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Get ready for @askar_dex "Part 2" 😎 Built on the @CantonNetwork Non-custodial wallet & DEX on Canton Network. Atomic swaps, private by design, global composability. Your Keys. Your Assets. One Synchronized Network. 🟡 We always hear the words "Atomic Settlement" but what exactly is that? 🤔 Atomic: Transaction Finality = No partial fills & No counterparty Risk! Private: Data shared strictly on a need-to-know basis Composable: One wallet across every app on the Global Synchronizer 1) Features: 👇 Everything a Canton wallet should be...which is😉 "An independent wallet built to run on the Canton Network...only now in your pocket!" Non-Custodial by Design: Your private keys are generated and stored only on your device. Nobody — including us — can touch your funds. Atomic Settlement: Trades either complete fully or not at all. Real-time finality with zero counterparty risk on the Canton ledger. Global Composability: Interact with any application connected to the Global Synchronizer — no bridges, no silos, one wallet. Trustless Swaps: Swap Canton Coin and tokenized assets peer-to-peer, settled instantly and atomically on-ledger. Sub-Transaction Privacy: Canton shares transaction data strictly on a need-to-know basis. Your activity is invisible to everyone else. Real-World Assets: Hold and manage tokenized RWAs alongside crypto — built for the network where institutional finance settles. *** @WalletConnect Support *** Connect @askar_dex Wallet to dApps on the Canton Network with WalletConnect! Simply scan, approve, and sign every session securely from your phone...😎🔥 2) Runs on the Canton Network 👇 The network where real finance goes on-chain... The Canton Network is a privacy-enabled, interoperable blockchain network designed for institutional-grade assets. @askar_dex Wallet is an independent, non-custodial wallet built to run on this network. 01 Privacy with compliance... canton-network:native is the only public network with sub-transaction privacy. Participants see only the data they are entitled to, while remaining fully auditable. 02 Institutional-Grade Rails... Built by @digitalasset and operated by a decentralized ecosystem of banks, exchanges, and market infrastructure providers moving real value on-chain. 03 The Global Synchronizer... A decentralized interoperability backbone that lets independent applications transact atomically with each other. No Wrapped Assets & No Bridges! 3) The App 👇 Designed to feel effortless... A clean and Very Fast interface for everything you do on the cc rails...from your first Canton Coin, to bridging and swapping tokenized assets, Askar DEX has you covered! *Portfolio - Track Crypto & RWA holdings at a glance *Swap - Trustless Atomic Swaps settled on-ledger *Bridge - Move Assets in & out of Canton *Activity - Full Transaction history with live status *Profile - Manage your identity & security settings 4) Get Started 👇 On the network in three steps... From download to your first atomic transaction in minutes. 1: Download & Install Get Askardex Wallet on your Android device. Setup takes less than a minute. No account or email required 2: Create or Import a Wallet Generate a new wallet with a 12-word recovery phrase, or import an existing one. Keys never leave your device. 3) Transact on Canton! Send, receive, swap, and bridge assets across the Canton Network. Every transaction signed by you, settled atomically...😉 Website: Wallet:
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Salesforce acquires Listen Labs for ~$2b. But who gets the 💰? My usual breakdown below 👇 The company was founded in Sep-23 and had raised less than $100m. Investors will share ~$850m of profits on $96m invested, a ~10x blended. From a huge pivot to a unicorn valuation term sheet they refused, this is truly a wild story ✍️. In the end an incredible outcome for all involved. So let's dive in! 1) The boldest move: walking away from $1.5b 🎲 Listen Labs had a signed $125m Series C term sheet from Menlo at a $1.5b valuation... and walked away from it to sell to Salesforce at ~$2b. This takes a huge amount of courage: few founders turn down a signed unicorn-plus round. @itsalfredw and @florian_jue did it 2.5 years after founding. Huge congratulations are in order for the discipline and execution of the founders here. 2) Founders and team: a life-changing outcome in under 3 years 🥳 By my best estimates, founders and team still own over half the company. At $2b, that's ~$1.1b for them to share. Specifically, assuming a 15% option pool, that is ~$300m for the team and ~$750m for the two co-founders. And, as was the case with Hugging Face, this is all from a pivot. They originally built an AI customer-interview tool to understand why their viral app BeFake was growing, then realised the tool was the business! 3) Sequoia's Bryan Schreier did it again 👑 What few people know is that Bryan was an early backer of Qualtrics... the category Listen Labs is disrupting. Now he led both the seed and the Series A here. By my estimates, those two rounds will return ~$670m combined, or ~25x on ~$27m invested, in under three years. Pattern recognition and industry knowledge have their perks, it would seem! 4) Ribbit: 4x in 8 months ⚡ Ribbit led the $69m Series B in Jan-26 at ~$500m. At $2b, that's ~4x in 8 months. Unbelievable IRR and a great return on a meaningful cheque. 5) Neo does it again, congrats @apartovi 🎯 Listen Labs went through the Neo accelerator early on, which came with a $600k SAFE. On my estimates, that cheque is worth ~$25m+ today. This comes just three months after Cursor's acquisition (a cool >1,000x for Neo). What a hit rate! This one is very straightforward: it is a massive win for everyone. And so congratulations to all involved: Sequoia, Ribbit, Conviction, Pear, Neo and the team!
