Vol. I · No. 148MON, SEP 14, 2026
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Search the full wire by company, model, lab, or keyword. Every story we have ever aggregated.

Google Assistant will disappear from your phone next month

Farewell, Google Assistant art, we hardly knew ye. | Illustration by Alex Castro / The Verge Google Assistant's days have been numbered ever since Gemini arrived on the scene, and its time is now up. Google has announced that it will be removing access to Assistant on Android phones and tablets, along with paired devices like smartwatches or headphones, from September 4th. The announcement came in an email apparently sent to some users, as reported by 9to5Google and shared in full on Reddit. The Verge has asked Google for confirmation that the email is accurate, and will update this story onc...

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Trump’s AI testing plan is limited and vague

The Trump administration's framework for assessing potential cybersecurity risks posed by advanced AI reportedly has no interest in testing open models. Axios reports that not only do the voluntary guidelines outright exclude open models - meaning anyone can download them and inspect their core components - but the framework explicitly says it can't be used to restrict open models after they've been released. The AI testing framework was created after President Trump signed an executive order in June, requesting that AI companies share their frontier models with the federal government prior t...

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New release of LLM adds support for reasoning traces, OpenAI Responses, server-side tools, and smarter logging

I released LLM 0.32 this morning, the most significant new version of LLM since the initial launch of the project. The new version includes support for visible reasoning traces, server-side provider tools, redesigned content-addressable SQLite logs, new models, and new features enabled by the OpenAI Responses API. I also released a new version of the llm-anthropic plugin with substantial updates of its own. Headline features for LLM CLI users Running LLM against reasoning models now displays their reasoning traces to standard error, so you can see what they are "thinking" without that informa...

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llm-anthropic 0.26

Release: llm-anthropic 0.26 Includes new features enabled by LLM 0.32 : New models: claude-fable-5 , claude-sonnet-5 , and claude-opus-5 . #75 , #76 Added server-side tools for WebSearch , WebFetch , CodeExecution , and AnthropicMCP , available through LLM's -T interface or Python tools= . The previous -o web_search* options have been removed in favor of -T WebSearch . #79 Upgraded to llm>=0.32 . Reasoning, tool calls, tool results, and server-side tool results now stream as typed events. Reasoning for llm CLI prompts now displays to standard error unless you pass --hide-reasoning/-R . Simpli...

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AMD’s datacenter business is booming while gaming takes a backseat

Driven by demand for AI capacity, AMD's data center revenue more than doubled year-over-year in its latest earnings report, reaching $6.7 billion. That's up from $5.8 billion in Q1, and jumping 107 percent from the $3.2 billion it reported for the same period a year ago. At the same time, AMD's gaming revenue fell 31 percent compared to last year, to $779 million, as price hikes and component shortages slowed sales for the Xbox Series X / S, PS5, and Valve's Steam Deck. "Revenue increased 50 percent year-over-year to a record $11.5 billion, driven by continued strength in our Data Center busi...

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SpaceX has more neocloud revenue

SpaceX's AI revenue grew more than three times to $2.6 billion from the year before, mostly because of deals that the company made to provide compute to other AI companies, according to SpaceX's quarterly earnings. The AI division, which the company said in its documents to go public was the source of most of its value, lost $1.5 billion this quarter, slightly less than in the same quarter last year. SpaceX made deals with Anthropic in May and Google in June to provide compute to the other two AI companies, putting it in competition with other neoclouds such as CoreWeave. The increased presen...

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PipeNetwork/minimax-h3-mlx

PipeNetwork/minimax-h3-mlx MiniMax released MiniMax-H3 two days ago - they describe it as a "a general-purpose, omni-modal generative system", which in practice means it accepts text, images, audio and video and can use them to generate up to 15 second video clips with audio included. This Python package ports it to MLX for running on Apple Silicon. I got it running on my M5 Max MacBook Pro. I cloned the repo and ran the model like this: # First download the models uvx --from huggingface_hub hf download MiniMaxAI/MiniMax-H3 \ --include 'FL2VA/*' --exclude 'FL2VA/transformer/*' uvx --from hugg...

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