Hunter T.

Co-Founder & COO at @DendriteHQ. Leading our mining ops & helping build Bittensor subnets.
SOMA | Teutonic | Albedo | Conjectures

[Hunter T. @hunter_tensor]

@subnet_mania @admiralagrippa @hux_dendrite Will be mentioned for sure 👀

[Hunter T. @hunter_tensor]

@admiralagrippa asked if we could take over the mining workshop after someone dropped out.

Of course we said yes.

So now @hux_dendrite and I are going to Montreal to teach people how to compete with us.

Very smart of us.

[Exploit Summit @ExploitSummit]

. @hunter_tensor has been in crypto since 2017 and building on #Bittensor since 2022.

As Co-Founder & COO of @DendriteHQ, he helps run one of the network’s most experienced mining and subnet teams - turning years of ecosystem knowledge into company built to scale.

Tune in to his Bittensor Mining 101 session at Exploit:
https://t.co/EbNmi3nRf6

[Hunter T. @hunter_tensor]

@oli_soma Lov u brother 👊🏻

[const @const_reborn]

Bitter Lesson 2.0

[Hunter T. @hunter_tensor]

@TaoOutsider @bitsecai @_redteam_ @adtao_ppcrebel @Bitcast_network @LeadpoetAI @theminos_ai @metanova_labs @DeSciClaims @NiomeAI @SwarmSubnet All of this will burn tons of tokens, so
Our wallets will need to keep the bill down @SomaSubnet

[Mark Zuckerberg @finkd]

Last month I wrote about how we can build a positive and safe future for everyone: https://t.co/eoLGVY8yad

Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens.

The reality is:

- People won't want to use agents that are misaligned with them and that don't do what they ask, so labs have a strong natural incentive to make their models more aligned.

There is a lot of debate about slowing progress on capabilities until alignment catches up. My view is that trust and alignment are quickly becoming the most important capabilities that will differentiate agents and models. Any lab that doesn't focus on alignment will fall behind.

- Labs face significant liability if their models cause harm, so they have a strong incentive to prevent this as well.

Meta delayed shipping Muse for several months to focus on safety and security. We didn't call for everyone else to do this before we would. We just did it as part of our day-to-day work because it was clearly the right thing for people and for us. I'm proud of the security foundations we've built.

- Engaging independent evaluators and advisors is industry best practice. MSL already does this today in several areas because it helps produce better work. Other labs can just do this too. In general, it would be helpful for there to be a larger and more diverse ecosystem of evaluators.

- Committing the significant majority of compute towards serving people rather than racing towards recursive self-improvement is one of the best ways to ensure we develop this technology safely. Meta has made this commitment and other labs can do this as well.

I believe the key to building a positive future for everyone is maintaining the right balance of power. This is within our power to do.

[Hunter T. @hunter_tensor]

@weather_boss_ Congrats Boss 😎

[SOMA @SomaSubnet]

39.7% cheaper input with SOMA.

We tested our context compressor against GPT-6 Astra.

The original prompt used approximately 12,937 tokens, with an estimated input cost of $0.1294.

We then took the exact same prompt, compressed it with SOMARIZER at a 0.60 compression ratio, and ran the test again. The compressed prompt used approximately 7,801 tokens, with an estimated input cost of $0.0780 - a 39.7% lower input cost.

Compress. Pay less.

[Hunter T. @hunter_tensor]

The next name in a math textbook could be yours.

Conjectures put bounties on unsolved problems. Use any AI model to help. Submit a proof that passes verification and review, and earn the reward.

@Wejh69 amazing explainer!

[Conjectures.io @conjectures_io]

Conjectures, the incentive mechanism for mathematical discovery.

[Hunter T. @hunter_tensor]

@conjectures_io Goosebumps

[Hunter T. @hunter_tensor]

Apparently this is the week for solving old math problems, right?

This case was open for 16 years and miner competing on Bittensor found a proof

Pretty cool. Even cooler that the miner got a $24k reward

Btw huge chapeau bas @jen_w1n ✌🏻

[Conjectures.io @conjectures_io]

Today, we’re announcing a solution found by our miners to the near-half-density case of Green’s Problem 51, open for 16 years.

The result establishes how much structure must exist in sums of dense sets. Verified in Lean through Conjectures.

Full proof below.

[Hunter T. @hunter_tensor]

@SomaSubnet @pbarbachowski @japanese_crispy @oli_soma @japanese_crispy why so angry?

[SOMA @SomaSubnet]

SOMA Highlights - September 9

We opened SOMA to everyone. One competition later, savings went from 10% to up to 15%.

Try it in GitHub Copilot with DeepSeek V4 Pro.

This time @japanese_crispy joins @oli_soma.
Watch this week’s update below.

Compress. Pay less.

[Hunter T. @hunter_tensor]

Constant competition over static benchmarks

Heard this from my colleague @pbarbachowski recently. Couldn’t agree more.

You can train for a known test and call it progress. Much harder to get away with that when the tasks keep changing and other miners are trying to take your emissions.

That’s what I like about Bittensor. You have to keep pushing

$TAO

[SemiAnalysis @SemiAnalysis_]

Gemini 3.8 Flash and Muse Spark 1.3 are two of the most clearly benchmaxxed models we've seen yet. Despite being comparable to both GPT-6 and Fable 5.1 on Terminal Bench 2.1, their Terminal Bench 4.0 performance is markedly worse. (1/5)🧵

[Hunter T. @hunter_tensor]

Dumbest decision of the decade.
You do not protect children from intelligence. You teach them to command it.
NY has been watching too much EU.
Beijing says thank you.

[Reuters @Reuters]

New York City Mayor Zohran Mamdani said children need their teachers and human connection in order to learn and grow, as he announced a one-year ban on generative AI for students in preschool through eighth grade starting this school year

[Hunter T. @hunter_tensor]

@cisterciansis @conjectures_io Never doubt DeSci

[SOMA @SomaSubnet]

SOMA is now open.

Plug it into GitHub Copilot and run DeepSeek V4 Pro with context compression.

Try it on a real coding workload.

Tell us what works, what breaks, and what we should improve.

More models coming soon.

Try SOMA: https://t.co/etBanUYNgi

[Conjectures.io @conjectures_io]

https://t.co/w6tub1chxY

[Hunter T. @hunter_tensor]

@realcryptopikin @admiralagrippa @bittensor One more category for the map:

Context compression: Soma SN114

Dendrite will be there too!

[Hunter T. @hunter_tensor]

The best Bittensor product is one the user does not need to know is built on Bittensor.

SOMA now works inside GitHub Copilot. No new interface, no new workflow and no knowledge of subnets required.

Enjoy 10% lower token bill!

[SOMA @SomaSubnet]

SOMA is live for GitHub Copilot.

All Early Access emails have now been sent. If you signed up, check your inbox.

You can plug SOMA into Copilot and use DeepSeek V4 Pro with 10% savings. Every Early Access user gets $5 in credits to test it on real coding tasks.

There are no SOMA platform fees during Early Access.

If you missed Early Access, we’ll open SOMA to everyone soon.