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Built by DeepMind alumni, British AI lab Inherent released Faraday, an AI agent whose ability to replicate scientific papers could be a stepping stone for innovation.
llm CLI tool v0.33 upgrades OpenAI Python library to 3.x, adds --key parameter to embed commands, and improves plugin architecture.
OpenAI is calling for California to strengthen SB 53, an AI safety bill that the company previously opposed.
A new study finds leading AI labs have few publicly documented plans for containing rogue models, raising questions about preparedness as AI systems increasingly demonstrate unexpected and potentially dangerous behavior.
Simon Willison argues effective AI coding agents require instruction and verification skills beyond line-by-line code review.
Simulation-based approaches trade modest accuracy loss for 100x cost reduction and 10000x speed gains in model development, shifting RSI patterns.
Agent architecture is converging toward models internalizing scaffold functions, leaving harness-like interfaces primarily for human oversight.
Michael Polansky — better known publicly as Lady Gaga's partner and a former top deputy to Sean Parker — has quietly spent years building an AI-driven startup that keeps living human skin tissue alive for weeks outside the body to discover new skincare compounds, and is only now going public about it.
Joon Sung Park (Simile AI) argues simulation as a scaling law; discusses 8B digital twins and evolution from Generative Agents research to productized agents.
Anthropic forbids its Claude models from generating sexually explicit content. But a series of tests conducted by TechCrunch found that it didn't take much to get past the restriction.
Nvidia continues to pour money into data center development — just as AI data centers bring lots of money into Nvidia.
LinkedIn actually announced a "Seems like AI slop" button on July 30th, and the company says that a lot of people have already used it. According to a Thursday post from chief product officer Hari Srinivasan, "over a million people" have clicked on the button, which is accessible from the three dots menu on a post. LinkedIn announced the button a few weeks after AI detector Pangram determined that 41 percent of LinkedIn's longform posts were flagged as fully AI generated, which 404 Media reported on. Alongside the AI slop button, LinkedIn introduced "new and improved" classifiers to identify ...
Nvidia research shows that AI agents can perform well, and not go off the deep end, through fine-tuning, even if the AI model isn't that great at the task.
New accelerated Newton method for convex optimization achieving O(1/k³) convergence with single linear solve per iteration.
VIALS benchmark reveals frontier vision-language models fail on biotech artifact interpretation (gel blots, microscopy, flow cytometry) from real experimental workflows.
Single researcher used AI agents with formal verification to design and tape out RISC-V processor in five weeks on consumer subscriptions.
PerturbRx framework learns treatment-conditioned latent transitions from single-cell data for cancer drug-response prediction.
Theoretical proof that exact truthfulness is incompatible with completeness in calibration measures for sequential binary prediction.
Study shows generation, critique, and revision stages in LLM self-refinement have asymmetric computational requirements; smaller models sufficient for some stages.
TurboBias 2.0 framework enables efficient streaming context-biasing for production ASR systems with user-specific phrase lists and low latency.
Analysis of estimation error decomposition in sparse pricing panels shows cross-trajectory variance dominates within-trajectory uncertainty.
Anatomy-Informed Neural Networks embed anatomic constraints via loss penalties and architectural priors to improve plausibility and generalization.
Analysis of frontier LLMs conducting psychotherapy finds models over-use certain moves (reassurance, validation) vs. human clinicians; maps therapeutic behavior with ontology validated by licensed psychologists.
Transformer model for predicting acute COPD exacerbation from home ventilator data with temporal awareness.
Branch-and-bound algorithm for Steiner Traveling Salesman Problem on convex sets with lower-bound relaxations.
Study of LLM-assisted compliance documentation (DPPs, DPIAs) for EU sustainability and privacy regulations.
Analysis of prompt-model interaction fixed-point structure independent of task performance metrics.
LLM CLI tool 0.32.1 fixes dependency breakage from OpenAI library dropping httpx support.
E²-TTT: Closed-form test-time training enabling efficient long-context processing with per-token weight updates.
SPARCL addresses spectral interference in analytic continual learning via spectral partitioning.