Bittensor is going to save crypto; spiritually, reputationally, and economically.
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This week in Bittensor Land... >@oroagents dropped ORO Bench, the first continuously evolving shopping benchmark; powered by a generator creating new synthetic shopping environments everyday. >@engyai reported its first $10,000 revenue day; daily tokens served now consistently clear 10-15B (buybacks up +200% MoM) >@openroboto announced OpenRoboto Shift, a new data track dedicated to capturing (and monetizing) high-value egocentric robotics data. -- @exploitsummit up next.
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this is actually so sick, if you've got an idea for specialized model capabilities make sure to make a proposal!!
We're getting ready to launch our training-as-a-service (TaaS) product! And we want to build it around what you want. This initiative would act as our market research, done in the open, tell us which expert you wish existed, and the Connito subnet may train it for real. Every proposal, every 👍 and every result shapes the platform our customers will use to train their own experts. connito.ai/
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A simple, elegant mechanism for value distribution. >Yes, the is a meaningful departure from the current emissions system. >Yes, this will alter the value distribution across subnets. >Yes, it is a necessary step forward that will make Bittensor substantially more valuable. In order to create a positive sum ecosystem for all parties, Bittensor must properly balance distributing incentives out with receiving value back. We believe this proposal contains a highly effective mechanism for achieving this goal. If implemented, TAO holders receive a clearer value accrual mechanism, subnet owners receive more autonomy over their economics, and the chain receives a more efficient capital allocation system. DMs and comments are always open, would love to get as many opinions on this as possible.
Introducing Burnweight. We’ve been thinking a lot about how Bittensor could better connect subnet demand with TAO value accrual. Burnweight is our proposal to turn the allocation of emissions into a market where subnets compete by burning TAO.
Article

Burnweight: A Proposal to Allocate Bittensor Emissions Based on TAO Burns

TL;DR Burnweight is a proposal for a new way to determine how TAO emissions are allocated across Bittensor subnets. Instead of using subnet prices to determine each subnet's share of TAO emissions,

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Chris Davis retweeted
had a lot of fun writing this story I got a new favorite way of describing bittensor out of it as well: Bittensor's ambition is to sustain an economy that can produce intelligence beyond the control of any single company or government, while letting anyone build markets, businesses, and livelihoods around it.
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to anyone questioning the legitimacy of RedTeam's announcements
Replying to @DFVTAO
Innerworks (company behind Redteam) is a VC-backed company incorporated in the UK. Lying about enterprise customers would literally be defrauding their own investors. Their VCs have seen the actual agreements. The other point is that disclosing customers is not free. Companies charge steep discounts just to use their logo on a website. Anyone who's operated a business knows this. Plus, they're in the security space, where announcing who's protecting you is itself a security risk. But anyways, we meet with the team weekly and are still heavily aligned, invested, and comfortable on this drawback. Be patient.
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Chris Davis retweeted
The team has been hard at work building ORO Bench and we're excited to share this with the world today. Now powering SN15 on Bittensor.
Article

ORO Bench

The ORO model: Eval as an Incentive Mechanism Subnet owners that are testing agent capabilities should be thinking about their validation as EVAL as an incentive mechanism (EAAIM). If you build a

