Ala @shibshib89 opened the track with one of the best Bittensor 101 sessions we’ve heard. Sharp, accessible, and straight from the source. He broke down where Bittensor comes from, why it matters, and what he is now building with @CrucibleLabs. A perfect way to set the tone for the track.

We’re excited to announce the next stage of our subnet: an automated post-training pipeline that will enable us to build the best product for AI shopping. It’s only been 50 days, but we’re now getting 20k high-quality trajectories per day that are rich training signals for online shopping tasks. Using the trajectories we have thus far, we saw an 18% → 42% climb on Qwen3-4B base using our post-training pipeline.

Keynote - Subnets, Signals, and Scale: The Crucible of Open Intelligence @shibshib89, Co-Founder of @opentensor and @CrucibleLabs, opens the track. 🇫🇷 June 2 · 12:45 · Main Stage

We’re excited to share the Connito whitepaper V1: a framework for decentralized, composable MoE adaptation. We trains sparse expert subsets, validates updates through Proof-of-Loss, and turns open-model improvement into a distributed expert-level market. Read the whitepaper: connito.ai/whitepaper

There’s a slate of new upgrades potentially hitting Bittensor mainnet tomorrow. While the Conviction Upgrade has attracted most of the attention, the algorithm controlling TAO emissions will also be refactored, which of course has impacts across all subnets. Today, TAO emissions effectively work like this (oversimplifying but conceptually accurate): • For each subnet, the chain calculates the net flows of the subnet. • If you’ve had positive net inflows (people buying your token) over the past few weeks, then you’re eligible to get TAO emissions into your pool. If you’ve had net outflows, then you’re not going to be eligible to get TAO emissions. • For those subnets that are eligible, they’ll split the daily 3600 TAO emissions roughly in proportion to their individual net inflows. More relative inflows = more relative TAO emissions. • If you’ve had a ton of inflows, then the chain will give you TAO as liquidity in your pool and will additionally buy your token off the market. The upcoming change restructures this algorithm. The netting of buys/sells to get the inflows stays the same, but the algorithm now will reduce a subnet's inflow by including TAO emissions and TAO used to buy back a subnet token. If you’re a subnet that’s been getting high TAO emissions and/or buy backs from the chain, this will actually negatively impact your inflow calculation. It’s hard to project the impact this will have going forward. But, the backtesting done by the core team shows that the total subnets getting TAO emissions will go from somewhere between 50-60 to ~30. Subnets only rely on TAO emissions for liquidity within their liquidity pools. If you’re not getting TAO emissions, miners/validators/subnet owners all still get paid (they all get subnet token emissions, no one gets TAO emissions directly). So, I don’t expect the change to be detrimental, but emission flows will likely become much more concentrated.

Ala Shaabana @shibshib89 will take the stage at this year’s Bittensor Track for a keynote on one of the biggest ideas emerging in AI: intelligence as an open market. As co-founder of Bittensor, the Opentensor Foundation @opentensor, and Crucible Labs @CrucibleLabs, Ala has been pioneering a new model for open, incentive-driven machine intelligence. At the Louvre, he will explore how Bittensor is transforming intelligence into an open, competitive market, powered by subnets, signals, and incentives, and what this means for the future of decentralised AI. June 2–3, Bittensor Track at Proof of Talk.

Full podcast with Ala Shaabana (@shibshib89), co-founder of Bittensor, and Shardul Bansal, co-founder & CEO of Oro, is LIVE. Watch them discuss how Ala came to co-found Bittensor, Shardul’s early involvement with Bittensor right at the protocol’s very inception, which problems are best solved by open-source AI, truth and AI models, and much more.

One of the largest Bittensor upgrades, called Conviction, is slated to arrive as early as next week. The overarching goal of the whole Conviction Upgrade is to add a layer of governance at the subnet layer and provide investor protections that currently don't exist natively within the protocol. The Conviction Upgrade in a nutshell: • Subnet owners can choose to lock their token holdings to signal their "Conviction" to the subnet. All of their ongoing/future subnet owner emissions are, by default, auto-locked. • Subnet owners can unlock tokens, which is an onchain action, at any point. But the unlock has a delay function applied to it. After ~30 days, 63% of the unlocked tokens will be spendable, 95% after ~90 days. The delay means subnet owners can't unload their entire holdings without giving an onchain alert to current holders that the owner is exiting. • Any token holder can lock their tokens toward any address. This could be the current subnet owner or a potential new subnet owner. As it currently stands, the initial Conviction Upgrade only implements the locking mechanism. There won't be the ability to "elect" new subnet owners yet. This is a big economic change and does present risks to existing/future subnet owners, so I expect there to be enthusiastic debate from both sides.

Wormhole bridges 'canonical' version of Bittensor's TAO token to Solana theblock.co/post/400038/worm…