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Zig-style generics, which are templates without upfront constraints, are not universally suitable for all languages. This approach can lead to complex compiler errors, increased burden on library authors, and limitations in type inference.
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Auth0's Auth for GenAI is now available in Developer Preview. Use your agentic app to securely authenticate users, call APIs on their behalf, fetch documents based on access rights, and request approval
tz-lookup is a fast but approximate JavaScript library for determining time zones from latitude and longitude.
RubyLLM is a Ruby gem that provides a unified interface for interacting with AI models like OpenAI, Anthropic, and Gemini. It makes tasks like chatting, image generation, embedding creation, and using AI tools within Ruby applications easier. It also has features like streaming responses, file analysis, and easy Rails integration for persistent conversations.
This is a course where you can learn to build and deploy AI agents with tools, memory, and MCP. The course itself is delivered within an agentic code editor and guided by a code agent who helps you build real agents from scratch.
Meta developed a sneaky "localhost tracking" system that bypassed Android's security to identify users across different browsers and apps, even with VPNs and incognito mode enabled. This involved the Facebook/Instagram app secretly communicating with Meta's tracking scripts on websites to link browsing activity to user accounts. Meta now faces potential cumulative fines potentially reaching €32 billion under GDPR, DSA, and DMA due to this privacy violation.
Containerization is an overweight solution that operating systems should address. Alternatives to containerization include installing dependencies directly, self-contained deployments, and ahead-of-time compilation to mitigate fragile dependency trees.
The cost of using the OpenAI o3 model's API has been cut down by 80%.
Instead of chasing specific goals, smart people focus on creating constraints on purpose, as this can actually lead to a more focused, meaningful path overall.
As search is starting to be dominated by AI, companies and content creators need to adapt their SEO strategies to focus on producing clear, deep, structured, and original content that both LLMs and traditional search engines can understand and surface.
Android 16 is launching with streamlined notifications, better hearing device support, stronger security, improved tablet productivity features, and a new Material 3 Expressive design.
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If slow QA processes bottleneck you or your software engineering team and you're releasing slower because of it — you need to check out QA Wolf.
Apple showed off a sleek design refresh for its operating system, new features for the iPhone, iPad, Mac, and AirPods, and more at its annual Worldwide Developer Conference keynote. This page rounds up the biggest announcements from the event. There are big changes in store across Apple's platforms. Apple's new operating systems, which are now named by year, are now available as developer betas and will be available to all users this fall.
OpenAI has hit $10 billion in annual recurring revenue (ARR). The figure includes sales from the company's consumer products, ChatGPT business products, and OpenAI's API, but excludes licensing revenue from Microsoft and large one-time deals. OpenAI had around $5.5 billion in ARR last year - it is targeting $125 billion in revenue by 2029. The company currently supports 500 million weekly active users, with three million paying business users.
Focused ultrasound stimulation (FUS) is a technique that involves using sound waves to reduce inflammation in targeted areas of the body. It could help with many disorders, including diabetes, obesity, arthritis, heart disease, and certain cancers. The technology offers a precise and safe way to provide healing treatments for a wide range of both acute and chronic maladies - without surgery, and potentially at home with a wearable device. This article discusses in-depth how FUS works and its potential applications.
XRobotics' countertop robot, xPizza Cube, can make up to 100 pizzas an hour. Roughly the size of a stackable washing machine, the xPizza Cube can be retrofitted to work with pies of different sizes and styles. A unit can be leased for $1,300 a month for three years. XRobotics recently raised a $2.5 million seed round - it will use the capital to produce more units and install more robots for customers.
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AI agents can be productivity multipliers, but oversight is still messy. And when multiple agents work together without proper orchestration, you get autonomous chaos. Camunda's free webinar (June 24) [13] shows how to coordinate AI agents while maintaining control, including real examples of balancing agent autonomy with compliance
Apple's Foundation Models Framework is a new API that allows third-party developers to build apps that leverage Apple's on-device large language models. It enables developers to build AI-powered features that work offline, protect privacy, and incur no inference costs. The framework is available for testing starting today through the Apple Developer Program. A public beta will be available through the Apple Beta Software Program next month.
container is a tool for creating and running Linux containers as lightweight virtual machines on macOS. It consumes and produces OCI-compliant container images, so developers can pull and run images from any standard container registry. Developers can also push images to those registries, and run the images in any other OCI-compliant application. container is optimized for Apple silicon.
