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Native-speed vLLM transformers modeling backend
Introducing GPT-Live
A new generation of voice models for natural human-AI interaction, now powering ChatGPT Voice.
Meta rolls out Muse, a new AI image generator
The new image-generating model has numerous use cases, including advertising, decorating and creator-based opportunities.
From Hugging Face to Amazon SageMaker Studio in one click
Meta’s new Muse Image model can pull other Instagram users into AI photos
Meta is launching the first AI image generation model made by its Superintelligence Labs division. The Muse Image model now powers the image-making tools across the Meta AI app, Instagram, and WhatsApp, and it's coming soon to Facebook and Messenger, according to an announcement on Tuesday. It's part of the growing Muse family of AI models that replace Meta's Llama lineup. Alexandr Wang, who Meta hired to head up its Superintelligence Labs last year, says on Threads that Muse Image is "agentic," meaning it works with its Muse Spark large language model "to reason through your prompt, search the web, and plan before it generates." Meta is al … Read the full story at The Verge.
sqlite-utils 4.0, now with database schema migrations
This morning I released sqlite-utils 4.0 , the 124th release of that project and the first major version bump since 3.0 in November 2020. In addition to some small but significant breaking changes (described in this upgrade guide ), this version introduces three major features: database migrations , nested transactions (via a new db.atomic() method), and support for compound foreign keys . Database schema migrations using sqlite-utils Schema migrations define a sequence of changes to be made to a SQLite database, plus a mechanism for tracking which migrations have been applied and applying any that are found to be pending. Migrations are defined in Python files using the sqlite-utils Python library , which includes a powerful table.transform() method providing enhanced alter table capabilities that are not supported by SQLite's ALTER TABLE statement. ( table.transform() implements the pattern recommended by the SQLite documentation - create a new temporary table with the new schema, copy across the data, then drop the old table and rename the temporary one in its place.) Here's an example migration file which creates a table called creatures , adds an additional column to it in a second step, then changes the types of two of the columns in a third: from sqlite_utils import Migrations migrations = Migrations ( "creatures" ) @ migrations () def create_table ( db ): db [ "creatures" ]. create ( { "id" : int , "name" : str , "species" : str }, pk = "id" , ) @ migrations () def add_weight ( db ): db [ "creatures" ]. add_column ( "weight" , float ) @ migrations () def change_column_types ( db ): db [ "creatures" ]. transform ( types = { "species" : int , "weight" : str }) Save that as migrations.py and run it against a fresh database like this: uvx sqlite-utils migrate data.db migrations.py Then if you check the schema of that database: uvx sqlite-utils schema data.db You'll see this SQL: CREATE TABLE " _sqlite_migrations " ( " id " INTEGER PRIMARY KEY , " migration_set "
Discord admits AI moderation bug wrongfully banned users over harmless images
The company confirmed that the issue had been affecting accounts since May, with an additional 200 users banned over the weekend before its team identified and fixed the problem.
Anthropic is launching Claude Cowork on mobile and web
Starting Tuesday, Anthropic's Claude Cowork AI platform will be available on mobile and web for the first time. The expanded access is rolling out first to Max subscribers and coming to Claude users on other plans "in the coming weeks." Claude Cowork was previously only accessible through the Claude desktop app for macOS and Windows, but now users on iOS and Android can also use it. However, Anthropic says the "full experience" for Cowork will still be on the desktop app, including features like local file access. Cowork sessions will also now run in the cloud by default, so you can continue them across different devices or run Cowork ta … Read the full story at The Verge.
sqlite-migrate 0.2
Release: sqlite-migrate 0.2 The version that retires the library, instead implementing a compatibility shim against the new sqlite-utils 4.0 dependency. Tags: sqlite-utils
Claude Cowork expands to mobile and web
With this update, users can start a task from their desk, get status updates on their phone, and pick up the finished output later — even if their laptop is closed.
github-code Web Component
Tool: github-code Web Component An experimental Web Component built using GPT-5.5 and the following prompt : let's build a Web Component for embedding code from GitHub It takes URLs like that, converts them to https://raw.githubusercontent.com/simonw/sqlite-ast/437c759129154f05296324a7f82aa1246340dd14/sqlite_ast/parser.py, then uses fetch() to fetch them and displays the specified range of lines - with line numbers, no syntax highlighting though Show me a preview web browser so I can see your work Here's what it looks like embedded on this page: Tags: github , web-components , gpt
sqlite-utils 4.0
Release: sqlite-utils 4.0 See sqlite-utils 4.0, now with database schema migrations for details. Tags: sqlite-utils
Hugging Face Models on Foundry Managed Compute
The first American autonomous ground vehicles are fighting in Ukraine
Forterra has deployed more than 100
Expanding Managed Agents in Gemini API: background tasks, remote MCP and more
We’re announcing new capabilities in Managed Agents in Gemini API so developers can build reliable, production-ready agents.
sqlite-utils 4.0rc4
Release: sqlite-utils 4.0rc4 The last RC before the 4.0 stable release. Mainly implements feedback from a detailed review by Claude Fable 5. Tags: sqlite-utils , claude-mythos-fable
LeRobot v0.6.0: Imagine, Evaluate, Improve
Run AI workloads on any cloud, store on Hugging Face: zero-egress storage with SkyPilot
Australian Payments Plus moves faster with ChatGPT and Codex
See how Australian Payments Plus uses ChatGPT Enterprise and Codex to move faster through payments complexity. AP+ saves time, improves quality, and keeps human judgment central.
tencent/Hy3
tencent/Hy3 New Apache 2.0 licensed model from Tencent in China: Hy3 is a 295B-parameter Mixture-of-Experts (MoE) model with 21B active parameters and 3.8B MTP layer parameters, developed by the Tencent Hy Team. Following the Hy3 Preview launch in late April, we gathered feedback from 50+ products and scaled up post-training with higher quality data. Today, we introduce Hy3, which outperforms similar-size models and rivals flagship open-source models with 2-5x parameters. It also shows significant gains in utility across various products and productivity tasks. The full-sized model is 598GB on Hugging Face, and the FP8 quantized one is 300GB . The context length is 256K. It's available for free on OpenRouter until July 21st . I had it "Generate an SVG of a pelican riding a bicycle" there and got this: Tags: ai , generative-ai , llms , pelican-riding-a-bicycle , llm-release , ai-in-china