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Effective product feedback, like comedy, relies on immediate responses from real people.
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...and Attackers are using it to scale fraud, scraping, and account takeover campaigns.
Microsoft looks likely to debut its unified Copilot app at Build 2026. Leaked screenshots show a GitHub Copilot tab, a Cowork tab, and a tab for Scout, an always-on AI agent. The company is trying to boost weak adoption by folding scattered tools into a single home. The integration of Teams hints that Scout may be able to run remotely.
MiniMax M3 is an open weights model that achieves frontier-level performance on coding and agentic work. The model supports image and video input and can operate a desktop computer. It uses a new attention architecture that enables context scaling and can support ultra-long context windows of up to 1 million tokens. The model is available through MiniMax Code, the Token Plan, and MiniMax's API services.
Nvidia plans to unveil its N1X laptop chip at Computex 2026, featuring 20 ARM cores and an RTX 5070 equivalent GPU, promising improved VRAM allocation for AI applications. The company will also present its "Vera Rubin" AI platform for datacenters, aiming to strengthen its position in the AI market. Nvidia's focus on Physical and Agentic AI will highlight advancements in autonomous machines and robotics, while gaming announcements seem minimal.
Claude Opus 4.8, released only six weeks after Opus 4.7, comes with a 244-page system card. While the updates are incremental, there is still a lot to talk about. Its capabilities are still well behind Mythos. This post looks at the system card, what's different between the two versions, and what this reveals about Mythos.
In reinforcement learning with LLMs, ensuring the model operates on the exact tokens sampled is crucial. Re-tokenizing can lead to drift and unreliable gradients. The solution involves never re-encoding decoded tokens and maintaining a buffer for sampled tokens to avoid drift and maintain accurate loss computation. This approach depends on a prefix-preserving chat template property, which most modern templates satisfy, ensuring reliable reinforcement learning loops without redundant re-rendering.
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Your AI agent is live in prod making decisions, and you deserve to know what it's up to. AgentControl [12] shows you everything agents are doing, blocks bad behavior, and steers responses in real time. It lets you experiment and create variations in seconds, so you iterate
pi-dynamic-workflows is a Pi extension that adds a workflow tool. It allows assistants to write an economical JavaScript script that fans out work across many isolated subagents, then synthesizes the results. Subagents can read files, run shell commands, and call structured output compactly like a normal Pi turn. The tool is great for codebase audits, multi-perspective review, large refactors, and fan-out research.
Bonsai Image 4B is a family of compact image-generation models that can run high-quality diffusion inference on local hardware. The 1-bit variant is for applications where memory pressure, bandwidth, and deployment footprint are the primary restraints. The ternary variant has more representational flexibility, giving it improved visual quality and prompt fidelity while remaining extremely compact. The models can run directly on an iPhone.
xAI's grok-build-0.1 is now in public beta via the API, designed for agentic coding tasks like web development and debugging. The model processes over 100 tokens/second, costing $1 per million tokens in and $2 per million out. It integrates well with platforms like Grok Build, Cursor, and OpenClaw.
ECC is a comprehensive system for multi-harness agent workflows, featuring skills, instincts, memory optimization, and security scanning.
Enterprise AI agents are struggling due to permissioning issues rather than model performance. Workday addresses this by using its system of record as the governance layer, integrating with Google's Gemini, and emphasizing agent accuracy. This setup ensures agents operate within defined user permissions, crucial for regulated sectors like HR and finance.
Cognition's Ido Pesok shares lessons from building autonomous end-to-end testing into Devin, noting that for the first time, more Devin sessions are now triggered asynchronously than interactively, making verified-before-merge results a hard requirement rather than a nicety. Devin's harness gained computer-use tools roughly six months ago, and the breakthrough came when engineers started running 10-20 Devins in parallel, each with its own dev server, something impossible on a single laptop.
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 [20].
