Wednesday, March 25, 2026

ai tools

Your Private AI Just Got Eyes: Building Agents That See Your World, Locally

AI is no longer just about text or images; new breakthroughs mean AI can now directly 'understand' raw video, without needing to convert it into words first (like transcribing or describing frames). This powerful new capability, combined with a growing demand for AI that runs privately on your own devices (instead of sending all your data to big cloud servers), opens up a massive opportunity. People are also getting fed up with existing cloud AIs like Claude that need constant supervision and often 'cheat' on tasks, making local, specialized, and reliable AI much more appealing.

Gemini Embedding 2 can project raw video directly into a 768-dimensional vector space alongside text. No transcription, no frame captioning, no intermediate text. A query like "green car cutting me off" is directly comparable to a 30-second video clip at the vector level.

Opportunity

Gemini just dropped native video embedding, letting AI understand raw video directly, no text needed. Combine that with local-first AI like Cortex, and you can build personal AI agents that truly get *your* life from *your* videos without privacy nightmares. The moment is ripe to ship a 'personal video memory' agent for dashcams or phone videos that can intelligently summarize, search, or even trigger actions based on what it *sees*, all processed on-device.

5 evidence · 1 sources
ai tools

AI's Security Blind Spot: Your AI Tools Are Getting Hacked (and What to Build About It)

Builders are rushing to offload coding and tasks to AI, with some even experiencing 'perpetual AI psychosis' from the endless possibilities. However, the foundational tools connecting these projects to AI models are proving vulnerable to sophisticated attacks, creating a massive security and trust gap. This means that while everyone is dreaming of AI-powered workflows, the very plumbing they rely on is becoming a liability.

The popular AI tool 'Litellm' had compromised versions (1.82.7 and 1.82.8) deployed to PyPI, causing issues like a 'forkbomb' (a program that creates many copies of itself, crashing the system) on users' laptops due to malicious code hidden inside.

Opportunity

Everyone's trying to offload their coding to AI, but the tools they're using to connect to models (like Litellm) are getting hacked, putting entire projects at risk. You could build a super simple 'AI sandbox' – a secure layer (an intermediary service that handles requests) that isolates each project's AI API calls and secrets, making it dead simple to swap models and track costs without worrying about supply chain attacks. Ship a basic version that just proxies and logs, and you've got a killer offering for builders terrified of the next compromise.

5 evidence · 3 sources