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The URL Pattern API defines a syntax that is used to create URL pattern matchers. Patterns are specified using the URLPattern interface with a pattern syntax based on the syntax from the path-to-regexp library. They can contain capturing groups that extract parts of the matched URL. The API works across all of the latest devices and browser versions.
Ruby 4.0 introduces Ruby Box and ZJIT and adds many improvements. Ruby Box is a feature that provides separations about definitions. Definitions loaded in a box are isolated in the box. ZJIT is a new just-in-time compiler developed to raise the performance ceiling and encourage more outside contributions. It is faster than the interpreter, but not yet as fast as YJIT.
Amazon is using its subsidiaries to experiment with shopping agents as it continues to contemplate how to deal with them. While the company may be willing to let agents access its catalog, it likely wants to protect more valuable data, such as reviews, from its competitors. Its homegrown AI tools have improved since they first launched. Amazon is now testing an agent that can purchase products from other sites directly in its e-commerce app.
Waymo vehicles become stranded if a human doesn't close the door behind them at the end of a ride. Riders and passerbys are unreliable, so Waymo summons help through an app called Honk, paying workers $20 or more for rescuing a robotaxi by closing a door. Last weekend's power outage in San Francisco resulted in a severe gridlock throughout the city, causing a flurry of requests for tow-truck companies to retrieve Waymo vehicles. These are examples of how, as automation advances, it can create new work for humans to fix errors.
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This post takes a look at what would happen if software were no longer constrained by the intelligence and time budget of the people who develop it.
Agents need to understand the full context before they can meaningfully record why a decision was made.
There were plenty of elements left behind during HTML's 32 years of evolution.
A complete guide to Claude Code features.
Use software skills to get in the door as an engineer, and then weasel into a science position.
The Wave 13 release adds multi-agent sessions, Git worktrees, and a layout that lets users monitor agents side by side.
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Welcome back to DELVE SHIPMAS - five days of major launches to modernize compliance. So far, we've launched AI copilot, AI VRM, AI security questionnaire Chrome extension, and today - we're launching:
Nvidia has signed a licensing deal with Groq for its AI-inferencing technology. Groq, founded in 2016, makes chips and software to run AI models. Its language processing unit chips are built for inference, the process that AI models use to generate content. The company's chips can be produced and deployed faster and use less power than GPUs.
Larry and David Ellison bought Paramount this summer, and now they are targeting Warner Bros. Discovery with a $108 billion hostile bid. Larry Ellison personally guaranteed $40.4 billion for the offer. If the deal works out, it could have enormous consequences for the news and entertainment industries. This article takes a look at the Ellison family, their past business dealings, and their relationship with each other throughout the years.
SpaceX's Starlink satellite service has surpassed 9 million active customers and is adding over 20,000 new users per day. Serving in over 155 countries, territories, and markets, the Starlink satellite constellation now has more than 9,000 low-Earth-orbit satellites. The growth rate reflects the rising demand for broadband in underserved regions. SpaceX may be positioning itself for an initial public offering as soon as next year, and Elon Musk has suggested in the past that Starlink could have its own IPO in the future.
A virtual cell is a model that lets researchers model diseases and treatments. Tied with the push for virtual cells are efforts to build a foundational model, similar to AlphaFold. Researchers will need to create their own datasets to answer specific questions to be successful in the field. This will require models that have the ability to explicitly identify, isolate, and subtract confounding noise.
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Vibium is a browser automation infrastructure built for AI agents. It uses a single binary to drive a browser using AI, with zero setup. The tool handles browser management, proxies, MCP servers, and more. It works across Linux, macOS, and Windows, with no manual browser setup required.
Git was designed to be a distributed collaboration tool for source code. It wasn't designed to be used as a database for package registries. Package managers who use git as an index all had to build workarounds as they grew, causing pain for users and maintainers. Package registries need fast point queries for metadata.
Most new financial services companies will be built on stablecoin rails in the next decade. Stablecoin rails unlock programmable money, access to internet capital markets where genuinely new financial primitives are being built every day, and the ability to let agents manage funds with real guarantees. This is an opportunity to rethink what financial services should actually look like. Most of the industry is still running on the 2015 fintech playbook on new rails.
OpenAI employees have reportedly started discussions on different ways to prioritize sponsored information in ChatGPT. The company is considering giving priority placement to sponsored results when users are clearly talking about buying a product, showing ads based on user information, or a sponsored sidebar that shows ads relevant to the conversation. OpenAI is wary about turning off users, as they might not trust a chatbot that injects ads into sensitive conversations. The pressure to increase revenue is building on OpenAI, which signed a flurry of massive deals this year that it will have to pay for.
Mini-frameworks are custom frameworks that small teams develop on top of shared stacks.
Large software systems are often very poorly understood, even by people most in a position to understand them, so the ability to accurately answer questions about large software systems is extremely valuable.
AST's BlueBird 6 has a massive antenna and processing that will allow it to support more than 2,000 cells per satellite, with 120Mbps of bandwidth per cell, to unmodified phones on the ground.
This post shines a spotlight on trends and well-deserved projects.
model.yaml is an open description standard for defining cross-platform, multi-format AI models.
