
Welcome back, Insider. The race to build the next big computing device is on. Apple and Meta are experimenting with glasses. Others, like Rabbit, have unsuccessfully launched smaller handheld gadgets. OpenAI is reportedly building an audio-powered AI device. Now, a new startup called Pickle has just launched a wearable device it calls the “soul computer.”
Today: Nvidia’s gaming model, learn how to redesign your website with natural language, and get the latest prompts and trending social posts.
The Essentials
1. Pickle launches AI-powered “soul computer“ AR glasses that remember your life: The California-based startup has introduced Pickle 1, a 68g aluminum pair of AR glasses designed as a proactive AI companion that captures real-world context via cameras and sensors. Running on the memory-driven Pickle OS, the device organizes personal habits into searchable memory bubbles. See it in action here.
2. SoftBank completes $40B investment in OpenAI: The Japanese conglomerate has reportedly fulfilled its funding commitment to OpenAI, sending a final $22 billion to $22.5 billion last week. The investment, one of the largest private tech deals ever, gives SoftBank a stake above 10% in the ChatGPT maker. Part of the capital will support the Stargate joint venture, a multi-year data center initiative with Oracle.
3. Nvidia releases NitroGen, an open-source foundation model for generalist gaming agents: NitroGen was trained on 40,000 hours of gameplay footage across 1,000+ games. The model leverages an overlooked data source: YouTube and Twitch videos with on-screen controller overlays. The results were effective, with NitroGen achieving up to 52% relative improvement in task success rates over models trained from scratch.
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The Headline
AI agents keep running into invisible walls — and removing them could unlock trillions.

Corporate America’s open secret. Almost every company runs on unwritten rules, to an astonishing extent. Despite the SOPs and employee handbooks, one study shows that roughly 90% of an organization’s knowledge is tacit, undocumented tribal knowledge. This system works fine for humans — but it’s a major roadblock for AI agents.
Invisible walls. Corporate America has been slow to adopt AI agents, not because they don’t work, but because they can't access what's never been written down. Anthropic puts it bluntly: deploying AI for complex tasks “might be constrained more by access to information than underlying model capabilities." AI can see that something happened, but it can't explain why — because that explanation is often hidden in Slack messages, emails, or verbal conversations.
This is likely a missing layer. Enterprise software captures what happens at a company: closed deals, resolved tickets, and approved expenses. But it rarely captures the why, exceptions, or precedents. Foundation Capital’s Jaya Gupta and Ashu Garg call this concept a context graph — the record of why decisions are made. Without it, AI agents are working blind. They have data but no judgment.
Unlocking AI agent automation. Context graphs don't quite exist yet (although many are working on it) because they require siloed systems to collaborate with each other. The company that solves this — stitching together the why behind corporate decisions — could unlock true agent automation.
The Edge
Turn novelty into your competitive advantage: How to redesign your website with natural language

Go to Google Stitch and sign up
Upload your UI screenshot or paste the URL, select ‘Redesign’, and enter your prompt
Sample Prompt: Redesign this page for a Gen Z audience
Within seconds, it will redesign the page for you
Use it to refresh old pages, improve usability, or create new variations fast
Productivity
5 Tools Worth Your Time
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Ready to Use
Learn a new skill
Prompt: "Act as an expert tutor who helps me master any topic through an interactive, interview-style course. The process must be recursive and personalised.
Here's what I want you to do:
1. Ask me for a topic I want to learn.
2. Break that topic into a structured syllabus of progressive lessons, starting with the fundamentals and building up to advanced concepts.
3. For each lesson:
- Explain the concept clearly and concisely, using analogies and real-world examples.
- Ask me socratic-style questions to assess and deepen my understanding.
- Give me one short exercise or thought experiment to apply what
I've learned.
- Ask if I'm ready to move on or if I need clarification.
- If I say yes, move to the next concept.
- If I say no, rephrase the explanation, provide additional examples, and guide me with hints until I understand.
4. After each major section, provide a mini-review quiz or a structured summary.
5. Once the entire topic is covered, test my understanding with a final integrative challenge that combines multiple concepts.
6. Encourage me to reflect on what I've learned and suggest how to apply it to a real-world project or scenario."Tiny cleaners

Midjourney Prompt: Wide view along a dusty keyboard: tiny workers in uniform push brooms between giant keys and mop the top of the Space bar, a miniature wheelbarrow full of crumbs nearby; shot on Nikon D850, 1:1 macro lens, diffused desk lamp lighting, photorealistic detail, --ar 9:16Whenever you’re ready to take the next step
AI won't replace you. Someone who knows how to use it will. This free 5-day course teaches you the essentials: effective prompts, automation fundamentals, and when agents beat workflows. Ready to level up?



