> Article except. The movement of funds followed a pattern often seen in major crypto exploits. Assets were divided among multiple wallets and transferred in several transactions. On-chain records showed repeated ETH transfers ranging from 10 ETH to 50 ETH, alongside a larger transfer of roughly 500 ETH. The attacker also conducted several token swaps before the KuCoin deposit. Transactions included conversions into stablecoins such as USDT and USDC. Analysts noted that the funds were routed through different addresses to make tracking more difficult and obscure the origin of the assets. submitted by /u/zesushv [link] [Kommentare]

Hey everyone, I’m wondering whether there are any newer or more effective methods for fine tuning whisper on domain specific speech. I’m working on a project where the model needs to reliably detect certain specific words and technical terms. The vocabulary and context are mostly in spanish. Does anyone have experience with a similar use case? Roughly how many hours of labeled audio would be needed before seeing the model converged? I know about lora, qlora, and spectrum, but Im curious if there are any newer or better ways to adapt whisper to specific vocabulary. any help is welcome! submitted by /u/gothenjoyer_ [link] [Kommentare]

We just did a big revamp of WeightsLab and wanted to share it here. If you’ve ever spent hours debugging a training run only to discover it was a data problem all along, this is for you. WeightsLab lets you pause training mid-run, inspect your live loss signals, and catch mislabels, class imbalance & outliers before they tank your model. Open source, PyTorch-native, built for CV engineers working with images, videos & LiDAR point cloud data. Would love to hear what the community thinks and if it looks useful, and helps more people find it: [ https://github.com/GrayboxTech/weightslab] submitted by /u/taranpula39 [link] [Kommentare]

Guys, please help by commenting and requesting YouTube tag YouTube on this post. https://x.com/henry58290/status/2068702253570244874 submitted by /u/henry58290 [link] [Kommentare]

Everything You've Been Missing About Satoshi Nakamoto https://primal.net/a/naddr1qvzqqqr4gupzqmxxjq5semtwydpy25pcgugsvztp74mfjynxklrt063hr6rry2mkqythwumn8ghj7un9d3shjtnswf5k6ctv9ehx2ap0qq6k2an9wfuhg6rfdenj67t0w4mx2ttzv4jkuttdd9ehx6twvukkzcn0w46z6umpw3hhx6rf94hxz6mpd4hhgmedeauhjf submitted by /u/HNjames [link] [Kommentare]

I want to dive deep into crypto and Bitcoin, but honestly, the sheer amount of info out there is pretty overwhelming. Most of the stuff I run into online feels either way too technical to understand or just ends up being a sketchy sales pitch/shill for some random coin. Does anyone have a solid list of go-to resources, websites, or video series that cover everything from the absolute basics to the more advanced stuff? I'm just looking for unbiased, A-to-Z guides that actually break down how it all works without the fluff. Appreciate any links or recommendations you can throw my way! submitted by /u/darshil753 [link] [Kommentare]

Hi guys Does anyone know of papers where EMA on LoRA adapters has been used successfully? Im interested in cases where the EMA adapter acts as a self-teacher generating soft labels for the trainable adapter. On-policy self-distillation [1] uses ema for the teacher. However, they seem to fully fine-tune. Any empirical results showing the idea is working on lora/ left models? [1] https://arxiv.org/abs/2601.19897 submitted by /u/South-Conference-395 [link] [Kommentare]

