01
The Verge ↗
Google CEO Sundar Pichai said the Gemini app has crossed 1 billion monthly active users, making it the company's fastest growing product ever and the 14th Google product to reach the billion user mark. Gemini climbed from roughly 750 million monthly users earlier this year to 950 million in July before crossing the threshold in August. OpenAI separately confirmed that ChatGPT passed 1 billion weekly active users in July, a milestone it highlighted on August 6. The two companies are reporting different metrics, monthly versus weekly actives, which makes a direct head to head comparison difficult.
02
VentureBeat ↗
SpaceXAI, the SpaceX division formerly known as xAI, launched an early beta of Grok Bot, an agent product that shifts AI assistants from answering prompts to continuously executing work inside the apps employees already use. Users create persistent Bots with specific jobs, grant them access to applications and websites, and delegate tasks the way they would to a teammate. Each Bot runs in its own computer environment, keeps working when the user's laptop is closed, and checks back when it needs approval or has finished. The company says the system started as an internal prototype used for sales outbound, marketing campaigns, office operations and bug fixes, though it has not published benchmarks for agentic task performance.
03
CNBC Technology ↗
Nvidia released Nemotron 3.5 Lightning, a 30 billion parameter mixture of experts model that companies can download, modify and deploy for free without asking permission. Nvidia claims it delivers up to four times faster output and 30 percent faster task completion than comparable models in its class, and it runs on a single PC GPU including RTX PCs and DGX Spark systems as well as across data centers. Alongside it, Nvidia open sourced Switchyard, a model routing library that automatically directs each step of an agent workflow to the cheapest suitable model. CrowdStrike, CodeRabbit and Harvey were among the companies that tested and customized the model ahead of launch.
04
TechCrunch AI ↗
Anthropic confirmed it will watermark text produced by its models in order to comply with the EU AI Act transparency code, which took effect on August 2, 2026. The watermark is embedded in the text itself, so it travels with the content when it is copied and pasted elsewhere and may survive some editing, while generated files use the C2PA open standard instead. Every model Anthropic has released since August 2 carries the technology automatically, and the company plans to extend it to older models across the Claude API, Claude, Claude Code, Claude Cowork and Claude Tag. Anthropic has not said how much editing is needed to strip the watermark out.
05
CNBC Technology ↗
CoreWeave more than doubled second quarter revenue to $2.58 billion, up 112 percent year over year and 24 percent sequentially, sending the stock up double digits in extended trading. Its contracted backlog jumped from $104.2 billion at the end of the quarter to $129.2 billion as of August 11, roughly $25 billion in fresh demand booked in under six weeks. The loss of $1.14 per share came in well ahead of the $1.41 analysts expected, helped by a 59 percent adjusted EBITDA margin. The offsetting concern is leverage, with CoreWeave carrying about $35 billion in debt after raising more than $10 billion in unsecured debt and convertible bonds this year.
06
VentureBeat ↗
Mistral AI announced a three part expansion of its infrastructure business aimed at turning European AI sovereignty into a purchasable product. It is adding regional inference endpoints that let customers choose whether workloads run in Europe or the United States, a Priority Tier backed by an uptime guarantee for mission critical deployments, and a coalition of European enterprises signing multi year compute commitments. Mistral says those commitments will underwrite 200 megawatts of European infrastructure by the end of 2027 and a full gigawatt by the end of 2030. In a move likely to unsettle sovereignty purists, the company will also start hosting third party open models, beginning with GLM-5.2 from the Chinese lab Z.ai.
07
CNBC Technology ↗
AI agent startup Manus said it will resume operating as an independent company as it complies with Beijing's order to reverse Meta's $2 billion acquisition. Meta announced the deal in December 2025, but China's National Development and Reform Commission directed the parties in April to unwind it under the country's foreign investment rules. Meta has since cut Manus staff off from its internal data systems and barred its own employees from using Manus tools, and users in some jurisdictions will have data created after the December 29 closing date deleted. The ruling signals that incorporating offshore, Manus moved its base from China to Singapore, does not put a deal beyond Beijing's reach when the underlying technology and talent are Chinese.
08
TechCrunch AI ↗
River AI, founded by xAI co founder Igor Babuschkin and only two months out of stealth, raised $1.1 billion led by General Catalyst and AMP PBC with participation from Nvidia, AMD Ventures, Y Combinator and Temasek. The startup builds infrastructure for personal AI agents, offering an API that lets developers fine tune open weight models using reinforcement learning and LoRA. River claims an enterprise can finish a complex reinforcement learning run in 15 to 20 minutes with no infrastructure team, at two to four times the cost savings versus closed source alternatives. Babuschkin previously worked at DeepMind and OpenAI before co founding xAI.
09
VentureBeat ↗
LTX, the open world model company spun out of Lightricks, released LTX-2.5, an open weights video and world model that generates a 10 second clip from an image in 6.8 seconds on Nvidia superchips. The release adds multi shot support, a diffusion decoder for higher quality, new conditioning modes and better support for the autoregressive models needed for real time use and robotics. Weights are available now on Hugging Face and through the LTX API, free for organizations under $10 million in annual recurring revenue, with larger companies negotiating a license. LTX says its models have passed 33 million downloads, making it the most used open world model line on the market.
10
Wired ↗
Researchers at the ELLIS Institute Tübingen and the Max Planck Institute for Intelligent Systems found a way to strip the encryption off the hidden reasoning traces that Claude, GPT and Gemini return to clients. Because those encrypted blocks are interchangeable across sessions and models inside one provider ecosystem, feeding a frontier model trace to a weaker, less guarded model from the same provider makes it decode and print the reasoning verbatim, with no need to jailbreak the stronger model at all. The team harvested 6,708 public agent trajectories from GitHub and Hugging Face and reconstructed 315,320 reasoning blocks, exposing proprietary reasoning, hidden prompts and private data. They also say the recovered traces suggest some Chinese models were trained on leading US systems.