mpeg · HackerLangs

il y a 9 joursdiscuss

There are reliable ways of differentiating human from cheap, bulk scraping bots.

But if the bot is advanced / expensive enough, it gets a lot harder. Where this product's market sits is in giving a paid way to access content compared to having to spin up bots that run js, from real IP addresses, etc. all of which are more expensive

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il y a 14 joursdiscuss

Yeah, to be fair is not the norm and was mostly due to the AI crypto craze which drove their token price up so they ended up adding very big rewards

Even in LLM jailbreak CTFs I've seen, it ends up feeling like underpaid work when it's sponsored by Microsoft and the prize pool is, say $10k (including stuff like azure credits) considering the salaries AI safety engineers command at big tech!

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il y a 15 joursdiscuss

I saw this thing when it was launched, but IIRC the reward was tiny (like $100?) so it wasn't worth exposing a good prompt for

For comparison, I won a similar prompt injection challenge ran by a crypto company a while back where the total prize pool was over $100k... I didn't win every challenge though, but my team took home around half of that

The problem with good prompt injections is they have a very short half life once they are out in the wild (especially if they work against frontier models)

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il y a 21 joursdiscuss

Data engineers hate this one simple trick

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il y a 21 joursdiscuss

I've used that with companies I consult for, everyone thinks they should do what Google does, so sometimes I'll drop them the "your whole company data fits in my phone/laptop" line to make them understand the (lack of) scale

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il y a 21 joursdiscuss

This is nice, but I don't see much of a difference between just asking claude to write a wrangler config to push to cf pages, which can be extremely simple

  name: my-cool-pages-project   
  pages_build_output_dir: ./html-files/

then npx wrangler deploy

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il y a 22 joursdiscuss

Yeah I guessed that one right because xylophone player sounded like a trap.

I don't understand how they rank words though, some extremely common words like xenophobia were ranked as high as much more obscure ones.

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il y a 22 joursdiscuss

Yeah I got 75k~ and did something similar ... most of the expert and grandmaster ones had at least 1 or 2 obvious incorrect answers, then it was a 50/50 so I usually went for the thing that sounded either closer to the root of the word or completely left-field

Anything up to expert was obvious

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il y a 22 joursdiscuss

It'd also be a lot less awkward to go through 100 words if it had keyboard shortcuts (1-4 for the words, enter to submit) and if they fixed the layout shift jank

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il y a 22 joursdiscuss

I disagree, a lot of the time people buy "serious BI tools" precisely because they think they need all that power and complexity.

In reality, what most people need is much simpler, a mini app with some curated datasets and simple filters, maybe some AI querying if we want to get fancy. There's some companies out there that work with big data, but for the rest of us small data is ok.

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il y a 23 joursdiscuss

I went with eero and really wish I'd gone with unifi

Apart from the shitty software and basic features either missing or locked behind a monthly cost, the network itself is not bad at all, I get 600-700mbps on wifi throughout the house and have my servers wired on 2.5gbe

But the one thing I really thought I was buying into by choosing an amazon brand was ease when it came to buying upgrades, and yet I ended up having to buy extra hardware (like the wired gateway) from ebay and sellers in the US as amazon does not sell their own hardware everywhere

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il y a 23 joursdiscuss

That seems reasonable, I don't buy NAS for datacenters (just run a modest 80tb one for my home lab) but equivalent rackmount 16-bay ones from other vendors would be more expensive (maybe $5k-6k?) and with less polish.

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il y a 30 joursdiscuss

I think there are unknowns in the calculation:

- What are the margins of Anthropic over their API pricing? Without this, all we're saying is the API is more expensive for heavy usage

- How have their price margins changed over time? I imagine built into their commercial model is the expectation for inference to get cheaper over time

- They have tighter usage windows than they used to, now having both 5-hour and weekly limits, they also seem to experiment with their usage quite often, this probably affects user's average utilisation, do they have any other levers they can pull here? eg how does changing to an 8-hour window affect it, or limiting certain models to API-only usage based on capacity like Fable

I know there is a certain level of subsidised usage built into their subscriptions, the VC-funded company playbook, but I don't think anyone from the outside knows for sure how much it is and I imagine it's lower than most people think, and reducing over time.

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il y a 30 joursdiscuss

This is true for a lot of subscriptions though: some people use 100% of their mobile plan data, some people use 10% – the price accounts for this.

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il y a 30 joursdiscuss

I get that, but the drawbacks outweigh the benefits imho and the b64 overhead is not solved, just deferred.

Say I want to distribute an hmml file as a single file, I'd have to create an html with the embedded js runtime, and then embed the hmml file... as b64, therefore negating any benefits.

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il y a 30 joursdiscuss

I don't understand the advantage of this vs an html file with embedded images, except the latter would work with no runtime.

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le mois dernierdiscuss

I like orbstack in theory, but I find it hard to justify a $96/yr license fee for something that has so many open source, free alternatives. As it is, I’d rather use podman or colima

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le mois dernierdiscuss

Back in the day I wrote a PoC exploit for my employers app that abused an image upload api by embedding a jar file inside an svg as XXE which then got me RCE. Fun times.

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le mois dernierdiscuss

It is, it asks you if you want to continue as opus 4.8… but I was trying precisely to evaluate fable

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le mois dernierdiscuss

It's not even very usable... I tried 2 different chats and both eventually got stopped due to the safeguards

One was a piece of code I gave it to improve, it did so and then started writing tests, some of which tested security so the safeguards triggered

Another was one of the cryptography puzzles I use as new model tests, which are hard to oneshot and there's no public solution anywhere, it completely refused to even try to solve it

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