For a long time, I was a very happy Bybit card user, but the upcoming changes starting on August 4th mean it’s simply no longer worth it in my opinion. So, I immediately started hunting for another card that could either replace or surpass it. Over the last two weeks, I have meticulously combed through reviews, crawled project homepages, and cross-referenced data using LLMs like Gemini and Claude. It was incredibly frustrating going through official project sites where it was hard to find the actual relevant, detailed data, while simultaneously getting completely wrong or outdated information from traditional review sites and LLMs. Through this deep dive, I realized that for an EU resident, there simply is no single "perfect" crypto card on the market. Just to be absolutely clear: this post is entirely non-sponsored, and it is not an advertisement of any kind. I have simply spent an immense amount of time researching the current ecosystem and thought putting my findings out there would be helpful for others facing the same Bybit migration puzzle. To give you context, here is exactly what I was looking for in a setup: Euro Native: The primary account balance must be in Euro or a Euro-pegged stablecoin. No Hidden Fees: Payments must settle directly in Euro so there are zero hidden foreign exchange (FX) conversion spreads at the checkout register (which silently bleeds your returns when using USD-centric stablecoins like USDC). Strong Rewards: A baseline cashback rate of at least 2% optimized for my roughly €2,000 of monthly daily spending, backed by a reasonable cap (not a restrictive €10 or €15 per month limit that renders heavy spending useless). Savings Yield: A competitive passive interest rate on an idle capital pool of around €10,000 when it isn't being spent. Minimal Upfront Investment: I wanted to avoid tying up massive amounts of capital in highly volatile, platform-specific ecosystem tokens just to unlock baseline card features. Tax-Neutral Rewards: The cashback engine must align cleanly with Austrian tax law ($\S$ 27b EStG). Commercial cashback and loyalty rewards received on platforms like COCA or Ether.fi are legally treated as a purchase price reduction (Anschaffungskostenminderung). Because they enter your wallet with an acquisition cost of exactly €0, receiving the cashback does not trigger an immediate income tax event, keeping the initial payout completely tax-free. Since no single card could check every single one of these boxes without major compromises, I stopped looking for a silver bullet and settled on a powerful 2-card setup: the COCA card combined with the Ether.fi Cash card. The 2-Card Setup Breakdown To check all my boxes, I split my funds across two cards, assigning each a distinct role based on their actual mechanics—not the misleading marketing fluff on review sites. Card 1: The COCA Card (The Primary Engine) Funding & Balance: You deposit and hold raw Euro natively. The Setup: I bought 300 COCA tokens (roughly €350) to unlock their "Standard Tier." The Rewards: This tier grants a strong 3% cashback on your first $1,000 of monthly spending. Once you pass that limit, it defaults to a flat 1% cashback with absolutely no cap. As an added bonus, it gives me a 50% rebate on my Netflix subscription. Payout: Rewards are accumulated and paid out once a month directly in USDC. The Catch: While COCA advertises a passive yield, this high-yield account is exclusively available for USD stablecoins, leaving your native Euro balance sitting at 0% APY. Card 2: The Ether.fi Cash Card (The Vault & Initial Spender) Funding & Balance: You deposit Euro via bank transfer, and the app instantly and automatically converts it into EURC (a fully backed Euro stablecoin) with zero conversion fees. Your balance is held securely on-chain in EURC. The Setup: I am using the completely free "Base Tier," which requires zero token staking or upfront investment. The Rewards: Don't let generic online review sites confuse you—there is a massive difference in cashback limits depending on whether you spend USD or EUR. On the native Euro side, the base tier gives you 3% cashback on your first €800 of spending, dropping to 1% on the next €700, and tapering to 0.1% after that. Payout: Cashbacks are settled and paid out in USDC instantly after a transaction. The Yield: A lot of outdated reviews claim that you earn yield automatically just by leaving your money in the wallet. That is completely false. To earn interest, you must manually move your funds under the "Earn" section of the app into their DeFi/Liquid vaults. It's an extra step, but it yields a highly competitive 3.5% to 5.5% APY depending on market supply and demand. There are no fixed lock-up timelines, so you can withdraw back to your spending balance instantly, and your interest is paid out daily in EURC. My Tactical Routine By combining these two distinct card architectures, I created a highly efficient spending loop that satisfies my entire checklist: The Daily Opener: Every month, I channel my primary daily expenses through the Ether.fi Cash card to extract that clean 3% cashback on the first €800. The Overflow: The exact moment I cross that €800 threshold on Ether.fi, I pivot entirely to my COCA card to capture 3% on the next $1,000 (approx. €915), followed by an uncapped 1% on everything else. The Capital Pile: My €10,000 savings pool is parked directly inside Ether.fi’s Earn vault, pulling a solid 3.5% to 5.5% daily interest while remaining completely liquid. The Financial Math (My Expected Value) Based on my fixed €2,000 monthly spending layout and a conservative 4.5% average APY on my €10,000 savings vault, here is the exact value return: Source Monthly Value Yearly Value Ether.fi Cash (3% on €800) €24.00 €288.00 COCA Card (3% on next $1,000 / ~€915) €27.45 €329.40 COCA Card (1% on remaining ~€285) €2.85 €34.20 Netflix Subscription (50% Rebate on Standard HD) €6.50 €78.00 Ether.fi Earn Yield (4.5% APY on €10,000 Vault) €37.50 €450.00 Total Value Generation €98.30 / mo €1,179.60 / yr Bonus: The 3-Platform Yield Alternative vs. Simplicity If you are open to managing three different platforms simultaneously to extract every last drop of yield, there is a strong optimization option for your savings: You could use Ether.fi and COCA strictly for their cashback benefits, and move your idle savings over to Nexo. Even on Nexo's completely free Base Tier (with zero staking requirements), you can lock your Euro to get a flat 5.5% APY paid out in EURx (their Euro stablecoin). If you choose to receive your interest payout in their native NEXO token instead, that yield bumps up to 7.5% APY. However, because I value simplicity and prefer managing fewer apps and dashboards over chasing absolute maximum value, I personally prefer sticking strictly to my 2-card setup. It hits the sweet spot of high performance without the tracking headaches. The Only Viable 1-Card Alternative: Gnosis Pay If you absolutely refuse to manage multiple platforms and insist on a single "jack-of-all-trades" card, the only viable 1-card contender right now is Gnosis Pay. However, there is a massive clock ticking here: Gnosis is running an Intermediary Cashback framework that is scheduled to end on June 30th. They are expected to announce significant overhauls to their reward system by the end of the month. If the current system stays the same or actually improves, it might be worth a look. Under the current system, the layout looks like this: The Setup: You must buy and hold 10 GNO tokens (roughly €950) directly in your self-custodial card Safe wallet to unlock a 3% base cashback rate. The NFT Trick: If you hit their standard spending milestone (€700 within an eligible window), you receive an OG NFT drop. Holding this NFT permanently stacks an extra +1% cashback, bringing your total to 4% cashback. The Yield: Similar to Ether.fi, it lets your funds grow natively on-chain in Euro stablecoins (EURe) via integrated partner apps (like Zeal) at around 5% APY. The Downside (The Fine Print): Contrary to what many major review sites and blogs mistakenly claim, your cashback is heavily restricted. There is a strict spending limit of $500 per month eligible for cashback. Once you pass that $500 mark in a single month, your rewards completely stop. Furthermore, unlike the clean stablecoin payouts of my 2-card setup (which pays in stable USD stablecoins), Gnosis pays your cashback entirely in GNO tokens. This adds exposure to a volatile asset that you have to manually trade out of if you want stable value. For heavy daily spenders, that monthly bottleneck and token exposure are major roadblocks—which brings me right back to why my 2-card setup wins on flexibility. Disclaimer: No referral links inside the post to keep it purely objective. If you want to support the write-up and need a sign-up link/code for either of the platforms mentioned, or if you simply want to chat and get more detailed information about how I set everything up, feel free to drop a comment or send me a DM! ⚡ TL;DR: My Post-Bybit Setup (EU/EEA) If you are looking to replace the Bybit card after the August 4th changes, don't waste time hunting for one "perfect" replacement—there isn't one. Instead, I built a zero-fee, tax-neutral (Austrian $\S$ 27b EStG compliant) 2-Card System optimized for €2,000 monthly spending and €10,000 in savings: Card 1: Ether.fi Cash (Base Tier - Free) Role: First €800 of monthly spending. Perks: 3% instant cashback (in USDC). Native Euro deposits automatically held in stable EURC. Savings: Moving excess funds to their "Earn" vault pulls 3.5% - 5.5% liquid APY (daily payouts in EURC). Card 2: COCA Card (Standard Tier - ~€350 token buy) Role: The Overflow Engine. Perks: Takes over after €800 to give 3% cashback on the next $1,000, then a flat, uncapped 1% on everything else. Plus a 50% Netflix rebate. Paid monthly in USDC. 💰 The Bottom Line: For my layout, this simple 2-app combo pumps out ~€98/month (~€1,180/year) in pure, tax-neutral value without forcing me to manage a messy 3-platform yield stack (like Nexo) or dealing with the tight $500 monthly cashback limits and volatile GNO token payouts of Gnosis Pay. Drop a comment or shoot me a DM if you want more details or the signup links! submitted by /u/MiNdAmaZing [link] [Kommentare]

