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Introducing computer use in Gemini 3.5 Flash
Accelerating Transformers Fine-Tuning with NVIDIA NeMo AutoModel
[AINews] Claude Tag: Multiplayer, Proactive, Persistent Agents in Slack
Claude finally gets a Slackbot upgrade
OpenAI and Broadcom unveil LLM-optimized inference chip
OpenAI and Broadcom introduce Jalapeño, a custom AI chip built for LLM inference to improve performance, efficiency, and scale across AI systems.
Introducing the FFASR Leaderboard: Benchmarking ASR in the Real World
datasette 1.0a35
Release: datasette 1.0a35 I'll write more about this one soon, but it's a big release. Three highlights from the release notes: New "Create table" interface in the database actions menu, backed by the / /-/create JSON API . It can define columns, primary keys, custom column types, NOT NULL constraints, literal defaults, expression defaults and single-column foreign keys. ( #2787 ) New "Alter table" table action and / / /-/alter JSON API for changing existing tables: add, rename, reorder and drop columns; change column types, defaults, NOT NULL constraints, primary keys and foreign keys; and rename the table. The alter table dialog also includes a "Drop table" button. ( #2788 ) New Template context documentation listing the variables available to custom templates for Datasette's core pages. Variables documented there are treated as a stable API for custom templates until Datasette 2.0. The documentation is generated from dataclass definitions next to the view code, with tests that compare the documented fields against the actual contexts rendered by the database, table, query and row pages. ( #1510 , #2127 , #1477 , #2803 ) Here's a rough video demo I made of the new create/alter table feature as part of reviewing the PR : Tags: datasette
Introducing Claude Tag
Introducing Claude Tag
Following user outcry, AMD reinstates memory encryption in consumer CPUs
PP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M Parameters
Daybreak: Tools for securing every organization in the world
OpenAI introduces new Daybreak tools, including Codex Security and GPT-5.5-Cyber, to help organizations find, validate, and patch vulnerabilities at scale.
Patch the Planet: a Daybreak initiative to support open source maintainers
OpenAI introduces Patch the Planet, a Daybreak initiative helping open-source maintainers find, validate, and fix vulnerabilities with AI and expert review.
sqlite-utils 4.0rc1 adds migrations and nested transactions
sqlite-utils is my combined Python library and CLI tool for working with SQLite databases. It provides an extensive set of higher-level operations on top of Python's default sqlite3 package , including support for complex table transformations , automatic table creation from JSON data and a whole lot more. I released sqlite-utils 4.0rc1 , the first release candidate for sqlite-utils v4. The major version bump indicates some (minor) backwards incompatible changes, so I'm interested in having people try this out before I commit to a stable release. New feature: migrations There are two significant new features in this RC compared to the previous 4.0 alphas. The first is support for database migrations . This isn't a completely new implementation - it's a slightly modified port of the sqlite-migrate package I released a few years ago. I think that package has proved itself over time, so I'm now ready to bundle it with sqlite-utils directly. Here's what a set of migrations in a migrations.py file looks like: from sqlite_utils import Database , 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 ) This defines a set of two migrations, one creating the creatures table and another adding a column to it. You can then run those migrations either using Python: db = Database ( "creatures.db" ) migrations . apply ( db ) Or with the command-line migrate command: sqlite-utils migrate creatures.db migrations.py The system is deliberately small: it doesn't provide reverse migrations, so any mistakes you make should be fixed by deploying a fresh migration to undo them. Its predecessor has been used by LLM and various other projects for several years, so I'm confident that the design is stable and works well. The new migrations feature is documented here . New featur
sqlite-utils 4.0rc1
Release: sqlite-utils 4.0rc1 See sqlite-utils 4.0rc1 adds migrations and nested transactions . Tags: sqlite-utils
Samsung Electronics brings ChatGPT and Codex to employees
Samsung Electronics deploys ChatGPT Enterprise and Codex to employees worldwide, marking one of OpenAI’s largest enterprise AI rollouts.
Temporary Cloudflare Accounts for AI agents
Temporary Cloudflare Accounts for AI agents The announcement says this is "for AI agents" but (as is pretty common these days) the AI hook isn't really necessary, this is an interesting feature for everyone else as well. Short version: you can now create a Cloudflare Workers project and run this, without even creating a Cloudflare account: npx wrangler deploy --temporary Cloudflare will deploy the application to a new, ephemeral project which will stay live for 60 minutes. I had GPT-5.5 xhigh in Codex Desktop build this test application providing a tool for following HTTP redirects and returning the final destination. The temporary deployment worked as advertised. Running the deployment spits out the URL to a page for claiming the new project, for if you want it to last for more than 60 minutes. Here's what that claim screen looks like: Via Hacker News Tags: cloudflare
Apple patches high-severity eavesdropping vulnerability in Beats Studio Buds
New usage analytics and updated spend controls for enterprises
OpenAI introduces new spend controls and usage analytics for ChatGPT Enterprise, helping organizations manage costs and scale AI with confidence.
Improving health intelligence in ChatGPT
Learn how GPT-5.5 Instant improves ChatGPT’s health and wellness responses with stronger reasoning, better context, clearer communication, and physician-informed evaluations.
Getting more from each token: How Copilot improves context handling and model routing
How GitHub Copilot is making more of each session go toward useful work, so your credits go further. The post Getting more from each token: How Copilot improves context handling and model routing appeared first on The GitHub Blog.
