TechCrunch reports that personal AI agents like Meta's Muse and ChatGPT's Dots are frequently blocked by websites when booking or shopping on users' behalf. Amazon explicitly blocks Muse, while Walmart says blocks caused by human-verification buttons are unintentional and that it is a Muse partner.
The Verge writer Victoria Song criticizes tech companies for pushing to redefine recording on AI hardware.
OpenAI released GPT-6.1 Sol, priced at $2/$10 per million input/output tokens, ranking 5th on the Agent Arena, 39% cheaper than GPT-6 Sol with a score 1.52 points higher, and 81% cheaper than Astra.
Apple announced changes to macOS privacy settings to prevent third-party developers from using full-disk access to read users' message histories. The move follows a column by journalist Jason Aten describing how Meta's AI agent Muse pushed his private Apple Messages conversations without authorization.
At its annual DevDay, OpenAI launched Dots, an agent product powered by GPT-6 Astra, positioned as a professional assistant that can be delegated long, complex work such as product QA, website design, team travel planning, and portfolio rebalancing. Specialist Dots for accounts, legal, and more are coming soon, and it will integrate with Microsoft Agent 365.
Ai2 released Olmo-core 3, a redesigned open-source MoE training system that scales to trillion-parameter sizes. It switches from FSDP to a DDP-based approach, with a 47B-parameter MoE reaching a throughput of 52 on 8 NVIDIA B300 GPUs.
More than twenty tech companies signed a voluntary agreement committing to independent safety audits and regular discussions of AI safety standards, but the deal is not legally binding. The report notes some signatories such as Anthropic, Google and OpenAI had already promised external audits; critics question whether self-policing can solve safety problems, as California and Delaware investigate whether OpenAI's recent loss-of-control incidents involved governance failures, and the FTC has launched an inquiry into the potential consumer harms of rogue AI agents.
The Verge reports that Meta and OpenAI both plan dedicated hardware devices with cute AI agents, first building user habits through software agents before launching hardware. OpenAI is developing hardware with Jony Ive, with shipments as early as February 2027 according to public filings; its agent platform Dots, unveiled at DevDay, uses customizable colorful characters with eyes, and CEO Sam Altman said future use in physical hardware is a reasonable assumption.
TechCrunch analysis points out that although Meta's personal assistant Muse, OpenAI's Dots and Instinct make consumer AI look like a revival, the underlying economics remain grim.
Meta classified its AI data centers as "experimental models" and its Nvidia chips as experimental materials, using the federal R&D tax credit to save $3.9 billion in 2025, up from $2 billion the prior year and $700 million in 2023, making it the largest beneficiary of the credit among public companies.
Why it matters: The piece gives specific tax-savings figures over time and SEC risk disclosures, letting readers see how AI infrastructure investment is monetized through the 1981 R&D tax credit.
After a dinner with tech leaders, Trump said there will be no federal AI regulation and the industry will instead self-police. Pichai, Amodei, Zuckerberg, Brockman, Musk and Jensen Huang signed the morally binding Joint Frontier Responsibility Commitments. The pledge requires companies to self-regulate AI according to common-sense guidelines, with no apparent real consequences for violations; the six signatories each commented in support afterward, and Amodei said mechanisms for addressing AI risks are still under discussion.
Meta denied journalist Jason Aten's claim that its AI agent Muse read users' private information on Mac without permission, saying the Messages integration must be actively enabled by the user.
Meta launched its Muse AI agent, which it claims can help send emails and shop online, though the results depend on how much of their data and credit card users are willing to hand over to Meta. Meta then announced the Tamagotchi-like Muse Charm accessory, the Muse Enterprise Platform for small and medium businesses, a Mac app, smart glasses support, and fixed a vulnerability that could have let attackers control the agent, while Amazon has blocked the Muse AI agent.
Instagram announced its standalone Edits app gains an AI creative assistant that draws on account data such as likes, views, retention, and shares to answer open-ended questions about trends, content performance, and topics, scripts, captions, and audio. The feature is free for creators, with heavy users needing a Meta One subscription for more usage; the author notes YouTube also just updated a similar AI creator analytics dashboard and asks where platform ecosystems will head when everyone optimizes content.
The Verge published details of the "morally binding" AI safety pact Joint Commitment on Frontier Responsibilities announced by Trump yesterday.
Simon Willison quoted John Gruber's article 'Muse Looks Cute, but Looks are Deceiving': Meta's Muse gives every user a full persistent Linux VM running on Meta's cloud, packaged as a cute mascot and easy to install and use, and is being called the first consumer-accessible agentic AI system.
AINews rounds up AI news from September 22-23, 2026, headlined by Meta Connect 2026, where the Muse personal agent gained voice, live video, and Mac computer use.
Meta today released Muse Glimmer, a 30B-parameter open-source multimodal model distilled from Muse under the Apache 2.0 license, aimed at privacy-focused local deployment and agentic uses like coding, document analysis, and personal assistance.
Why it matters: The article provides architecture details, agent benchmark comparisons, and day-0 usage across inference stacks, helping readers evaluate local multimodal deployment options.
TrendForce analysts explain three paths tech giants are taking to compress the KV Cache through architectural and algorithmic innovation, with Google and DeepSeek respectively reworking attention mechanisms via GQA and MLA.
At Advancing AI 2026 on July 23, AMD unveiled a full-stack AI and physical AI product portfolio, including its first rackscale solution, AMD Helios (72 Instinct MI455X GPUs plus 18 6th Gen EPYC "Venice" CPUs).
Why it matters: The official announcement consolidates Helios rack, MI400 series CPU/GPU spec figures, and major customer deployment plans, allowing readers to benchmark actual progress against competing solutions.
On May 19, Google announced an expansion of its content transparency and verification tools, covering Search, Gemini, Chrome, Pixel, and Cloud.
Why it matters: The original maps out how SynthID watermarking and C2PA Content Credentials verification are being extended across Search, Gemini, Chrome, and Pixel, along with rollout timing, to show where content provenance tools stand.
Import AI issue 456 focuses on three topics. Law & AI researchers propose a "radical optionality" approach to AI regulation: governments should avoid overregulating now and instead invest in capabilities like information gathering, whistleblower protection, model weight security, and talent to prepare for future transformative AI.