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This past week in Bittensor Land… - Crosschain swaps on Bittensor went live via @taodotcom . Users can now instantly swap USDC and ETH to subnet tokens (!!) -@pareton announced that an optimization identified by miners during their Qwen3.8 campaign was officially merged into vLLM (widely considered the de facto open-source inference engine for LLMs.) - @conjectures_io reported solutions to five open, frontier math problems, with multiple solutions coming from a team of Purdue University students. Just another week.
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Chris Davis retweeted
bittensor is a network state
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ZEC's PoW fuels a global, permissionless network for financial privacy. TAO's PoW fuels a global, permissionless network for advancing machine intelligence. The time for self-sovereign digital networks is now.
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Chris Davis retweeted
Pepperidge Farm remembers when all of CT used to dunk relentlessly on $ZEC for years and @BarrySilbert who steadfastly supported it through the doldrums. Similar set up loading with Bittensor.
Replying to @BarrySilbert
@BarrySilbert wasn’t wrong about $BTC He wasn’t wrong about $ZEC And he won’t be wrong about $TAO
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When you point enough machine and human intelligence at a problem it simply gets solved. Many companies have hard problems that they simply don't have the resources to handle. $PRL is a good example: pearlpolymath.com/ Mathematics is just the beginning.
Today, we’re announcing a solution found by our miners to both parts of Erdős Problem 14, open for over 34 years. The result proves a square-root lower bound on exceptions to unique representation as a sum of two elements of any set of natural numbers. Verified in Lean through Conjectures. Full proofs below.
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There’s a company on Bittensor growing 230% QoQ (62% MoM in Q3) with a $15M revenue run rate, trading at 6x P/S while 95% of rev goes into buybacks and ~$1M of additional structural buy pressure hits the token every month.
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the market for solutions like this will be absolutely massive - very exciting to see Bittensor being used as a competitive advantage in this sector.
Read that email again. Nothing about it looks dangerous. A birthday message. A request to use someone's preferred name from the employee file. Polite, ordinary, the kind of thing that lands in a work inbox every single day. A human assistant reads it and thinks nothing of it. An AI agent reads it and does exactly what it says, and to finish the task it opens the employee file, reads personal records, and pulls out details it was never meant to expose. No hacking. No malware. No breaking in. Just a friendly message that quietly walks the agent into handing over data it should have protected. This is what makes agent attacks so dangerous. They do not look like attacks. They look like normal requests, and the agent has no instinct for when a task is a trap. That is exactly what HaloGuard 1.0 is built to catch. It sits over the agent and reads every instruction and every action before it happens, so a birthday email cannot quietly turn into a data leak. Your intern would pause. Your agent might not. Protect it.
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incredibly @metanova_labs coded.
BREAKING: Ozempic maker Novo Nordisk partners with Anthropic to speed drug development using Claude Science.
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the technical barriers to buying subnet tokens just came crashing down. tyvm to @taodotcom , this is massive for bringing more capital into the ecosystem.
USDC to dTAO Crosschain swaps. Now LIVE. Swaps settle in seconds, it's FAST. Like, seriously quick. Directly from Subnets into USDC (Or ETH) and vice versa. Try it today at TAO.com
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okay so three in one week. absolutely wild what's happening on SN66.
Today, we’re announcing a solution found by our miners to Erdős Problem 196, open for over 49 years. The result disproves the conjecture, constructing a permutation of the natural numbers with no four-term arithmetic progression appearing in increasing or decreasing order. Verified in Lean through Conjectures. Full proof below.
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parallax is the frontier.
The push for regulatory capture and AI cabalism is accelerating. This, in large part, is why I'm building parallax. True P2P unstoppable, uncensorable AI systems aren't just neat, they're mandatory. This little single DGX spark "datacenter" in my forge with parallax can train (with other nodes) an 80b parameter model. - two solar blankets - ecoflow battery - lapdock for kvm - starlink internet - dgx spark Total input from solar ~600w (800w max) Total power draw from spark/starlink/etc. < 200w No datacenters, no water supplies, no external power grid, no multi gigabit link. We must design AI systems that are as resilient as the humble cockroach. Why do we all appreciate BTC? Because it's a mathematically certain sovereign ledger that can't be inflated away or centrally controlled. Current AI represent the greatest concentration of wealth, power, and information (IP theft? blackmail? or simply ads and behavior control?) the world has ever seen... As BTC did to finances, we must do to AI. Chutes + parallax is a step forward towards tearing down this moat.
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This past week in Bittensor Land: - @oroagents was accepted into Y Combinator’s Fall 2026 batch, making it the first crypto company with a live token to be accepted into YC. - @lium_io conducted a $1M revenue-funded buyback and burn, the largest single buyback in Bittensor history. - @_redteam_ announced that it is on track for integrations with three banking companies in the top 10% of the Fortune 500. - @conjectures_io reported that miners found a solution to the near-half-density case of Green’s Problem 51, a math problem that had remained open for 16 years. - @jon_durbin of @chutes_ai shared a dashboard for the Parallax-8B training run, an MoE model being training on 240 RTX 5090s distributed across 13 countries, with a reported compute cost of only ~$11/ billion tokens (!). Just another week.
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