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Every lab is playing this same game: squeeze more tokens per watt, price highly, and acquire more power.
Google's Aluminium OS is essentially plain Android with several desktop experience features.
The future of coding is building better conceptual models, vocabularies, and foundations on top of which both humans and LLMs can work.
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Plaid achieved their best-performing direct buy to date, adding $382k in pipeline, earning 70 leads, and achieving 20.1x ROI. Read the Plaid
eBay has several concerns with the offer, including uncertainty around GameStop's financing, operational risks, and the debt load that would result from the proposed transaction.
SpaceX is targeting thousands of Starship launches per year, a cadence that will require many different launch locations.
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AI security is on everyone's mind - but few have a roadmap they can stand behind.
Fast mode for Claude Opus 4.7 is now available in research preview in the API and Claude Code, and on Cursor, Emergent, Factory, v0, Warp, and Windsurf. Fast mode is currently opt-in, but it will eventually become the default. A link to join the waitlist for fast mode is available.
Meta's Muse Spark foundational model is now powering Meta AI across the company's services. The model enables faster voice responses, smarter shopping assistance, and real-time visual recognition through device cameras. The initial rollout targets users in the US and Canada.
Google and SpaceX were reportedly discussing orbital data centers as part of broader efforts to expand AI compute infrastructure beyond Earth-based facilities.
Inference workloads are more variable and less predictable than training workloads. This makes them a natural fit for serverless computing. However, serverless computing only works if new replicas can be spun up as fast as demand changes. This article looks at how Modal took AI inference server scaling from multiple kiloseconds to just tens of seconds.
The AI infrastructure boom has driven increased demand for analog and power semiconductors, notably benefiting Multilayer Ceramic Capacitors, amidst a past supply glut and competition. Companies like Texas Instruments and NXP Semiconductors are avoiding capacity expansion, focusing instead on raising prices and improving profitability. The semiconductor supply chain, previously supporting EV and solar industries, is now being leveraged for AI-related demand growth.
Parameter Golf attracted over 1,000 participants and 2,000 submissions focused on minimizing loss on a dataset within strict constraints. Participants leveraged a range of techniques, including careful tuning, quantization, and novel modeling ideas, with AI coding agents playing a significant role. This challenge revealed new talent and highlighted the evolving role of AI agents in research competitions.
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Cactus Needle is a 26M parameter Simple Attention Network distilled from Gemini 3.1 that can be finetuned locally on a Mac/PC. It runs on Cactus at 6,000 tokens per second prefill and 1,200 decode speed. The weights are fully open. Simple Attention Networks are aimed at redefining AI for consumer devices like phones, watches, and glasses.
OpenAI shared a Codex workflow for agents that iteratively review, repair, and validate outputs using structured feedback loops to improve reliability.
The article discusses using reinforcement learning to fine-tune 4B models as recursive language models (RLMs) for production, achieving efficient task-specific behavior at a lower cost. By training a shared policy for both parent and child RLMs, this approach maintains task performance and reduces the need for multiple models. In tests, this method matches the performance of larger models like Claude Sonnet 4.6 but operates with significantly reduced size and cost.
Researchers derived compression-aware neural scaling laws by training nearly 1,300 models, revealing how bytes per token affect compute allocation. This challenges the heuristic that scales models by 20 tokens per parameter, showing it's due to specific tokenizers. The study suggests scaling should use bytes, not tokens, for better compute efficiency across diverse languages.
Google introduced new Gemini-powered Android features that can complete actions across apps, browse the web, fill out forms, and generate custom widgets through natural language prompts.
Today's LLMs may be commercially valuable, but predicting text alone will not lead to human-level intelligence because language is only a small fraction of how humans understand the world. Future AI systems will instead rely on “world models” that learn abstract representations of physics, causality, and consequences, enabling planning, reasoning, and adaptation in real-world environments like robotics, healthcare, factories, and industrial systems.
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The Qwen team released Qwen-Image-2.0, their latest multimodal image generation model, showing improved typography, instruction following, photorealism, and long-text rendering across generation and editing tasks.
Agentic search models are specialized LLMs trained specifically on search.
TLDR's Applied AI team is tasked with making every process at TLDR legible to code, runnable by anyone, and composable into larger workflows. Join a small, fast moving team using the latest AI tools with an unlimited token budget. Learn more [24].
This repository contains reference agents, skills, and data sectors for the legal workflows that Anthropic most commonly sees.
Mk1 is a video analysis AI model priced 80-90% cheaper than rivals like Anthropic, OpenAI, and Google.
