Ok but you can use AC in the winter as well, you've an use it only to dry the air in your apartment. So this is not a real argument to me once you know what it can do and how it does it, there is no reason not to have one. Outside it is 25°C but I still run my AC at 22°C and it is super efficient as this is the case where AC excels at efficiency when the diff is small. It is a heat pump, sometimes I would run it when outside is colder and inside is veru warm as it moves heat faster than opening the window and waiting.
I know not AC are/were heat pumps but I don't know of any that are not anymore
Oh don't get me wrong I would try to use the best model available (I don't always max out my usage, and a better model leads to less work from mw hypothetically) even when it can be taken away, I just refuse to feel pressured by them.
This is just a series of ploys to make more marketing about fable. They know that if they make it api only nobody is going to talk about it. And knowing that openai will have a comparable model soon means they need to stir up some hype and make people use/talk about it as much as possible. And bluffing that access will be restricted until a specific date is just marketing. Like saying buy in the next 24 hours get one free.
I didn't want to mock them but are these guys for real:
```
Instead of:
"Update the checklist to mark items 1.2, 1.4, and 1.5 as done."
Try:
"Mark items 1.2, 1.4, and 1.5 as complete in the checklist. Only insert an x in each checkbox. Do not copy or replace any of the item descriptions."
```
There is not universe in which this would make agents more efficient - and who is prompting their agents like that in the first place?
I also asked glm to extract all the tools and tell me how they work roughly and nothing interesting really just slop:
```
The server exposes exactly 11 tools (verified via the xa whitelist at L16918, not the larger Eo metadata map which contains ~24 tool definitions — most are dead/legacy):
If that works for you pls buy a second hand MacBook m1 or M2 air (air has worse design but some silicon bugs are ironed out around vms etc) and run it for Linux. It is silent very powerful and you will use for a very long time. Very non repairable tho :(
So you know what is a file format the we would be able to Reed 100 years from now. CSV, json even fits (that is 30 years old now). If you don't know the original way it was created you know what each field I supposed to mean (if done well). Otherwise you look at hex decoded data with no way if knowing how to decide it if you don't have tha spec on how and why this was encoded. Msgpack and cbor are cool but in 100 years there is no way to decide it.
I have been thinking a lot about this and my simplified understanding is that each model can be seen as a bell curve over human knowledge and each model has a different distribution. Using multiple models would allow us to change the distribution of other models with text that is out of their original curve. But then if you think about it does SFP and RL even alter the original distribution of text enough that models have enough variety so that their combined output is something better or just an echo chamber I believe not but I have no way to prove it yet.
I have been using all of ataraxy labs tools for the past few months and that have been indispensable for models to make less mistakes for me. From better git diffs to impact analysis and code reviews.
I would like to have deeper comparison with alternatives like rtk, which are already fast and written in rust, also the previous comments mentioned something that has been a know problem with rtk that it sometimes strips the thing that the llm needs (or expects, causing more work to need to happan not less)