Welcome, humans.
So, a robot on Mars just made its own decisions about where to drive, and nobody on Earth told it how to get there.
NASA's Perseverance rover completed the first-ever autonomous drives planned entirely by generative AI. Here’s the problem it solved: Mars is 140 million miles away, which means a 20-minute delay for any instruction sent from Earth. So JPL partnered with Anthropic to let Claude analyze orbital imagery, identify safe terrain (bedrock good, sand ripples bad), and plot its own course through Jezero Crater.
As a result, Perseverance covered nearly 1,500 feet across Martian terrain without a single human-planned waypoint. The Claude-piloted rover looked at the landscape, figured out where to go, and just... went.
Meanwhile, my Roomba still can't avoid the same corner of my couch. That’s why he’s getting donated to Goodwill, and why I’m not surprised iRobot’s filing for bankruptcy.
Here's what you need to know about AI today:
Apple launched Xcode 26.3 with full Claude integration for autonomous coding.
NVIDIA might land on a $20B investment in OpenAI's latest funding round.
Software stocks plunged on AI disruption fears.
Microsoft announced Publisher Content Marketplace for AI content licensing.
ICYMI: In this week's podcast episode, we sat down with three Google Labs PMs (Jaclyn Konzelmann, Thomas Iljic, and Megan Li) who each gave us exclusive demos of three tools available to try right now at labs.google.
Click to watch on YouTube!
Why watch: You'll learn how to use Gemini Gems to chain together text, image, video, and web search into custom workflows that actually save you time—plus hear the PMs explain what next for the tools (think: more direct Gmail integrations, world-building for video, and AI that remembers context across your entire project).
Watch/ Listen: YouTube | Spotify | Apple Podcasts
Thanks to MIT xPRO for sponsoring this episode—go check out their course Deploying AI for Strategic Impact.
Why Apple (and Anthropic) might be the real winners of the AI disruption era.
While software stocks were melting down yesterday, Apple quietly dropped something that might explain the chaos.
Xcode 26.3 now ships with full Claude Agent SDK integration, giving millions of iOS developers an autonomous AI copilot. The killer feature? Visual verification. Claude can capture Xcode Previews, see what the interface looks like, identify issues, and fix them on its own. TechCrunch has the full breakdown here.
But this isn't just another coding tool story. It's about who controls the interface layer.
Here's what triggered the "SaaSpocalypse": Anthropic launched new legal plugins that handle document review, compliance tracking, and NDA triage. The reaction? A $285 billion rout across software stocks. Thomson Reuters down 16%. RELX down 15%. Jefferies traders called it "get me out" style selling.
Now here’s the counter-narrative: Apple might be perfectly positioned to ride this wave.
Dan Shipper of Every put it well: “Apple is going to be a big winner in AI. Native apps are naturally easier to vibe code. Apple ecosystem connects to extremely important data like health and messaging. Everyone's buying a Mac mini for their agent... the TAM for their hardware is going up 100x.”
While the big labs competed on model capabilities, Apple slowly built the integration layer required to make this work on an iPhone. Their Siri 2.0 overhaul (coming this spring) will understand your personal context, access your messages and health data, and take actions across apps on your behalf. The Google-Gemini partnership gives them the model backbone. All Apple need do is provide the UX and privacy guarantees.
Our take: If Anthropic plugins can replace entire software categories, the value migrates to whoever controls where those plugins live. Right now, that's Apple and Anthropic sitting in a tree…
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In this webinar, you'll learn about:
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How customers like Engine and Asymbl are already using Slackbot.
Prompt Tip of the Day
AI educator Elvis Saravia shared a killer workflow for “agentic image generation” in Claude Code:
Install the image generator plugin from DAIR Academy.
Give Claude a task: “Create an infographic of this blog post.”
Claude fetches the content, extracts key concepts, generates the image.
Use this Playground plugin to annotate what needs improvement.
Feed the annotations back to Claude, which refines the image.
The loop = generate → annotate → refine. One prompt, and the agent handles the entire workflow. Check out the DAIR Academy for more content like this; Elvis is awesome!
FROM OUR PARTNERS
Editor’s Pick: Lightfield
Lightfield is an AI-native CRM that updates itself after every meeting you have, tells you what to do next, and does your sales admin for you.
Treats to Try
Qwen3-Coder-Next is an open-source coding model you can run locally on 46GB RAM that works with Claude Code, Cursor, and Cline while scoring >70% on SWE-Bench Verified (blog, tech report)—free and open-source.
GLM-OCR extracts text, tables, formulas, and structured data from documents—upload a scanned invoice, handwritten note, or complex PDF and get Markdown or JSON output—open source (free) or paid API at $0.03/million tokens.
ACE-Step-v1.5 is basically an open “Suno” music generator: it generates a full song in under 2 seconds on A100, runs on ~4GB VRAM locally, supports LoRA fine-tuning, and beats Suno on eval metrics (MIT license).
Kiln.bot orchestrates Claude Code instances from GitHub projects, polling issues and running /commands automatically.
Microsoft launched Publisher Content Marketplace, letting publishers license premium content to AI systems.
Biomni Lab connects hundreds of biological databases and research tools so you can ask research questions and agents gather data, run analyses, and design experiments (raised $13.5M)—free to try.
Around the Horn
MirrorMe claims the world's fastest humanoid robot at 10 m/s (22.4 mph), though skeptics note it's on a treadmill with a safety tether. Also, the Jack Sparrow run is... a choice.
NVIDIA is nearing a deal to invest $20B (final offer?) in OpenAI's funding round.
Meta officially tied employee performance reviews to AI usage.
Carina Hong’s Axiom Math just quadrupled their valuation.
Waymo raised $16B and will expand its self-driving car system to 20+ more cities in 2026, including Tokyo and London.
Intel announced plans to start making GPUs, challenging NVIDIA's dominance.
A16z released a new survey that says OpenAI leads enterprise AI adoption at 78%, but Anthropic jumped 25% to reach 44% penetration among Global 2000 companies, shrinking OpenAI's market share to 56%.
FROM OUR PARTNERS
Join Snyk's Annual Fetch the Flag on February 12th @ 12pm EST
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Tackle 15 challenges including web and binary exploitation, OSINT, and more!
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Compete to win: the top three teams and the top three individual players will take home Rokid AR Joy 2 Glasses.
Midweek Wisdom
Jim Fan (NVIDIA's robotics lead) dropped a fascinating essay on X called “The Second Pretraining Paradigm”, where he predicts 2026 will be the year Large World Models lay real foundations for robotics.
Pragmatic Engineer measured which AI coding tools actually work. Results vary wildly by task type.
Big Technology breaks down the new data showing OpenAI's market lead is contracting as Claude and Gemini gain ground.
Forbes interviewed Sam Altman, who revealed his succession plan: hand OpenAI leadership to an AI model when it's capable.
Nick Dobos on X: “If you're writing AGENTS.md for a company repo, you're effectively prompting $100,000+ in compute. 100-person eng team at $200/mo AI coding agent = $240K/year run on your prompt.” So he says, soon, maintaining AGENTS.md files will be someone's full-time job.
A Cat’s Commentary
 | That’s all for now.
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