Which is now their official position I guess as this whole “AI space datacenter” stuff is a significant part of the whole SpaceX IPO.
I assume privately they may not share that opinion, but it’s not in Anthropic’s interest to talk about this (very little to gain, and may ruffle a lot of feathers if they say the wrong thing).
> but given that you can actually run the models yourself on AWS Bedrock
That's not exactly how it works. Anthropic are hosting their models in AWS Bedrock as a managed service. Customers call those LLMs just like calling any other API. There's no visibility into what kind of AWS infrastructure is serving that API request.
There is a surprising amount of code needed in each of the inference frameworks (LM Studio, llama.cpp, etc) to support each new model release. For example to format the input in the right way using a chat template, to parse the output properly with the model-specific tokens the model provider decided to standardize on for their model, and more.
This particular instance was a fix to the output parsing [1] in LM Studio, described like this:
"Adds value type parsers that use <|\"|> as string delimiters instead of JSON's double quotes, and disables json-to-schema conversion for these types."
I think we lost that terminology war. Open source models mean open weight. There are only a couple examples of fully open source models with open data and code, and the labs are not incentivized to go that far.
Yes, retooling gas stations is the way to go. Already happening in Norway where stations now show the price of kWh in addition to gas and diesel prominently on signs by the road. Charging is just a different kind of pump.
Charging stations don't need all the environmental equipment that gas stations have to catch oil and gas run off. I guess we could convert old gas stations that don’t need extensive environmental cleanup, but building new ones just to charge EVs is huge overkill when you just need some space in a parking lot.
a key difference between a gas station and a parking lot is that people only park at a gas station to get gas (and have a rest, get dinner, bathroom break etc), so, assuming quick charging, you need less chargers as they will spend less time not charging a fully charged car left parked on them. Gas station staff can ensure charging spots are utilized correctly as they do now for the pumps.
Also everyone understands how gas stations work, so it is easier to slip EVs into the social fabric.
That's a good point. Charging stations benefit from being a service station too though, with amenities and a cafe etc, since people want something to do while they charge. So a gas station is a better candidate than a parking lot when decisions are made for where to place the new charging infrastructure. Lots of other factors too of course.
I prefer grocery stores because I can run in and grab something quickly. The only problem is that charging is often too quick to do any real shopping, so a smaller convenience store makes sense also.
America certainly did not invent electric cars. Depending on which electric car you consider the first real one, the inventor was either French, British or German [1].
"Industry" is a keyword that your pedantry is overlooking. Unless you can edify us as to where there was an EV industry prior to Tesla? The existence or history of the tech is irrelevant in that comment.
Also wrestling with this challenge at the moment and curious to hear experiences from others. Even though it requires human input, the capture and the way it's updated has to get automated.
Completely agree the manual capture is exactly where it breaks down every time. Curious, what's your current setup? GitHub + Slack or something different?
This 100%