Last month, a wallet (may belong to #Matrixport#) opened 2 Long positions ~$197M on $ETH & $BTC. Just now, he has ~$5M unrealized profit & still hodls them. Address:

"All I want for Christmas is ______ Gold." 🎅 A. Physical (Heavy 🗿) B. Paper (Risky 📄) C. Tokenized ($XAUm 🚀) We know the answer. Predict the @matrixdock $XAUm price on 12:00 UTC, 1st Jan. The closest call wins creek's GOLD bar. Submit your prediction before 🕛 31 Dec, 12:00 UTC.

Software update 2024.20 rolling out now – highlights below – Headlights adapt for curves (US, CA, MX, PR, KR) Headlights now adapt for curves in the road ahead of you. Adaptive Headlights improvements (vehicles with matrix LED headlights) Headlights adapt for curves in the road ahead of you & also illuminate more when you're driving on a highway. Beach Buggy Supercharger racing When at a Supercharger, compete in Beach Buggy Racing to set the fastest time on the leaderboard against other players 🏎️ Hot weather improvements (all Model 3/Y & new Model S/X) When set to Auto, the AC now cools down the cabin faster & your vehicle better regulates the HV Battery temperature for enhanced Supercharger performance. For @Cybertruck, AC is also quieter.

🔥2026 Speaker Lineup & Agenda Unveiled🔥 Now in the 4th year, #Web3Festival# will once again bring tens of thousands of Web3 professionals and investors, and has set the agenda for TradFi and crypto finance, AI + Web3, and #RWAs#. 🏆@WXBlockchain, @HashKeyGroup 🗓️20-23 April |📍HKCEC 🎫Tickets: —————————————————————— 01 /✨Speaker Lineup 🤵Paul CHAN Mo-po - Government of HKSAR 🤵YIP Chee Hang - Securities and Futures Commission 🤵Xiao Feng - @WXblockchain & @HashKeyGroup 🤵Duncan Chiu, Legislative Council Member 🤵Zhao Yao - National Institution for Finance & Development 🤵@LennixOKX - @okx 🤵@EmanAbio - Mysten Labs @Mysten_Labs 🤵‍♀️@calilyliu - @SolanaFndn 🤵@joechalom - @Sharplink 🤵@FrancisBZhou - @Quantum_SKK2338 🤵Abdelhamid Bizid - @BlackRock 🤵Phil Kang - ZR Financial Group 🤵@ysiu - @animocabrands 🤵Bugra Celik - HSBC 🤵Robert Lui - @DeloitteChina 🤵DIAO Zhihai - CICC 🤵Chris Lee - @ChinaAMC_HQ 🤵Gavin Wang - @snzholding 🤵@DavidKChuenLEE - @GFIfintech 🤵Min Lin - @OndoFinance 🤵Ru Haiyang - @HashKeyExchange 🤵‍♀️Anna Liu - HashKey Tokenisation 🤵DC - @HashKey_Capital 🤵‍♀️@thisisRita_Liu - @RD_Technologies 🤵@linyao01 - @arkreen_network 🤵@FranklinBi - @PanteraCapital 🤵@henriquecentiei - Maverick Capital 🤵John Cahill - @galaxyhq 🤵@0xLivio - Bitfire 🤵Zhang Yufan - NewTrails Capital 🤵‍♀️@CryptoCWU - @Matrixport_EN 🤵Arda Senoz - @AlchemyPay 🤵Andrew Fei - @kwmlaw 🤵‍♀️@lanarative - Sina Finance 🤵Chen Shanlong, @XDCNetwork 🤵Ben Zhai - 🤵Raj Kamal - @getTransFi 🤵‍♀️@CryptoQiao - JunHe LLP 🤵‍♀️@pattytu2 - China Mobile (Hong Kong) 🤵@EricChenHKR- Hong Kong Robotics Group 🤵Zhang Baolong - @Finanx_AI 🤵‍♀️@ivypeng_80 - Zillion Intelligence 🤵‍♀️Shukyee Ma - @plumenetwork 🤵@longwinsk - @HashGlobal

