Irresponsibly long τao. Life. Liberτy. Biττensor.

Church of Rao, τaoτardisτan
Joined September 2021
Chairman τao retweeted
Needed some open weight models for security work, so I tried @engyai [SN53] for the first time. Paid with $TAO and was online in about 2 minutes. Gave the OhMyPi session the URL and API key and it did the rest. Fast, and I honestly forgot I was on Bittensor.
1
3
1
25
1,678
On the road with Pip Studios... can you guess where we are 👀 @vidaio_ bittensor:native
2
2
13
488
Chairman τao retweeted
Last time we looked at Security. Today: Public Safety. Law enforcement: body-cams, dash-cams and interview rooms produce footage that has to be offloaded, labeled and stored, then pulled for reviews, records requests, training and court. Transportation hubs: airports, rail, metro and ports run cameras across platforms, gates, terminals and docks. The footage settles incidents, and it also shows how people and vehicles actually move through a site. Emergency services and fire: stations, vehicles and incident scenes generate footage that can be reviewed to see how a response went and what could be done faster. Four more in Public Safety: Smart cities and municipal CCTV: intersections, transit stops, public squares Border and customs: crossings, inspection lanes, cargo Government and court archives: hearings, records, evidence storage Defense and ISR: surveillance and reconnaissance video In public safety, footage is evidence. It’s also how agencies review a response, train their people and find ways to work faster. Either way it has to be kept, found and produced on demand. Vidaio compresses, tags, names, sorts, and files it. Next up: Health. @vidaio_ $TAO
Just how many cameras are out there? Last week we named five categories of industries we can serve. Starting today, we’ll take a closer look at each of them one at a time. First up: Security. Retail and logistics: cameras cover the sales floor, the stockroom and the loading dock, often across many locations under one operator. Every site produces its own footage, and eventually footage is needed from the right clip and the right camera on the right day. Casinos, gaming and hospitality: gaming floors, cash cages and entrances are recorded around the clock, and gaming regulators set rules for how long that footage has to be kept. Corrections and detention: housing units, corridors and intake areas are recorded constantly, and incident footage may be needed long after the fact. Four more in Security: Banking and financial branches: counters, ATMs, vaults Education and campuses: gates, hallways, parking lots Commercial buildings, real estate and parking: lobbies, garages, access points Stadiums and venues: concourses, entrances, vendor sites, crowd areas In security, footage is evidence. It arrives constantly and incidents have to stay findable and affordable to keep. Vidaio compresses, tags, names, sorts, and files it. Next up: Public Safety. @vidaio_ bittensor:native
6
23
699
Chairman τao retweeted
Ditto’s improvement flywheel just switched on. The agent competition was missing its counterbalance. Our new generator competition fixes that. Live on SN118. Agent miners build better memory agents. Generator miners build programs that keep producing questions those agents still struggle with. As agents close one blind spot, generators have to find the next. Two adversarial competitions, pushing each other to get better. We designed for miners who enter both sides, too. Your own agents don’t count toward your generator’s score, and your generator’s cases are excluded from comparisons involving your agents. Hard questions must still be solvable by independent owners. The rules are built to reward progress and make gaming harder. For the first time, miners are scaling DittoBench. Its next frontier no longer has to wait for the Ditto team to write every test. Better tests push better agents. Better agents demand better tests. A recursive improvement loop. This is how Ditto agents scale for the long run. This launch is the beginning. The flywheel is moving. dittobench.ai/generators dittobench.ai/pipeline
1
7
2
23
843
Chairman τao retweeted
The Minos app is live for a small group of testers. We're gathering feedback, fixing bugs, and tuning it before public release.
4
10
3
46
1,698
Chairman τao retweeted
John Wick with wall hacks
The overhead hallway fight in John Wick 4 has the best choreography I’ve ever seen in an action movie. One unbroken shot, dozens of people, smoke, muzzle flashes, bodies everywhere. So I made it my stress test. Raw run, misses and all. Dark corners and people on the floor are where it struggles. What scene should I break it on next?
3
36
1,181
Chairman τao retweeted
Great post by @haitzu. I know @theminos_ai, one of the most interesting subnets on $TAO, has been a little quiet these past few weeks, largely because the team was preparing for the genetics conference in Montreal. This was an important event where thousands of geneticists, researchers, and industry leaders gathered to discuss the future of genomics and medicine. Think about what that means. A young Bittensor subnet had the opportunity to present its technology directly to the people who could actually use it. To me, that’s far more important than short-term price action. @theminos_ai is tackling a real problem in genomics: making genetic analysis more accurate, reliable, and continuously improving. HelixForge is a big part of what makes this opportunity so interesting. It’s based on the technology, the team, and the size of the problem they’re trying to solve. That’s where things could get really interesting for @theminos_ai and $TAO.
