The Archive

Simon Willison argues against 'meat proxy' behavior—blindly relaying AI output without validation—and advocates for critical engagement and reformulation of AI-generated content.

After a quarter that delivered $1 billion in profit, Palantir CEO Alex Karp on Monday once again warned that AI frontier labs as too untrustworthy for enterprises.

$100 million deal gives 50,000 Ukrainian drones US-developed AI capabilities.

OpenAI responds to Apple lawsuit allegations, disputes claims about employees and shares internal communications.

Baseten Series F funding and technical deep-dive on autoregressive and diffusion inference optimization strategies.

AWS now allows vibe coding tool Superblocks to be embedded into the private clouds of AWS customers. It's another step towards decoupling apps from models.

DesignArena is used by 5.3 million people around the world, providing critical human evaluations to frontier labs.

OpenAI’s first-ever influencer brand trip is sparking online backlash as tensions over the use of AI continue.

Top scores increased by 5x.

Apple’s long-awaited AI overhaul finally makes Siri the assistant it was always supposed to be. But after years of delays, the launch lands in an AI landscape where chatbots have evolved into agents that can code, reason, create media, and complete complex tasks. Siri AI is genuinely useful, yet it arrives at a moment when simply being a capable AI assistant no longer feels revolutionary.

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Humanoid robots usually elicit more cringe than awe: They stumble, kick children, and despite advances are still worse at using their hands than my toddler. It’s a nascent industry, and such robots…

AURORA-LM uses high-capacity decodable latents with diffusion to model text in continuous space, preserving token-level fidelity unlike prior discrete or compressed approaches.

Framework for teaching AI in power systems emphasizing engineering-grounded workflows over black-box LLM usage; addresses gap in reusable educational material.

onepot-Bench 0 introduces proprietary benchmark for evaluating LLM abilities in wet-lab chemistry tasks, avoiding training-data contamination and measuring physical-world decision-making.

Theoretical lower bound on condition-number scaling in sparse least-squares under Small-Set Expansion Hypothesis; foundational optimization complexity result.

GradCuit enables test-time latent reasoning in LLMs via gradient flow through inserted continuous states, improving interpretability and credit assignment over decoded-token methods.

UEmbed is a decoder-only multimodal model producing sparse lexical and dense embeddings in one pass, extending learned sparse retrieval to multimodal RAG without auxiliary modules.

CoWAM adds selective intervention layer to bimanual robot policies using World Action Models, enforcing synchronization and collision-avoidance contracts only when beneficial.

Reparameterization technique for simplex-constrained optimization via smooth manifold embedding; applications to tensor decomposition and functional data registration.

Pseudorandom streams in diffusion models act as learnable inputs; predictable orbits from finite-precision hardware affect training and generation quality.

AtumAI uses agentic AI to generate datacenter control-plane policies via formal constraint-based search with learned transfer across tasks, outperforming off-shelf LLM approaches.

PRECOG collapses RAG prefill cost from O(L_context) to O(1) by injecting pre-computed context into SSM fixed-size hidden state.

First systematic benchmark of Sheaf Neural Networks on inductive tasks, extending prior transductive-only evaluations across three diffusion mechanisms.

Study of Arabizi (Arabic in Latin script) usage patterns and writing norms across five dialects with speaker interviews and released resources.

The EU made some AI labels that companies can use instead of designing their own. | Image: The European Commission / The Verge The European Union has ushered in some additional rules that aim to make it easier for people to identify chatbots and AI deepfakes online. The new transparency obligations under the bloc's landmark AI Act came into effect on August 2nd, requiring companies to disclose when people are interacting with AI models, and if content has been generated or altered by them. The transparency rules differ between providers (companies that develop and market AI systems) and deplo...

Taxonomy survey identifying cognitive capability gaps in generative and agentic AI: reasoning, adaptive behavior, memory, self-regulation.

Formalizes the missing-target problem in fairness audits: how to justify demographic distributions in open-ended generation when ground truth is undefined.

Gaussian approximation for finite-sample ridge regression distribution under nonstandard asymptotics with growing regularization parameter.

Proves one-bit mean estimation achieves order-optimal sample complexity without interaction, avoiding two-stage localization protocol.

Constructs unambiguous DNFs with width O(n) and 0-certificate complexity Ω(n²), refuting Alon-Saks-Seymour conjecture via lifting theorem.