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Interestingly, both Claude-3.7-Sonnet and Claude-3.5-Sonnet rank better than Claude-Sonnet-4.


yeah that surprised me too


In Berlin, you could get it for free through the SolarPLUS[1] subsidy program. My setup (2 panels, inverter and mounts) cost less than 500€ and was fully subsidized.

[1] https://www.ibb-business-team.de/en/solarplus/


I've been using https://www.codegpt.ee with the Jetbrains IDEs (mainly PyCharm) and I'm pretty happy with it. You can also bring your own API key.


Yes, for non-agentic AI assisted development flow, CodeGPT is better than most IntelliJ plugins, inculding JB's own Assistant.


I've had a great experience using the IntelliJ plugin called CodeGPT (https://plugins.jetbrains.com/plugin/21056-codegpt). What I really like about it is that it allows you to bring your own API key for various providers like Anthropic and OpenAI.

Additionally, CodeGPT supports local LLMs, which can be useful if you're concerned about data privacy or want to work offline.


Seems to be interesting. Unfortunately, I can't run anything local with reasonable time response. By the way, I need to search again about this, maybe de Llama local runs better now with recent improvements on the model.

Thanks by sharing your experience.


Wouldn't the parents fall into the Gen X?


Nowadays Homebrew keeps its stuff under /opt/homebrew/


Only if you have an ARM64 Mac. x86 still use the old path.


Firefox thinks that the site is a potential threat:

Firefox detected a potential security threat and did not continue to postbrainer.com. If you visit this site, attackers could try to steal information like your passwords, emails, or credit card details.

The certificate is not trusted because it is self-signed.


Hi, could you open the page again? I have the ssl certificate since the beggining, and any user has problem with it :(



I am currently using https://github.com/Bin-Huang/chatbox. It ticks some of the boxes you've mentioned.


Very nice. I’ve used Loess regression ten years ago when charting my body weight with R. Here is the blog post about it:

https://blog.tafkas.net/2013/06/22/five-years-of-weight-trac...


Geom_smooth actually interpolates 80 points along the range of your data and then fits a Loess regression on that. It is incredibly slow to train on significant numbers of data points, hence the workaround.

Edit: I misremembered, it evaluates 80 predictions to draw the line, which is why you can't retrieve the formula from the plot object anymore, but it does in fact fit on the whole dataset.

Loess regression does have n^2 memory complexity, but the cutoff it uses to decide to go for a different model family is n >= 1000.


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