I've been digging into the @MacrocosmosAI @IOTA_SN9 100B parameter pretraining run to understand what it is (or isn't) and potential implications. My honest assessment below in case its helpful for others:

I just bought another 50 $TAO | @opentensor ~ $340 I know some people will look at this level and think it’s “too high” or start taking profits. But for me, everything comes down to personal targets. – Mid-term target: $1000 – Long-term target: $3000 → So current levels still make sense for accumulation My view hasn’t changed: → $TAO > $BTC in the AI era I’m treating $TAO as a long-term bet on AI infrastructure over the next 3–5 years, so I’m comfortable DCA-ing at these levels. I’m not trying to catch the bottom, I’m building a position. Ofc, NFA. Your money, your choice.

🚨 BREAKING.....Djinn $TAO's SN103 is building something that shouldn't be possible. Built by @HarryDCrane, a professor of statistics specializing in probability theory. Not a crypto tourist. A marketplace where you can buy expert predictions and the platform itself never sees the pick. Not before the event. Not after. Not ever. Let that sink in. Overall: 758 git commits. 244 active miners. 5,644 key shares distributed. 27 new miners per day. 90% attestation success. Proof time under 60 seconds. 4 live products. 100% open source. 1,743 average lines of code per day highest of any Bittensor subnet. An analyst encrypts their prediction in-browser. The encryption key gets shattered into pieces and distributed across independent Bittensor validators using threshold MPC. No single node ever holds the full key. The analyst also submits 9 fake picks alongside the real one. Even if you intercept the list, you can't tell which is real. When a buyer purchases, validators coordinate to release the key pieces without any of them learning the actual pick. The buyer's browser reassembles the key locally. Decryption happens on their device. 3-5 seconds. That's not a product feature. That's a cryptographic breakthrough applied to a real market. Now the accountability layer: Every 10 picks between an analyst and buyer triggers an automatic audit. A random guesser at 50% only passes 38% of the time. Five audits in a row? Under 1% chance. Analysts must post USDC collateral before selling. Underperform? Buyers get refunded from the analyst's own deposit. Not tokens. Real money. Track records are mathematically verified through zero-knowledge proofs. No screenshots. No spreadsheets. No trust required. The numbers in one week: public launch, 43-file security audit, 6 bug fixes from user reports, 87/87 E2E tests passing, sybil detector deployed, fair scoring for new miners. Every day something shipped. The same infrastructure that verifies sportsbook data also powers Djinn's Web Attestation product already live at djinn.gg/attest. Tamper-proof cryptographic certificates proving a specific website showed specific content at a specific time. Stronger than screenshots. Stronger than web archives. Same miners, same skills, two revenue streams. The sports prediction market is $150B globally. But Djinn isn't limited to sports. Any domain with measurable outcomes works: financial signals, compliance verification, supply chain decisions. Sports is the proof of concept. The real play is a general-purpose marketplace for accountable intelligence. 💰 Revenue model: 0.5% fee on total value flowing through audits, paid in USDC. Users never touch TAO. They just need a wallet and USDC. Djinn hides the complexity behind a clean interface. Two months old. Shipping like they've been here for two years. $TAO DYOR.