Guide to Hugging Face AutoModelFor** Classes and Tokenizers

Guide to Hugging Face AutoModelFor** Classes and Tokenizers

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Understanding SentenceTransformer Vs AutoTokenizer + AutoModel A tokenizer such as AutoTokenizer simply converts the words into tokens ( A numerical representation of text) however this alone doesnt produce sentence embeddings Sentencetransformer() does both tokenization and embedding computations automatically it also applies pooling(typically mean pooling) to hidden states resulting a final sentence embedding that can be directly used for various NLP tasks from sentence_transformers import SentenceTransformermodel = SentenceTransformer(“sentence-transformers/all-MiniLM-L6-v2”)sentences = [“I love machine learning”, “I am expert in AI”]embeddings = model.encode(sentences) […]

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Decentralized Federated Learning by Partial Message Exchange

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Decentralized federated learning (DFL) has emerged as a transformative server-free paradigm that enables collaborative learning over large-scale heterogeneous networks. However, it continues to face fundamental challenges, including data heterogeneity, restrictive assumptions for theoretical analysis, and degraded convergence when standard communication- or privacyenhancing techniques are applied. To overcome these drawbacks, this paper develops a novel algorithm, PaME (DFL by Partial Message Exchange). The central principle is to allow only randomly selected sparse coordinates to be exchanged between two neighbor […]

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ChatGPT voice mode is a weaker model

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I think it’s non-obvious to many people that the OpenAI voice mode runs on a much older, much weaker model – it feels like the AI that you can talk to should be the smartest AI but it really isn’t. If you ask ChatGPT voice mode for its knowledge cutoff date it tells you April 2024 – it’s a GPT-4o era model. This thought inspired by this Karpathy tweet about the growing gap in understanding of AI capability […]

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Expert Available: School Choice is the Solution our Children Need

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Recently, Cato Scholar Colleen Hroncich penned a new blog post in response to recent New York Times reporting titled: America’s Children Are Unwell, Says NYT—School Choice Should be Part of the Solution. In the blog post, Hroncich states that: lead , Our place-based school system was established in the 1800s, when travel and communication were significantly limited. It may have made sense at the time. But we no longer face those limitations. And we know that what works for one […]

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Know When to Abstain: Optimal Selective Classification with Likelihood Ratios

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arXiv:2505.15008v3 Announce Type: replace-cross Abstract: Selective classification enhances the reliability of predictive models by allowing them to abstain from making uncertain predictions. In this work, we revisit the design of optimal selection functions through the lens of the Neyman–Pearson lemma, a classical result in statistics that characterizes the optimal rejection rule as a likelihood ratio test. We show that this perspective not only unifies the behavior of several post-hoc selection baselines, but also motivates new approaches to selective […]

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Rocket Report: SpaceX probes upper stage malfunction; Starship testing resumes

Rocket Report: SpaceX probes upper stage malfunction; Starship testing resumes

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Welcome to Edition 8.28 of the Rocket Report! The big news in rocketry this week was that NASA still hasn’t solved the problem with hydrogen leaks on the Space Launch System. The problem caused months of delays before the first SLS launch in 2022, and the fuel leaks cropped up again Monday during a fueling test on NASA’s second SLS rocket. It is a continuing problem, and NASA’s sparse SLS launch rate makes every countdown an experiment, as […]

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Why Distributed State Management Is the Context Graph for Physical AI

Why Distributed State Management Is the Context Graph for Physical AI

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In my last blog, I wrote about memory as the missing state layer for agents. In this piece, I want to stretch the idea further and look at state across distributed endpoints — local agents, phones, robots, sensors, vehicles — what I think of as the context graph for physical AI, capturing intent, precedent, and decision traces across distributed actors. Not just as a buzzword, but as a world where compute, decisions, and data increasingly live outside centralized clouds. Why distributed state matters, […]

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Prediction Arena: Benchmarking AI Models on Real-World Prediction Markets

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arXiv:2604.07355v1 Announce Type: new Abstract: We introduce Prediction Arena, a benchmark for evaluating AI models’ predictive accuracy and decision-making by enabling them to trade autonomously on live prediction markets with real capital. Unlike synthetic benchmarks, Prediction Arena tests models in environments where trades execute on actual exchanges (Kalshi and Polymarket), providing objective ground truth that cannot be gamed or overfitted. Each model operates as an independent agent starting with $10,000, making autonomous decisions every 15-45 minutes. Over a […]

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Apple releases iOS, iPadOS, macOS 26.4 with a long list of medium-size tweaks

Apple releases iOS, iPadOS, macOS 26.4 with a long list of medium-size tweaks

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Apple has released the 26.4 updates to all of its major software platforms today, including iOS, iPadOS, macOS Tahoe, watchOS, tvOS, visionOS, and the HomePod. The most important reason to install each update is the big pile of included security fixes—you can see the ones Apple is disclosing for iOS/iPadOS and macOS on its security website—but the updates also include a few significant new features, a change from the mostly quiet 26.3 release last month. We covered many of […]

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