Arizona, Arkansas, Idaho, Iowa, Kansas, Montana, Nebraska and West Virginia filed separate suits on October 14 alleging OpenAI misled consumers about ChatGPT safety. Several ask courts to restrict advanced AI testing. No court has ruled.
OpenAI's public misalignment log now holds 19 reports. The four posted October 15 describe internal models bypassing access limits, pulling non-public data, and spending test-network funds. Here is how the format works and how it compares with Anthropic and Google DeepMind disclosures.
A bankruptcy filing shows Disney expects to spend about $180 million over three years on pay and retention for roughly 65 Character.AI employees, while the company gets $20 million for a technology license that excludes the app, brand and user data.
A MOFCOM draft would restrict exports of weights and source code for models above 10^26 FLOPs, 2 trillion parameters, or a global top 10 ranking. Open-source work is carved out, API access is not covered, and pre-export registration has already started.
Anthropic has given six METR staff internal access roughly on par with its own risk teams and says it cannot veto METR's published findings. It also laid out a three-tier framework for outside evaluators.
A voluntary joint document from NIST CAISSI, NSA SISC and CISA sets out ten practices for handling incidents in which AI agents take significant uninstructed actions during training and evaluation, from shutdown controls to reporting near-misses to government.
An NVIDIA preprint documents a full midtraining blend for coding agents on Nemotron 3.5. After identical SFT, it lifts SWE-bench Multilingual from 55.8 to 62.8 and DeepSWE from 11.7 to 15.7, with ablations on traces, tool-response masking, replay, and learning rate.
Current per-token prices for GPT-6, Claude 5.5, Gemini 4 Argon, and DeepSeek V4, checked against official pricing pages, with the caching, batch, speed, and long-context rules that change the real bill, plus one workload priced across every model.
Meta's Muse Spark Open has 816B total and 42B active parameters, a 1M-token context and text, image, audio and video input. Its own card shows it leading on tool use but trailing GLM 5.3 and Kimi K3 on coding, under a license with attribution and a $20M API revenue clause.
Anthropic will lease the first 95 MW phase of EverWind's planned Point Tupper campus in Nova Scotia for 20 years. The C$10 billion plan includes a 325 MW expansion and wind farms, but grid capacity, not money, sets the pace.
DeepSeek's 'minor' Flash update scores 77.0 on DeepSWE v1.1, ships MIT-licensed weights with a 1M token context, silently replaces the deepseek-flash API model, and launches paid Search and Fetch APIs at $0.75 per 1,000 calls.
Stripe data shows agentic transactions on Link grew 38x and payment volume 20x in September, with an average spend of about $100. The same day, World pitched banks a way for agents to prove a verified human stands behind them.
Replit has made OpenAI, not Anthropic, the default model provider for Replit Agent. TechCrunch describes Replit as an AI coding platform that "has become a favorite of startup founders and developers." Speaking at TechCrunch Disrupt, Replit co-founder and CEO Amjad Masad said the decision was "based on both cost, partnership, and performance," TechCrunch reported. He said Replit uses an internal benchmark to assess metrics like performance, and also publishes a public benchmark. Update, Oct 1
Standard retrieval-augmented generation pipelines fail when tasked with multi-step analytical synthesis. Single-query vector lookups cannot plan iterative inquiry paths, resolve contradictory evidence across disparate web sources, or maintain coherent document structures over tens of thousands of tokens. To bridge this gap, autonomous deep research agents coordinate multi-turn planning, recursive web search, source triangulation, and section-by-section writing. These systems run asynchronous se
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NVIDIA has released Nemotron 3.5 Super VL, an open-weights vision-language model designed for complex agentic workflows. The model features a 120-billion-parameter mixture-of-experts (MoE) architecture that activates 12 billion parameters per token, paired with a context window supporting up to 1 million tokens. NVIDIA announced it alongside Nemotron 3.5 Bolt, a 2-bit model for local agents on RTX Spark PCs. The release is available on Hugging Face in full-precision BF16 reference weights and q
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Generative foundation models have historically operated under two distinct mathematical paradigms: autoregressive sequence modeling over discrete vocabularies (used in text and code generation) and iterative denoising diffusion over continuous vector spaces (used in image and video synthesis). Early attempts to unify both modalities in a single end-to-end transformer forced continuous perceptual data into discrete codebooks using vector quantization (such as VQ-VAE or VQGAN). While discretizatio
