u/EliteRaids

Vivian Balakrishnan vibe coded an AI "second brain for a diplomat" and is speaking about it at AI Engineer Singapore
▲ 160 r/singapore

Vivian Balakrishnan vibe coded an AI "second brain for a diplomat" and is speaking about it at AI Engineer Singapore

Here's the announcement: https://x.com/i/status/2053366862248026480

He will be keynoting AI Engineer Singapore with Nanoclaw creator Gavriel Cohen.

He will share his experience experimenting with open-source AI tools and building a “second brain” workflow, alongside broader reflections on how AI may reshape global dynamics, and the way people work, think, and manage information.

gist.github.com
u/EliteRaids — 12 days ago

What are some unconventional date ideas in 2026 that aren't just dinner and drinks?

There's always walk/cycling in the park, but nowadays it's so crowded and gets boring after a while.

I used to like going to The Projector and ice skating at JCube but both of those aren't possible anymore.

reddit.com
u/EliteRaids — 19 days ago

It's a lot easier today to build great products without being technical. But still, coding agents aren't at a level where they can produce maintainable code for your future engineers by default. Sharing some learnings which can make your life easier!

At my startup, I pushed our product team to fully embrace vibe coding with Claude Code and Codex, while enforcing guardrails and code quality standards.

The key insight we gained was that a repository should be treated less like a pile of code that can be executed, and more like an execution environment for agents. Therefore, how the codebase is set up is as, if not more, important than the coding agent itself.

Here's what worked for us and what we learnt: https://www.analogue.computer/blog/harness-engineering-typescript

reddit.com
u/EliteRaids — 20 days ago

I pushed our product team to fully embrace vibe coding with Claude Code and Codex, while enforcing guardrails and code quality standards.

The key insight we gained was that a repository should be treated less like a pile of code that can be executed, and more like an execution environment for agents. Therefore, how the codebase is set up is as, if not more, important than the coding agent itself.

The output of your coding agent will depend heavily on the affordances of the codebase, because the environment dictates the constraints in which these agents operate.

https://www.analogue.computer/blog/harness-engineering-typescript

analogue.computer
u/EliteRaids — 20 days ago
▲ 88 r/Information_Security+2 crossposts

TL;DR: If a large model finds a 0-day with 90% probability, and a small model with 50% probability, but the small model costs 10x less, it is better to use the small model.

We compared the cost and recall of various models in finding real, recent zero-days and found that for most applications, smaller models run repeatedly can significantly outperform larger frontier models on cost-to-recall.

Disclaimer: I'm involved with Hacktron, the company that produced this research. This is a factual presentation of our benchmarks, which we hope the community can use to make informed decisions about models like Mythos.

u/EliteRaids — 21 days ago