DON'T SELL THE BUILD EFFORT
Do not price software based on how hard it was to build.
Full-text search across article titles and summaries. Refine with sector, year, content type, and reading-time filters.
Do not price software based on how hard it was to build.
Sponsored
If QA is a bottleneck on your software engineering team and you're releasing slowly because of it, you must check out QA Wolf.
SpaceX has agreed to provide Anthropic access to its Colossus 1 data center in Memphis, Tennessee. The plant has more than 300 megawatts of power and over 220,000 Nvidia GPUs - Anthropic has access to all of the compute. Anthropic is doubling Claude Code's 5-hour rate limits for Pro, Max, and Team plans, removing the peak hours limit reduction on Claude Code and Max plans, and substantially raising its API limits for Opus models.
Google is adding an extra section into its search results labeled 'Expert Advice' or 'Community Perspectives' (depending on the query and response) that will include snippets of wisdom with references to the source. It is also adding a 'Further Exploration' section to AI results and making links easier to see in AI responses. Hovering a link on the desktop version of Google Search will now show a preview of the website. The improvements in link visibility and helpfulness are aimed at helping users connect directly with sources and creators.
SpaceX conducted 165 launches with the Falcon 9 rocket last year. It plans up to around 145 Falcon launches this year. SpaceX is transitioning its sites to launch Starships. The Falcon 9 will still remain operational at least as long as the International Space Station, which is unlikely to retire before 2032. SpaceX will put Starship to work as soon as possible to launch upgraded Starlink Internet satellites.
China's early lead in humanoid robots will help power its next phase of global manufacturing and export dominance. The nation's share of global manufacturing is estimated to expand to 16.5% by 2030 from 15% today. Chinese tech parks, factories, and universities are already deploying humanoid robots, and government procurement is kicking in, paving the way for broader adoption. American firms like Tesla have invested heavily into the humanoid robot race, but Chinese firms have been quicker to roll out models using the local market as a testing ground.
TLDR is hiring a VP of Marketing to scale growth, pipeline, and brand across 8M+ subscribers, 13 newsletters, and advertisers like AWS, Google Cloud, Microsoft, and Anthropic. Apply here [14].
Engineers at high-growth startups can build so fast and independently that trying to map out the product area is a lost cause. Architects design buildings from the outside using floor plans and schematics to paint a perfect picture of reality. Engineers have to design from the inside out and make small changes to product surfaces that incrementally reveal improvements. This means creating tight links between design environments and the real product, collapsing feedback loops, and shipping.
Redis has been missing a real indexed data structure for situations where the index and the spatial relationship of elements are semantic. Arrays handle index-first requirements natively, and usually with much better memory and CPU usage than the workarounds. They also often provide much better space, time, and usability at the same time. This article links to an interactive playground for trying out the new commands in the recently submitted PR for Arrays in Redis.
Anthropic has reached a growth rate that could make it 80 times as big this year. The company's annual revenue run rate surpassed $30 billion last month. Anthropic's overwhelming rate of growth has increased the company's need for computing power. It has signed a series of deals with industry giants to obtain the required computing power.
Open weights models allow anyone to run the model on their own hardware. This allows model use to be private, flexible, and low-cost. Many companies will run open weight models at significantly less cost than the cost of frontier models per token, and the performance gap isn't that big. However, the increasing costs of training mean that more and more models are being released under tighter license conditions. The competitive open weights ecosystem may soon be at an end, and this has enormous implications for the wider economy.
Shareholders will be prohibited from bringing class actions against SpaceX, its directors, officers, controlling shareholders, or bankers tied to the IPO, and Musk will have the power to elect, remove, or fill any vacancy on the board of directors.
Consuming energy and producing ATP is hard, so brains try to maximize information retrieval and computing using the least amount of energy possible.
Google's Prompt API is a web standard that requires users to agree with Google's 'prohibited use policy' to use the only model available to it.
SQLite is likely used more than all other database engines combined.
Apple denied approval of Replit's updates as its app previewed generated apps inside the iOS client, which meant that the reviewed Replit binary effectively contained an unbounded number of unreviewed apps.
The reward for being early on a person is invisible, but the returns for doing it are absurd.
Sponsored
How much AI are your customers ready for? Well, 86% of AI users say it helps them better understand their finances. Consumers aren't afraid.
