We got a 17Kwh array this year (US) and a few powerwalls and it is one of my favorite purchases. I can run nearly any amount of GPUs for free, and never worry about power outages or what temperature to set the AC to. If anyone is on the fence about Solar, I highly recommend it
The complaints about Apple are from decades of excellent design and about a pixel being off or other small items that people with well trained eyes spot. The problems with Windows are forcing you to run Onedrive and then deleting your files
FWIW I bought the M4 max with 128GB and it is useful for local LLMs for OCR, I don't find it as useful for coding (ala Codex / Claude Code) with local LLMs. I find that even with GPT 5 / Claude 4.5 Sonnet that trust is low, and local LLMs can lower that just enough to not be as useful. The heat is also a factor - Apple makes great hardware, but I don't believe it is designed for continuous usage the way a desktop is.
Thank you! Planetscale has been great so far especially the console where it shows the query insights and the p95 / p99 views. I have been able to make features without worrying about the database because it just works
Missing from this announcement is language around Privacy. Cursor for example has a Privacy Mode that promises not to store code, and this seems like a critical feature for any AI enhanced dev tools.
Hey Lee - I tried setting up a self hosted POC today and it looks pretty tricky:
* The shared cache loader is left to the user to implement (instead of say, just pass a Redis URL)
* The revalidate XYZ doesn't seem to work with Cloudfront etc
* The image lambda is left to the user
* The Cache-Control header isn't correct
Ironically when you are not paying attention, it is the least safe to disengage FSD. Ideally all drivers not paying attention would have FSD safety features auto engage to stop them from causing accidents.
I just drove the Tesla Model Y around where this past weekend it was -10F. Range was probably 15% lower overall (lots of heating / heated seats etc) and we were cautious to make sure we stayed charged up (huge traffic delays due to the storm meant you could be stuck in your car for 6-10 hours). Overall everything worked out, I did have battery anxiety but there were also gas cars which had anxiety.
It looks like these models won't be as useful for LLM inference which are heavily memory bandwidth constrained. The Macbook Pro page shows M3 at 100GB/s,150GB/s, and 300GB/s vs M2 at 200GB/s and 400GB/s. 400GB/s is available for M3 if you opt for the high gpu config, but interesting to see it go down across all of these models.
I grew up North of Ohio and it was common to joke about driving down to Ohio as being more rural / farm stereotypes. Later I moved to Ohio and found out it was a great state with a larger economy (top 7) compared to most of the states which make fun of it.