WhatsApp is rolling out a redesigned iPhone app inspired by Apple's iOS 26 “Liquid Glass” aesthetic, bringing more transparency, depth, blur effects, and fluid animations throughout the interface. The update refreshes elements like the bottom navigation bar, keyboard, buttons, and context menus with semi-transparent, layered visuals that better match the latest iOS design language, though the rollout is gradual and some parts — like the chat bar — still retain the older flat style.
iOS 26 adds a new “Spatial Scenes” feature that brings a 3D effect to iPhone wallpapers, making photos appear more immersive and dynamic as you move the device. The effect, which is also integrated into the Photos app and Home Screen widgets, works especially well as a wallpaper by adding depth and subtle motion to personal images. Users can choose from Apple's suggested spatial wallpapers or manually enable the effect on nearly any photo in their library through the Wallpaper settings, where iOS automatically generates the 3D scene before saving it.
New York Design Week runs May 14-20, transforming the city into one of the world's most design-saturated destinations through the NYCxDESIGN Festival. The week features dozens of events across Manhattan and Brooklyn, including the SHINE light exhibition at The Seaport and an AI design conference. The International Contemporary Furniture Fair at the Javits Center (May 17-19) serves as the week's anchor event, functioning as North America's leading contemporary design fair.
Technical education should teach humility about how extraordinary it is for machines to work at all, since complexity spreads like a virus when not properly managed. Well-constructed systems require leadership or principles that know what to say "No" to, while revolutionary software faces resistance because people aren't ready for change. When drowning in complexity, take solace that revolutionary ideas can emerge to create better abstractions and simpler systems.
The conversation around AI in creative industries has shifted from pure anxiety to a more complicated debate about how to live and work with a technology that is now impossible to ignore. Many creatives still oppose generative AI because of concerns over copyright theft, environmental costs, and job losses, while others who tested the tools professionally found them unreliable and not yet ready for high-end creative work. At the same time, some designers and artists see value in AI for repetitive or administrative tasks, while arguing that human creativity, taste, and originality remain essential and difficult to replace.
shadcn/ui has quietly become the default foundation behind many AI-generated user interfaces, powering the patterns and components produced by tools like Figma Make, Cursor, and Claude. Its popularity comes from offering clean, accessible, copy-and-paste React components that developers fully own and customize, making it an ideal fit for AI coding workflows. The broader shift highlights how modern design systems are increasingly shaped by developer ecosystems, AI tooling, and code-first infrastructure rather than traditional design platforms, with many designers only later realizing how deeply these defaults had already spread across the industry.
Flyne AI is a cutting-edge tool that transforms text and images into high-quality images and videos.
Fastlane is a platform that helps users create viral short-form content for TikTok, Instagram Reels, and YouTube Shorts in seconds. Users can enter their website URL, browse thousands of auto-generated content options, and schedule posts across multiple social platforms with performance tracking included.
A native moodboard app for iPhone, iPad, and Mac that auto-tags everything you save by color, style, scene, and even the words inside images, so your inspiration library stays searchable without manual sorting.
User journey maps visualize every action, emotion, and pain point a user encounters while achieving a goal, explaining why users drop off rather than just where. Building one involves five steps: defining a research-backed persona, setting a specific scenario, mapping all touchpoints, capturing an emotion curve, and converting pain points into prioritized opportunities. Organizations that act on these maps see compounding business gains, including stronger marketing returns and faster sales cycles — but only when maps are grounded in real user research, not internal assumptions.
A 30-year design veteran shares 10 hard-earned lessons from a year of solo-building a data-intensive product. The core insight is treating data as the interface itself — letting its structure drive page layout, navigation, and interaction rather than decorating a pre-designed shell. Practical tips include learning Python, working with realistic data, bridging user mental models with system data models, and designing thoughtfully for empty states.
The best design gadgets for creative professionals in 2026 represent a fundamental shift in how tools relate to creative process.
Wax Heads is a cozy puzzle game where you work in a record store, decoding customers' vague descriptions to find the right vinyl albums for them.
A performance bug in the quiche implementation of the CUBIC congestion controller caused the congestion window to get stuck at its minimum due to a Linux kernel optimization for idle periods, inadvertently triggering a "death spiral" that prevented data transfer rate increase. The issue was resolved by adjusting the code to measure idle time from the most recent acknowledgment instead of the last packet sent, allowing the controller to properly distinguish between true idleness and network congestion.
Senior developers struggle to communicate effectively because their focus on managing system complexity conflicts with the business priority of market speed. Experts can bridge this gap by framing technical caution as a resourceful path to faster business goal achievement.
Wix launched a massive initiative to replace thousands of generic error messages with empathetic, user-centered communication that avoids jargon and offers clear, actionable resolution steps.
Discomfort with “lights-out” AI-generated codebases mirrors a question already solved for compilers: nobody reviews compiler output because upstream apparatus (type systems and specs) and downstream apparatus (tests, monitoring, and rollback) made reading the artifact unnecessary. The equivalent doesn't yet exist for coding agents — prompts aren't formal specs, test suites can't catch plausible-but-wrong code at 50x human rate, and AI-checks-AI pipelines are bolt-on rather than first-class CI. Lights-out codebases should be treated as a design target that specifies what verification infrastructure must be built, not an inevitability to brace for.
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