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1. segpha+J4[view] [source] 2025-05-06 15:34:48
>>meetpa+(OP)
My frustration with using these models for programming in the past has largely been around their tendency to hallucinate APIs that simply don't exist. The Gemini 2.5 models, both pro and flash, seem significantly less susceptible to this than any other model I've tried.

There are still significant limitations, no amount of prompting will get current models to approach abstraction and architecture the way a person does. But I'm finding that these Gemini models are finally able to replace searches and stackoverflow for a lot of my day-to-day programming.

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2. ksec+66[view] [source] 2025-05-06 15:43:32
>>segpha+J4
I have been asking if AI without hallucination, coding or not is possible but so far with no real concrete answer.
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3. mattlo+E6[view] [source] 2025-05-06 15:46:39
>>ksec+66
It's already much improved on the early days.

But I wonder when we'll be happy? Do we expect colleagues friends and family to be 100% laser-accurate 100% of the time? I'd wager we don't. Should we expect that from an artificial intelligence too?

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4. pohuin+m8[view] [source] 2025-05-06 15:54:08
>>mattlo+E6
It's a tool, not an intelligence, a tool that costs money on every erroneous token. I expect my computer to be more reliable at remembering things than myself, that's one of the primary use cases even. Especially if using it costs money. Of course errors are possible, but rarely do they happen as frequently in any other program I use.
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