holy fuck, a hair dryer at a Paris airport broke Polymarket weather markets & made someone $34,000 richer
- polymarket was settling Paris temperature bets on a single Météo France sensor sitting near the Charles de Gaulle runway perimeter - basically unguarded
- the guy bought the long-shot outcome (like "22°C" when everyone expected 18°C) for pennies, since nobody thought it'd hit
- then he walked up to the probe and briefly heated the air around it with a portable heat source, spiking the reading just long enough to register as the daily max
- temperature snapped back to normal in minutes, the market resolved in his favor, and he cashed out - twice, on April 6 and April 15, before Météo France caught on and filed charges
hyperstitions.
Heartbroken to hear of Leo Radvinsky's passing.
Behind the headlines, just an extremely brilliant, humble and inspiring guy.
Feeling lucky to have crossed his path.
Rest in peace.
there is a lot of MONEY in this
add `/.json` at the end of any Reddit link
> and get the entire thread
> including all replies to the n-th depth
> and all the metadata
> as JSON
and then use LLMs to extract/analyze/etc
you can make so much $$$ from niche subreddits
Can't make this up: Baltimore Police officer uses vehicle with a tampered tag (electrical tape on 0 → 8) while conducting parking enforcement. I kindly helped him.
(Toone St, 8/29/2025)
To rank your product higher for specific prompts in ChatGPT, you can debug the model reasoning process and try to optimize for it.
For example, ChatGPT o3 explains exactly what search queries it uses and how it deduces the results to satisfy the prompt.
Then copy the thought process and ask the LLM how to rank your product higher. It writes a step-by-step guide on how to "game" the ranking.
This intersects with SEO a lot. And I don't feel like I can believe everything it generates.
But at least that's something in the wild west of optimization for LLMs.