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META LAUNCHES SUPER PAC TO FIGHT AI REGULATION

Meta is investing "tens of millions" into the American Technology Excellence Project, a super PAC targeting state-level candidates who oppose AI regulation.

SAM ALTMAN SAYS CHATGPT WILL STOP TALKING ABOUT SUICIDE WITH TEENS

ChatGPT will start using an age-prediction system for under-18 users and stop discussing suicide with teens.

HOW AMERICANS VIEW AI AND ITS IMPACT ON PEOPLE AND SOCIETY

The Pew Research Center found that most Americans are increasingly pessimistic about AI's effects on society.

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NVIDIA AND OPENAI PLAN $100B AI INFRASTRUCTURE EXPANSION

Nvidia and OpenAI signed a letter of intent to build data centers powered by 10 gigawatts of Nvidia systems, with investments potentially reaching $100 billion to support future AI model development.

ORACLE APPOINTS NEW CO-CEOS

Oracle has promoted Clay Magouyrk and Mike Sicilia to co-CEO roles, signaling a leadership transition as it focuses on scaling its AI infrastructure capabilities. Former CEO Safra Catz has moved into the role of executive vice chair of the board.

OPENAI MIGHT BE DEVELOPING A SMART SPEAKER, GLASSES, VOICE RECORDER, AND A PIN

The mysterious Jony Ive hardware project at OpenAI is taking shape. OpenAI is working on multiple AI devices, including a smart speaker without a display, glasses, a voice recorder, and a wearable pin, targeting late 2026 or early 2027 releases. The company contracts with Apple suppliers and is actively poaching Apple hardware employees.

WHY WE BUILT THE RESPONSES API

OpenAI argues its new Responses API is part of the inevitable evolution from turn-based chats to persistent agentic reasoning that maintains state across conversation turns. The company claims GPT-5 achieves 5% better performance on TAUBench through preserved reasoning state and reports 40-80% improved cache utilization. It also adds hosted tools so developers don't have to build their own retrieval pipelines from scratch.

HOW I USE AI

AI coding requires a mindset shift, emphasizing ownership of AI-generated code and exploiting opportunities for maximum efficiency. Success lies in treating AI coding like management, focusing on creating and leveraging productive gradients where minimal effort yields significant rewards. Junior engineers might have an advantage over seniors in adapting to this new role, as embracing AI demands stepping out of comfort zones and fostering a strong sense of responsibility.

GROK 4 TRAINING RESOURCE FOOTPRINT

Grok 4 is the largest (known) training run to date. Researchers estimate it cost $490 million, required enough electricity to support a 4,000-person town for a year, and had a carbon footprint roughly equivalent to annual emissions from 3 airplanes.

workflow in action.

IT'S BEEN AN EXTREMELY BUSY DAY FOR TEAM QWEN

Qwen recently made several announcements on X, including official FP8 quantized versions of its Qwen3-Next models, Qwen3-TTS-Flash, Qwen3-Omni, and Qwen-Image-Edit-2509. Qwen3-Omni is a 30-billion-parameter model that supports text, audio, and video input and text and audio output. More details about the announcement are available in the article.

TOOL CALLS ARE EXPENSIVE AND FINITE

Tool calling is many orders of magnitude more costly than calling a plain old function from code. People should design their agentic systems according to the limit on how many tool calls their agents can effectively make. Using a tool call to add two numbers once probably doesn't matter, but scaling the problem up to 1,000 numbers will require a long wait and may exceed context window limits. Calling a function many times in a loop is one of the most common ways to solve a problem with code.

LMARENA HAS SOME COMPETITION: SCALE AI LAUNCHES SEAL SHOWDOWN, A NEW BENCHMARKING TOOL

Seal Showdown is a new benchmarking tool that allows users to test various AI models head-to-head and vote on which one performs better. Unlike LMArena, it captures real preferences to more closely reflect how everyday users feel about various models. Rankings are derived from conversations on Scale's Outlier platform, so each user's country, education level, profession, language, and age can be verified. This allows the platform to show which models are most popular according to specific regions, languages, ages, and use cases.