A recent power outage in San Francisco caused Waymo robotaxis to get stuck.
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Welcome to Delve Shipmas. Every day this week, Delve is launching a new AI feature to make compliance more modern than ever. Yesterday, we launched the first-ever AI-native VRM platform. Today, we're launching... AI SECURITY QUESTIONNAIRE CHROME EXTENSION.
Many of the things we struggle to program into computers can be learned from data, but only when that data is available. If we can't learn from data, we are forced to program it in at lower performance. Computers can learn any skill, but only with enough data, and we don't want to have to need huge amounts of data for every single task. As models get better, they will need less data to learn new tasks, and when this happens, we'll finally be able to build truly general methods that combine physical understanding and cognition.
Microsoft is hiring staff to translate its codebase from C and C++ to Rust. It plans to combine AI and algorithms to rewrite its biggest code bases. The engineer will be expected to work on the tools Microsoft is building to complete the project. The candidate will have to work three days a week in Microsoft's Redmond office. The role pays between $139,900 and $274,700 a year.
An Australian team has discovered a way to transform normal T cells into supersoldiers in the body. The treatment helped four people with stubborn blood cancer go into remission for up to five months. The trial marks a step towards the next revolution in CAR T therapy. CAR T cells are usually made outside the body, and making them is costly for both the body and wallet. The durability of the new therapy, its longevity, and immune side effects still need to be studied, but the trials highlight the promise of a one-and-done therapy for deadly blood cancers.
Leash Bio is a Utah-based startup that aims to build big datasets of small-molecules x protein interactions and train a model on it, then use the trained model to design a drug. The startup has a nearly pathological design to make sure its models are learning the correct thing. The startup has produced a lot of interesting artifacts from its line of research. This post looks at a few of the discoveries the startup has made.
The ML Systems Design interview, as an interview type, is very easy to do badly. Some companies run a parody of the Big Tech interview process, while others clearly have thought deeply about what they want, but they still don't conduct effective interviews. The interview process should be robust enough to avoid being fooled by people who are good at talking, but still accurate enough to calibrate the candidate's level as well as willingness to push out-of-band offers. The best pitch for a candidate is to present to them a slate of talented and thoughtful interviewers who could be their future co-workers, and an interview process rigorous enough to assure them that their co-workers have been thoroughly examined.
Deploy freezes are a workaround, not a virtue. It's possible to evade the high-stakes peril of locks and freezes and terrifying recoveries by freezing merges and letting people work on other things, and also not freezing deploys unless your goal is to test deploy freezes. We often forget about the outages and instability we trigger with our inaction. Just run the deploy process as usual, but don't ship new code out.
Every technological shift requires people to stop seeing the world through the past and start imagining a new one. We are still trying to build chatbots onto workflows designed for humans. What we should do instead is to imagine what knowledge work could look like when the busywork is delegated to minds that never sleep. The knowledge economy is about to undergo a significant transformation.
Early-career roles are traditionally more execution-heavy. Over time, contribution tends to shift toward judgment and agency. AI systems are making faster progress on execution than on defining problems, choosing what to work on, and navigating ambiguity. This disproportionately affects entry-level hiring as the execution layer becomes cheaper and thinner.
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If AI models were in Hogwarts houses, Gemini would be Gryffindor, Mistral would be Ravenclaw, Codex would be Slytherin, and Claud would be Hufflepuff.
Some judgment is genuinely irreplaceable, but most organizations contain far less of that judgment than their headcount suggests.
The China Aerospace Science and Technology Corporation is conducting further analysis and investigation to determine why the first stage failed to be recovered.
MicroQuickJS is a JavaScript engine targeted at embedded systems that compiles and runs JavaScript programs with as low as 10 kB of RAM.
The core problems in robotics are far from solved, but most of the substantial blockers to robotics deployments now seem solvable at a technical level.
Neoen's big battery project in South Australia will be the first project in the world to deploy the new Tesla Megablock product.
NotebookLM has introduced Data Tables, a new feature that helps users organize and analyze information from sources in a structured format. The feature synthesizes sources into clean, structured tables ready to export to Google Sheets. It is now rolling out to all users. Screenshots of the feature are available in the article.
NotebookLM is testing a new 'Lecture' format for Audio Overviews. The feature will generate a comprehensive AI lecture of roughly 30 minutes. Lectures can be produced in different languages, depending on the user settings. A sample lecture is available in the article.
There's no wrong choice when it comes to AI. The tool you choose should match how you work. Try out both Claude and Codex and see which one fits. Every AI tool has its strengths and weaknesses, and the only way to discover what they are is by using them.
Agents can follow complex instructions, use tools, and work autonomously for hours. However, ask them the same question twice, and they have to start from scratch. We've made agents capable, but haven't yet figured out how to make them learn. This article looks at different types of memory and how they could be implemented into agents.
SpecBundle Phase 1 is a set of production-ready EAGLE-3 checkpoints trained with industry partners to improve real-world speculative decoding. The release focused on instruct-tuned models and shipped alongside SpecForge v0.2, which added major system refactors and multi-backend support.