To provide some counterweight to all the overwhelmingly positive reviews:
I've used kagi for 6 months and have over 7500 searches with them. It mostly works, but there are a few downsides compared to Google:
- The latency is a lot higher than google, taking over a second to display any results.
- The results are often not as relevant, I have to frequently retry my search in Google.
- The results for anything local (I'm not in the US) are abysmal. Searching for anything in my city instead only gives me results for the city's history.
Still, I persist in using Kagi, mainly because it's not Google and I want them to succeed. The results are frequently good enough for me to stay with them.
Not for “$5 million in launch costs” per 40MW compute unit. Sure, many things are possible with enough money, but their “Table 1” is a pretty bald-faced lie. Just the weight of 40MW’s worth of H100 GPU’s alone would be $200 million in launch costs on a Falcon Heavy. That’s before you even add on launch costs for solar panels or “magic” not-invented-yet radiator panels.
The first question isn’t whether it’s “possible” with enough money, it’s whether it could ever be within even an order of magnitude of “profitable”. The second question is why would you trust a company who provides these kinds of estimates with no reasonable explanation for these obvious massive discrepancies?
1000000 m2 are a 1x1 km square. If we assume a 5mm copper sheet of that size it weighs 44512900 kg.
A kg in a heavy falcon costs ~1500 USD. So we land at 66 billion USD in launch cost for the copper alone.
I probably don't have to explain that building a radiator of that size in space isn't free either. And the stuff that gets the heat to those radiatoes is neither free nor lightweight either.
it seems to be optimized for dry walls. not sure how it would perform on concrete or other stone walls. Also I could not find a technical description how it works.
- IQ is known to be mostly genetic (see e.g. Pinker's "Blank Slate"), so it's unlikely (though not impossible) that the differences in IQ stddev are cultural
- Wikipedia cites another study that found similar effect in birds: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7423667/. This kind of difference could evolve due to different reproduction strategies for males and females.
Adding `busybox` and `bashInteractive` to the container contents gives you enough of a comfortable environment to work in without losing too much space.
Maybe not but so what? If you want some debugging tools add the debugging tools. Who cares if it is "distroless" anymore. I think the main point of "distroless" images is bringing only what you need, if you need debugging tools then bring them.
I'm not sure that the answers that the model provides have anything to do with what it's actually doing.
The way they seem to be prompting it also exhibits this issue, where they first have it arrive at a conclusion and then come up with an explanation for this conclusion. LLMs do not have an inner voice to reason with, and tokens generated later do not influence earlier tokens (unless you're doing beam search, but you mostly aren't). It would be much improved if asked to do reasoning first and then arrive at a conclusion.
I've used kagi for 6 months and have over 7500 searches with them. It mostly works, but there are a few downsides compared to Google:
- The latency is a lot higher than google, taking over a second to display any results. - The results are often not as relevant, I have to frequently retry my search in Google. - The results for anything local (I'm not in the US) are abysmal. Searching for anything in my city instead only gives me results for the city's history.
Still, I persist in using Kagi, mainly because it's not Google and I want them to succeed. The results are frequently good enough for me to stay with them.
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