Good morning, { AI enthusiasts }. xAI just pulled off considered one of the boldest moves in tech with its SpaceX merger. But behind the scenes, the individuals who helped construct the corporate keep walking out the door.
The departure of Tony Wu and Jimmy Ba now makes five co-founders gone in under a 12 months — a pace of turnover that is raising questions on what’s happening inside Musk’s AI operation because it scales into orbit.
In today’s AI rundown:
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xAI’s cofounder exodus continues
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Ex-GitHub CEO’s startup lands $60M
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Improve Claude Code with “Insights” feature
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Harvard finds AI tools expand workloads
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4 recent AI tools, community workflows, and more
LATEST DEVELOPMENTS
XAI
Image source: Tony Wu (@Yuhu_ai_ on X)
The Rundown: xAI co-founders, Tony Wu and Jimmy Ba, just announced their departures from Elon Musk’s AI startup, making them the fourth and fifth founding members to walk away from the corporate, coming right after its SpaceX mega-merger.
The small print:
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Wu posted on X that it’s “time for my next chapter”, saying a “small team armed with AIs can move mountains and redefine what’s possible”.
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Wu led Grok’s reasoning efforts and reported on to Musk, joining xAI from Google in 2023, with no reason given for his departure.
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Ba announced his departure late Tuesday, saying that 2026 shall be the “busiest and most consequential 12 months for the longer term of our species.”
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Musk had reportedly “grown frustrated” with delays to recent Grok models in recent weeks, with its anticipated 4.20 update still awaiting release.
Why it matters: xAI has a SpaceX merger in motion, accelerating model competition, deepfake blowback, and now a wave of senior exits is quite a lot of fires for a startup whose ambitions just jumped to space-based data centers. If there may be anyone used to juggling chaotic situations, it’s Elon — but this leadership exodus is starting to lift questions.
TOGETHER WITH LAMBDA
The Rundown: AI modified meaningfully in 2025, not only in research, but in production. Lambda’s 2025 AI wrapped breaks down the shifts that defined the 12 months, from reasoning models and bigger context windows to multimodal capabilities, open-source viability, and inference-first workloads.
Key shifts covered:
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Reasoning, long-context, and multimodal models
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Open-source and MoE-driven efficiency gains
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Inference overtaking training in production
ENTIRE
Image source: Entire
The Rundown: Ex-GitHub CEO Thomas Dohmke raised a record $60M seed round for Entire, an open-source developer platform designed to trace and manage AI-generated code that’s increasingly being shipped without humans reading it themselves.
The small print:
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Dohmke left Microsoft-owned GitHub last August after 4 years, saying the dev tools he built weren’t made for a world where agents write the code.
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Entire’s first release is Checkpoints, which logs AI agent actions like prompts and decisions while coding, so devs can higher audit the outputs.
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The tool works with each Claude Code and Gemini CLI, with OpenAI’s Codex and GitHub support coming soon.
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The $60M seed round is the most important ever for a dev tools startup, putting the corporate’s initial valuation at $300M at launch.
Why it matters: Dohmke helped lead the platform where a lot of the world’s code lives, and him now constructing the agentic tooling layer is a powerful signal of where the industry is heading. As AI generates more code than humans can review, helping devs trust and manage the output could possibly be just as essential because the agents themselves.
AI TRAINING
The Rundown: On this guide, you’ll learn how one can use the Claude Code’s “insights” feature to enhance your coding habits. This hidden, built-in report gives you feedback directly from Claude Code, and can even construct you custom skills and agent instructions.
Step-by-step:
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Open a brand new terminal session. Run the command
claude /insights. -
Claude should begin working in your insights report. When it’s done, it will provide you with a link to a file named
report.html. Copy it into an empty folder. -
Open your code editor (we use Cursor). Start the webpage with
cmd + shift + pand find the “Open Live Server” tool. -
You’ll see the report outlining what worked, what didn’t, and how one can improve. Use the “Existing CC Features to Try” section for brand new project instructions.
Pro tip: It’s also possible to give the HTML to Claude/ChatGPT and have the assistant run it.
PRESENTED BY GLEAN
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AI RESEARCH
Image source: Lovart / The Rundown
The Rundown: A brand new Harvard Business Review research found that AI tools at a U.S. tech company didn’t lighten worker workloads over 8 months, but actually grew them, with employees taking over broader tasks, logging more hours, and multitasking more.
The small print:
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The study tracked ~200 employees who adopted AI on their very own, observing work habits and conducting 40+ in-depth interviews over eight months.
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Employees utilizing AI expanded well beyond their roles, with the tech making unfamiliar work feel doable.
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The study also noted AI blurring lines between work and rest, with employees firing off prompts after hours or during breaks.
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Engineers also reported spending more time reviewing and training colleagues on AI-assisted code, with “vibe-coding” help requests piling up.
Why it matters: AI was speculated to free employees up, not quietly pile more on their plates — but that is exactly what Harvard found happening. The tech’s productivity gains are real, but so is the tradeoff of broader roles, blurred boundaries, and a brand new work pace that’s changing more quickly than many employees are likely ready for.
QUICK HITS
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🤖 Oz from Warp – Launch a whole lot of cloud agents in minutes, from Warp, API, or integrations. Try Oz today & get 1k extra credits on Construct*
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🎨 Qwen-Image-2.0 – Alibaba’s unified image generation and editing model
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🐦⬛ Raven-1 – Tavus’ real-time emotional perception model for AI conversations
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🌼 Orchids 1.0 – AI app builder for any stack with BYO model subscriptions
Isomorphic Labs unveiled IsoDDE, a drug design engine that greater than doubles AlphaFold 3 on benchmarks and might spot drug targets from a protein’s genetic code.
Alibaba’s Qwen team released Qwen-Image-2.0, a brand new unified image generation and editing model with upgraded text rendering, realism, and speed.
Anthropic safeguards research lead Mrinank Sharma resigned, writing in a farewell letter that the corporate “always faces pressures to put aside what matters most”.
OpenAI is reportedly dropping the “io” branding for its upcoming AI hardware device after a trademark lawsuit from audio startup iyO.
Runway raised $315M in Series E funding at a $5.3B valuation, with backing from Nvidia, Adobe, and AMD to pre-train its next generation of world simulation models.
COMMUNITY
Every newsletter, we showcase how a reader is using AI to work smarter, save time, or make life easier.
Today’s workflow comes from reader Devin P. in Talladega, AL:
“I’m a blind person, so I exploit screen readers to make use of computers and phones. Regardless that the Android apps for quite a lot of AI apps could possibly be more accessible to me, the CLI coding packages, like Codex and Gemini CLI, are pretty nice. I first used Gemini to make Termux, a Linux Terminal app for Android, more accessible, leading to Talking Termux.
I then had AI arrange Emacs with a speech system called Emacspeak, coping with Termux’s differences to Linux, and the shortage of a TCLX package. In spite of everything that, I desired to have some fun, so I had Codex create ElMUD, a approach to play some online text-based games, including sounds for a few of them.”
How do you employ AI? Tell us here.
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Read our last AI newsletter: ByteDance stuns the AI video world
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Read our last Tech newsletter: Musk’s ‘self-growing’ Moon city
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Read our last Robotics newsletter: Uber to launch robotaxis in 15 cities
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Today’s AI tool guide: Improve Claude Code with the “Insights” feature
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RSVP to our workshop today @ 2PM EST: Agentic Workflows Bootcamp pt. 1
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