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Originally, I didn’t want to comment publicly on all of the drama. However, once there were multiple lies and false or exaggerated accusations, I felt I had no choice but to clear my name and state the facts with evidence so that we can put this issue to rest. Regarding the issue with C Ye at Venetian — the post below includes a link to a video from Xuan Liu, who is very reputable in the poker community and was there with me at the time. She can confirm that the floor staff told us they had checked the surveillance footage, and that the amount of chips C Ye actually had at the end of the game was different from the amount she reported to us. People have asked what C Ye’s motivation could have been for misreporting. I can’t say for sure, but I do know that in the days leading up to June 7, she was on a huge downswing across private games, HCL, and baccarat — easily over $100K of her own money. We also later got in touch with someone at the Venetian, who checked their internal records for us and found a record related to the surveillance inquiry. The record shows that the report was reviewed on June 21 at approximately 11:03 PM, and there is an internal report number associated with it. I also have additional evidence supporting my account that Venetian security did in fact help me review the surveillance footage. However, I gave my word that this material would never be shared publicly, and I intend to honor that. That said, we are willing to share the original materials privately with well-respected and credible members of the poker community who genuinely want to review the evidence. If that applies to you, feel free to DM me. Because these materials contain internal Venetian information and involve staff who helped us, we will not post them publicly. We don’t want anyone at the Venetian getting in trouble for helping us. C Ye tweeted that she put all of her chips in my bag ($187K). Venetian told Xuan that C Ye made a cage transaction for $106K after the game. That would explain where the rest of the chips went. Further, attached is a video from Jeff the Cash, who was there that day and says he personally saw chips being taken off the table. Jeff is a very reputable high-stakes player and is willing to publicly speak about what he personally witnessed. Regarding Wesley’s story — attached is a video from Aussie Alan confirming that I never owed anyone money and that Wesley’s allegations aren’t true. Alan also spoke directly with L, the person referenced in Wesley’s post. L apologized to Alan and said that Wesley using his name without his approval was very wrong, especially when what Wesley was saying was not factually correct. The chat confirming this is attached below. Charles, a well-known and reputable player on HCL who was mentioned in Wesley’s story, is also willing to publicly confirm on X that Wesley’s allegations against me are not true. Charles was at the table that day and can confirm two things: first, he had bought action in Hank; and second, Hank did in fact secretly take chips off the table. Charles is willing to speak publicly about what he personally knows and witnessed. Lastly, I want to make it clear that Ryan and HCL had no knowledge of me buying pieces of other players. I understand now that this can create a conflict of interest in certain games, but at the time, I sometimes bought action because I wanted to help younger players who might not otherwise have been able to play in those games. Going forward, I will not do it again. I’m not perfect. I’ve made some mistakes, but never out of a lack of integrity. Things get heated and words get thrown around when poker players are no longer welcome in or able to access games they want to play. Take the evidence below as you wish and decide for yourself. I just wanted one last opportunity to put all of this information and evidence out there, clear things up, and hopefully put this issue to rest once and for all.
