> 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.
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.
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.
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].
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.
Spend time building a test harness and evaluations of whether the solution meets the requirements. Then you don't need to look at the code because those other pieces will bring the necessary guarantees and trust.
Because we all prefer it over Gemini and Codex. Anthropic knows that and needs to get as much out of it as possible while they can. Not saying the others will catch up soon. But at some point other models will be as capable as Opus and Sonnet are now, and then it's easier to let price guide the choice of provider.
Still do. Great for workloads where it's okay to bundle a bunch of requests and wait some hours (up to 24h, usually done faster) for all of them to complete.
You’re ignoring Jevons paradox. Everyone, both people and companies, will be making exponentially more software with these tools. Software that both needs to get created, debugged and updated to realize the intention of it. That’s what our time will be spent on as programmers.
Apple has a solid hardware business and massive profits from their App Store tax, they are not dependent on ad business in the way Google is. Very different incentives.
Sounds neat but what kind of range limits would that impose on each trip? Switching from one means of transportation to another, even if both are buses, increases the total travel time significantly. Not to mention all the hassle involved for passengers.