To add to this, some organizations just prefer using one provider for their cloud service. So if they build on Azure/Google Cloud/AWS, then everything needs to be on there. Cloudflare probably wants to offer the same here, where everything can be built on Cloudflare.
Reminds me of some code I saw running in production. Every time we added a new entry, we were pulling all the UUIDs from this table, generating a new UUID, and checking for collisions up to 10 times.
Given that providers of open source models can offer Kimi K2.5 at input $0.60 and output $2.50 per million tokens, I think the cost of inference must be around that. We would still need to compare the tokens per second.
There's a program called Hilo [1] in Québec where it's using the Hydro-Québec Rate Flex D [2] to automatically stop the heating during peak demand.
> With Rate Flex D, you can save quite a bit of money, since most of the time in winter, you’ll be charged less than the base rate, except during occasional peak demand events, when you’ll be charged more than the base rate.
"Ripple control" is vintage technology - hourly usage meters are not necessary.
Everyone imagines that consumers would change their behaviour if they were given price information. In my experience, I've yet to see any good data showing that on average consumers save electricity due to smart meters.
In New Zealand, I think the power companies design their consumer products to be unhelpful (what's the equivalent term here for dark patterns in marketing?). I believe few consumers watch their instant usage or review their hourly usage. Personally I changed away from a plan that used spot prices (after seeing the debacle from snow in Texas, and realising the rewards were low and that judging/managing the risks was hard).
I find Google search useful. I find the AI generated snippets they inject into the top of the page a distraction. Roughly 9/10 times the information is generic, unhelpful, or plain wrong.
I stopped finding their search competitive around 2015 but kept checking with gradually less frequency, so I can't really comment on whether anything new has added or hurt their results.
Some of their semantic web based info results seemed good and would have benefited by more complex algorithms to figure out when to show it.. But I kind of got the sense that they went into the Amazon territory where no one was authorized to sort anything out any more to get out of some kind of local optimums.
I originally moved to duckduckgo to use their !g/!b/!.. for quick search comparisons when I was very much a power user of search, but these days ddg's first results or results after adding a qualifying word are usually adequate for my usage and my power search skills are in decline.
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