Johnny Hung

so last year at a @agihouse_org @GeminiApp hackathon, we came in second in the grand prize but its now 3+ months later and the team has not granted the credits. are other hackers having this hard time claiming their credits/prizes? i have never seen such bad support!

Your AI can't talk to my AI securely. That's broken. TrustMesh: encrypted vaults + trust networks + federated agents. Each person owns their pod. Agents share only what trust allows. Demo: 3 family members, 3 pods, 1 trip. @Tiny_Fish browses real Michelin restaurants. Diet changes propagate instantly across the federation. No central DB. No shared keys. Just trust. #TinyFishAccelerator #BuildInPublic

I like @claudeai’s code, but it has too many runaway shell instances that don’t fully show up after running for a while. Later, you realize they’re just consuming memory and CPU cycles.

RSVP: luma.com/2guf9jpe

We are hosting our first event with @figma and could not be more hyped. From MCP to Agent Mesh: Building Proactive Agents You Can Trust. April 1st at Figma HQ. At @trymightyai we are building Citadel, multimodal runtime security for AI agents. We brought together builders from Figma, Warp, XBOW, and Cognition (Devin) to get into what it actually takes to go from MCP to production securely. Lightning talks. Panel. Drinks. Come through. Link below

Will be weird for @delve this coming week at RSA

Appreciate the opportunity to be part of this with @vercel. Let's gooooo!!! But real talk on why this matters to me. The current AI security stack was built for a world where humans review everything. That world is already gone. AI workflows are autonomous, multi-model, multimodal, and moving at a speed where human-in-the-loop for every security decision is a bottleneck, not a safeguard. The future of AI-native security needs to be smart, deterministic, fast, accurate, and adaptable. No waiting on a human to flag a malicious PDF. No manual policy updates every time a new attack vector drops. The protection layer itself has to think at machine speed. That singular obsession is why we built @trymightyai around one line of integration to protect against multimodal fraud at runtime. Text, images, PDFs, audio. Inputs and outputs. One line. That's it. We're not building security that keeps up with AI. We're building security that was born for it. Excited to push the ceiling further with the @vercel team and this cohort. The best is ahead.

@MunamWasi Black mirror robot dogs?

@paulg It’s legal to drink in the states now

It's Y Combinator's 21st birthday today.

@MRadhuber @vercel Thank you very much ser

@masterfung @vercel let’s gooo 👏

Super excited & honored to be part of @vercel AI Accelerator. More to come.

Claude login is down

Who is also grinding on a Sunday?

@bmsquantum Greetings from San Francisco

@feelzyou Greetings from San Francisco. Founder. Building. Shipping. Changing. Stopping multimodal prompt injections in 1 line of code.

@brettcalhounn What are you guys looking for? We are the first to build the multimodal protection layer in one line of code. 10-100x faster than sota models in latency and far more accurate

We have capital that needs deployed. Who’s building the next big thing?

we are building @mightyai_ to stop multimodal attacks in 1 line code, 10 to 100x faster in latency than SOTA Models and exceeding them in accuracy. We are the first in the industry to release and would love to use this 100k to build out the next gen multimodal red team engine. also love a kit to test too (can try to integrate our toolings to see how it hold up against multimodal prompt injections)

If you want $100k to work on your project, comment your idea below and I’ll help you land this. I’ll be extra energized to help you land it if you’re building an AI agent that can run on @openhome Shoutout @menemazarakis 👌

@hananyss @buildonbase Building in the intersection of ai x security x robotics

In San Francisco for the month of March and so excited to be back! 🌉 I’ll be hosting intimate dinners with AI builders, researchers, and VCs, and recruiting robotics teams for Base Batches, a robotics track we’re running with @buildonbase. Would love to meet: - University labs working on data quality and model training methods - AI & robotics labs thinking about data innovation for their models - Teams in innovating in the AI infrastructure stack: compute, memory, chips - Individuals passionate about AI Safety If you’re working on the above or just thinking seriously about where this is all heading - let’s grab coffee :)

Is GPT 5.3 Instant on Cerebras?