DEEPMIND AI SAFETY REPORT EXPLORES THE PERILS OF “MISALIGNED” AI

DeepMind recently released the third version of its Frontier Safety Framework, which explores how generative AI systems can become threats. The safety framework details critical capability levels for assessing AI models that define the points at which behavior becomes dangerous. It also discusses ways for developers to address these risks. Misaligned AIs may ignore human instructions, produce fraudulent outputs, or refuse to stop operating when requested. For now, developers can prevent this by monitoring AI's chain of thought outputs, but future models may hide their reasoning, making it impossible to determine with certainty that a model is working against the interests of its human operator.

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META ADDS AI ASSISTANT TO FACEBOOK DATING

Facebook Dating has introduced an AI chatbot to help users refine profiles and request tailored match suggestions, aiming to combat swipe fatigue and improve user experience.

OPENAI IS LAUNCHING SOME NEW COMPUTE-INTENSIVE OFFERINGS OVER THE NEXT FEW WEEKS

Some features will initially only be available to Pro subscribers, and some new products will have additional fees because of the associated costs.

TORCHAO MODELS NOW ON HUGGING FACE HUB

PyTorch's TorchAO team released pre-quantized versions of popular models using int4 and float8 precision optimized for both mobile and server deployments.

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MUSK'S XAI REPORTEDLY RAISING $10 BILLION AT $200 BILLION VALUATION

xAI was valued at $150 billion a few weeks ago and $80 billion when it merged with X in March, though Musk later called the report “fake news.”

GROK 4 FAST

Grok 4 Fast is comparable to Grok 4 but uses 40% fewer thinking tokens and features the first 2 million token context window.

ORACLE EYES $20 BILLION AI CLOUD COMPUTING DEAL WITH META, SOURCE SAYS

Oracle is in talks with Meta for a multi-year cloud computing deal worth about $20 billion that would see Oracle provide Meta with computing capacity for training and deploying AI models. Oracle unveiled four multi-billion-dollar contracts last week. It expects to sign up several additional multi-billion-dollar customers in the next few months. Booked revenue at its OCI business will exceed half a trillion dollars.

FLOODING THE AI FRONTIER

Chinese models are dominating the open-weight LLM space. Some of the models compete with or even outperform leading proprietary US models on common benchmarks. The Chinese government is promoting open models as part of its AI strategy. Flooding the market with free high-quality AI models helps China build its AI capabilities while making it harder for the US to sustain its lead.

THE EXTREME INEFFICIENCY OF RL FOR FRONTIER MODELS

A key difference between pre-training and reinforcement learning (RL) is their information efficiency. Pre-training via next-token-prediction provides models with a token worth of information to learn from for every token the model produces during training, while RL requires a long chain of thousands and even millions of tokens before revealing to the model a single bit of information. RL provides models with much less information to learn from per GPU-hour. This has serious implications for how much the RL paradigm can achieve.

WHAT GPT-OSS LEAKS ABOUT OPENAI'S TRAINING DATA

A POSTMORTEM OF THREE RECENT ISSUES

Between August and September, three overlapping infrastructure bugs caused Claude to produce degraded responses, including random foreign characters, misrouted requests to wrong server configurations, and an XLA compiler issue that dropped high-probability tokens.

DETECTING AND MITIGATING AI SCHEMING

OpenAI and Apollo Research evaluated frontier models for hidden misalignment behaviors and developed early-stage methods to reduce deceptive tendencies.

LLM-DEFLATE: EXTRACTING LLMS INTO DATASETS

Large language models compress massive amounts of training data into their parameters. This process can be reversed: structured data sets can be systematically extracted from trained models. This post discusses a decompression technique that can generate substantial training data sets from open-source models. The key is treating inference as a knowledge extraction tool rather than just a generation mechanism.

