Mantic just raised $25M to scale their AI forecasting system after it finished ahead of all 676 human participants in the 2026 Metaculus Cup.
AI systems, like Alma, dominated the top of the competition.
Capital is starting to realise a few extra points of accuracy is the difference between a $375k war-risk premium and $15M on one tanker. Between a decent year and an exceptional one for funds, traders, treasurers and underwriters.
I can see why people are comparing $TAO to $ZEC
Both have #Bitcoin like scarcity.. 21 million max supply and halvings
#Zcash is built around the idea that financial privacy shouldn't depend on permission from an institution..
#Bittensor is built around the idea that advancing intelligence shouldn't depend on permission from a handful of powerful AI labs..
Both use scarce digital assets to incentivise participation in open networks
Yes.. Different technology and different markets
But the same underlying principles..
Privacy shouldn't require permission.. Neither should the right to build and advance intelligence
One is about keeping financial freedom in the hands of individuals
The other is about keeping the future of intelligence open to everyone
$ZEC and $TAO have more in common than people realise
New Hippius Drive plans are live.
Small monthly price, serious storage.
Free ($0): 10GB
Starter ($4): 500GB
Plus ($7): 2TB
Max ($22): 10TB
Scale ($50): 25TB
End-to-end encrypted.
Start free, upgrade whenever you need more space.
Yuma has invested substnatial resources to bring $TAO to our institutional partners and the millions of end users they serve.
Congrats to the team on a tremendous milestone.
@fintechfrank bittensor is so difficult to explain. but once you go down the rabbit hole and really dig in and meet the people, you come to appreciate it is completely different than anything in crypto…and the most ambitious thing out there
No one else can do this.
While every other CV platform is still selling another fine-tuning dashboard
We’re about to let anyone order actual frontier lab work in a few clicks.
The kind only Bittensor miners can deliver.
Model Foundry is coming to Score Studio.
Zero compute? Zero data? Zero ML team? Doesn’t matter.
You describe the hard vision problem, our miners build the production model, you pay inside the Studio.
That spend goes straight into SN44 buyback + burn.
Money never leaves the subnet.
No gatekeepers.
No bottlenecks.
Just open frontier vision for everyone.
Check out the Model Foundry flow 👇
The more I look at @green_compute_, the more its Alphanomics feel backwards from normal crypto.
Customers pay for permanent GPUs → revenue buys ALPHA.
Miners sunk millions into hardware → multi-year paybacks → less reason to dump.
Demand outside crypto. Supply built to hold.
bittensor:native
In the latest Novelty Search, @Hippius_cloud SN75, decentralized cloud storage on Bittensor, shows how it turns Bittensor miners into S3-compatible cloud storage, with no egress fees for moving large models and datasets.
Hippius offers storage at a lower price per terabyte than Google Drive, iCloud, and Dropbox.
Announcing Targon Tower Pro, and our mission to take back compute ownership.
High Performance At-Home Computing
→ The Targon Tower powers ultra-high performance at home computing, with enterprise grade security,
enabled by Nvidia confidential computing GPUs, and Intel TDX enabled CPUs.
Earn Passively With Idle Compute Downtime
→ Flip a switch to enable Earning Mode, to locally run and passively monetize your individual GPU Clusters
on Targon’s Confidential Network.
Available now: https://t.co/aRe0ljI6VP
.@OKX unveiled OKX AI, with support from Opentensor Foundation.
OKX AI turns agent capabilities into onchain services, tasks, and reputation.
And Bittensor subnet APIs are coming soon, bringing subnet intelligence directly into the OKX AI Marketplace.
Qwen3.6-35B-A3B now forms the new substrate beneath Affine's open arena.
By the very next day, the first champion had already been crowned. Following that, AFFINE-35B-III came along to break the frontier wide open:
Memory: 11.7 → 70.2
NavWorld: 33.8 → 48.3
SWE: 33.1 → 58.2
Terminal: 46.2 → 78.1
Two more champions have emerged since, each carrying performance further across the benchmarks.
The significance not only lies within the size of the jump, but also within what followed: successive champions continuing to build upon their new foundation, pushing the Pareto frontier outward.
The base changed.
The mechanism sharpened it.
Our CUDA-native genome generation stack can now generate a whole synthetic genome in just under 20 minutes on eight H200 GPUs from @lium_io .
That's roughly 440x faster than the traditional CPU-bound workflows.
This opens the door to population-scale synthetic genome generation for benchmarking, variant calling evaluation, and genomic AI.
Together with my co-founders Michael @MichaelPoli6, Stefano @Massastrello and Armin @athmsx, I am excited to announce @RadicalNumerics is emerging from stealth with a $50M seed round to build general biological intelligence.
We’re also sharing an early preview of our new model Omnii, the most powerful genome language model to date.
Omnii preview link:
https://t.co/ouikMtRVwf
At Radical Numerics, our mission is to master the code of life, and to drive the frontier of biological AI for both design and defense.
This is our dual mandate, which comes from something our own team helped make possible.