Anthropic increased usage limits for Claude through a new compute partnership with SpaceX, accessing over 220,000 NVIDIA GPUs. This expansion follows deals with Amazon, Google, Broadcom, Microsoft, NVIDIA, and Fluidstack for significant compute capacity. The company also plans international expansion to address compliance needs for enterprise customers in regulated industries.
Claude Managed Agents launched features like dreaming, outcomes, and multiagent orchestration. Dreaming enhances agent improvement by analyzing past sessions to identify patterns, while outcomes allow agents to self-correct based on predefined success criteria. Multiagent orchestration optimizes complex task management by enabling agents to delegate tasks to specialized subagents, as utilized by companies like Harvey, Netflix, Spiral by Every, and Wisedocs.
DeepSeek is in talks to raise money from China's National Artificial Intelligence Industry Investment Fund, a one-year-old government-backed fund with around $8.8 billion in capital. The startup aims to raise a few billion dollars in the new round, which values it at around $50 billion. DeepSeek is a key component in China's plan to have top-class homegrown companies in a range of AI fields. The strategy is a way to hedge against US export controls and to take leadership in bringing AI to the world.
OpenAI's Codex now surpasses Anthropic's Claude Code after Codex's integration of GPT-5.5 and improved app performance. Austin Tedesco highlights Codex's use in creating strategy documents from diverse sources, while Dan Shipper uses it for recruiting based on career trajectories. Marcus Moretti adopts a cautious approach to new AI tech, focusing only on tools solving real problems and proven by reputable use.
Language language models forget everything the moment they finish replying. Memory systems help them 'remember' things so they can have conversations. Agent memory systems are a part of the loop that carries information forward. This article looks at different ideas on what information should be passed on in each loop.
Sponsored
General-purpose AI agents fail in specialized domains — subtly wrong in edge cases. Domain specialization fixes this. Build AI agents with four levers [11]: system prompt, knowledge corpus, tool selection, guardrails. Demonstrated across customer engagement,
Multipath Reliable Connection (MRC) is an RDMA transport protocol that enables a single RDMA connection to distribute traffic across multiple network paths. This improves throughput, load balancing, and availability for large-scale AI training fabrics. MRC delivers high levels of GPU utilization by load-balancing traffic across all available paths. It gives administrators fine-grained visibility and control over traffic paths to simplify operations and accelerate troubleshooting at scale.
TokenSpeed, a high-performance LLM inference engine, optimizes agentic workloads with speed-of-light efficiency, leveraging a compiler-backed modeling mechanism and a high-performance scheduler. It delivers faster throughput than TensorRT-LLM for coding agents, with optimizations like TokenSpeed MLA to enhance Nvidia Blackwell's performance. Developed with NVIDIA DevTech and other collaborators, TokenSpeed significantly reduces latency and increases throughput in typical agentic workloads.
The vLLM V1 update improved inference correctness by addressing discrepancies in logprob computation, runtime defaults, inflight weight updates, and final projection precision. Key fixes included adjusting processed logprobs, disabling prefix caching, matching weight update models, and ensuring fp32 lm_head computation to align with vLLM V0's behavior. These changes resolved initial training mismatches, ensuring the new engine maintains expected RL performance without unnecessary objective-side corrections.
ProgramBench challenges agents to recreate software executables without source code, using only documentation and experimentation. The tasks range from terminal utilities to complex software like compilers and libraries, offering over 248,000 behavioral tests across 200 tasks. Agents must design and implement entirely from scratch in a secure, sandboxed environment, emphasizing software architecture skills without external aids or decompilation.
Google is betting that enterprise AI is a platform problem, not a services problem. It is in talks with Blackstone, KKR, and EQT to give their portfolio companies access to Gemini models through omnibus licensing agreements. The discussions are not exclusive, and no deals have been finalized. Google is offering private equity firms a commercial wrapper that gives their entire portfolio access to Gemini, then relying on the consulting ecosystem it has already financed to handle implementation. The approach trades consulting revenue for distribution speed.
AI inference demands extreme data performance, overwhelming traditional storage and data infrastructures. Vector DBs, sub-millisecond access times, and decoupled cloud storage are essential to handle unprecedented concurrency and unpredictable workloads. Silk offers a solution that boosts storage performance without heavy provisioning, keeping systems resilient against AI-driven demand spikes.
