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ANTHROPIC TO PAY SPACEX NEARLY $45 BILLION FOR COMPUTING DEAL

Anthropic has agreed to pay SpaceX nearly $45 billion over the next three years for compute resources. It will pay $1.25 billion per month until May 2029, with either party being able to end the agreement with 90 days' notice. The companies had earlier this month inked a deal that gave Anthropic 300 megawatts of computing capacity from a large SpaceX data center in Memphis known as Colossus 1. This partnership has expanded to include capacity at a second SpaceX data center.

OPENAI REPORTEDLY MOVES TOWARD IPO

OpenAI is reportedly preparing for a potential IPO as early as September following the dismissal of Elon Musk's lawsuit challenging the company's structure.

STABLE AUDIO 3.0

Stability AI released a new family of Stable Audio 3.0 models, including open-weight versions capable of generating music and sound effects up to more than six minutes long.

AI SOLVES A LONGSTANDING GEOMETRY CONJECTURE

An OpenAI reasoning model autonomously disproved a major conjecture tied to the planar unit distance problem, an open question in combinatorial geometry that dates back to 1946. The proof introduced techniques from algebraic number theory and was independently verified by external mathematicians, marking one of the first cases where an AI system resolved a prominent unsolved mathematics problem.

ON BUILDING AGENTS FROM FIRST PRINCIPLES

Mishra strips away the TRL, Unsloth, and PRIME-RL framework abstractions to show that every agent-training system reduces to the same loop: prompt to model action to environment to reward to gradient update. He builds a toy tldraw-style text-to-diagram agent in pure Python where the model emits JSON create_shape and connect actions against a validating canvas, then layers a reward function combining JSON validity, schema compliance, layout quality, and semantic coverage of prompt keywords.

A BITTER LESSON FOR DATA FILTERING

New scaling studies reveal that using no data filtering may be optimal for large model pretraining in high compute, data-scarce settings. Large parameter models not only tolerate but benefit from including low-quality and distractor data. Contrary to prevailing beliefs, filtering out low-quality data may not be necessary with ample compute resources.

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INTRODUCING AGENT EXECUTOR, GOOGLE'S DISTRIBUTED AGENT RUNTIME

Google Agent Executor is an open-source runtime standard for reliable and efficient execution of long-running agent workflows. Key features like durable execution, secure isolation, and connection recovery enhance workflow management, while session consistency and trajectory branching support distributed agent environments. It also collaborates with Kubernetes Engine on Agent Substrate to optimize compute efficiency for massive agent deployments.

LANCE UNIFIED MULTIMODAL MODEL

Lance is a 3B multimodal model from ByteDance capable of image and video understanding, generation, and editing within a single architecture trained entirely from scratch.

LITEFRAME SCALES VIDEO LLM EFFICIENCY

LiteFrame proposed a lightweight video encoder designed to improve long-form video understanding in Video LLMs by reducing inefficiencies in both vision transformers and language model processing.

WAVFLOW GENERATES AUDIO DIRECTLY IN WAVEFORM SPACE

MIND-BLOWING GROWTH IS ABOUT TO PROPEL ANTHROPIC INTO ITS FIRST PROFITABLE QUARTER

Anthropic's revenue is set to more than double in the second quarter to $10.9 billion. The projections, disclosed to Anthropic's investors as part of an ongoing funding round, show how the company's sales have exploded since the start of the year. Its quarterly revenue is now growing faster than Google's and Facebook's in the run-up to their initial public offerings. The company might not remain profitable for the full year as it plans to increase spending due to its vast need for compute.

CHEAP AI COULD DERAIL OPENAI AND ANTHROPIC'S IPOS

OpenAI and Anthropic's expected IPOs face challenges due to decreasing AI costs and increased competition. American and Chinese labs are producing cheaper and efficient AI models, threatening their market share and pricing power. Enterprises are increasingly adopting cost-saving measures like "advisor models" and seeking affordable alternatives, complicating the valuation for anticipated IPOs.

GOOGLE ADDS LLMS.TXT CHECK TO CHROME LIGHTHOUSE

Google introduced an llms.txt check in Chrome's Lighthouse audits under the "Agentic Browsing" category to enhance machine interaction with websites.

THE UNSUSTAINABLE SUBSIDY

AI pricing is increasing as cash is tight and margins matter.

BETTER EXPERIMENTS WITH LLM EVALS — A FUNNEL, NOT A FORK

LLM evals paired with online experiments create a feedback loop that makes both evals and experiments smarter over time.

ALIBABA UNVEILS NEW AI CHIP IN PUSH FOR DOMESTIC ALTERNATIVES

Alibaba's new chip, the Zhenwu M890, is well-suited to handle the heavy memory and communication demands of AI agent workloads.

