Mozilla shut down the well-loved read-it-later Pocket app last year, and now Meta is launching an app called Pocket with an entirely different, AI-focused pitch: this new app lets you make and share little interactive "gizmos" built from an AI prompt, as reported by Business Insider. Meta CEO Mark Zuckerberg is all in on AI […]
Cyberattacks used to be the biggest security issue surrounding AI infrastructure, but that could be changing. A recent cargo theft The post The $1.3 million theft that exposed AI’s blind spot appeared first on The New Stack .
Microsoft’s latest AI services announcement suggests the era of standardizing on a single model may be ending. This week, the The post Microsoft just admitted its biggest AI mistake — and spent $2.5 billion fixing it appeared first on The New Stack .
Godot Engine, the open-source alternative to game engines such as Unity, is rewriting its contribution policy to bar most AI-generated The post “AI contributions are demoralizing”: Godot bans coding agents to save its mentoring model appeared first on The New Stack .
Ballistic and cruise missiles and drones were used in what Kyiv's mayor, Vitali Klitschko, said was the largest attack on the city since the war began.
You can now run GitHub Copilot CLI in GitHub Actions using the built-in GITHUB_TOKEN. This means that you no longer need to create and store a personal access token (PAT),… The post Copilot CLI no longer needs a personal access token in GitHub Actions appeared first on The GitHub Blog .
They may not understand every word, but fans appreciate exuberant announcers who match their enthusiasm. Plus, cameras stay on the field during hydration breaks rather than cutting to commercials.
Release: llm-coding-agent 0.1a0 Another Fable 5 experiment. Now that my LLM library has evolved into more of an agent framework it's time to see what a simple coding agent would look like built on it. I started a new Python library using my python-lib-template-repository GitHub template repository, then ran these two prompts (here's the Claude Code for web transcript ): Write a spec.md for this project - it will depend on the latest “llm” alpha from PyPI and implement a Claude code style coding agent complete with tools for reading and editing files and executing commands Then: Commit the spec, then build it using red/green TDD in a series of sensible commits (each with passing tests and updated docs) - occasionally manually test it using the OpenAI API key in your environment Here's the spec , the resulting README file , and the sequence of commits . I've shipped a slop-alpha to PyPI, so you can run the new agent like this: uvx --prerelease=allow --with llm-coding-agent llm code It's pretty good for a first attempt! Here's the (Fable-authored) README , which lists recipes like llm code --yolo and llm code --allow "pytest*" --allow "git diff*" . It also presents a Python API based around a CodingAgent(model="gpt-5.5", root="/path", approve=True).run("Fix the failing test in tests/test_parser.py") class which I didn't ask for but I'm delighted to see implemented. Here's the suite of tools it implemented , listed using uvx ... llm tools : CodingTools_edit_file(path: str, old_string: str, new_string: str, replace_all: bool = False) -> str Replace an exact string in a file. old_string must match the file contents exactly (including whitespace) and must identify a unique location unless replace_all is true. Returns a diff of the change so it can be verified. CodingTools_execute_command(command: str, timeout: int = 120) -> str Run a shell command in the session root directory. Returns combined stdout and stderr followed by an Exit code line. timeout is in seconds (maximum 600); on timeout the whole process tree is killed. CodingTools_list_files(pattern: str = '**/*', path: str = '.') -> str List files matching a glob pattern, newest first. Skips hidden directories, node_modules, __pycache__ and (in a git repository) anything covered by .gitignore. Returns at most 200 paths relative to the searched directory. CodingTools_read_file(path: str, offset: int = 0, limit: int = 2000) -> str Read a text file, returning numbered lines like cat -n. Paths are relative to the session root. Use offset (0-based first line) and limit (max lines) to page through files too large to read in one call. CodingTools_search_files(pattern: str, path: str = '.', glob: str = None, max_results: int = 100) -> str Search file contents for a regular expression. Returns matches as path:line_number:line, capped at max_results. Use glob (e.g. "*.py") to restrict which files are searched. CodingTools_write_file(path: str, content: str) -> str Create or overwrite a file with the given content. Parent directories are created as needed. Prefer edit_file for modifying existing files. I tried it out by running llm code --yolo and then prompting: mkdir /tmp/demo and then in that folder create a simple swiftui CLI app for telling the time in ascii art Here's the transcript , in which GPT-5.5 reasoning notes that "SwiftUI isn't suitable for a true CLI" and then builds an app that outputs this on swift run AsciiTime : █ █████ ████ █ █ ███ ██ █ █ █ ██ █ ██ █ █ █ ████ ███ █ █ █ █ █ █ █ █ █ █ █ ███ ████ ████ ███ ███ █████ Tags: projects , ai , generative-ai , llm , llm-tool-use , coding-agents , claude-code , claude-mythos-fable
The Federal Bureau of Investigation (FBI) said today it worked with industry partners to seize hundreds of domains associated with NetNut, a sprawling residential proxy service operated by the publicly-traded Israeli company Alarum Technologies [NASDAQ: ALAR]. The action comes roughly two weeks after KrebsOnSecurity published findings from multiple security firms connecting NetNut to the Popa botnet, a collection of at least two million devices that have been compromised by malicious software with little or no consent from victims.
Microsoft is investing $2.5 billion in a new unit called "Frontier Company" that puts 6,000 engineers directly at enterprise customers. The goal is to integrate AI into core processes with measurable ROI, not more experimentation. Microsoft is positioning itself as a platform-neutral alternative to OpenAI and Anthropic, which push their own models through their own deployment companies. The article Microsoft launches $2.5 billion "Frontier Company" to embed 6,000 AI engineers inside enterprise clients appeared first on The Decoder .