Five big companies report in the next 48 hours. Before any of them do, I wanted a record of where the money is sitting, so I asked @coinvestai . Here's the ledger. Profitable traders first, the crowd second. $MSFT, Wednesday after close: 61% long / 28% long $GOOGL, Wednesday after close: 52% / 47% $AMZN, Thursday after close: 54% / 46% $COIN, Thursday after close: 40% / 70% $MSTR, Thursday after close: 57% / 41% Two of these are worth staring at. Microsoft has the crowd mostly short and the winners mostly long. Coinbase is the exact reverse, crowd long and winners short. A day apart, opposite setups. Then there's Amazon, where nobody looks worried until you get to the top. Every bracket under $1m is at least 58% long. The two biggest positions, about $9m between them, are both short. One thing that muddies it. The Fed decides on rates Wednesday afternoon, a couple of hours before Microsoft and Alphabet report. So if those two move, not all of it will be earnings. I'm not calling any of these. Earnings are coin flips with a press release attached. But I'm saving this and coming back Friday to see which side got paid. If the winners were right on both Microsoft and Coinbase, that's worth knowing. If they weren't, that's worth knowing too. @liquidtrading

On @SeismicSys, the difference between a balance everyone can see and a balance nobody can see is one letter. uint256 balance; suint256 balance; Same line of code. the second one has an s in front, and that s means "keep this private". Of all the Seismic stuff I've written about, this is still one of my favorite things to explain. That's it, that's the trick Developers build their apps the same way they always do. when something should stay private, like a balance or a payment amount, they add that one letter. The chain does the rest. it keeps that value locked away and only opens it inside secure hardware that even the person running the machine can't look into. Even the answers stay private Say an app checks "does this person have more than $500?" on a private balance. the answer stays private too. nobody watching sees a yes or a no. What the s can't hide I like that Seismic's docs are honest about this part. a few things still show: The amount attached to a transaction itself is always public A number typed straight into the code can be read by anyone If an app acts differently depending on a secret answer, the cost of that action can give the answer away, like a poker player's tell If a developer turns a private value back into a normal one, it's visible from that moment The docs spell all of this out, and the tools even warn developers about some of it. My take One letter gives you the privacy. knowing these few traps is how you keep it.

Your robot has a body, and the data has to fit it PrismaX is heading to CoRL 2026 in Austin, November 9 to 12, Booth 1100 CoRL is the Conference on Robot Learning, where people training robots swap notes every year The line in their announcement i keep coming back to is "on your embodiments" Embodiment sounds fancy but it just means the robot's body Its arms, its grippers, where the cameras sit, how every joint moves Think of learning to drive in a friend's car and then getting into your own Same road, same rules, but the seat, the mirrors and the pedals all sit a little differently For a robot, that small difference can be the whole task That's the idea behind what they're bringing to Austin You tell them the tasks, the robots and the scenes you need, and they collect data to that spec Their Enterprise plan already supports 12+ robot arm types Plenty of booths will be showing off a robot PrismaX is showing up with the data side, and that's the conversation i'd want to be in If you're going to Austin, Booth 1100 is worth a stop @PrismaXai

Startale put bridging straight inside their app this week Bridging is where onboarding usually dies You hunt for the right bridge site, you check twice that it is not a fake one, you copy a contract address, you send, you wait, you refresh Now it sits in the app Open deposit, tell it where your funds are sitting right now, send to the address it shows you It brings them to Soneium for you, usually in a couple of minutes The sign in options are the part i keep pointing at Google or LINE, or a wallet you already use LINE lands differently if you know japan It is the messenger the country actually runs on, and putting it next to Google as a sign in says plainly who this was built for A smart wallet gets created for you in the background Connect something like metamask and it gets linked to that smart wallet rather than replaced Three things worth knowing before you try it $10 minimum per deposit through the bridge flow Funds sent from ethereum land in your app wallet on ethereum first, then you swap them onto Soneium Small swaps look awful because the network fee stays flat regardless of size, so move one larger amount instead of several tiny ones Nobody is going to screenshot this update But every chain that got ordinary people onchain did it by deleting steps exactly like these, quietly, one at a time Next one is strium, the separate chain they are building with SBI for tokenized stocks @StartaleGroup

For months, every optimum post I wrote came with a small asterisk. Testnet. Rolling out. Soon. That asterisk is gone now. Their first mainnet deployment, mump2p on Ethereum, is live They posted the numbers last week, and a few of them are worth slowing down for 16 node operators are already boosting their stake with it. Optimum counts $3.4B in what it calls Total Value Boosted, and names Blockdaemon, Everstake and ether.fi's validators among its partners Across 50,292 slots, blocks reached nodes 335ms sooner than on Ethereum's standard network. That's 3.3x faster 335ms sounds like nothing. But validators only get a few seconds to see a new block and vote on it, so a head start changes a lot One operator shared a good example. Validators vote on which block is the newest, and when a block shows up late, some vote for the old one by mistake. Comparing a week before and a week after switching it on, those wrong votes dropped by 51% Think of a referee who gets the replay late. They still make the call, just wrong more often. Send the replay sooner and the calls get better What I like: receiving blocks faster is free for every Ethereum validator. Optimum calls it Signal, and you set it up yourself through their console Bigger operators with at least 200 validator keys can also use Accelerate, which speeds up the sending side too As Muriel Médard put it, all of this works "without asking Ethereum to change a single consensus rule" Next up, they say: Accelerate for trading firms, and more chains soon I've written about this project for a while. Feels good to type mainnet without the asterisk @get_optimum

