macrolime

I've tried many MCPs, but have yet to find any that are actually useful. It seems it's generally better to just have the agent run CLI commands and maybe use some skills. From what I can find, MCPs are nothing but bloat. Is anyone aware of any truly useful MCPs that doesn't work better and less bloaty by skipping the MCP part?

I have these exact issues with GPT 5.6 Sol too. I haven't tried Opus 5, but I guess it's even worse.

"like the question framing has been pulled from the middle of its own reasoning stream" this describes how it asks things perfectly. It often invents its own jargon and abbreviations for things that its working on, then asking me things like We are nod in the middle of GBAPI-2 and I want to proceed with IG5, should we take CDI-7 or CDI-8? Where all of these abbreviations are then things like stages of its current internal plan or its naming of things it has just implemented, like an abbreviation of a classname, without explaining any of the naming.

Most consistent way of achieving it I've managed is use a watch with an alarm that vibrates and is trivial to turn off or turns off by itself, then set it to go off after sleeping 5-6 hours. When waking up, don't move and focus on the black behind the eyes, then after a few seconds it may turn into a dream and you go straight from waking into a lucid dream.

I had something kinda similar happen to my hotmail account. While I didn't lose access to it, I lost more than a decade of correspondence dating back to my teenage years. The reason was that Microsoft at some point required you to "login" once every 30 days. It seems they only counted logins through their web interface or something like that, so even though I was receiving emails daily, I didn't trigger a "login" in their system. They then deleted all my emails, but I could still login.

I find that surprising. GPT 5.2 is the model I've had working the longest. It frequently works more than 4 hours nonstop, while earlier models would stop to ask if they should continue every 10 minutes. 5.1 and earlier ignores it if I ask it to continue until a task is done, but 5.2 will usually finish it.

"Can you replay all of your prompts exactly the way you wrote them and get the same behaviour out of the LLM generated code? In that case, the situation might be similar. If that's not the case, probably not." Yes and no. It's possible in theory, but in practice it requires control over the seed, which you typically don't have in the AI coding tools. At least if you're using local models, you can control the seed and have it be deterministic.

That said, you don't necessarily always have 100% deterministic build when compiling code either.

So you're saying machine code is public domain if it's compiled from C? If not, why would AI generated code be any different?

So it's made of extraterrestrial bubblegum, got it.

Pretty sure it will beat Sonnet by a wide margin in actual real-world usage.

I've found that SDD is actually what you need to be able to work with code bases when they go above around 100 000 lines of code. It's what unlocked getting LLMs to work well with large codebases for me.

In the EU you can also generally look up the cost, even in cases where the patient doesn't pay, there is a bill and fixed costs. The costs are what the government pays or what a foreigner with no medical coverage and insurance would pay. It's also generally a tiny fraction of the cost in the US.

What is "it". Gpt-5 auto? Gpt-5 pro? Deep research? These have wildly different hallucination rates.