GOOGLE'S NEWEST APP IS AN AI-POWERED IMAGE EDITOR

AIRBNB GETS INTO HOTELS, EXPANDS AI FOR HOST ONBOARDING AND CUSTOMER SUPPORT

Airbnb is expanding beyond home rentals by adding boutique hotels to its platform in 20 cities, introducing new travel services like luggage storage and car rentals, and redesigning its app to support stays, experiences, and transportation in one place. The company is also deepening its use of AI, using it for host onboarding, wishlist comparisons, review summaries, and customer support, where its chatbot already handles 40% of queries and a voice-based AI assistant is planned for later this year.

APPLE MIGHT REPLACE ALUMINUM WITH TITANIUM IN FUTURE IPHONES AGAIN, PER LEAK

Apple is reportedly researching a new and improved titanium alloy for future iPhones after switching the iPhone 17 Pro back to aluminum, largely because titanium caused thermal and weight challenges. According to leaker Instant Digital, Apple still sees titanium as a premium material and is exploring ways to improve its heat conductivity while keeping its durability and lighter feel, with possible future use in models like the iPhone Ultra and future Pro devices.

ACTIVITY-FOCUSED DESIGN

Activity-focused design centers on the actions people take to reach their goals, with the core unit of analysis being what people do and how they do it. Task analysis is one approach that breaks down user goals into activities and individual tasks, requiring designers to choose appropriate levels of specificity for their design context. The process involves first identifying the most important user goals, then determining the specific tasks needed to achieve them.

FROM FASTER PENCIL TO AI EXPERIENCE ARCHITECT: A DESIGNER'S PATH

AI is pushing designers beyond simply creating screens and assets toward designing workflows, systems, and organizational processes around AI itself. The biggest opportunity isn't just working faster with AI tools, but becoming someone who shapes how AI fits into products, teams, and business decisions — turning design into a more strategic, systems-focused role rather than a purely production-focused one.

GOOGLE'S NEW APP ICONS WERE DESPERATELY NEEDED

Google is rolling out redesigned Workspace app icons after years of criticism that its previous “unified” designs made apps too difficult to tell apart. The updated icons keep a consistent gradient-based visual style but introduce more distinctive shapes, colors, and iconography, giving each app a clearer identity while improving legibility and accessibility. The redesign has been widely praised for balancing brand consistency with usability, while also adding a slightly nostalgic aesthetic inspired by early internet visuals and modern interface trends.

3D GAUSSIAN SPLATTING EDITOR

SuperSplat is an advanced browser-based editor for manipulating and optimizing 3D Gaussian Splats.

GENERATIVE ANALYTICS PLATFORM

Fusedash is a no-code AI dashboard software that automatically generates interactive KPI dashboards, charts, and real-time reports from uploaded data or connected APIs.

A VISUAL UNICODE EXPLORER

Charcuterie is a visual explorer for Unicode. Browse characters, discover related glyphs, and explore scripts, symbols, and shapes across the standard.

WHY MOTION DESIGN IS DEFINING MODERN DIGITAL COMMUNICATION

Motion design has become the driving force behind modern digital communication as platforms like TikTok and Instagram Reels have shifted audience expectations from static to dynamic content. Rapid technological advancements have transformed graphic design from a supporting visual element into a core marketing tool that captures attention and drives engagement. While static design still plays a supporting role, motion graphics — with animation, movement, and sound — create immersive experiences that stand out in today's fast-scrolling digital landscape.

THE CLICK'S CLEVER UNIVERSITY BRANDING PUTS THE ‘I' IN IDENTITY, INDIVIDUAL, AND IMPERIAL COLLEGE LONDON

Imperial College London introduced a new identity system designed to create a stronger sense of belonging by giving each department its own distinctive “I” logo inspired by its subject, from aeronautics to chemistry. Rather than making the university louder, the rebrand focuses on individuality, community, and pride across students and faculties, extending into merchandise and campus life to help departments feel personally connected to the wider university brand.

FRECKLES, TATTOOS, AND IMPERFECT HAIRLINES: INSIDE LEO, THE MEN'S HAIR LOSS BRAND THAT DITCHES THE GLOSS

LEO launched a new brand identity by Creative Spark that rejects the glossy, hyper-masculine style typical of men's hair loss advertising in favor of honest, relatable messaging and real-looking imagery. Built around the line “Where's your head at?”, the campaign focuses less on selling perfection and more on helping men feel understood, using candid photography, straightforward language, and a more emotionally open approach to hair loss and self-esteem.

