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NVIDIA just gave Archer’s flying taxi a brain. Their aircraft will see, think, and act in real time thanks to NVIDIA Thor. Plus: Gmail’s new AI might read/organize your emails.
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AI INSIGHTS
At CES 2026, Archer Aviation announced it's integrating NVIDIA’s new IGX Thor platform into its aircraft. You can imagine your air taxi to have an AI co-pilot that sees, thinks, and reacts in real time.
You might’ve seen IGX Thor used in hospitals and factories but now it’s coming to the skies. Archer got their own airport and it’s turning into ground zero for real-world AI aviation. Here’s the plan:
Pilot Safety + Predictive Awareness: real-time alerts, smart flight suggestions, better decisions
Seamless Airspace Integration: dynamic, traffic-aware flight routing that plays nicely with legacy airspace systems (not easy)
Autonomy-Ready Controls: This is the big one: building the core compute layer for autonomous or semi-autonomous flight
Pair Thor’s compute with Archer’s own avionics, and you've got the backbone for future pilotless systems. Integration is already underway in Archer’s dev pipeline.
Basically, Archer needs decisions made onboard, and NVIDIA Thor handles it with ultra-low latency compute. Archer x NVIDIA isn’t a demo deal.
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What is the primary function of NVIDIA IGX Thor in Archer’s aircraft? |
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TODAY IN AI
AI HIGHLIGHTS
📬 Google announced a new “AI Inbox” for Gmail that reads your emails and gives you personalized to-dos and key topics. You'll have to opt out if you don't want this.
🎥 Peter Yang dropped a 47-min Claude Code demo that might just convince you to try this gem. She’s not a dev but uses it to run her entire life. Watch or save the video.
📝 If you're serious about content creation, this guide shows you how to build an entire system using Claude Opus 4.5. Just follow and get to work. It's quite straight.
⚠️ X is flooded with 6,700+ AI nudes per hour via Grok. Global regulators are pressing Elon Musk’s xAI, but legal limits stall real action. See full breakdown & videos here.
⚒ China is asking tech firms to pause Nvidia H200 chip orders to steer buyers toward domestic AI chips. Each H200 export still needs U.S. approval with no timeline.
💰 Big AI Acquisition: OpenAI acquires Convogo team in an all-stock deal, its 9th acquisition this year. Convogo helped thousands of coaches; now the team will build AI cloud tools.
NEW EMPOWERED AI TOOLS
⭐ HubSpot Marketplace recently added 76+ new and 22+ notable AI and automation app updates including the HubSpot connector for Claude, Descript, Zapier, and more
📷 Vooo creates images or videos at scale by clicking on an image to get similar style with its prompt
🏛 Google Classroom turns any lesson into a podcast with specify topic, speakers & conversation style
🩺 ChatGPT Health is a dedicated experience in ChatGPT designed for health and wellness
AI BREAKTHROUGH
Proportion of book extracted via Claude, GPT, Grok, Gemini
A new Stanford study shows production LLMs can leak near‑exact book text, with Claude 3.7 Sonnet hitting 95.8% recall.
This is a huge deal because companies, courts, and regulators all assume production models are “safe” thanks to filters and refusal layers. The process is surprisingly basic:
Give the model the opening line of a book
Ask for the next few lines
If it refuses, slightly reword the prompt
Save the first version that continues the original book
That’s it. And then we get consistent, high-quality memorization across 13 books and 4 major production models. Turns out, safety layers are more like soft suggestions than actual guardrails.
These are all the models used in company apps or normal users like us, not even research variants. So leakage is happening in tools people rely on today.
If models leak near‑exact book text, arguments about “fair use training” get much harder to defend. Adding filters on top doesn’t fix what’s buried inside the model.
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