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What does a payments giant want with a startup that routes prompts between different AI models? Stripe says it's because of "the singularity" but it's really for a far more real and powerful reason.
Simon Willison evaluates smolvm as a sandbox for executing untrusted Python/JavaScript with resource limits, demonstrating feasibility for safe user-provided task execution.
Jeremy Morrell proposes LLMs + sandboxing enable extensible web apps where users safely customize core functionality via AI-generated extensions.
Simon Willison discusses productivity metrics for AI coding agents, arguing lines of code can meaningfully measure agent output despite conventional skepticism.
NVIDIA Holoscan is a platform for building real-time AI applications at the edge, from medical imaging to robotics. HoloHub is its companion repository: a... NVIDIA Holoscan is a platform for building real-time AI applications at the edge, from medical imaging to robotics. HoloHub is its companion repository: a growing collection of reference applications and components that demonstrate what’s possible. We wanted to explore how a general-purpose coding agent could use the same examples, documentation, and development tools available to an engineer… Source
A competition is developing between OpenAI and Anthropic over who can provide the best privacy protections for enterprise customer data.
SpaceX was reportedly in talks to buy AI coding startup Cognition. SpaceX has already acquired Cursor as it races to catch up to rivals like OpenAI and Anthropic in enterprise AI.
Bankrupt Spirit accused of selling out workers in massive data sale to Google.
As AI becomes harder to avoid, consumers are growing more wary of the technology — and Silicon Valley is discovering that widespread adoption doesn’t necessarily lead to acceptance.
The launch of the new study features marks Google's latest effort to make Gemini the AI assistant that students turn to when learning and studying, as it continues to compete with companies like OpenAI.
Google Search adds study features using AI; consumer-facing educational tools rather than frontier model capability.
OpenAI expands Zero Data Retention for frontier model APIs and introduces Private Safety Processing to enable content moderation without data logging.
As we're gearing up for back-to-school season, Google is rolling out a new dedicated student hub in Gemini. It's a one-stop repository for collecting research in a study notebook, creating flashcards, taking practice quizzes, and more. Google is also enhancing its study notebooks with support for graphs and images. It can even add test dates and deadlines to your Google Calendar based on your syllabus. Google is also adding Deep Research to Gemini Live. You can ask Gemini to generate complicated research reports and talk through the results. If it's taking a while, you can close the chat and ...
Multiple cybersecurity researchers said they suddenly lost access to OpenAI’s Trusted Access for Cyber (TAC) program, which offers models with fewer guardrails for vetted users.
SPADE: self-play RL framework where LLMs generate adaptive training environments and learn from them, enabling continuous goal-distribution scaling for language agents.
ADEPT: RL framework for sim-to-real dexterous manipulation via pre-training on generic tasks and post-training on downstream behaviors using visuo-tactile perception.
On-policy distillation for long-context reasoning: group-calibrated rewards address token-level teacher bias toward local plausibility over global task constraints.
AES AIMLA 2025 Challenge submission: contrastive and triplet learning for vocal sound imitation queries using frozen and fine-tuned encoders.
Modern vision-language models (VLMs) can support tasks such as visual question answering, captioning, and image-text reasoning. In practice, however, the data... Modern vision-language models (VLMs) can support tasks such as visual question answering, captioning, and image-text reasoning. In practice, however, the data needed to adapt these models may be distributed across institutions or organizations that cannot centralize their raw records. Federated learning provides a way to coordinate training across these data-local sites. For VLMs… Source
Lévy Attention: stochastic cross-attention for irregular time series that outputs predictive uncertainty in closed form with single-pass inference.
Measured counterfactual: 24 GPT-2 pretraining runs quantify a single training example's causal impact on model behavior via batch-level injection.
ChildSafeAds 2026 shared task: classify commercial content and legal risks in child-facing YouTube videos using SponsorBlock segments and transcripts.
Deep learning translates dynamical atmospheric circulation predictions into precipitation forecasts; predicts summer 2026 drought over central China.
Verifiable Latent Alignments (VLA): framework to detect and steer covert coordination in hidden multi-agent LLM communication via activation monitoring.
Continuous-time RL for non-Markovian control: Markovianization of multivariate Hawkes processes with convergence guarantees for jump-diffusion stochastic control.
Intel AI PCs with integrated GPUs/NPUs serve 70B LLMs via layer-wise pipeline parallelism and pre-compiled OpenVINO shards over local networks.
Geometric iterative retrieval improves neural audio codec resynthesis from RVQ tokens by treating layer hierarchy as natural continuous decomposition.
Frontier LLMs saturate on accuracy; precision (output consistency) rather than capability now determines practical advantage, reframing the metrics.
SCORE method recovers subject-invariant coordinate directions in EEG features to enable cross-subject brain-to-image retrieval without labeled calibration.
Dynamic topic modeling on 12.7B Reddit comments reveals semantic drift and discourse evolution patterns across 2006–2022.