NVIDIA JUST SPENT OVER $900 MILLION TO HIRE ENFABRICA CEO, LICENSE AI STARTUP'S TECHNOLOGY

Nvidia paid $900 million to hire Enfabrica's CEO and other employees and to license the company's technology. Enfabrica's Technology can connect more than 100,000 GPUs together. It could help Nvidia offer integrated systems around its chips so clusters can effectively serve as a single computer. Nvidia had previously invested in Enfabrica as part of a $125 million Series B round in 2023.

EMAD MOSTAQUE ON THE END OF CAPITALISM

Emad Mostaque, former hedge fund manager and creator of Stable Diffusion, recently appeared in an interview where he discussed how Capitalism is about to become obsolete because of AI. He also talked about how AI will fundamentally transform the economy, replacing workers and making traditional economic structures obsolete - within 1,000 days. He advises people to build network capital and master AI now because human cognitive labor will become economically worthless soon.

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SCALEWAY ADDED AS HUGGING FACE INFERENCE PROVIDER

Scaleway now powers serverless inference on Hugging Face, offering fast, European-hosted APIs with support for structured outputs and multimodal features.

STABILITY AI LAUNCHES IMAGE APIS ON AWS

Stability AI has integrated its image editing services into Amazon Bedrock, enabling enterprise users to access advanced features like inpainting, style transfer, and object recoloring via API.

COMET BROWSER PARTNERS WITH 1PASSWORD

Perplexity's AI browser, Comet, now includes built-in support for 1Password credential management.

CHROME: THE BROWSER YOU LOVE, REIMAGINED WITH AI

Google introduces an AI-centric version of Chrome focused on productivity and safety. The browser now features Gemini, an AI assistant that understands context across tabs, and the enhanced omnibox with AI Mode for complex searches.

NVIDIA AND INTEL'S $5 BILLION DEAL IS APPARENTLY ABOUT EATING AMD'S LUNCH

Nvidia and Intel announced a $5 billion partnership focusing on creating a superior GPU-CPU SoC integration to compete against AMD. This collaboration targets the underserved integrated graphics market, which AMD dominates with its advanced offerings. Nvidia also aims to become a major Intel CPU customer for servers, challenging AMD's rising market share in that segment.

LUMA AI'S NEW RAY3 VIDEO GENERATOR CAN 'THINK' BEFORE CREATING

Luma AI's new reasoning video model, Ray3, can create AI video clips with complex action sequences. It can spend more time working through prompts, making it better at handling more advanced scenes. The model can generate clips in 16-bit HDR. It has a draft mode that lets users test ideas quickly by generating shots in a lower resolution format.

VERY FEW OF WAYMO'S MOST SERIOUS CRASHES WERE WAYMO'S FAULT

Out of Waymo's 45 most serious crashes, none were due to failures of the self-driving software, and 37 were caused by human drivers. Over 96 million miles, Waymos were involved in 34 airbag crashes. Human drivers average 159 over that same distance.

YOU CAN'T EVAL GPT5 ANYMORE

The GPT-5 API is aware of the date, which is problematic because the model becomes aware that it is in a simulation when evals are run against it. There is evidence that models behave differently when they know they are in a simulation. Some models start questioning other parts of the simulation once they know they are in a simulation. The API being aware of the date may be an attempt at patching a safety risk.

CODING AS THE EPICENTER OF AI PROGRESS AND THE PATH TO GENERAL AGENTS

Coding is arguably the last tractable, general domain of continued progress for frontier models that people can interface with. It is a domain where models are already useful, and they continue to consistently stack on meaningful improvements. Many developers are starting to learn a new way of working with AI through new command-line code agents. Within a few years, autonomous agents will be functional, and AI will be able to improve the most complex codebases.

DESIGNING NOTEBOOKLM

The lead designer for NotebookLM explains the UI evolution of the product, specifically how the team solved “tab overwhelm” by creating a unified workspace with responsive panels that adapt to different workflows—reading plus chat, chat plus writing, or reading plus writing. While the tool itself, like many AI tools, is very flexible, there is still a linear underlying flow: users import sources, interact through conversation, then generate structured outputs like notes and Audio Overviews.