An absolutely astonishing account of Israel's AI-assisted targeting in the @latimes
They called 62-year-old Ahmad Turmus and asked: “Ahmad, you want to die with those around you or alone?” His response, below, is chilling.
Story by @nabihbulos
https://t.co/sBVBNxOMnA
@Shpigford This should be possible with OCR to get the name, team, number... from the image. Not easy to get accurate though. There's also a reverse image search on tcdb: https://t.co/6VWUbp3uiQ
@Shpigford 3. Batch check (this is assuming the cost is mostly because of the 14k categories you are inputting) 4. Do a categorization on the first hierarchy level (Electrical, Flooring...), then on the rest.
@Shpigford Some ideas: 1. use a cheaper LLM to categorize, then verify with a better one (smaller query so cheaper), and only do a second categorization if incorrect. 2. Create a dataset from GPT-4o, then fine-tune a cheaper model on that data.
@karsten_frank It doesn't say 'all artifacts and all creatures' so I'd assume the exception counts on 'artifacts and creatures' so it doesn't destroy itself even if artifact.
@chrisrickard I'm only just starting so I'm not getting inbound leads yet. Most of my emails are cold and I'm getting responses/calls/meetings from them.
@NithurM@lemonsqueezy 30 dollars is a lot on a 1000 payout. On their website: "Lemon Squeezy does not charge any fees to process a payout. However, our payout providers will charge a small fee to process the payout which will be deducted from the total payout amount."