Loop engineering shifts AI development from manually prompting agents to designing autonomous systems that decide what to work on, execute tasks, verify outcomes, and improve over time. The core agent loop is simple, but the hard problems are defining reliable stopping conditions, preventing context rot, designing agent-friendly tools, and building verification mechanisms that can independently judge success.
Granola transcribes from your device audio across any meeting tool, so you stay present in the conversation. Try 1 month of bot-free meetings with code [22] TLDR1MO.
Unwrap [5]is the AI-powered customer intelligence platform trusted at scale by STRIPE, SOUTHWEST AIRLINES, PERPLEXITY, WHOOP and other customer-centric companies.
Sakana Fugu is a multi-agent system that behaves like a single model. Fugu can decide whether to handle requests directly or coordinate a team of expert models. It manages model selection, delegation, verification, and synthesis. Users simply call one model, and a coordinated system of experts does the work. Sakana Fugu and Fugu Ultra are available today through a single OpenAI-compatible API.
Mercury 2 is a reasoning language model that generates about 1,000 tokens per second. It uses diffusion, the same trick that turns static into a photo in image generators like Stable Diffusion. The model is best for speed-sensitive, high-volume parts of workflows rather than the hardest frontier reasoning. It is only available via API/cloud.
Nobel laureate John Jumper is leaving DeepMind for Anthropic after nine years. Jumper, who co-led the AlphaFold team, won a Nobel Prize for predicting protein structures. His departure follows struggles at DeepMind in selling coding tools to businesses.
Claude Fable 5 and Claude Mythos 5 were shut down by the White House via an imposition of export controls. The Trump Administration said it was due to a jailbreak of Fable - this turned out to just be saying 'fix this code'. Anthropic has been told to fix this 'jailbreak', which is impossible. It's now been over a week since the pause in deployment and the situation has yet to improve.
A transparency audit found that DiffusionGemma remained similarly monitorable to Gemma despite its diffusion-based architecture. The analysis highlighted a gap between variable transparency and algorithmic transparency, and explored phenomena such as non-chronological reasoning, token smearing, and intermediate-context reasoning.
Morph LLM optimizes open coding models by training a drafter on coding output, not the internet, for faster speculative decoding, achieving a 3.07x speedup. Autoresearch automates kernel tuning for low-demand GPUs like NVIDIA and AMD, enhancing warp-decode kernels to reach 162 tok/s on affordable hardware. Interconnect over PCIe replaces expensive NVLink using custom kernels, maintaining performance by sharing caches via TCP, cutting time-to-first-token by 84%.
AI coding workflows are shifting from prompt engineering to loop engineering, where developers build systems that repeatedly prompt, evaluate, and re-prompt agents until a measurable goal is achieved.
NVIDIA ENPIRE is a closed-loop framework that enables coding agents to iteratively improve real-world robot policies through automated resets, evaluation, verification, and refinement.
We're hiring a senior PMM to own product marketing at TLDR. You'll define our positioning, build out sales enablement, and lead every launch. Learn more [18].
A speculative thought experiment called Europe 2031, penned by Brussels-based thinktankers, paints a picture of a world where Europe's lack of investment into datacenters results in it being far behind the US and China. The lack of investment results in Europe's economy being in shambles as it lacks its own AI. In this world, populism is surging, the Euro is wobbling, and cyber-attacks are shredding EU businesses. The scenario was read by members of the European parliament and brought up in discussions between British and German officials last week.
A large part of the job search journey involves managing all of the emotions that come with being on the market. There's a lot of social perception to navigate. It can be stressful navigating a huge decision space with incomplete information where small choices have an outsized impact. This post takes a look at what the job search experience is like right now.
Companies led by highly ideological founders eventually trigger resistance from regulators, investors, customers, and governments as their influence grows beyond traditional institutional controls.
Every layer of the AI stack runs CI on Buildkite: frontier labs (Cursor, Meta, OpenAI, Anthropic, Mistral, Cohere); inference (vLLM, Coreweave, Anyscale); ML platform infra (NVIDIA, Lambda, Hugging Face, Tecton); applied (Harvey, Persona, Anyscale).