Hey! I came across this post, which I found quite neat as a minimal demonstration of JEPA. However, as the comments pointed out, there was some room for improvement. So I added a few things such as environment noise and a fair* comparison to a pixel-space baseline. I think the inclusion of environment noise is pretty key, as LeCun himself has stated often and clearly that one of the key motivating factors for JEPA is its ability to disregard unpredictable and irrelevant environment details. Anyway, here’s the result which I think speaks for itself: https://i.redd.it/kadcsrx4nn8h1.gif I think my version paints a much clearer picture of JEPA’s promise. I did remove the web-demo and anomaly detection bit as I felt that wasn't so important to the core demonstration of JEPA as an idea Linking my fork for those interested. Note: Since this was a very quick afternoon-project , I did use AI to make most of the changes, though I did try to do so thoughtfully. Hate that if you must. *fair as in: roughly same parameter count and compute budget. I considered the linear probe and decoder compute budget to be independent from core model training. submitted by /u/Kirne [link] [Kommentare]

I’m working on a concept called CENTAUR — a self-balancing single-wheel vehicle combined with an embodied AI companion. It’s not positioned as a scooter or e-bike. It’s designed as a personal mobility companion that learns you over time. Core idea A vehicle that: balances itself (single-wheel platform) carries you safely in urban + off-road environments has an AI personality that evolves with your behavior remembers places, routes, and shared experiences communicates through a physical “face” (eyes + expressions) actively supports safety in real time What it includes (MVP concept) Self-balancing single-wheel system Ride + follow modes AI voice companion (local edge model) Memory system (routes, preferences, history) Safety assistant (fatigue, risk detection, emergency response) Expressive front “face” (eyes + basic emotions) Safety-first design Real-time balance + obstacle avoidance runs locally (

​ I've noticed that most traders eventually switch exchanges at some point. Sometimes it's because of fees, sometimes security concerns, and sometimes just a better user experience. ​ What was the main reason you left an exchange and moved to a different one? ​ Lower fees? Better security? Faster withdrawals? Better customer support? More trading pairs? ​ Curious to hear everyone's experiences. submitted by /u/Splinters_suck [link] [Kommentare]