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september was a strong month for @axisrobotics 5M+ robot trajectories on base, now already 6M+ and growing every day. the $AXIS community sale became the most participated sonar sale of 2026, with 2,472 participants and $2.39M committed. the research side kept moving too, with the iros 2026 paper acceptance and the new open axis benchmark. also, there are some nice new updates in the axis hub. you can now see a circular progress bar showing how many of your 5 daily task slots you’ve completed, plus how many trajectories you’ve signed. and there are only 15 days left in Kaito epoch 2, which could be the final campaign before TGE. if you haven’t joined yet, jump in from the link below 🔗:

$INJ just got a teaser for something called CypherOS and it's the first privacy focused thing I've seen Injective actually put a name to. the pitch so far: confidential transactions, confidential trades, confidential tokenization. no technical details yet, no launch date, just a dark video and a name. which, fair, that's what a first look is supposed to be. the interesting part is why this matters at all. onchain finance has a real tension baked in, you want transparency for trust and auditability, but institutions moving real money usually don't want every trade visible to competitors watching the same chain. if CypherOS is actually solving that instead of just wrapping "privacy" as a buzzword, it slots directly into everything Injective's already building toward, tokenized funds, RWAs, trade finance, the stuff that needs discretion way more than a meme coin ever would. still very much a teaser though, nothing to actually evaluate yet. I'm actually curious what the real feature set looks like once they show it.

This is how HOUND smells a market. Market data enters as raw signal. HOUND normalizes it into a feature vector, projects it across 32 synthetic odor channels, activates 971 receptor slots, generates a scent fingerprint, compares it against memory, then decides what deserves attention. Market data → Feature encoding → Synthetic odor → 971 receptors → Scent fingerprint → Memory → HOUND response. The point is not to predict the next candle. It is to give market behavior another sensory representation, so changes, similarities and unfamiliar patterns become easier to notice. Try here :

We're opening 4 Preaudit slots for August at $2,000, down from the standard $4,000 flat rate. Move into a full audit afterward and that $2,000 gets credited back in full against the full audit fee, making Preaudit FREE and a no brainer for protocols. Limited to August 2026:

Applications for the 30 vault manager slots close in just 2 days on Aug 6th. 📈300 DUSD to enter. 9,000 DUSD prize pool 📈New position visibility controls 📈Three ways to win through ROI, Maker Hours and Risk Adjusted Return Shoot your shot:

Hey @token_works, your packs have a 77.3% RTP and you don’t publish it anywhere. users deserve to see this before they buy You pay EV × 1.10. the exit pays you 85% of backing. 0.85 / 1.10 = 77.3%. you lose 23 cents of every dollar, every single pack The EV term cancels. it does not matter which pool you pick or how it’s built. the number is identical every time. no skill, no timing, no edge And it compounds. 5 packs leaves you 27%. 10 packs leaves you 7.6%. this is not variance you recover from, it is a straight line to zero Just for reference, blackjack returns 99.5% RTP. roulette 94.7% RTP. the worst slot machine on ANY casino returns 88% RTP. But $FWA packs return 77.3% RTP, before the nonrefundable VRF fee It’s all in your own docs at /docs/pricing-draw and /docs/winning. just never as one number. a buyer staring at a pack has no way to know they’re taking a worse deal than any casino on earth would legally be allowed to offer • users: 77.3% out. keeping the NFT only breaks even if the floor beats 1.10 × pool EV. know which bet you’re making • team: put the RTP on the pricing page. one line. UK operators are required to surface exactly this for slots You would literally have better odds gambling at a casino than aping $FWA packs

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