IESEB

@Bongo__Fury @OckersM @wbanos Yea, please check with Stefan Tilger, the interim CEO of Nexperia, who stole Nexperia from it's Chinese holder last October.

@OckersM @wbanos Were it not that Nexperia is now Chinese and the CEO that was sidelined by the Dutch government just sued them for € 8 billion.

US, Germany, Netherlands. We can do something about this. And we must.

@Pavel52066593 Yea, please check with Stefan Tilger, the interim CEO of Nexperia, who stole Nexperia from it's Chinese holder last October.

Ракеты Х-101, ударившие по Киеву были изготовлены во 2-м квартале 2026 . Содержали микросхемы американских брендов, таких как Texas Instruments, AMD и Kyocera AVX, а также немецкой Harting Technology Group, нидерландской Nexperia. Так что как-то так, блядь!!!!

@ChristopherJM Yea, please check with Stefan Tilger, the interim CEO of Nexperia, who stole Nexperia from it's Chinese holder last October.

The Russian Kh-101 cruise missile that killed 12-year-old Liubava Yakovleva in Kyiv on Thursday was produced in Q2 this year with western components, likely those that were also found in a Kh-101 missile that struck Ukraine on Jan 20. Those included parts from US companies like Texas Instruments, Germany’s Harting Technology Group, and the Netherlands’ Nexperia. ft.com/content/c48c21…

@WilSchackmann Yea, please check with Stefan Tilger, the interim CEO of Nexperia, who stole Nexperia from it's Chinese holder last October.

De raket die vrijdag een flatgebouw in Kiev verwoestte, is dit jaar geproduceerd en bevat componenten van het in NIJMEGEN gevestigde bedrijf NEXPERIA. Die componenten kunnen alleen in Rusland zijn gekomen door sancties te ontwijken. nos.nl/artikel/261439…

@baldy1966 @NLD_SOCOM_Fella @jurgen_nauditt Yea, please check with Stefan Tilger, the interim CEO of Nexperia, who stole Nexperia from it's Chinese holder last October.

@NLD_SOCOM_Fella @jurgen_nauditt Yep nexperia makes the chips and sell them to all countries and has an head office in china

The USA, Germany, the Netherlands—killing Ukrainians. Russian missiles that attacked Kyiv contained more than 100 Western-made components – FT. According to the report, which cites Ukrainian officials, all Kh-101 cruise missiles—fragments of which were identified following strikes in the capital—were manufactured in the second quarter of 2026. The Kh-101 missile—identical to the projectile that struck a residential building and was examined following the attack on January 20—contained microchips from US brands such as Texas Instruments, AMD, and Kyocera AVX, as well as from Germany’s Harting Technology Group and the Dutch company Nexperia.

@WilSchackmann Yea, please check with Stefan Tilger, the interim CEO of Nexperia, who stole Nexperia from it's Chinese holder last October.

Via die serienummers zou toch ontdekt kunnen worden hoe het in NIJMEGEN gevestigde NEXPERIA de sancties omzeilt? defencematters.eu/russian-missil…

@Dutch_Bandera @jurgen_nauditt @MinPres @DefensieMin @rubenbrekelmans @jpaternotte Yea, please check with Stefan Tilger, the interim CEO of Nexperia, who stole Nexperia from it's Chinese holder last October.

@jurgen_nauditt @MinPres , @DefensieMin , @rubenbrekelmans , @jpaternotte Hoe lang gaat het nog duren voor dit serieus en hard aangepakt gaat worden? Nexperia componenten hebben vrijwel zeker serienummers en moeten dus te traceren zijn.

FOMO! check your wallets!

@bxiaokang 要发财了

手上这越长越大的小疙瘩是什么玩意？ 身体在释放什么信号？

FOMO Reward Season 1 is live. AI inference now fuels an onchain reward loop on @base. Rewards are now open for users to earn and claim — through real AI usage. This is not an incentive program for speculators, but real AI users.

@bxiaokang 如果罗老师来币圈了，那币圈就真完了。罗老师，乃行业冥灯…锤子手机…空气净化器…电子烟…社交软件…全灭😂😂

@iesebsch 😂

罗永浩怎么关注了这么多币圈账号😂 他来推特的主要目的， 不会也跟我们一样是为了炒币吧？

We built @Surf_Liquid AI that trades @Polymarket sports markets while you sleep. Six weeks. 34 upgrades. 605 paper trades. All three strategies profitable. +$3,737 in returns. Here's what it actually does: → Listens to live score data from every match on Polymarket simultaneously → Runs sport-specific probability models on every single score change → Finds the moments when the market hasn't repriced fast enough → Executes before the odds catch up → Tennis modelled point by point. Soccer is modelled by goal rate. Hockey and basketball are built differently. → One generic model doesn't survive contact with real sports. So we built one engine per sport. Three strategies. One AI. Three risk levels: 1. Conservative: strictest signals, lowest drawdown. Your money is treated like savings. 2. Active: wider signal range, more trades, more upside, more variance. 3. Calibrated: the interesting one. Same signals as Active, but every probability runs through a self-correction layer first. If the model says 80% but history says 73%, it trades the 73. Gets smarter every day. Here's the part I want to talk about. In late April, we caught ourselves inflating our P&L. The bot was assuming fills at the quoted price. Real markets don't work that way. You walk the order book. Every batch fills worse than the last. We shipped an honest fill simulation. Our paper P&L dropped meaningfully the same day. That drop is the entire point. If your simulated fills are better than your real fills will ever be, you're flattering yourself. Then last Tuesday we found a bug. A safety mechanism in the hedging path had been failing silently for weeks. Hundreds of failures per day. None flagged. None surfaced. The system was profitable anyway. That sentence bothers me more than the bug itself. Good performance hiding a broken safety system is exactly what kills strategies three months from now. We fixed it. Wired up a live monitor that fires the moment the hedge's success rate drops below the threshold. This is Surf Prediction Vaults. You deposit stables. Pick a risk level. The AI does the rest. You never touch Polymarket. Sports is live. The weather is next. Crypto follows. Building this in the open. The good weeks and the bad ones. The wins and the bugs were caught silently for a month. If you trade prediction markets or build in this space, I want to hear the strongest argument against what we're doing. Full write-up with the architecture, the Guardian Layer, the numbers and the path to real capital: x.com/shivamtas/stat…

