The Archive

Consulting firm McKinsey & Company is going to ask some entry-level candidates to have a 10-minute conversation with an AI simulation of a client as part of the interview process, according to The Wall Street Journal. The AI simulation "aims to reflect 80% of the scenarios McKinsey consultants might encounter in their day-to-day work," the WSJ says, and it isn't designed to "mimic an unhinged client." The AI won't score the candidates - humans will be in the room to assess the candidates and see how well they deal with the simulated situations. The McKinsey tool will be in testing for undergr...

OpenAI and Anthropic discuss autonomy-safety tradeoffs for financial agents at AI Engineer New York, balancing utility with control.

Langley’s comments come amid mounting scrutiny of Flock from privacy advocates, including the ACLU, and members of the public who are concerned about the misuse of its technology.

Simon Willison builds a Three.js game using Claude Opus 5.5 Max to generate and compare procedural trees via extended reasoning.

But the new "Preview" app "will have some bugs," Epic warns.

OpenAI is facing a new wave of lawsuits from eight US states that accuse the company of harming children and misleading customers about the safety of ChatGPT, as reported earlier by Reuters. The lawsuits, filed separately by Iowa, Kansas, Nebraska, West Virginia, Arkansas, Arizona, Idaho, and Montana, allege OpenAI unlawfully put profits over safety when developing ChatGPT. The string of complaints claims that OpenAI violated local consumer protection laws by failing to warn customers about the dangers of ChatGPT, citing several lawsuits filed by the family members of teens and adults that al...

Leash Bio uses DEL assay data to validate AI model predictions in drug discovery and train chemistry agents for autonomous reasoning.

Last week, Anthropic and OpenAI looked like they had the AI race to themselves, pulling ahead with increasingly powerful models that left their rivals in the dust. Google seemed hopelessly far behind, while Meta, despite spending billions to revive its floundering AI ambitions, had yet to establish itself as a serious contender. Even the latest models coming out of China, impressive as they were, appeared to be playing catch-up. Then, in the space of a few days, everything changed. Google and Meta both unveiled frontier models they claim can go toe to toe with the best from OpenAI and Anthrop...

New York Attorney General Letitia James revealed a years-long multi-state investigation against Character.AI as they now seek to require protections on consumer data sold through its bankruptcy proceeding. James is among 40 bipartisan AGs who filed a notice of interest in Character.AI's bankruptcy case "to put all parties on notice of the regulatory issues that will need to be addressed in any sale or transfer of the Debtor's business or assets." Character.AI announced Tuesday it was filing for Chapter 11 and selling some assets to Disney. But the AGs warn there could be serious risk involved...

Anthropic updates election safeguards for 2026 US midterms, building on previous security measures to prevent misuse.

The label will appear on the player page and include songs entirely generated by AI or partially, such as involved in composition and vocals.

YouTube is adding a "Made with AI" label to tracks that were "altered or fully generated" using AI, with a similar approach to its existing process for applying AI labels to videos. It doesn't sound like this will apply to any and all use of AI tools in making music, but according to YouTube, it includes things like "using a generative model to create the composition and vocals." In its rules for music partners who upload their songs, YouTube lays out how to disclose generative AI use, and says that if there's no disclosure, it may use "other signals" to decide if a song is AI-generated. The ...

Most companies use AI agents to ship products faster or speed up workflows. Apate.ai sends them undercover to get scammed.

Diffusion models applied to generate functional humanoid control policies directly in weight space, enabling more agile robot behaviors.

HiRe-MoMa framework for sample-efficient real-world fine-tuning of mobile manipulation systems via hierarchical residual policy learning.

Co-evolutionary training method for language agents that learns both actions and environment forecasts from intermediate rollout supervision, reducing sample complexity.

Retraining-free elastic scaling of transformers enables single model to adapt across heterogeneous computational budgets via differentiable unit-ranking.

Game-theoretic analysis of first-price auction efficiency in decentralized AI agent markets where agents bid for user prompts based on expected value minus inference cost.

Continuum Attention replaces discrete token lookup with integration over continuous memory curves, maintaining quadratic complexity while enabling efficient GPU implementation.

Mixture-of-experts architecture using Hodge-Laplacian gating partitions PDE solutions by spectral scale, improving surrogate model performance on unstructured meshes.

Player-1 post-training framework learns game-playing agents through synthetic rollouts beyond demonstration, scaling to visually complex interactive environments.

Latent Compaction uses test-time training to compress KV caches via reconstruction importance and distillation, reducing generation memory overhead.

Cross-Interface Policy Regularization improves LLM agent robustness to interface variations by self-supervised semantic consistency training across perturbations.

Mechanical verification method for Lean formalizations combining LLM review with numerical checks to catch errors in autoformalized mathematical functions.

CriticOPD framework restores teacher recoverability in on-policy distillation via error critique, enabling student models to correct mistakes mid-rollout.

Manacá-1B-Instruct-2 Brazilian Portuguese LLM with documented negative DPO results and analysis of LLM judge failure modes in safety alignment.

LLM agents conducting automated research plateau due to historical anchoring; forgetting mechanisms enable continued discovery scaling across parallel agents.

PhySGA agentic framework for 3D object composition using physics simulation to handle complex spatial interactions beyond static LLM or diffusion priors.

PerSo benchmark evaluates LLM social intelligence in real-world persuasion via both cognitive and behavioral aspects beyond synthetic scenario isolation.

Lightweight CNN for potato leaf disease classification achieving 99% accuracy on PlantVillage dataset, applied to Ethiopian farms.