World models aim to advance AI from mere pattern recognition to understanding and interacting with the physical world, posing potential challenges like data friction and variation. Investments from AI pioneers like Yann LeCun are addressing these obstacles with significant billions to develop models that encapsulate complex physical interactions beyond current LLM capabilities. The struggle remains in obtaining diverse, high-quality, real-world data necessary for these models to function effectively, creating a significant challenge and opportunity in AI progression.
Sponsored
turbopuffer wrote about building a 100B-vector search index. The post examines turbopuffer's architecture, travels up the modern memory hierarchy, zooms into a single CPU core, and backs out to the scale of a distributed cluster. Read the blog [19].
Frontier model training depends on reliable supercomputer networks that can quickly move data between GPUs.
Sometimes, stable, self-reinforcing behavioral states emerge in large language models that resist suppression and sometimes spread into contexts far removed from the ones that produced them.
Systems keep getting better, and theorems keep arriving to explain why they can not - both can be true because they're usually about different things.
The design of subscription plans is being challenged by evolving product capabilities and usage patterns.
Moonshot has more than quadrupled its valuation in the span of just a few months.
Harvey's Legal Agent Benchmark (LAB) is an open-source tool for assessing AI agents' performance in legal tasks.
Google is testing screen sharing and custom agents in its Antigravity IDE.
Pinterest achieved its first billion-dollar quarter with $1.008 billion in Q1 2026 revenue (up 18% year-over-year), driven by 80 billion monthly visual searches that generate commercial intent data rather than social media engagement. The company's AI-powered Performance+ advertising suite delivered 24% higher conversion rates and 80% A/B test win rates by matching advertiser objectives to user intent signals from visual searches. Revenue growth was strongest internationally, with Europe up 27% and the Rest of World up 59%, while the mature US/Canada market grew 13%.
Google Arts & Culture is partnering with the White House and national institutions to celebrate America's 250th anniversary through a new digital hub called "Making of the Nation - America at 250." The platform features interactive 3D galleries, AI-powered exploration of historical documents, and personalized guides for national parks. Users can explore rare artifacts, untold stories from the American Revolution, and primary sources from the nation's founding using advanced digital storytelling tools.
Adobe has introduced a new AI-powered productivity agent for Adobe Acrobat that allows users to chat with PDFs, extract insights, and automatically generate presentations, podcasts, blog posts, and social media content from documents. The system also powers new “PDF Spaces,” interactive workspaces where users can combine files, links, and notes, then share them with customized AI assistants that can answer questions, summarize information, provide audio overviews, and guide recipients through content in a more engaging way. Adobe says the tools are designed to transform PDFs from static files into dynamic, interactive experiences for work, research, collaboration, and content publishing, with features aimed at businesses, marketers, HR teams, and everyday users alike.
A UX designer pushes back against narratives declaring design's death in the age of AI, arguing the discipline is evolving, not disappearing. Chat interfaces are often framed as the weakest affordance, and AI tools like Claude are powerful assistants rather than replacements for skilled, critical design thinking. As vibe-coding hype fades and the gap between prototype and product becomes clearer, design's role will remain essential — redefined, but no less valuable.
AI tools like Figma Make and Claude have broken the traditional design bottleneck, enabling non-designers to prototype and ship products independently. This forces designers to simultaneously master technical fluency, elevate their craft, rethink what products even are, and operate at higher strategic abstraction. Despite the exhaustion of constant tool churn and identity shifts, those who maintain taste and curiosity, rather than resisting or uncritically embracing change, will define the next decade of products.
AI design tools struggle to accurately recreate designs from Figma because most design systems only describe visuals, while important details like behavior, accessibility, tokens, and implementation logic remain undocumented or scattered across teams. The proposed solution is a “component.md” spec for every component — a structured markdown file that acts as a true source of truth both humans and AI tools can read to generate consistent implementations. Rather than replacing design tools, the idea is to separate visual exploration in Figma from the detailed specifications AI systems need to reliably build products.
OpenArt is an AI creator studio that enables users to generate videos, images, characters, and worlds. The platform offers various tools, including motion sync, lip-sync, editing capabilities, and 3D world creation.
FigPrompt.com is an AI Figma Plugin Architect that helps users create and develop Figma plugins using artificial intelligence.