They’ll probably receive most if not all of Iran’s focus now.

I limit the risk and insist on payment upfront.

Location: Brighton, MI, USA Remote: Yes Willing to relocate: Yes

Technologies: Bayesian statistics, econometrics, causal inference, experimental design, machine learning, AI systems, R (expert), Python (expert), SQL (expert), Stan/brms, PyMC, scikit-learn, tidyverse, PostgreSQL/Redshift, AWS, Airflow, Ansible, Terraform

Résumé/CV: https://statwonk.com/about/

That’s good, reducing healthcare costs will increase access and boost the our health.

Agree that AI should replace CEOs. They’re often biased in unhelpful ways that AI isn’t and it costs people wellbeing.

AI makes it easier to catch up. :)

I use AI to shop and it seems easy for an AI to understand when that’s the case (they can do statistics and physics after all).

Sure, I use it for that too. But we’re also talking about most people. Your average Walmart customer is not going to be your average HN reader.

True, though I don’t think they’re too different on that dimension.

I think they'll keep the status quo of quarterly, bc if any announce switching I'd expect their stock value to fall (bc in my mind the decision would transmit more bad potential than positive potential for future earnings). ie- I don't buy that quarterly reporting drives too short-term decision-making (or that it's generally too short).

I built this after noticing how much variation there is in AI output depending on the quality of the prompt. Models matter a lot — but even the best model underperforms when the prompt is vague. Enriching the input is one of the highest-leverage things you can do.

Most prompts are drafted in 10 seconds and sent. They're missing context, constraints, a clear objective, examples. The model fills in the gaps with whatever it wants, which is why the output often feels generic or off.

Prompt Enricher scores your prompt across 5 dimensions (the YIELD framework: Your Objective, Input Context, Expectations & Constraints, Layout of Output, Demonstrations/Examples), then rewrites it with the missing pieces filled in. It also produces 4 variants — Packed, Quality, Concise, and Reliable — so you can match the enriched prompt to your use case.

The "Show Changes" diff view that highlights exactly what was added (green) and removed (red) — so it's immediately clear what enrichment actually did to your prompt.

Does that extra work bring in more revenue? I think that’s the key question.

Companies that do not reduce their workforce might outcompete you.

It might not be about bringing more revenues but retaining market share.

If your barrier to being competitive is a slow, bureaucratic org, restructuring and laying off might actually help long term.

Progress can be reviewed over time, and I'd think that'd take a lot of the risk out.