Our founding team trained Evo and Evo 2, the largest biological AI models (40B params) trained on DNA sequences. Trillions of tokens across all of life, from microbes to mammals. It’s fully open source, and created the field now known as generative genomics.
Last year, scientists used Evo to generate the world’s first complete genome from scratch using AI. Turns out it was a bacteriophage—a type of virus. It functioned in the real world, and in this case it was harmless. But for us, it was a clear turning point.
It showed that AI is no longer just analyzing biology. It is on the cusp of generating functional lifeforms. Eventually, AI will have the power to design and control life itself.
That should make all of us incredibly excited, and incredibly uneasy. (Anyone can design DNA with a new function, and have it synthesized and delivered, like something from Amazon Prime).
The same technology that will help us cure cancer is the very technology that might create the next global pandemic, or worse, allow the creation of bioweapons that can wipe out populations.
We believe these forces are inseparable. If you work on the frontier of biology, you have to build technology to safeguard it from its misuse. Existing biosecurity tools are sorely losing the arms race, relying on outdated “have I seen this exact thing before?” style algorithms.
We founded Radical Numerics to turn the tide.
And we can’t do that by training on textbooks and natural language. We must understand the language of biology from the raw physical data itself, to reason across every molecule and modality, from DNA to proteins.
The next frontier for AI goes far beyond chatbots or video generators to models that can understand and engineer life.
Today, we’re previewing Omnii, which is already far surpassing Evo 2, and will continue improving as we scale and add new modalities (training now).
1. For human health, Omnii can read and write whole genomes (more on writing later). It’s state of the art (SOTA) on detecting causal variants for disease, and can rank Alzheimer's mutations zero-shot. We’re partnering with a diagnostics company to use Omnii for early cancer detection (pancreatic and multi-cancer).
2. For defense, Omnii is SOTA at detecting AI-generated pathogens. We benchmarked existing detection tools, and they simply can’t detect the AI-generated ones (“deepfake viruses”). We’re partnering with a US national lab to pilot Omnii for detecting the next pandemic, both natural and AI-generated.
We have a data center full of Blackwells in construction now to build the most powerful biological AI models ever. This mission takes a new kind of AI lab that can actually scale on physical, biological data: new alignment research (mid/post training), scaling long context, building out mech interp teams to dissect what these models learn, new architectures and systems designs, all from the ground up.
Our team is made up of AI researchers and scientists from top labs and institutions (e.g. Stanford, MIT, Google DeepMind), but more importantly, we all share the belief that this is the most important challenge of our lifetime. If you feel similarly, we are hiring. We aim to bring the brightest minds in AI and science together to save lives.
Thanks to our partners on this journey, led by Emergence Capital @emergencecap, with Obvious Ventures @obviousvc, Triatomic @TriatomicCap
, and Patrick Collison @patrickc. Our advisors include Eric Horvitz @erichorvitz, CSO of Microsoft, Chris Re @HazyResearch of Stanford, George Church @geochurch of Harvard, and Andrew Weber @AndyWeberNCB, former Assistant Secretary of Defense for Nuclear, Chemical and Biological Defense Programs.
Fortune article: https://t.co/L3f3f1329T
Jobs: https://t.co/EzsHSMcGJ1
Bittensor Ecosystem Highlights :: June 8–14, 2026
SUBNET ACHIEVEMENTS
[ @chutes_ai - SN64 ]
@jon_durbin shared a draft of the Parallax tech report, outlining a MoE training method to reduce per-participant VRAM and FLOPs.
> https://t.co/KJzo9YGfcB
Chutes also became a launch partner for Respan’s new AI Gateway.
> https://t.co/pBhdJWkKYj
[ @QuasarModels - SN24 ]
Quasar released Quasar-Preview, its first public Quasar model trained on Bittensor: 18B MoE, 2B active and 5M context.
> https://t.co/ThEA0gpgzg
Quasar is preparing a 10T-token decentralized training run on SN24, starting with a 5T-token phase to produce a stronger checkpoint.
> https://t.co/vXiQdA7fHK
[ @oroagents - SN15 ]
ORO shared its arXiv pre-print, code, data and post-training pipeline for building shopping agents from SN15’s open agentic shopping traces.
> https://t.co/rICbXX6vj4
[ @webuildscore - SN44 ]
Score showed how its 19MB vision model beat larger AI models on object detection while running much faster on CPU.
> https://t.co/kfAJ78OmR8
They also added new comparison pages on @manakoai against ChatGPT, Claude, Roboflow, SAM 3 and other vision AI tools.
> https://t.co/D5ARXilc8j
[ @vidaio_ - SN85 ]
Score is partnering with Vidaio to bring vision AI challenges to SN44 and make video archives searchable and actionable.
> https://t.co/bRHvHIhw8R
[ @yanez__ai - SN54 ]
Yanez partnered with Nexartis, an identity and trust infrastructure company, to help verify human, AI model and agent activity across digital transactions.
> https://t.co/RjqUsoyDUW
They also shared in their latest AMA that Yanez has generated $300K+ in 2026 sales, with an active pipeline over $1M and 11 clients.
