people who stored their btc on coldcard got drained because of entropy. the seed generation was reproducible, anyone could recompute their keys. so i went through every other hardware wallet to see how they make your seed, and whether the same thing can happen again. @Trezor: mixes the device's randomness with randomness from your computer, and the device has to prove it used both. even if its chip is fully broken, you're still fine. the best design here by far. @BitBoxSwiss: 5 separate sources of randomness combined. one bad source can't sink you. open source, reproducible builds, dice supported. @FoundationHQ: built their own randomness circuit out of plain resistors and capacitors, open source, on top of two other sources. no black-box chip to trust. supports dice. @KeystoneWallet: 2 secure chips from 2 different manufacturers, combined. also lets you roll 99 dice and publishes how to check the result yourself. @Blockstream: jade pulls from 7 things: radio noise, cpu counters, battery, temperature, camera, your input, the app. very hard to break all of them. @SeedSigner: your dice are the only source. no chip to trust at all. and they ship a guide teaching you to verify their own math. weakest hardware, strongest proof. @OneKey: secure element plus mcu combined on device, open source firmware. solid, but you can't add your own randomness. @Ledger: one certified chip (AIS-31, EAL5+). good randomness. but it's a single source, closed source, and you cannot verify any of it. you're trusting them completely. @Tangem: key is born inside the chip and never comes out. audited by three firms. same trade: strong, and impossible for you to check by design. @ngrave_official: mixes chip randomness with your fingerprint and room light. clever. but the "EAL7" badge covers one software component, not the whole device. @ELLIPAL: single certified chip, no software fallback, fails closed instead of guessing. closed source, so take it on faith. @SafePal: 2 chips mixed. they've never published the details. @COLDCARDwallet: patched now, and dice on coldcard were always verifiable. but every seed made between 2021 and 2026 is permanently burned. one source = ledger, tangem, ellipal. that one source fails, everything fails. their answer is to make it excellent and certified. that's exactly the bet coldcard lost. many sources = trezor, bitbox, passport, jade, keystone. one broken source never reaches your key. and every one of these claims 128 or 256 bits. coldcard did too. certification doesn't help either, coldcard's chip was fine, the code just stopped calling it. the only thing that saves you is being able to check. roll your own dice. verify the words yourself.

how is something like this just available to everyone as a web app? they launched an app to bundle tokens at launch. and then they launched a token on top of it lol. looks like they're using a bridge with randomized amounts and timing so the tools don't catch them. that's why we need @BundleCatAI $BUN as a standard on every launchpad.

stonk is the #1 launchpad by 7-day revenue at $8.5m, ahead of @Pumpfun and @ponsdotfamily. yet it's at a $292m mcap, way below $PUMP at $3.2b and $PONS at $630m. still looks undervalued to me. a good one to DCA imo.

i have $60k locked on @HyperliquidX that I can't withdraw! all because someone sent me a few dollars from the @HTX_Global exchange! is this what permissionless DeFi, open to everyone, looks like? now my funds can't be moved from the frontend. the only way is to write a script and interact with the contract directly. i can do it, but what about people who can't? or who are scared to, because it means handling private keys directly? i'm really pissed off!

x2 on $AGI already. x3 couple of days ago. im back winning on @fomo. fomo.family/r/the_smart_ape

unpopular opinion. a token can't succeed if the team doesn't control the supply. if the team doesn't control it, they're leaving it to bots/snipers, and those guys don't care about the project. all they want is short-term profit. so the first question I ask every team I talk to is: what % of the supply do you control? and that applies to any type of project. whether the team will rug or not is a separate question. but one thing is certain: a token can't grow steadily if the team doesn't hold at least 60-70% of the total supply. maybe this standard will change with new tech like @BundleCatAI.

what $ARVO is: not equity. not ownership of the business. not a claim on profits. it's the access and participation layer. staking, pools, membership, governance. most projects stay vague here on purpose. rare enough to notice.

here's the important part. a 6 acre field has one possible buyer: a developer. 13 plots have 13 possible buyers: normal people. they didn't make the land worth more. they made it easier to sell. illiquid → liquid.

the deal they published: > 6 acres, bought for $100k > split into 13 plots > sold for $240k > $110k operating profit > 12 months titles SY618830 / SY702079 a completed transaction.

the business is old and boring. buy a field. sort out the access, the planning, the boundaries. cut it into plots. sell the plots. take the money, buy a bigger field. no innovation at all. people have run this for a hundred years because it works.

someone from @fomo dmed me about this. they confirmed it was on them. said my txn was "misrouted" and sent $50 to cover the difference. fast response, tbh. but how can i be sure this doesn't happen again? this feels urgent and serious. i enjoy trading on fomo and i like the social side of it. but if every trade is going to cost me 50% in slippage, i'll stop using fomo. and the second trade on the same token looks misrouted too.

