason]

"Can a Blockchain Actually Beat OpenAI? https://t.co/DlrM1uaV43

[Openτensor Foundaτion @opentensor]

Recently, 5 more enterprise platforms worth $22B+ combined have been testing @_redteam_’s technology. They reach 900M+ accounts and handle 1B+ weekly transactions.

RedTeam is set to unveil a new immune system built to anticipate cyber threats.

Here’s how Bittensor powers it:

[Openτensor Foundaτion @opentensor]

Introducing Root Reborn: a new market for optimizing TAO yield across Bittensor.

Validators compete to build the best-performing subnet baskets. Successful strategies can attract more stake, so more root yield goes toward the subnets that create the most value.

[OpenRoboto @openroboto]

Introducing OpenRoboto, an open competition on Bittensor for continuously improving robotics models. We acquired subnet 80 and now is fully live on mainnet.

[Openτensor Foundaτion @opentensor]

.@bitmind just published a paper placing BitMind Forensics among the world’s top deepfake detection systems.

It matched the best commercial image detector, beat the best commercial video detector, and outperformed top models on major benchmarks.

Here’s the Bittensor edge:

[Openτensor Foundaτion @opentensor]

https://t.co/veIPUhKxWG

[fjunior.eth @Cyber0sz]

$TAO 👀

[@jason @Jason]

If @JensenHuang knows what @bittensor is, and NVIDIA is engaging them on any level, that's worth watching

[fjunior.eth @Cyber0sz]

You don’t own enough $TAO

[Barry Silbert @BarrySilbert]

Jason gets it. He’s early in the next big thing, like usual

Don’t sleep on Bittensor $TAO

[fjunior.eth @Cyber0sz]

$TAO $VVV $AKT

[Demis Hassabis @demishassabis]

A strong and secure open ecosystem is important for the world to benefit from AI. We’ve always supported and contributed heavily to open source and science from Jax to Transformers to AlphaFold to Gemma open models which have now been downloaded 300M+ times. And the standards framework we’ve proposed supports responsible deployment of both open and proprietary models.

[const @const_reborn]

The cardinals of closed AI applaud the piety of open source, not realizing it will one day burn their churches.

[Openτensor Foundaτion @opentensor]

Bittensor is built for an agentic world.

The new Bittensor documentation is machine-readable. Agents can load the full corpus into a context window, discover chain operations, preview them, and execute them.

Builders also get a clearer path into the network, with a five-minute Quickstart, SDK and CLI guides, and migration resources.

Full documentation in the first comment.

[2xnmore @2xnmore]

Grayscale did not build a trust around a meme.

They filed for a spot ETF on a network that pays machines to think.

Wall Street is quietly constructing its door into decentralized AI.

The filings always move before the headlines do.

@Grayscale @opentensor $TAO

[2xnmore @2xnmore]

Some subnets have been collecting $TAO emissions for work that never happened.

Not a bug. Not a hack. A strategy the old system could not see, because its memory was built to forget.

This week Bittensor shipped the upgrade that ends it.

One formula change, and now emission follows two things only: real price and real miners.

Fake the second one and your share goes to zero the very next tempo.

Most people will read the release notes and see math.

What actually shipped is a purge, and the subnets on the wrong side of it are already visible if you know which variable to watch.

I broke the whole mechanism down in plain language below.

The salary and the drug test.

The empty factory still cashing subsidies. The credit card cycle that just got cancelled.

Emissions used to reward whoever gamed the meter. Now they reward whoever builds.

That reprices every subnet on the network.

You will want to find this post later.

[Bittensor @bittensor]

We are releasing Bittensor v431 -- an overhaul of Bittensor tooling.

Our vision is that decentralized autonomous organizations, like Bittensor and its subnets, will be run by LLMs and owned by humans.

For that we need first-class operational security tooling and transparency.

[Chutes @chutes_ai]

@jon_durbin pre-trained a 20B MoE for under $10 an hour of compute.

Not on a cluster. Eight rented single-L40S VMs scattered across two continents, plus a few 4090s and a 5090, all holding roughly 6 seconds per step.

Pre-training was supposed to be the part you couldn't do cheap.

[Openτensor Foundaτion @opentensor]

Bittensor Ecosystem Highlights :: July 6-12, 2026

[ @chutes_ai - SN64 ]
Chutes achieved fully non-blocking decentralized training on a recurrent model with Parallax, staying within a 0.6% quality gap versus centralized training.
> https://t.co/lKSZVpepws

[ @vidaio_ - SN85 ]
Vidaio launched Sentinel, a surveillance-focused product built on its video compression engine for security footage and CCTV workflows.
> https://t.co/bMJ9XzJ3RC

Vidaio’s compression models are being integrated into @manakoai so customers can cut bandwidth costs directly inside edge vision workflows.
> https://t.co/MZcOBuCYe2

[ @SynthdataCo - SN50 ]
Synth published its first research paper using SN50 as a live benchmark for time-series forecasting in finance, featuring a Chronos-2 model fine-tuned on Synth.
> https://t.co/nmG4eJgqRb

[ @trishoolai - SN23 ]
Trishool published the full HaloGuard 1.0 paper, covering its constitutional data pipeline, benchmark results, multilingual coverage and red-teaming loop.
> https://t.co/Toi5nfPmB0

[ @webuildscore - SN44 ]
Manako joined the NVIDIA Inception Program.
> https://t.co/Tdbjo1xCSK

[ @metanova_labs - SN68 ]
Metanova shared its H1 2026 update, with NOVA expanding into nanobodies, cleaner subnet incentives, agent tooling, robotic synthesis with OnePot, and first wet-lab results planned for H2.
> https://t.co/zqh6R6j9HX

[ @redteam - SN61 ]
RedTeam announced its largest funding round to date and a partnership with Unsupervised Capital.
> https://t.co/iOGLmgfnec

[ @chronollm - SN38 ]
Crunch introduced ChronoLLM, a point-in-time model project where SN38 trains historical checkpoints, scaling toward 72B parameters.
> https://t.co/1Nyg7j9e9V

[ @taodotcom ]
TAO(.)com rebuilt its Chrome wallet extension from the ground up for subnet trading.
> https://t.co/GcHiGw5fz3