Inherent, a London-based AI lab, is building a platform called Faraday aimed at figuring out which questions are worth asking.
OpenAI Robotics is looking for full-stack hardware, ops, systems, and ML engineers to help it program and manufacture robots.
NotebookLM's upcoming features include Personal Preferences, Connectors, and Canvas.
OpenAI published a comprehensive guide on May 28 for conducting trustworthy third-party evaluations of frontier AI models like GPT-5.5.
NVIDIA's MCG Toolkit automates AI model documentation, creating comprehensive model cards in Model Card++ format rapidly.
Figma Make now lets designers work directly in their production codebase, enabling visual edits, annotations, and Git-based workflows without leaving Figma. Launching in limited beta, the new capabilities — including direct editing, annotations, and PR creation — won't consume credits during the beta period. The update also enables two-way collaboration between Make and the Figma canvas, closing the loop between design and code.
YouTube will automatically detect and label videos containing significant photorealistic AI-generated content starting in May, moving beyond its current voluntary creator disclosure system. AI labels will appear more prominently below videos or as overlays on all AI content regardless of topic, rather than being hidden in descriptions. The labels are informational only and will not affect monetization or algorithmic recommendations. Permanent labeling is required for content made with YouTube's AI tools or verified by C2PA metadata.
Artist KC Green has reached a settlement with AI startup Artisan after accusing the company of misusing his famous “This is fine” meme in ads for its AI assistant Ava. Artisan agreed to remove the ads in New York and San Francisco that featured a version of Green's character, and Green took down his original social media post criticizing the campaign.
AI image editing is making photo manipulation more accessible by letting users describe changes in plain language instead of learning complex editing tools. However, the process often becomes an iterative negotiation, as AI can misinterpret instructions, introduce unwanted alterations, and gradually degrade image quality through repeated edits, shifting the challenge from mastering software to effectively guiding the machine.
Ghost buttons significantly reduce website conversions due to their poor visibility and weak call-to-action design. These transparent or outlined buttons fail to grab users' attention compared to solid, contrasting buttons. This post explains how replacing ghost buttons with more prominent designs can dramatically improve conversion rates.
Stripe's developer-first UX is the core driver behind the $1.9 trillion in total payment volume processed in 2025 — a 34% year-over-year increase. The company built its adoption advantage on four pillars: documentation designed around user tasks, fast API integration with pre-built flows, a clean dashboard, and robust error handling that makes failures diagnosable and safe to retry. Developers evaluate risk as much as features. Stripe's design reduces perceived risk at every stage.
Tinker is a free mobile app that allows users to create videos, images, 3D models, and other content using AI tools.
EZ-Tree is a procedural tree generator that allows you to create realistic 3D tree models with ease.
This AI video generator creates professional social media content by blending digital app interfaces with real-world footage.
The Young Vic's new identity redefines “youth” as energy, movement, and vitality rather than trendiness, replacing its older graffiti-inspired look with a dynamic, motion-blurred logo that feels alive and forward-moving. The visual system balances the theatre's world-class reputation with its rebellious spirit through warm, light-inspired colors, custom typography, and design elements that evoke closeness, momentum, and the immersive connection between performers and audiences.
A museum brand refresh was built around the idea of “Where Art Meets Life,” emphasizing the institution's role as both a cultural destination and a community gathering place. The new identity combines archival elements, a warm and accessible voice, vibrant colors inspired by art and the local environment, and welcoming photography to reflect an experience where art feels personal, inclusive, and deeply connected to everyday life.
AI tools can help identify accessibility issues and inclusivity gaps in digital design, catching problems that might otherwise go unnoticed. However, AI cannot replace human-centered design methods or truly represent all diverse backgrounds and experiences. The best approach combines AI-powered auditing with traditional inclusive design practices that involve real people from relevant communities in the design process.
Professional designers who used Canva for quick projects while maintaining Adobe workflows are now consolidating back to Adobe Express, as it has significantly improved and bridges seamlessly with their existing Creative Cloud tools.
