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So I know a lot of posters here are doing some really advanced stuff with AI, but I have a quick little anecdote from my own luddite life that might help explain why most normies don't really see AI as something particularly useful.
I just asked Google's free AI what the current value of 0.035 ounces of gold is and it completely face-planted, ignoring the decimal and the zero and giving me the value for 35 ounces. This isn't a case of overactive guardrails or confusing syntax or hallucinating plausible details into a news story; it's the most basic of transcription errors, the kind that dumb, pre-LLM systems have solved for decades. Old google never would have made such an error.
This is the technology that's going to completely upend the world order? It makes sense for normies to be skeptical. Regardless of what the frontier labs have cooking, the AI most people actually interact with is worse than useless half the time.
Anybody else have one of these "the fuck are we even doing here?" moments with AI recently?
I'm amazed at how many people don't cough up even the $20 required for the full-fat experience. At least OpenAI has recently announced that they're making unlimited usage of a newer model, 5.6 Luna, available to the masses for free. It is still several steps down from Sol, which continues to genuinely impress me.
Google's "free AI" is an incredibly imprecise term. It can mean Gemini 3.5 (Flash? Lite?) when used through the Gemini app. It can be the search-specific Gemini 1.5, IIRC, used if you just "Google" something. As you can imagine, not even Google can afford to use the best of the best when serving so many people at such scale, with the majority being trivial queries.
I would pay a great deal more than $20 for an AI plan, but luckily, I don't have to. I've got tons of Claude Max, because I decided to accept payment in that form instead of figuring out intercontinental financial transfers after my participation in Unslop.
I remember when a Dutch junior of mine was consulting another senior for advice when working on a meta-analysis meant for a big name journal. I could have clapped like a seal when the latter mentioned Claude, in addition to ChatGPT, for help with the stats scutwork. Then I asked, and confirmed, that she only had a free plan. I was so dismayed that I immediately offered to share my Max, and walk her through things. It didn't hurt that she's a pretty girl, and it would have provided an opportunity to go out with her (that ended up happening anyway), but I am beyond annoyed when other doctors use free-tier LLMs for clinical work. They still function adequately, but anyone who can afford better should use better. $20 is really not an onerous ask for a significant amount of intelligence on tap.
Yeah, very recently decided to try the Claude Pro-tier AI for a month, and I'm very impressed. I did have access to Gemini 3.1 Pro through work, but it feels like a night-and-day difference.
We'll see if I still feel this way in a couple weeks, but for now I'm firmly in the "very, very useful" camp.
I'm actually a huge fan or 3.1 pro (high) personally. Opus and 5.x xhigh are definitely better at difficult problem solving but 3.1 pro can handle most things and is much more chill and less anal about many things.
Would be interesting to hear what specific tasks 3.1 pro underperforms on that opus can take care of
To be honest, I don't know if I can compare them fairly. My access to 3.1 pro was clearly a budget option or something, because I would constantly be shunted back down to "Thinking" because of pro being in high demand.
I also didn't have a Claude Code-like option, but attempting to feed 3.1 pro my code worked for a single response, and then it claimed to be unable to remember it for the next question. Possibly, I could have kept giving the entire 5k lines of code for every question, but that seemed ridiculous.
In contrast, I pointed Claude Code at my project directory, typed "/init" and it very accurately determined what the purpose of the project was and all the specifics from just the code, test output, and poor documentation.
With that said, for smaller code questions 3.1 pro was certainly adequate.
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