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Comment Re: Might work on the easy problems (Score 1) 52

I was feeding some graphs of my PV production to claude.ai . There was clipping - a flat line near the top - and i was trying to get it to tell me how much more production i would get if the inverter was bigger. It kept insisting there was no flat line or clipping going on, making up the peak number. Confidently. Even after multiple prompts, including some as "are you blind". There are things these tools are just terrible at. Reading graphs is one of them, apparently. I also tried to get it to create a diagram of my PV installation. It did 99% of the job, but just couldn't make very minor formatting corrections - preventing the boxes from overlapping. It tried to regenerate the graph from scratch, but made my unwanted changes in the process.

I have similar issues when using various code generator agents. They struggle enormously with making isolated minor fixes.

It's almost as if we need some non-generative AI to actually get the job done.

Comment Re: The cost of force (Score 1) 89

It very much does learn even within its local session. For example, I have been teaching it to ssh into my raspberry pi hooked up to the carrier hvac bus via rs485 for the last few months for reverse engineering purposes. I iterate every week or so with new tracesx making it updtae the code, and run the nee version. The additional prompts I type eerkpy are very short, as it has all the conversation history. Even pre migration from wsl to lxc. Sometimes it does forget certain detailsx like any LLM. I do not mind if the convo gets used for public training, as this is open source code. There may be an opt out. I'm not sure i would trust cloud LLM if this was proprietary, though.

Comment Re: The cost of force (Score 1) 89

Codex CLI stores full conversations locally. So does Claude code. It doesn't mean the LLM will remember - it has a context limit. But it is there for you to search. It is PITA to migrate all this to another system, though. There is no officially supported way. LLMs were able to create scripts to move my side projects conversations from a WSL Ubuntu VM to a more manageable lxc container on my proxmox server, though.

Comment Re:GM V2G still vaporware (Score 1) 90

My Equinox EV dealer last year knew a ton about the car actually - he was driving one himself. I did not inquire about battery backup at the time.

I feel there is a lot of standardization needed for all these grid-tied batteries and solar PV as well.

I have a huge solar PV system with Enphase with 42 IQ8+ and 28 M215. Even if I want Enphase batteries, I first need to upgrade the M215 to IQ series before I can install them due to communication protocol changes. If I want 3rd party (non-Enphase) batteries, or add V2H/V2G, I'm not sure how that can even work. There needs to be some sort of interoperability standard.

Comment GM V2G still vaporware (Score 1) 90

GM energy rep did not know anything about V2H when I spoke on tuesday.

And their V2H system is hopelessly overpriced. $10-$12k to install. The 9.6 kW output power limit on the Equinox EV is not enough for V2H for my home. 9.6 kW would be fine for V2G. With 2 cars each delivering 9.6 kW, it would work. Except of course their charger hardware does not support it. And they just haven't delivered V2G.

2030 with PG&E is a joke. Tesla and Ford already do both V2H and V2G in the current PG&E V2X pilot.

GM

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