Google's new TPUs provide Google and its customers with a faster and more efficient AI platform. The TPU 8t was designed to reduce training time for frontier models from months to weeks. The TPU 8i is designed to be more efficient when running multiple specialized agents. It can also run in large pods of 1,152 chips. The TPUs will power Google's Gemini-based models, but they are also designed with third-party developers in mind, with both TPUs supporting popular frameworks that developers are already using.
Tesla plans to spend roughly $3 billion on building a research chip factory in Texas. The research facility will be built on Tesla's existing Giga Texas campus. It will be capable of outputting just a few thousand wafers per month, but it is more of a testing ground for new technologies and processes than a mass manufacturing facility. Tesla plans to leverage Intel's most advanced production process, 14A, which should be mature and ready by the time Tesla's plan scales up.
Xpeng, a Chinese automaker, is pouring serious resources into making manned electric aircraft a commercial reality. It has a prototype aircraft that can take off, hover, and land, all controlled by a single joystick. The prototype is part of a system with two parts: a six-wheeled, three-axle ground vehicle that serves as transport and charging station, and a detachable two-seat eVTOL aircraft that sits in the back and deploys autonomously. The entire package is priced around $300,000 USD. Xpeng is targeting customer deliveries toward the end of 2026.
Giving users too many options? Limiting them to static reporting? In both cases, your dashboards get ignored. Want dashboards that actually get used? This Reveal webinar [10] is for you. Learn how to decide what users can edit, design analytics experiences for different user personas, and enable interactions without custom dev. Save your seat
Coding agents have upended software engineering. The role is now shifting from building machines to designing and honing them. Engineers now focus less on precise lines of code and more on whether software produces the right outcomes over time. This shift changes what should be evaluated in interviews. This post looks at how Sierra redesigned its engineering interview process from the ground up to reflect this new reality.
SpaceX's mission for years was to get humans to Mars. However, over the last six months, the company's priorities have shifted. SpaceX recently struck a deal with AI startup Cursor that could result in the acquisition of the company for $60 billion. Elon Musk has proposed moonshots, including AI data centers in Earth orbit, moon-based factories, and an AI chip manufacturing plant. The changing goals have resulted in criticism from some investors.
Equity comp decision ahead? Employees at places like Anthropic, Databricks, and Ramp trust Titan with over $1B to get RSUs, options, and taxes right. Don't leave $100K on the table. Book your free equity
Workspace Agents allows ChatGPT Business, Enterprise, Edu, and Teachers users to design and select from pre-existing agent templates that can perform tasks across third-party apps and data sources.
We're hiring an engineer/researcher at a major AI lab or startup to help write for 1M+ subscribers. Curators have been invited to Google I/O and OpenAI DevDay, scouted for Tier 1 VCs, and get early access to unreleased TLDR products. Learn more [20].
There is a vulnerability in all Firefox-based browsers that allows websites to derive a unique, deterministic, and stable process-lifetime identifier, even in contexts where users expect stronger isolation.
OpenAI introduced workspace agents in ChatGPT, allowing teams to create shared AI agents for complex tasks and workflows. These agents, powered by Codex, perform tasks like generating reports, writing code, and managing communication, while integrating with various tools like Slack. Workspace agents are currently available in research preview for select ChatGPT plans, aiming to streamline collaboration and improve productivity.
Google launched Workspace Intelligence, enhancing Google Workspace with a semantic layer to integrate emails, chats, files, and projects for Gemini-powered agents. This update includes major product enhancements like natural-language spreadsheet building in Sheets and AI-driven features in Docs, Slides, Gmail, and Drive. Workspace Intelligence aims to make Workspace a centralized control layer for business operations, emphasizing security, context integration, and cross-application functionality.
Core Automation is an AI lab started by Jerry Tworek, a former OpenAI researcher, that aims to build the most automated AI lab in the world. It will start by automating its own research before developing new algorithms that go beyond pre-training and reinforcement learning. The lab will also create architectures designed to scale better than transformers. The team contains experts in frontier models, optimization, and systems engineering.
Perplexity's two-stage pipeline for search-augmented language models uses initial Supervised Fine-Tuning (SFT) followed by Reinforcement Learning (RL) to optimize factual accuracy, user preference, and tool-use efficiency. This approach, starting with Qwen3 models, separates compliance from search improvement to achieve accuracy without compromising guardrails. The models showed enhanced accuracy on benchmarks like FRAMES and FACTS OPEN with reduced cost per query and improved efficiency in tool usage over existing models like GPT-5.4.
Agentic workloads are reshaping inference engine benchmarks, demanding multi-turn, tool-using scenarios that strain KV cache management and scheduling due to longer traces and varied token distributions. Applied Compute introduced three workload profiles to aid in optimizing engine and accelerator performance. They released an open-source benchmarking tool to replay these scenarios, highlighting the need for solutions such as KV cache offloading and workload-aware routing to improve throughput and efficiency.
Most of what people put in AGENTS.md either doesn't help or actively hurts. The patterns that work are specific and learnable. This to post looks at which patterns work, which fail, and how to tell which is which for your codebase. Different patterns move different metrics, so pick patterns that target the problem you actually have.