Three days back in the green! Not a bounce, the algo just kept working through the drawdown, both sides, every session, no adjustments. +0.64% → +1.14%. momentum building. nav: $0.9138

@bxiaokang @Conflux_Network @forgivenever @FanLong16 没有拉盘，差评

GM！#Conflux树图数字金融与生态发展大会 @Conflux_Network @forgivenever @FanLong16

Q2 isn't a maintenance period, it's a build period. What's happening inside the engine right now: → existing strategy getting sharper. tighter execution, better signal filtering → backtesting a new strategy on a completely different asset class → broader architecture in progress -> infrastructure that goes beyond vaults The vault was a proof of concept. What we're building toward is a platform. More on all of this soon.

maicrotrader | dev update [08.05] Quiet week on the surface, heavy week underneath. The team is heads-down on what might be the biggest upgrade to the delta neutral strategy since launch, not a tweak, a meaningful step up in how the agents operate. on the quant side: → New strategy in active backtesting → New execution environment is being built in parallel to support it → The agents don't go live until the numbers say so, that's the rule. on the dev side: → internal automation workflows are getting a significant upgrade → less manual overhead, faster iteration, tighter feedback loops between quant and execution layers This is what pre-stage prep looks like. not flashy. just the right work at the right time. Next stages incoming.

BREAKING: FLock.io is the ONLY technical partner in an MoU signed by Sarawak Artificial Intelligence Centre (SAIC) during the UK–Sarawak strategic roundtable in Manchester to advance sovereign AI in Sarawak through federated learning and private AI infrastructure. We are the first in the world to use FL to train and fine-tune a language model on indigenous languages.

I have spent 13 years trading futures. More than $245M in cumulative volume. More than a thousand strategies tested. I have run a fund. I have seen what blows up and why. The one thing I never had was a system that could execute with the same discipline I would, every single time, without fatigue, without emotional override. And the one thing the industry never had was a safety layer that mathematically prevents the system from breaking its own rules. Now both exist. That is what Surf is. The past few months proved it. While exploits drained hundreds of millions across DeFi, every SurfLiquid vault held. Every Guardian rule fired exactly as designed. We then reverse-engineered every single attack that hit other protocols, confirmed our architecture would have caught each one, and tightened it anyway. The market gave us a live stress test. We passed and came out stronger. But surviving exploits is table stakes. The real question is: what are we building and why does it matter? DeFi has a structural problem. The best yield strategies require active management, deep market knowledge and constant execution. Those with that expertise cannot scale it. The people who want access to it have to trust black-box pooled vaults that concentrate risk into a single point of failure. Surf closes it. One platform where every vault runs on individually isolated smart contracts, AI handles execution across lending, liquidity, trading and prediction strategies, and a Guardian Layer enforces risk rules that cannot be overridden by anyone, including us. Simple and transparent UX Deposit USDC, pick the vault that matches your risk profile, let AI do the work. Your capital never leaves your vault. Your vault never touches anyone else's. Lending Vaults are live, delivering 15%+ APY on USDC across audited venues on Base and Polygon. Liquidity Vaults for BTC, ETH and tokenised Gold coming to mainnet. Trading Vaults combines everything I have learned over 13 years in futures with AI execution under Guardian enforcement. Every strategy proves itself on-chain before it opens to a single user. Prediction strategies in active validation. Ethereum mainnet deployment is in development. The Surf SDK turns all of this into infrastructure. We are already in conversations with major wallets, neobank consumer apps and card providers about plugging Surf's vault architecture into their products. Their users get the yield and the safety. We get distribution at zero acquisition cost. That is how a product becomes a platform. We run the entire operation on AI. Marketing, competitive intelligence, content and community management. A purpose-built autonomous operations layer. Same philosophy as the vaults: AI executes, rules enforce, humans decide. $107M+ in ecosystem volume. $1.24M in protocol revenue. A team that fits in one room shipping faster than companies with a hundred times the burn. 13 years of trading. Three years of building. Everything is converging into one platform.

.@deepseek_ai V4 Pro and V4 Flash are now live on FLock API Platform. Frontier coding at $0.28 per million tokens. V4 Pro: 1.6T/49B active, ranked top 2 open model on the Intelligence Index. V4 Flash: 284B/13B active, Sonnet 4.6-level reasoning. Both 1M context, open-weight, hybrid thinking modes, and configurable reasoning modes. This is just the beginning. More models are coming soon.