194 karma · joined July 8, 2017
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.
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
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.
Free to try, 10 runs no card: https://vizpy.vizops.ai/
Source: I was in GDM when character was acquired.
What is very well established is that the british fought a war , literally called the opium war by Western historians themselves with the main objective of keeping their opium distribution into China open after the emperor banned it
Their action was akin to if some majority owner of Purdue pharma invades US and forces US government to "keep the oxy market open" while letting "people make their own decision".
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10960378/
There's even a video abstract!
Nowadays I often pass the pdf through LLMs to get personalize (expand on jargon or contract the verbiage) and then read them. That gives me a better return on time spent.
tl;dr is to not worry about the mathematical details, if it works it works.
You'd need a scatter plot of pay vs experience in this cohort to really say that the demands are unreasonable.
We dont know how much buearocracy/middle mgmt there is in these companies, and how much they make, and how much value they contribute, vs extract.
I dont see how any lay person can pass judgement about whether the strike is fair or not without access to a lot more facts than just ceo pay or median pay.
Not saying that the strike is justified, just that the over confident tone that its not is unwarranted.
Pro+ is more expensive at $50/mo but it allows for more simplified background execution. if you are only just getting started and don't expect to be training for multiple months, then colab or other cloud-notebook providers are really great to start.
Good day :)