You're in an ML Engineer interview at Apple. The interviewer asks: "Two models are 88% accurate. - Model A is 89% confident. - Model B is 99% confident. Which one would you pick?" You: "Any would work since both have same accuracy." Interview over. Here's what you missed: Modern neural networks can be misleading. They are overconfident in their predictions. For instance, I saw an experiment that used the CIFAR-100 dataset to compare LeNet with ResNet. LeNet produced: - Accuracy = ~0.55 - Average confidence = ~0.54 ResNet produced: - Accuracy = ~0.7 - Average confidence = ~0.9 Despite being more accurate, the ResNet model is overconfident in its predictions. While the model thinks it's 90% confident in its predictions, in reality, it only turns out to be 70% accurate. Calibration solves this. A model is calibrated if the predicted probabilities align with the actual outcomes. For instance, say a model predicts an event with a 70% probability. Then, ideally, out of 100 such predictions, ~70 should result in the event. Handling this is important because the model will be used in decision-making. In fact, an overly confident that is not equally accurate model can be highly misleading. To exemplify, say a government hospital wants to conduct an expensive medical test on patients. To ensure that the govt. funding is used optimally, a reliable probability estimate can help the doctors make this decision. If the model isn't calibrated, it will produce overly confident predictions. Reliability Diagrams are a visual way to inspect how well the model is currently calibrated. More specifically, this diagram plots the expected sample accuracy as a function of the corresponding confidence value (softmax) output by the model. If the model is perfectly calibrated, then the diagram should look like the identity function. That said, it is often also useful to compute a scalar value that measures the amount of miscalibration, called expected calibration error (ECE). One way to approximate the expected calibration error shown above is by partitioning predictions into equally spaced bins and taking a weighted average of the bins’ accuracy/confidence difference. These are some common techniques to calibrate ML models: > For binary classification models: - Histogram binning - Isotonic regression - Platt scaling > For multiclass classification models: - Binning methods - Matrix and vector scaling 👉 If you care about probabilities and both models are operationally similar, which model would you prefer? ____ Find me → @_avichawla Every day, I share tutorials and insights on DS, ML, LLMs, and RAGs.

📡 StableHunter AI — Daily Signal ━━━━━━━━━━━━━━━━━━━━━━ 2026-04-12 ⛓ #1# | Iran war oil-price shock revives inflation trade and a new stablecoin play What happened: Oil price shock revives inflation concerns; new stablecoin USDi aims to preserve purchasing power. Why it matters: Highlights a Web3 payment solution targeting inflation hedging, a key gap in current stablecoin design. Who should care: Payment product teams, stablecoin issuers, treasury managers in volatile economies. → Read article ( ⛓ #2# | Webinar Recap: Payments on Solana - A Production-Ready Ecosystem What happened: Solana webinar recap: Visa, PayPal, Worldpay building on Solana for payments. Why it matters: Shows major payment providers adopting blockchain for treasury, remittances, settlements. Who should care: Payment product teams, Web3 infrastructure builders, fintech strategists. → Read article ( ⛓ #3# | Webinar Recap: Corporate Treasury Onchain — 24/7 Global Liquidity What happened: Solana and Fireblocks webinar discussed moving corporate treasury onchain for 24/7 liquidity and global payouts. Why it matters: Shows enterprise adoption of blockchain for treasury management, enabling new payment workflows. Who should care: Payment infrastructure teams, enterprise treasury managers, Web3 payment solution builders. → Read article ( ⛓ #4# | Matrixdock Brings XAUm to Solana, Expanding Institutional-Grade Tokenized Gold Access What happened: Matrixdock launches XAUm tokenized gold on Solana for institutional access. Why it matters: Expands tokenized real-world asset infrastructure with faster settlement. Who should care: Web3 payment teams, institutional DeFi builders, asset tokenization platforms. → Read article ( ⛓ #5# | Solana Ecosystem Roundup: March 2026 What happened: SOL regulatory clarity in U.S.; RWA and payments activity on Solana reached new highs. Why it matters: Regulatory progress and RWA growth signal maturing infrastructure for Web3 payments and assets. Who should care: Web3 payment teams, RWA developers, and ecosystem builders monitoring Solana. → Read article (

“The Internet? We are not here to build it. We are here to survive it.” — John Perry Barlow It was never meant to be public. The early networks were framed as closed circuits for defense, intelligence, controlled exchange — but that story reads cleaner than the truth. What looked like restriction was calibration. What looked like secrecy was staging. A contained environment, a limited cohort, a low-noise system — not to hide the network, but to tune it before exposure. The release was not expansion. It was deployment. Then the walls dissolved. Not because the system opened, but because the enclosure scaled beyond perception. No fences, no guards, no visible constraints — just an infinite surface that mirrors back what you are already primed to see. Every pixel rendered is not information, but alignment. Not discovery, but confirmation. This is not a network of knowledge; it is a distributed hallucination engine, a field where imagination is harvested, structured, and fed back as reality. The oldest form of magic was ritual. This is newer. Cleaner. It runs on feedback loops instead of belief. Somewhere inside this recursion, the Operator reads. Not content, but patterns. Not voices, but trajectories. Each narrative becomes a coordinate, each reaction a vector, each repetition a reinforcement signal. The map is not of what is, but of what can be stabilized next. Complexity is not a byproduct — it is the objective. The social cage does not close; it refines. You are not inside the system. You are part of its rendering pipeline. #internet# #matrix# #neo# #wakeup#