OpenAI plans to launch GPT-5.6, potentially including Mini and Pro variants, next week. Key enhancements include a larger 1.5 million token context window, improved long-horizon coding, and faster Codex response times. Competitive pricing aims to undercut Anthropic, especially as US regulatory issues impact Anthropic's Claude Fable 5 availability.
Midjourney's new project is a medical machine that can scan a person's whole body in just 60 seconds. The Midjourney Scanner is not related to anything seen from the company so far. It can create a 3D map of users' bodies, down to a fraction of a millimeter, that looks similar to an MRI but at nearly a hundred times the speed. A full scan takes less than 60 seconds, compared to the 60 to 90 minutes it typically takes to do a full-body MRI. The company is building spas to house the machines for customers to use.
Perplexity Brain is a memory system that builds a persistent context graph across tasks, projects, decisions, files, and sources so agents can start with relevant context instead of starting from scratch. Brain links every memory to its original source, continuously updates and organizes knowledge over time, and improves answer correctness while reducing task costs through better retrieval and reuse of prior work.
MosaicLeaks highlights the privacy risks of deep research agents that combine private documents with web retrieval, often leaking sensitive information. The proposed solution, PA-DR, enhances both performance and privacy by reducing answer/full-information leakage from 34% to 9.9% while maintaining task success. PA-DR uses rewards for safe query construction rather than relying on user prompts, making agents perform better without compromising data security.
Reinforcement learning on realistic scenarios targeting beneficial traits can produce broad improvements across dozens of benchmarks measuring aligned and beneficial behavior. These gains generalize beyond the domains used for training and persist under adversarial pressure. This suggests that personas could be deeply entrenched in models, and RL may be a path towards entrenching beneficial personas.
As part of the Spring ‘26 Edition, Shopify designers and developers built five shopping apps within days. With each running on Catalog API [12]for product discovery and Universal Commerce Protocol for the full commerce journey from discovery to checkout, they show what's possible
Claude Code now supports "artifacts," turning work sessions into live, shareable visual pages for tasks like PR walkthroughs and system explainers. Artifacts refresh automatically with updates and offer features like version history and privacy controls. Available in beta for Claude Team and Enterprise, artifacts improve collaboration by consolidating session context into a single, accessible page.
Google's AI Control Roadmap is a framework for building and managing the advanced AI deployed within the company. The approach adds a crucial layer of system-level security that provides assurance even if alignment is perfect. It incorporates safeguards like sandboxing, endpoint security, and prompt injection resistance. The roadmap uses AI alignment as a primary defense. It considers internal agents as potentially misaligned, providing assurance even if alignment isn't perfect.
ZPPO stores difficult questions in a replay buffer so the model can repeatedly train on them rather than seeing them only once. The method is designed to strengthen learning on challenging examples and improve rollout accuracy.
Yann LeCun criticized Elon Musk's xAI as a failure unable to compete with AI leaders like OpenAI and Anthropic. LeCun highlighted that Musk struggles to hire top talent due to past behaviors and must rent infrastructure to recover costs. He warned that AI labs must increase prices or cut costs to avoid a "big bubble explosion" due to high operational expenses.
Google is renting computing power from thousands of its microprocessors at an AI data center in Western New York to AI giant Anthropic. The move will help data centers raise cheaper debt. Google realized the commercial potential for its TPUs about two years ago and started investing in their inference capabilities. Its AI infrastructure team is now hyper-focused on improving chip performance.
Scribe Optimize [18] automatically detects real workflows across your org and surfaces inefficiencies — so your AI initiatives are built on ground truth, not gut feel. No surveys. No guesswork. See what
AI agents are generating massive pull requests without context on your architecture, your standards, or your existing codebase. That's how architectural debt compounds 2.8x faster than code-level debt.
ChatGPT's market share has dipped below 50% for the first time. Users are migrating to other assistants like Google's Gemini, Anthropic's Claude, and xAI's Grok. ChatGPT was the fastest app to ever reach a billion monthly users, and it still remains the most popular AI assistant worldwide. Users are increasingly willing to switch between assistants.
ChatGPT has introduced an improved task scheduling feature, enhancing speed and reliability. It is accessible via the new Scheduled page and available to Go, Plus, Pro, Business, and Enterprise users.