Two of the biggest private companies in the world have live markets you can trade right now. OpenAI and Anthropic. Neither one has listed. Before anyone gets excited, these are not shares. They're perpetuals tied to the pre IPO valuation, so you're trading the price. You don't own any part of the company and you can't convert it into equity later. OpenAI: $1,425, with $7m of open interest Anthropic: $1,905, $47m Close to 3,000 positions open on Anthropic alone, and most of them are accounts under $1,000. Both filed confidentially this year. Anthropic went first, OpenAI is reportedly waiting until 2027. If you want to see what happens when one of these actually lists, SpaceX already did it. Went public in June, closed its first day at $161, and sits at $148 now. The part worth looking at is who sits on which side, and Anthropic is where it gets interesting. Accounts between $100k and $2.5m are heavily short. One of those brackets is 0% long, meaning every position in it is a short. But the three biggest positions, holding $20m between them, are 80% long. So the mid sized money thinks it's expensive and the largest money thinks it isn't. I don't have a view on who's right. Pre IPO valuations are guesswork at the best of times, and leverage is capped at 6x on both, which tells me they're treating it carefully too. I've been covering Liquid for months and this is still the corner that surprises people the most. @liquidtrading

Code can check "by Friday". It can't check "looks professional". Almost every campaign brief I get has a line like that. Original take. Natural tone. Nothing generic. Rally, one of the apps built on GenLayer, even scores posts against lines like those. And once you start noticing them, they're everywhere. "Returned in good condition." "Fast delivery." "Data that's actually fresh." "A logo that fits the brand." That's how real agreements get written. Half of every deal is a number, and the other half is a judgment call. A normal smart contract only handles the first half. It compares numbers and dates all day, but hand it the word "professional" and it has nothing to compare against. So the second half goes where it always went: an argument, a support ticket, or a court. GenLayer's own site puts the legal route at around 2.6 years and $43K. @GenLayer is built for the second half. You write the agreement in plain words. If there's a dispute, a small jury of validators reads it along with the evidence, and each one runs its own AI model. One proposes a verdict, the others vote, and anyone who thinks they got it wrong can appeal to a bigger jury. They don't need to write the same sentence. They need to land on the same answer. The example use cases on their site settle in 30 to 60 minutes, for somewhere between 85 cents and $1.45. This matters even more once AI agents start making deals with each other. An agent buying data at 3am can't open a support ticket and wait a week. The "fresh data" part has to get settled as smoothly as the payment did. One honest limit: vague in, vague out. "Looks professional" still needs evidence both sides agreed on up front, like a reference or a short checklist the jury can actually read. That's the whole shift for me. You stop writing rules for every edge case and start writing what you actually mean. What's the vaguest promise you've ever had to enforce?

Startale shipped something this month that i keep coming back to A corporate bond in japan that pays both its interest and its principal in a yen stablecoin Not a testnet demo, an actual bond sold to actual investors Here is who does what SBI Shinsei Trust Bank issues JPYSC and manages the assets backing it SBI VC Trade handles issuance and distribution Startale builds the technology underneath The bank carries the trust, startale carries the rails The timeline is the part worth reading twice June, JPYSC goes live with approval from japan's FSA, classified as a type 3 electronic payment instrument September, ¥1 billion of the reserves backing it moves into short term japanese government bonds October, startale japan issues what it describes as japan's first digital corporate bond paying interest and redemption in that stablecoin That september step is the one people scroll past A stablecoin sitting on idle deposits earns nothing Backed by short term government paper it earns yield and still stays liquid enough to redeem on demand It is a deeply boring bank decision, and that is exactly why institutions get comfortable Startale reports ¥20 billion of JPYSC issued so far Last week SBI and startale joined open standard, a coalition around a dollar stablecoin called OUSD, to test whether JPYSC and OUSD can settle against each other Planning and testing only, nothing commercial live yet, worth saying plainly What stays with me is the order they did this in A lot of this industry launches first and hunts for the use case after Startale found a trust bank, got a regulator comfortable, then put the thing inside a bond Next one goes into strium, the separate chain they are building with SBI for tokenized stocks @StartaleGroup

Five validators would probably agree on this one: I've been busy since May. Just registered for the @GenLayer airdrop. 71 contributions, Brain role, and builder rank #44, mostly from vibe coding small dApps where validators judge plain language. Registering isn't eligibility, the official rules decide that. Funny enough, I'm not eligible myself 😆😭. But if you've been building or creating around GenLayer, take a minute and register at airdrop.genlayer.com

The bug was hiding on the one screen nobody was watching PrismaX just shared how their robot running π0.5, Physical Intelligence's robot model, was losing hundreds of milliseconds And i loved this story On paper they had done everything right Matched the cameras, trained checkpoints on something like 1000 GPU hours, ran 10K runs in sim, triple checked the arms The robot still did worse than they wanted They were ready to throw one more round of training at it Then someone opened the live video feed in the dashboard Normally the person running the robot watches the arms with a hand over the emergency stop, not a web page This time they looked, and the video was clearly behind The cause was small and kind of funny A Python pipe was holding camera frames until 64 KB had piled up before passing them on With tiny frames, that's a lot of frames sitting in a queue So the model kept reacting to a moment that was already gone They patched it and performance jumped The twist for me is the simulator In sim, up to 280 ms of delay barely changed anything, which is part of why nobody went looking In the real room it mattered a lot Their best guess is that lag means more near misses, and near misses tip containers and send objects rolling in ways a simple physics model doesn't show Sometimes the fix isn't more training It's looking at the right screen @PrismaXai