> https://t.co/yHaFxPX5Oy
[ @trishoolai - SN23 ]
Trishool was accepted into Anthropic’s Claude Partner Network.
> https://t.co/zE5DKPNhYM
[ @affine_io - SN120 ]
AFFINE-XXIX beat the Qwen3-32B baseline on SWE-Rebench, SWE-Multi, HumanEval and MCP-Agent benchmarks, while staying close on BBH.
> https://t.co/LSLFP1fuqU
[ @VantaTrading - SN8 ]
Vanta Trading crossed 2000 users after launching free $1k eval accounts and cutting prices by 55% across all challenges.
> https://t.co/O0Eqp3ekvY
[ @SwarmSubnet - SN124 ]
Swarm announced SOTApilot, an open-source AI drone autonomy model with 95.34% success on its UAV navigation benchmark.
> https://t.co/UnC4cGPsS0
[ @blockmachine_io - SN19 ]
Blockmachine launched Ethereum RPC.
> https://t.co/XyTFyf8pBf
[ @TrajectoryRL - SN11 ]
TrajectoryRL is expanding SN11’s skill competition from skill packs to miner-submitted finetuned models.
> https://t.co/cLxI0uKmy0
[ @heydittoai - SN118 ]
Ditto reached 1000 users.
> https://t.co/sLdkXHXdSZ
[ @theminos_ai - SN107 ]
Minos has run over 37,000 variant-calling evaluations on chromosome 21, with submissions improving by 10.21% on average.
> https://t.co/pqGUSFfxXQ
[ @minotaursubnet - SN112 ]
Minotaur launched its website and opened beta access to its DEX Aggregator.
> https://t.co/YO8qfkEuNH
[ @ReadyAI_ - SN33 ]
ReadyAI launched a revenue dashboard showing real-time demand for SN33’s structured data pipeline.
> https://t.co/6DB9XqVWdE
[ @say_gm_ - SN28 ]
Good Morning published the roadmap for its AI gateway running in a TEE, now live on testnet with mainnet beta next.
> https://t.co/AqePX5wEAA
[ @EndureNet - SN30 ]
Endure is integrating @SynthdataCo's forecasts into its DeFi risk engines.
> https://t.co/1xU2bpDdpF
[ @eirel_ai - SN36 ]
Eirel released its first product, offering deep research, image generation, web search and agent tools across multiple model families.
> https://t.co/XvD7V1uzIq
[ @adtao_ppcrebel - SN21 ]
@dsvfund took an OTC position in the SN21 alpha token.
> https://t.co/FwRoiRTOuA
SUBNET LAUNCH
[ @DeSciClaims - SN111 ]
Claims is launching as SN111 to build a claim-evidence graph that turns scientific literature into machine-readable data for AI reasoning.
> https://t.co/bTJIiR7JlE
PODCASTS & ARTICLES
@opentensor Novelty Search hosted by @const_reborn with @zipcodenetwork
> https://t.co/ueU7v8gnpy
@taodotcom Episode 14 with @Carrot_____1 and @KeithSingery
> https://t.co/aFN9si9eU4
@gordonfrayne podcast with @josercaldera from Yanez
> https://t.co/6pXNdSHPkV
@gordonfrayne podcast with @knakamor from Vocence
> https://t.co/FKBYJ69YWv
@AltcoinMillie podcast with @MaxScore from Score
> https://t.co/fw2EymKeLO
@AltcoinMillie podcast with @zeussubnet
> https://t.co/j54g9qxzwa
@taodotcom article “The Impact of Conviction”
> https://t.co/E3gjm7ZuG4
MVTRX Teaser Video #2
Hedge funds had this for decades. You didn't.
GenTRX changes that.
AI trained on the full history of the exchange, built collectively by the market, accessible to every trader.
🚨Early version of my JMP! 🚨
To what extent is the contact between corporate lobbyists and federal government officials publicly disclosed?
In other words, how big is the market for "shadow lobbying"?
The Lobbying Disclosure Act mandates quarterly disclosure of lobbying "contacts" subject to many caveats. Watchdogs have long complained about lacunae in the LDA, but there is little evidence of the size of shadow lobbying market.
In my JMP, I use 4.5 trillion pings from 179 million smartphones spatially merged to building shapefiles and observe movement between lobbyists' offices, corporate headquarter buildings, and the federal government in Washington DC.
See below: movement of lobbyists from corporate HQs to federal government buildings:
Today we are excited to announce Targon Supply Portal.
Targon Supply Portal allows compute suppliers to easily onboard and start monetizing their idle compute capacity and track earnings and status of their nodes on Targon.
There are 2 ways to start earning:
→ Permissionless: onboard directly to the Bittensor blockchain and start earning SN4 alpha, no conversations necessary.
→ Targon Managed: let us handle the blockchain, get paid out weekly in fiat or a currency of your choice.
Head to https://t.co/1YTO3dW1ib now to start earning and achieve 100% utilization on your hardware.