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"Just told him that, that when he made that shot I was watching... I was jumping up and down. I remember getting ready for the Draft... we were watching all of the games." Toronto-area native @RjBarrett6 on talking to his new teammate @kawhileonard about the @Raptors 2019 championship run 🏆
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China pork prices, second week of September 2026: Live hogs: ¥11.54/kg (down 0.4% week on week) Pork at farmers' markets: ¥21.22/kg (flat) Pork at wholesale: ¥16.28/kg, down 17.4% year on year Cheaper pork for consumers, tighter margins for farmers. Officials expect prices to move in a narrow range in the short term, as cooler weather lifts demand while some farms speed up sales. Source: China Ministry of Agriculture and Rural Affairs (monitoring of 500 county markets and 200 wholesale markets) #hogs# #pork# #agriculture#
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Eyes down here pretty boy
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I dramatically underestimated the value of Grok Bot in my Tesla. Can you technically do everything you’re able to do with Grok Bot in the Tesla just by launching the app on your phone and going voice mode? Sure. But the magic isn’t in the raw capability itself, it’s in the combination of raw capability and total seamlessness. I often have fleeting thoughts while driving around. Some of these things aren’t significant enough to make me fumble around with my phone while supervising FSD, but when I literally don’t have to lift a finger and can just “Hey Grok” anything computer related into reality, I find myself taking advantage daily. And the little things add up. I’m on my way to work and remembered that I have a few documents on my home computer that I am going to need for work. So I just asked “Hey Grok, can you grab those 4 pdf files from my Mac downloads folder and move them into X folder on my one drive?” Now they’ll be where I need them to be when I get to my desk, and I won’t have to re-download them on my work machine. I have to work on a presentation today for a talk in a few weeks. “Hey grok, go into my sales enablement folder and have Claude Code build me a deck focused on X product for Y industry.” Claude already has my full job context, styling preferences etc and can build a nearly finished deck with a prompt. Now when I get to my desk, instead of building from scratch, I can review and prompt revisions before beginning to dig through my email backlog. Feels insane.
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Hi, Tomorrow we are re-opening the Pro $200 subscriptions to new subscribers, but together with it we are also changing how we calculate the usage for it. In effect, if you do the math, it will net out at half the dollar in API spend compared to the old Pro $200 plan. Now that it's said, let me explain why this is happening and why you will still get more work done than if you were on the Pro $200 subscription one month ago. (a) We didn't want to compromise in other ways and are committing to not reintroducing the 5h limit, so that you can fully use the weekly usage when you want. (b) On the subscription, we guarantee that over time you always get more work done and with an increasing level of quality. This means that you will continue to get more value per dollar spent as a result of models getting more efficient and us passing down the improvements in the form of API price reductions. (c) We don't want to put an incentive on ourselves to artificially inflate the API list prices to make it look like you are getting a lot (and workaround it through discounts, etc). Instead we want to continue to both rapidly reduce prices and increase capabilities of models on the API. This week we introduced GPT-6 Sol and GPT-6 Luna at 50% of their previous price. Over time, we see prices go low enough that it makes sense for most to buy usage as needed without there being a significant gap between what you get in a subscription and what you get in the API for a dollar spent. (d) Tomorrow, we are adding more things to the subscription that won't draw on the usage, I won't reveal what that is yet. I wanted to be transparent before all the big announcements tomorrow. Lots of new exciting things are coming to the subscriptions that will make it super compelling, but I wanted to make sure to share this change ahead of time so you can all understand it before we shower you with good news. Codexingly, Tibo
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胜率49%,一半都不到。 51天,18.2万美元。 他在Polymarket上跑一套会自己改门槛的量化模型,专做BTC Up/Down。 公开账本: 51天,已实现约+182,403美元,日均大约3,500。 36,473次预测,胜率约49%。 均笔不大,靠同一套设置,每小时重复约30次往外刮。 模型只干一件事: 噪声越大,信号必须越强,才允许下单。 阈值随波动走: H = k × σ σ,当前短期波动率。 k,敏感度参数。 H,进入所需的最小信号强度。 盘面安静,H下调,小信号也能过。 波动抬升,H上调,同样的方向直接丢掉。 举个例子: 信号1.8,阈值1.2,下单。 信号1.8,阈值2.3,不做。 同一段走势, 在一种环境里是订单, 在另一种环境里,当没看见。 他不追求神准。 49%的胜率够用—— 过滤掉的是噪声里的假突破, 留下来的才动手。 这个模型最反直觉的地方: 它不预测方向,它只改证据的门槛。 人亏钱,常常是在市场最吵的时候,用最松的标准冲进去。 他反着来: 市场越吵,动手前要的证据越硬。
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