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Latest AI tool releases, research breakthroughs, and industry news.
Earlier this week
Gemini’s personalized AI image generation is now free for US users
Google is expanding Gemini’s personalized AI image generation to eligible free users in the U.S., allowing the chatbot to create images based on your interests and data from connected Google apps.
OpenAI is teasing new hardware… for Codex
OpenAI is releasing some sort of device related to its AI-powered coding tool, Codex, on July 15th. In a video posted to X on Monday, OpenAI shows a square-shaped device with several buttons, alongside the caption, "Your favorite Codex shortcuts are getting an upgrade." This isn't the mysterious AI-powered device OpenAI is working on with former Apple designer Jony Ive, however. As shown in the teaser, OpenAI is launching the device in partnership with Work Louder, a company that sells an array of mechanical keyboards and macro pads with mappable keys, dials, and switches. The silhouette of the device shown by OpenAI looks a bit like Work … Read the full story at The Verge.
Anthropic and Gov. Newsom forge deal allowing California government to use Claude at half price
As Anthropic forges a closer relationship with the state of California, the federal government has made an enemy out of the OpenAI rival.
Highlights from Git 2.55
The open source Git project just released Git 2.55. Here is GitHub’s look at some of the most interesting features and changes introduced since last time. The post Highlights from Git 2.55 appeared first on The GitHub Blog.
Ornith-1.0: Self-Scaffolding LLMs for Agentic Coding
Ornith-1.0: Self-Scaffolding LLMs for Agentic Coding This is an interesting new open weights (MIT licensed) model, the first model release from DeepReinforce. [...] with variants including 9B Dense, 31B Dense, 35B MoE, and 397B MoE. Built on top of pretrained Gemma 4 and Qwen 3.5, it achieves state-of-the-art performance among open-source models of comparable size on coding benchmarks. As far as I can tell the licenses of those underlying models is compatible with being used in this way - Gemma 4 is Apache 2.0 licensed (and not bound by the janky additional Gemma Terms of Use that afflicted the previous Gemma models) and Qwen 3.5 is Apache 2.0 licensed as well. I've been running the model using LM Studio and the ornith-1.0-35b-Q4_K_M.gguf (20GB) GGUF, hooked up to Pi . Initial impressions are very good - it seems to be able to run the agent harness over many tool calls in a proficient way. Here's a terminal session where I asked it to "find the code that decodes the actor cookie" and then "find the code that opens the insert dialog when thebutton is clicked" against a Datasette checkout, which it handled with ease. I also had it draw this pelican , which came out at 103 tokens/second: It's a little bit mangled but the pelican is clearly a pelican. I couldn't find much information about DeepReinforce themselves. The earliest paper I could find from the was CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning from June 2025. Tags: ai , generative-ai , local-llms , llms , qwen , pelican-riding-a-bicycle , gemma , llm-release , lm-studio
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HP Inc. launches Frontier strategic partnership with OpenAI
HP Inc. scales its OpenAI Frontier partnership to deploy AI across customer experiences, software development, and enterprise operations.
[AINews] OpenAI GPT-5.6 Sol / Terra / Luna — restricted to trusted partners
Oddly tiered releases to both OAI and ANT on the same day.
GitHub and UNDP team up to advance development priorities in Ghana with open source
GitHub joined the United Nations Development Programme in Ghana to explore how open source governance can support one of West Africa's most ambitious digital reform efforts. The post GitHub and UNDP team up to advance development priorities in Ghana with open source appeared first on The GitHub Blog.
Previewing GPT-5.6 Sol: a next-generation model
OpenAI previews GPT-5.6 Sol, a next-generation model with stronger capabilities in coding, science, and cybersecurity, paired with its most advanced safety stack.
Run a vLLM Server on HF Jobs in One Command
Notion killing Skiff-influenced email app since most users use AI agents instead
Our latest Google Finance upgrades, including a new app
The new Google Finance is coming out of beta and launching a new Android app.
Introducing computer use in Gemini 3.5 Flash
Accelerating Transformers Fine-Tuning with NVIDIA NeMo AutoModel
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
