My daughter suffers from Autism Level 3 and I worked with my daughter's speech therapist and OT to build tejutalks.com which helps nonverbal children communicate with the help of AI.
It's being used by around 10 kids for the last 3 months and it's really helped some of them to demonstrate that they know a lot more than they can say.
It uses Openai models underneath, although initially I started with local inference using MLX. If anyone is curious feel free to reach out.
Hi, thanks for the writeup, I wonder for the auth problem what you think about rego and OPA type solutions and their place in world in comparison to generated guards?
> ... the person next to him is probably also a combatant
Absolutely, they could even be future combatants even if they are not now. That's why killing schoolgirls in Iran, reporters in Lebanon, etc. is justified, they are all potential terrorists. It definitely can not be proven otherwise that they are not. Why take a chance? /s
Building VizPy, a prompt optimizer we've been working on for a while now.
The problem it's solving is one most people building with LLMs know well. Your prompt fails on some inputs, you don't really know why, and you end up just tweaking and re-running until something sticks. We kept hitting this ourselves and it felt like there had to be a better way than guessing.
What we figured out after a lot of research: prompt failures almost always follow a pattern. The model isn't failing randomly, it's consistently failing on a particular type of input or reasoning step. VizPy finds that pattern, distills it into a plain English rule you can actually read, and then rewrites your prompt around it. You also get the rule itself so you can review it, tweak it, or just drop it into your existing prompt directly. DSPy-compatible, no pipeline rewrite needed.
We have compared it extensively against baselines such as GEPA on benchmarks like BBH, HotPotQA, GPQA Diamond, and GDPR-Bench and VizPy wins on all of them. We'll have more benchmarks on cyber-security and chip-design coming out soon.
Anthropic released a C compiler this week that was built autonomously. We mined the entire repo for clues to reproduce the scaffolding they used and open sourced it.
+1 to this, my mom died because of COVID in India 1 months after she left US after visiting me, and I still feel guilty that I didnt insist on getting her the vaccine before she left for India, and then at the time of her death India was locked down so no flights and I wasn't even next to her. It's been 4 years but every so often I think about this. I blame myself less now after some therapy, but If you didn't try all that you could you'd probably feel guilty like me.
It's being used by around 10 kids for the last 3 months and it's really helped some of them to demonstrate that they know a lot more than they can say.
It uses Openai models underneath, although initially I started with local inference using MLX. If anyone is curious feel free to reach out.