nobody in crypto is watching this. for two years, using ai meant pick a company. give them your card. pay $200 per month whether you use it or not. stay stuck with their models. these projects remove all those rules. > pay only for what you use. > no subscription. > pay in crypto. > no bank, no card, no signup. one balance for every model instead of one account per company. smart routing that picks the cheapest model able to do the job. privacy you set yoursel. @OpenRouter is the biggest one. one api, 400+ models, 80+ suppliers, you pay per use. stripe just bought it for about $7 billion. @AskVenice does it with privacy built in. you choose how private each request is, up to hardware encryption where even they can't read what you send. they make $100 million a year, they are profitable, and their base:0xacfe6019ed1a7dc6f7b508c02d1b04ec88cc21bf token is at ATH today $1.3B mcap. @heyaskr launched 2 days ago. you send crypto, you get credits, you use 460 models. no subscription, no email. $4m mcap today. you can count the serious ones on one hand. in a market where the biggest player just sold for $7 billion. there are very few of these, the demand is already there, and the next ones launching are going to matter a lot. i'm watching every single one.

my AI <> crypto thesis is increasingly skewed towards a market for inference models are commoditizing so the gap between them is narrowing, open-source is getting better, and apps increasingly route between multiple models rather than depend on just one that changes where value can accrue if intelligence becomes abundant, the scarce commodity then becomes access and execution, who serves the inference, at what price, with what latency, capacity and privacy guarantees today, that market is fragmented across closed APIs, GPU networks, credits and idle capacity. there is essentially no common pricing, liquidity or settlement so i see three layers emerging: 1) decentralized intelligence, $TAO, markets for producing intelligence 2) private inference, $VVV, $ROUTER, $POD, accessing intelligence without sharing data 3) inference markets, $ORBIO, $MANY, @idleaixyz, markets for pricing, routing, settling and eventually trading intelligence itself i am most intrigued by the last category. so while agents become the dominant buyers of that commodity, they won’t care which LLM serves the request, they will want to optimize for price, quality, latency, privacy and availability. that pushes inference from just fixed-price APIs → competitive markets. and if inference becomes a commodity, the largest opportunity may not be another AI model. it may be the market infrastructure where intelligence gets priced and traded. below are some projects and tokens that i believe will lead thier category. 1) Decentralized AI Networks $TAO / @opentensor AI incentive network prices useful intelligence. Specialized subnets compete to produce work someone will pay for; $TAO is the scarce root asset that decides which of those markets get emissions. $DOT / @usedotai The private inference layer where users buy uncensored, no-retention inference on Base; $DOT is the credit and burn rail sitting in front of that demand. 2) Inference Markets / Exchanges @idleaixyz (something in 24hrs) Worth to keep watch, early waitlist phase though they teased something in another 24hrs. AI inference do not have a place to trade and a price on them. IMO Idle is the first of its kind to have an NYSE for intelligence; both pricing inference credits and allow people to trade. $ORBIO / @orbiodotso Turns inference into a credit you can stake into, spend, and resell. Leading the inference capital markets on RH. $MANY / @manyways_rh An onchain OpenRouter: one balance, many models, compare-and-route. It will wins if agents standardize on one RHC endpoint. 3) Private / Permissionless AI $VVV / @AskVenice This is the reference for private inference. Models already commoditize; while Venice prices the right to ask without handing the prompt to a lab. Usage is real enough that CT now quotes daily token volume, not just the ticker. $ROUTER / @SolRouterAI Solana’s attempt at a $VVV-like private inference layer: decentralized model access, censorship resistance, and an actual team that has been building before the narrative arrived. $POD / @dphnAI Uncensored models plus a peer-to-pool GPU network. Venice needed models that would actually answer so Dolphin supplied them, then tried to own the inference rail those models run on. Token thesis only works if network revenue keeps buying $POD. $CEST / @CestusNetwork Permissionless GPU mesh for open-model inference. The product pitch is around a no lab owns the servers. The debate is around the relaunch story. $MINI / @miniroutersh A cheaper Solana router competing for the same private-inference order flow as ROUTER. The bet here is in same category, much smaller cap, and some debates that the sites look related. $OPAN / @Opanarchyai This is more of a robotics bet. It has an open robotics stack (library, sim, training) with a private inference layer for machines that cannot leak their context. The bet is physical AI will need a private brain, not another chat frontend. $DARK / @darkwoodslabs On RH chain, no-account, no-log private lab, uncensored models, usage buyback, stake-for-USDG. a few days old, NVDA-paired launch, narrative should push it much higher. Think of it as RH chain privacy-AI option. $AILE / @AileLabs Rents idle seats Claude, Codex, leftover API keys, because closed weights cannot be served by a DePIN cluster. Its the Airbnb for subscriptions for AI models, USDC settlement on Solana.