ARTS AND CULTURE SLOWS DOWN AGEING. SO WHY AREN'T WE DOING MORE OF IT?

A new University College London study found that engaging in arts and cultural activities — like painting, singing, and visiting galleries — at least once a week slows biological aging at a cellular level.

WHICH OF THE FOLLOWING IS NOT TRUE ABOUT GRAPHIC DESIGN? COMMON MYTHS DEBUNKED

Common myths falsely claim that graphic design has no rules, requires only natural artistic talent, or can be reduced to simply using design software.

WIKIPEDIA'S MOST UNDERRATED LOGO FINALLY GETS THE LOVE IT DESERVES

To celebrate Wikipedia's 25th anniversary, Wikimedia embraced fan obsession with the quirky unused “Wikipede” logo concept by releasing limited-edition merch featuring the pixel-art mascot after an April Fools' joke about making it the new official logo went viral.

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LEARNINGS FROM 100K LINES OF RUST WITH AI

Using AI coding agents, a new Rust-based multi-Paxos consensus engine was developed with over 130,000 lines of code, modernizing the Replicated State Library. This spec-driven approach achieved a massive performance boost, increasing system throughput from 23,000 to 300,000 operations per second while ensuring high reliability through automated testing.

THE REACT2SHELL STORY

A security researcher describes finding React2Shell, a critical remote code execution flaw in React's undocumented “Flight” protocol used by Server Components and Next.js. Over a week, he and a collaborator discovered that the protocol's handling of complex objects and JavaScript “thenables” could be abused to hijack React's internals and chain function calls into arbitrary code execution. He reported it to Meta on November 30, and Meta confirmed it within roughly 17 hours and released a fix and advisory by December 3.

EVERYTHING IN C IS UNDEFINED BEHAVIOR

The prevalence of undefined behavior in C/C++ makes writing truly correct code nearly impossible, leading to systemic vulnerabilities across platforms. To mitigate these risks, developers should use LLMs to audit codebases for subtle flaws that escape human detection.

HOW TO WRITE "GARBAGE CODE" (BY LINUS TORVALDS)

Linus Torvalds, the creator of Git and Linux, says that overly complex or abstracted code, like unnecessary helper functions, makes code maintainability and understanding worse. It increases cognitive burden and, in some cases, it makes sense to repeat code to reduce human and LLM context switching. Code should be optimized for readability and ease of iteration.

THE TACIT DIMENSION: WHY YOUR BEST ENGINEERS CAN'T TELL YOU WHAT THEY KNOW

Software engineering expertise relies on tacit knowledge, an intuitive understanding that AI cannot grasp since it is only trained on explicit text and code. Over-reliance on AI risks losing such important architectural knowledge, making senior engineers and apprenticeship irreplaceable for transmitting these complex, unwritten insights.

openprose/prose. See the project →

QWEN3.7: THE AGENT FRONTIER

Qwen3.7-Max is a foundation model designed for autonomous AI agents, excelling in high-level reasoning and complex automation tasks like software engineering and office productivity. Its main feature is prioritizing long-horizon execution, allowing it to sustain coherent strategies across thousands of tool calls and multi-hour optimization tasks.

DISTRIBUTED SYSTEMS TESTING SKILLS

This repository introduces two specialized skills for AI coding agents to automate the planning and execution of tests for distributed and stateful systems. The methodology prioritizes claim-driven testing, where specific product promises are validated against complex failure modes like network partitions, concurrency issues, and crash-recovery scenarios.

INCIDENT REPORT: MAY 19, 2026- GCP ACCOUNT SUSPENSION

A total, eight-hour service outage for Railway on May 19 was caused by Google Cloud incorrectly suspending its production account, which cascaded across all regions as network route caches expired. Restoration required a staged recovery of infrastructure, and future plans include adopting a true mesh network and distributing core dependencies across multiple vendors.

AN OPENAI MODEL HAS DISPROVED A CENTRAL CONJECTURE IN DISCRETE GEOMETRY

An OpenAI reasoning model has disproved the planar unit distance problem, a central conjecture in discrete geometry first proposed by Paul Erdős in 1946. This breakthrough marks the first time an autonomous system has solved a prominent open mathematical problem.

STRUCTURAL BACKPRESSURE BEATS SMARTER AGENTS

Shen-Backpressure integrates security invariants into system architecture using a formal specification language to enforce rules via deterministic "guard types." This structural approach forces AI agents to iterate until code satisfies underlying logic.

WHAT IF LOCK-IN DOESN'T MATTER SO MUCH ANYMORE?

Agentic programming allows for rapid, low-cost rewrites of complex systems, making programming languages and frameworks increasingly fungible rather than permanent technical lock-ins.