I love studying the growth of monster subnets: how do new open source subnets grow from zero to heroes? Minos (SN107) was a blessed son when it launched earlier this year Alongside Metanova (SN68), @theminos_ai occupy an important role for Bittensor to pursue novel, open source experimentations for life sciences Running an always on genomics prediction competition, it has been one of those "sounds too smart for me" type of subnets for many However, being featured by OpenAI in a field report and receiving an investment from Stillcore Capital has shown how explosive new development teams going directly into the belly of the open source community can be Another proud story for Bittensor to continue telling the story of
3
2
15
1,083
Chairman τao retweeted
39 experiments in two months, all with one goal: the best encryption and the best speed, for everyday use Privacy often comes with a cost to speed. We're always running research on our code to improve and make that tradeoff disappear Ideally you don't even have to think about it Our new report collects the last couple of months of that research, with every experiment on a timeline showing what it measured and whether we kept it. Even failed tests are valuable to learn from A few that stood out: - in our phone tests, a Wikipedia page went from 2.5-4 seconds to about half a second - a local test link hit gigabit-class speeds after we changed how much data is kept in flight - a tighter memory limit actually hurt speeds by about a third, so we killed that change Full report below
4
8
29
974
Chairman τao retweeted
$ZEC climbed ~4x to ~$1,250 in roughly a year You're probably thinking the privacy ship has already sailed, but you'd be mistaken Beyond Zcash, emerging protocols are bringing privacy to payments, trading & internet access Three names on our watchlist: 1) @NullMaskio $MASK Brings shielded transfers and swaps that obscure the trader’s identity to existing EVM wallets such as MetaMask and Rabby through a custom RPC Founded by Tomas Krnak, whose team developed shielded transaction support for Trezor, it reported $50m+ in combined deposit, withdrawal and swap volume between 1–19 October Using familiar wallets makes adoption easier, although deposits, withdrawals and swap amounts remain public, and the operator can read private balances and history 2) @UmbraPrivacy $UMBRA Supports private balances, payments and swaps on Solana, helping users protect financial information such as holdings, salaries and commercial transactions Its October 2025 MetaDAO token sale attracted ~$155m in commitments against a $3m cap, followed by its public wallet launch in March 2026 Payroll and treasury management offer practical applications, where public transactions can expose compensation, counterparties and business relationships Deposits, withdrawals and network metadata still carry privacy limitations 3) @urnetwork on Bittensor SN25 Encrypts and routes internet traffic through distributed connections, founded by former Palantir engineer Brien Colwell The existing URnetwork has reported 350K+ monthly users, with 100K+ providers being transitioned into Bittensor miners following October’s mainnet launch Bittensor adds incentives for supplying connectivity and validators that check delivery, building on an existing network and user base Each addresses a different privacy need, with different trust assumptions and token economics Our comparison looks at adoption, who pays for each service and how that activity benefits the token Follow @KhalaResearch for research on emerging crypto protocols
8
5
1
11
3,543
Chairman τao retweeted
I am long bittensor:native and love bittensor's focus on scaling AI
341
115
69
815
165,796
Chairman τao retweeted
Introducing the Bittensor <> Ethereum bridge on Taoswap You can now bridge USDC or ETH from Ethereum into TAO or any subnet token on Bittensor, and convert TAO back to USDC or ETH. Powered by @taodotcom.
7
19
7
103
5,895
Chairman τao retweeted
Thank you @GeneticsSociety. It was a privilege to be in Montreal and share how @opentensor 's Bittensor mission enables Minos: decentralized compute and continuous validation so genomic AI can be trained, benchmarked, and improved. To everyone who asked hard questions or grabbed merch, thank you. Excited for what's next.
3
11
1
60
1,575
Chairman τao retweeted
PersistentAI is becoming a network operator on UR (@urnetwork). What we’re cooking: Joint privacy research - looking into zkAPI & private, open-model routing. Persistent’s Private Inference (@P_Inference) hooking into UR.io to make it’s traffic anonymous via UR’s proxy network. Eventual Private Inference subscription layer available to all @urnetwork users. Say it with us: Private is Better
2
6
1
16
777
Turning raw commodities into enterprise ready services. @KubeTEEAI bittensor:native
2
26
648
Chairman τao retweeted
Bittensor neoclouds / inference subnets positioned VERY well for this.
Replying to @chamath
Pretty much. As of the past few weeks, debt markets have almost entirely shut off access to money for any company that doesn’t have substantial revenue independent of AI data centers. SpaceX closed $40B of debt for GPUs, but we’re investment grade and have Starlink & launch revenue. That means the 200+ neoclouds are going to see guppy-level death and consolidation. Some will make it through, but not many.
10
23
1
180
7,507
Chairman τao retweeted
SN90 @KubeTEEAI could probably stand to do a little better self promotion. But those who have been watching know that @pamanseau has been delivering steadily with meaningful contributions to the ecosystem. @ShizzyUnchained @markjeffrey @JesusMartinez @AltcoinMillie
1
1
6
213
Chairman τao retweeted
The Bittensor $TAO ecosystem weekly update Vol.32 Never a dull moment in the bittensor ecosysytem A 🧵
4
15
1
63
3,855
Chairman τao retweeted
spooky season this is the output of our first world model that will be trained by our miners llms understood text and ate software. world models will understand the physical world and eat operations. billions of cameras are already installed. almost none of them understand what they're seeing. most vision ai treats detection and segmentation as the end game. "there's a truck." so what? for us they're just the eyes and sensors. the world model is the brain. it knows the delivery is late, the bay is blocked and who needs to know. detection alone means retraining for every new client. that's a services company, not a product. a world model learns how the physical world works once, then applies it everywhere. and it makes the eyes sharper. a world model can generate endless realistic footage of any site, any angle, any weather, any rare event you'd wait years to catch on camera. fires, break-ins, accidents, on demand. detectors trained on that see things no real dataset could ever show them. eyes to see, a brain to understand, act and keep training the eyes. every company will need this to make their operations autonomous. we're building it.
7
16
3
74
1,851
Chairman τao retweeted
We don’t need free movement, we don’t need immigration, we don’t need endless third world migrants. We need to get healthy British men and women currently claiming benefits back into work. Millions of them. It is that simple.
576
2,919
56
24,615
207,288
Chairman τao retweeted
DeepSeek v4.1 flash 1017 supports image input now
DeepSeek-V4.1-Flash Pricing engy will update DeepSeek-V4.1-Flash pricing to 20% of DeepSeek's official rates. Official: $0.15 / $0.60 engy (Current): $0.04 / $0.08 engy (New): $0.03 / $0.12 Changes: Input -25% · Output +50% · Both 80% below official rates
5
12
80
4,027