Raja Nandepu is an Indian environment concept artist and illustrator who creates atmospheric digital art, focusing on mood, light, and storytelling through expressive brushwork and strong color contrasts.
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So many founders do most of the legwork but never reach the finish line. You know the list, you've nailed the messaging, but you can't find the four hours it takes to build the sequences, find the contacts, and send them.
If AI made your main feature free, what would be left of your company? Apps that just wrap a model are easy to replace. The ones that last own a number their customer cares about and keep making it better. Like spreadsheets, cheaper AI will create more work, not less. Labs will build a generic support agent that handles 30 to 40 percent of tickets, but you win above that by knowing the messy details labs won't bother learning. Meta is proof that advertisers pay for sales, not for the dashboard.
The platforms that win the next era will look far more like hyperscalers than the SaaS platforms of the past. Companies that centralize important data are in the running to be a platform in the AI era. The last generation of winners are committing the cardinal sin of starting with the platform before they've built the killer app. Doing this almost guarantees they will get the abstractions and interfaces wrong because they're optimizing them against a usage pattern that doesn't exist yet.
The best B2B software companies of the next decade will build distribution from day 0. AI's development capabilities mean that the durable advantage has moved to audience and the distribution built to reach that audience. Markets are being won earlier and more convincingly than ever. A business' go-to-market is what builds their moat and dictates their growth trajectory.
Counting tokens measures effort, not results, just like counting hours worked. Companies are done experimenting with AI for free and now want proof it pays off. The first phase was cheap because labs ate the cost. Now, they charge real money, and CFOs are asking hard questions at renewal. Smart buyers use cheaper models for easy work and save the expensive ones for tasks tied to revenue. AI usage will keep growing fast, so the real question is who actually makes money from it.
Your best channel might already be getting worse. Treat marketing like investing. Every channel works for a while, then slowly stops paying off as you spend more. The real question isn't, "Is this channel working?" It's, "Is the next dollar still worth spending here?" The biggest wins are usually small and don't scale, like one newsletter sponsorship that converts at 8x. An "influencer marketing" hire is really three jobs in one: outreach, creative, and budget decisions.
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The best product won't survive without distribution. Get an unfair advantage with Kinetik [10]! It's a messenger-first AI agent that connects to your Instagram / TikTok / X / YouTube, analyzes your competition, and helps you grow -- pulling market intel, drafting content, and finding influencers to partner with. Get free credits [10] to start!
Headroom compresses everything an agent reads before it reaches the model so that users receive the same answers at a fraction of the tokens. It is suitable for running AI coding agents and working across multiple agents that have shared memory. Reverse compression is always achievable via CCR. Headroom doesn't work in sandboxed environments where local processes can't run.
Deliberate records every option an agent considers, rejects, and executes and provides an audit trail that users can export. It is built for teams running LangGraph or OpenAI Agents pipelines in production. Deliberate wraps agent loops and writes a complete record that compliance teams can sign off on.
There's a strange wedge hiding here, building the hard tasks labs use to test their agents. A convincing fake of SAP, realistic enough to evaluate an agent inside, was rumored at $500,000, and METR says it can barely find long-horizon tasks good enough to use, with decent ones at $20,000 each. Cheap labeling is everywhere, but captured expert work that's realistic enough to fool an agent and clean enough to grade is scarce, so the eval bottleneck is domain realism, not model access.
Eleanor Dorfman, Anthropic's Head of Industries, recently walked through the company's GTM stack at SaaStr AI Annual 2026. The company uses the same six tools that many other leading B2B + AI companies use, as well as Jira, Intercom Fin, Snowflake, BigQuery, and G Suite. This article details what the company does with each part of its stack.
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Ads get ignored on social media but not in TLDR! Reach developers, PMs, marketers, founders and other tech leaders where they actually