Valuable data is often fragmented across various SaaS tools, file shares, and other silos that sneak up on you when you're trying to ship fast. In this webinar, Backblaze's director of Applied AI explains how you can build a scalable storage foundation on object storage using Backblaze B2 and B2 Overdrive [15]. for all the phases of the AI data pipeline. [16] See how you can store, label, and use
Qwen3.6-27B delivers flagship-level agentic coding performance. The Qwen team claims that it surpasses the previous-generation flagship Qwen3.5-397B-A17B across all major coding benchmarks. The model is 55.6 GB on Hugging Face, and there are even smaller quantized versions available. Tests show that the model delivers outstanding results, even when quantized.
The Gemini Enterprise Agent Platform is a comprehensive platform for building, scaling, governing, and optimizing agents. It brings together model selection, model building, and agent building capabilities together with new features for agent integration, DevOps, orchestration, and security. Agent Platform is a single destination for technical teams to build agents that can transform products, services, and operations. The agents can be delivered to employees through the Gemini Enterprise app.
Agents can connect to external systems through direct API calls, CLIs, and MCP. This post looks at where each fits and the patterns for building those integrations effectively. MCP becomes the critical compounding layer as production agents move to the cloud. Every integration built on MCP strengthens the ecosystem.
Microsoft plans to roll out token-based billing for all GitHub Copilot customers starting in June. Copilot Business Customers will pay $19 per-user-per-month and receive $30 of pooled AI credits. Copilot Enterprise customers will pay $39 per-user-per-month and receive $70 of pooled AI credits. It is unclear what will happen to individual subscribers.
Personalization in LLM responses introduces variation but often retains a stable semantic core across answers. This shared foundation results from common model priors, overlapping retrievals, and product constraints, with differences emerging in examples and emphasis. Understanding this allows businesses to optimize their presence in AI-generated content by focusing on being part of the model's core knowledge.
AI is enhancing engineering workflows by handling execution, leaving humans to plan, review, and ensure quality output. Humans excel at diagnosing problems from multiple angles, a challenge for AI. Organizational AI strategies in the future will likely include personalized assistants for employees or a singular super-agent with departmental plugins.
Relying on prompts to correct recurring AI agent mistakes is an unreliable, "vibes-based" approach that decays as soon as conversations become complex. To solve this, Y Combinator CEO Garry Tan advocates for "skillification." Instead of letting an agent waste compute attempting to solve deterministic tasks (like historical calendar lookups) in its latent space, this framework forces the AI to execute precise local scripts.
We're hiring an engineer/researcher at a major AI lab or startup to help write for 1M+ subscribers. Curators have been invited to Google I/O and OpenAI DevDay, scouted for Tier 1 VCs, and get early access to unreleased TLDR products. Learn more [26].
Google Photos has added new touch-up tools to its image editor that enable subtle facial enhancements like skin smoothing, blemish removal, eye brightening, and teeth whitening. Users select a face, choose from tools, including heal, smooth, under eyes, irises, teeth, eyebrows, or lips, then adjust effect intensity. The feature is rolling out gradually on Android devices running Android 9.0 or higher with at least 4 GB of RAM.
Incoming Apple CEO John Ternus told employees during an all-hands meeting that the company is entering an especially exciting phase, highlighting AI as a key driver of major future innovation. Current CEO Tim Cook echoed optimism during the leadership transition. Ternus' remarks were notably ambitious and morale-focused, setting high expectations that he will need to back up when Apple unveils new products under his leadership.
Adobe CX Enterprise is an enterprise platform to coordinate AI agents across marketing, content, and customer engagement workflows, introduced at Adobe Summit. Built on its Experience Platform, the system integrates Brand and Engagement Intelligence layers, a multi-agent coordinator, and partnerships with AWS, Anthropic, Google, IBM, Microsoft, Nvidia, and OpenAI. The company also reported a 269% year-over-year surge in AI-driven traffic to US retail sites, as it continues to push further into AI-powered search visibility and updates its GenStudio content platform.
Product managers can move beyond prototype-only tools like Lovable or Bolt by adopting coding agents and learning engineering fundamentals — not to become engineers, but to build real, shippable products. Key lessons include upfront planning with structured PRDs, understanding the tech stack, iterating incrementally, and treating errors as guidance rather than failures. The foundational PM discipline of validating problems before building remains as critical as ever, since lower barriers to coding don't eliminate the need for rigorous thinking about what's worth building and why.
The claim that Jenny Wen “broke” the design process has sparked debate, but critics like Sarah Gibbons argue the process isn't gone—experienced designers have simply internalized and compressed it, while skipping it entirely risks weakening junior talent. The bigger concern is that AI-driven speed could hollow out the workforce (fewer juniors becoming seniors) and strain traditional organizations, pushing a shift toward flatter, hybrid “full-stack” roles and new team models—balancing fast, autonomous “atom” structures for innovation with stable “tomato” systems to preserve rigor, skills development, and long-term resilience.
Picture Instruments' AI Lab 1.1 enables partial AI image editing - opening the door to edit very large images without losing quality. Select your area in a visual workflow and edit only the pixels you need during iterations. Watch tutorials [11] to see how it works or
Add a production-ready AI agent to your product without building the infrastructure yourself. 21st Agents handles the runtime, sandboxing, streaming, tools, and UI - you configure and ship.
AIReel is an all-in-one AI image and video creator that transforms text or images into professional-quality content, making users focus on ideas, not editing.