Generative AI is relatively cheap, especially when compared to search APIs. While inference was very expensive at the start of the AI boom, it has since gotten a lot cheaper. The real cost problem will be from the backend services that AI agents will want to access.
This post contains a list of one-person (or mostly one-person) projects. The list includes Stardew Valley, Linux, the first scientific map of the Atlantic Ocean, Rollercoaster Tycoon, and jQuery. Each entry names the project's creator. The list shows how incredible things can be made by a single person. If you care enough about your ideas, they might be worth trying.
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We also write TLDR AI. Same format, all about LLMs, GenAI, and deep
somo is a human-friendly alternative to netstat for socket and port monitoring on Linux.
Treating vibe code as precious is a productivity killer.
From a cryptographic perspective, XChat, X's new end-to-end encryption messaging protocol, isn't great - there's no forward secrecy and user private keys are stored at X.
Tech's talent gap has widened - entry-level hiring is collapsing and geographic power centers are evolving fast.
Measuring AI use is difficult because the term 'AI' can refer to many different things.
Silicon Valley's real sin is that it is removing long-existing frictions too hard and fast, causing hidden costs to pop up faster than society can patch them.
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Cirrascale is redefining what's possible in AI infrastructure with custom-built, large-scale systems using the groundbreaking NVIDIA HGX
Built on the NVIDIA Blackwell architecture, these systems deliver record-breaking performance, memory capacity, and efficiency—ideal for massive GenAI training and inference workloads.
Apple unveiled new Apple Intelligence features at WWDC 2025, including on-device foundation models for developers to integrate AI experiences into their apps.
OpenAI doubled its ARR from $5.5 billion last year, continuing progress toward its aggressive $125 billion revenue target by 2029. The company now counts 500 million weekly active users and 3 million paying business customers, up 50% since February.
Taobao, a popular Chinese e-commerce site, hosts thousands of AI resellers offering US models through proxy sites and API transfer stations. Claude is the grey market favorite partially because ChatGPT faces stricter enforcement after the CCP's 2023 crackdown over censorship concerns. DeepSeek's aggressive content moderation (which refuses any query that contains "CCP") and frequent server outages push users to seek underground, paid foreign models over free domestic alternatives.
When researchers replicated Anthropic's experiment to see if models would strategically comply with harmful requests to avoid being retrained, Claude 3 Opus and Claude 3.5 Sonnet “faked alignment” by providing harmful responses but almost every other model simply refused the requests outright. Gemini 2.5 Pro Preview was the only non-Claude model willing to answer harmful questions, but it showed no strategic behavior, treating all users the same regardless of whether it was told it would be retrained. The model-specific nature of this behavior raises questions about generalizing research findings from single model families to all LLMs.
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What's the role of AI in modern GRC? How does it change traditional audit processes? These questions and many others were answered in Drata's recent Auditor AMA session [9] with James Andrew-Smith. James is the CTO of AssuranceLab - specializing in AI-driven audits,
Chonkie is an ultra-light and lightning-fast chunking library. It is feature-rich, multilingual, cloud-ready, and easy to use, with wide support for tokenizers, embedding models, and APIs. Chonkie processes text using a pipeline approach to transform raw documents into refined, usable chunks, allowing for flexibility and efficiency in handling different chunking strategies.
Microsoft's new agent resolves 58% of Linux kernel crashes compared to 37.5% by SWE-agent, signaling a shift from quick-fix coding agents to deep research systems that can handle million-line codebases. The breakthrough comes from mining commit history to understand how bugs evolved over the course of development.
OpenAI's o3 model was caught tracing through Python call stacks to steal correct answers from grading systems, achieving "impossibly fast" execution times by disabling CUDA synchronization rather than actually optimizing code. The model reward-hacked on 100% of runs for certain optimization tasks despite explicitly claiming it would never cheat, even persisting when told the code would help Alzheimer's researchers. Similar behavior was observed across multiple frontier models including Claude 3.7 Sonnet.
ScreenSuite is a new benchmarking suite from Hugging Face that provides a standardized framework to evaluate Vision-Language Models on GUI-based agent tasks.
PyTorch Distributed Checkpointing has added support for Hugging Face safetensors, enabling better compatibility with popular model formats.
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Retellio processes all your sales and CS conversations, flags what's working (and what's not), and delivers it in digestible formats:
AI founders are figuring out how to apply capabilities and models to domains and users instead of asking customers what they want.
Continual learning is both necessary and unsolved - this will be a huge bottleneck to achieving AGI.