@Timo

Hi all, I'm looking for literature on relatively specific tooling. In autoregressive LLMs, there is substantial published work that used NLI on sub-claims produced by LLMs to gauge correctness of LLM answers. In diffusion (or D-) LLMs, the SoTA model generations that I see (outside of perhaps LLaDA) seem to struggle to be as correct syntactically as the generations from premier AR LLMs, in addition to the issue of semantic correctness. My intuition is that this complicates the usage of NLI (the syntactic noise). What is the SoTA on syntax-robust NLI? submitted by /u/RepresentativeBee600 [link] [Kommentare]

I've noticed something interesting while browsing ML, Data Science, and programming books. A surprising number of them have animals on the cover. Not just one or two books, but entire shelves full of them. Examples include books on Python, Machine Learning, Hadoop, Linux, Data Engineering, and many other technical topics. I was curious: - Is there any historical reason behind this? - Do the animals have some symbolic connection to the subject matter? - Did one publisher start the trend and others copied it? - Or is it purely a branding/design choice? I'm especially curious about whether specific animals were intentionally chosen to represent certain technologies or if they're mostly random. Would love to hear the story behind this from people who've been in tech longer than I have. submitted by /u/Rough-Usual-275 [link] [Kommentare]

TL;DR for anyone who doesn’t click: Binance is adding bStocks, which are 1:1-backed tokenized U.S. securities issued as BEP-20 tokens on BNB Smart Chain. In plain English, that means users can access tokenized versions of stocks through BNB Chain, trade them 24/7, keep them in self-custody wallets like Binance Wallet or Trust Wallet, and use them across DeFi protocols instead of leaving them stuck inside a traditional brokerage account. The blog says bStocks will support zero-fee 1:1 conversion, daily Proof of Collateral, and DeFi integrations with protocols like Venus, Lista DAO, PancakeSwap, and Aster. The first supported assets include tokenized exposure to Circle, Micron, NVIDIA, Sandisk, and Tesla, with SpaceX listed as an upcoming asset. BNB Chain is pushing tokenized stocks beyond simple trading. The aim is to make real-world assets usable across DeFi, where users can hold, move, trade, lend, or provide liquidity with tokenized securities while staying in control of their assets. submitted by /u/FTXACCOUNTANT [link] [Kommentare]

Firetiger runs a fleet of agents that investigate incidents, monitor deployments, and dig through telemetry on behalf of our customers. Every one of those agents is, at its core, a loop around an LLM, which means our single biggest cost of goods sold is inference. The models we choose to

Fully Open Foundation Model for Sovereign AI

TL;DR: Both ONTO Wallet and Worldcoin aim to prove you are human for the AI era. However, Worldcoin requires scanning your iris with an Orb, while ONTO uses decentralized identity and zero-knowledge proofs, offering a more privacy-preserving alternative. As AI becomes indistinguishable from humans online, "Proof of Human" has become one of the most critical challenges in tech. Two major Web3 projects are tackling this, but with radically different philosophies: Worldcoin and ONTO Wallet. Worldcoin's approach is hardware-based and biometric. They require users to visit a physical "Orb" to scan their irises, creating a unique hash to prove personhood. While effective, this has raised massive privacy concerns globally [1]. ONTO Wallet takes a software-based, cryptographic approach. It uses ONT ID (Decentralized Identity) and zkTLS (Zero-Knowledge Transport Layer Security) to verify your digital footprint and credentials without requiring biometric data. | Feature | Worldcoin | ONTO Wallet | | :--- | :--- | :--- | | Verification Method | Biometric (Iris Scan) | Cryptographic (DID & zkTLS) | | Hardware Required | Yes (The Orb) | No (Just a smartphone) | | Privacy Concerns | High (Biometric data collection) | Low (Zero-knowledge proofs) | | Primary Use Case | Universal Basic Income (UBI) | Data Monetization for AI | If you are uncomfortable handing over your biometric data to a centralized entity, ONTO Wallet provides a secure, privacy-preserving way to prove your humanity and monetize your data in the AI economy. Q: Does ONTO Wallet collect my biometric data? A: No. ONTO relies on cryptographic proofs and your verified digital history, not physical biometrics. Q: Why is "Proof of Human" important for AI? A: AI models need to train on data generated by real people to avoid degradation. They also need to filter out bot traffic to maintain the integrity of their systems. Q: Can I use both? A: Yes, they are not mutually exclusive, but they serve different primary purposes and have different privacy implications. References [1] "Privacy Concerns Surrounding Worldcoin's Orb," Wired, 2025. submitted by /u/Rc7xn [link] [Kommentare]