721–730 of 1001 posts
Here are my notes and pelican benchmark, including a new, harder benchmark because the old one was getting too easy: https://simonwillison.net/2025/Nov/18/gemini-3/
https://gally.net/temp/20251107pelican-alternatives/index.ht...
There seem to be one or two parsing errors. I'll fix those later.
And of course they hiked the API prices Standard Context(≤ 200K tokens) Input $2.00 vs $1.25 (Gemini 3 pro input is 60% more expensive vs 2.5) Output $12.00 vs $10.00 (Gemini 3 pro output is 20% more expensive vs 2.5) Long Context(> 200K tokens) Input $4.00 vs $2.50 (same +60%) Output $18.00 vs $15.00 (same +20%)
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> Not sure what you mean here, but the only real jobs at risk from AI right now are middle/upper management. > Not a single engineer has ever been laid off because of AI. Any company claiming this is the case is trying to cover up bad decisions. I don't suppose these assertions are based on anything. If "AI" reduces the amount of time an engineer spends writing crud, boilerplate, test cases, random scripts, etc., and…
It does improve productivity, just like a good IDE. But engineers didn't get replaced by IDEs and they haven't yet been replaced by AI. By the time its good enough to replace actual engineers, any job done in front of a computer will be at risk. I'm hoping that will happen at the same time as AI embodiment in robots, then every job will be automated, not just computer based ones.
You agree AI improves engineer productivity. So last remaining question is, does greater productivity mean that fewer people are required to satisfy a given demand?
The answer is yes of course. So at this point, supporting the assertion requires handwaving about shortages and induced demand and demand for engineers to develop and support AI and so on. Which are all reasonable, but it should become pretty apparent that you can't be confident in an assertion like that. I would say it's pretty likely that AI has resulted in engineers being laid off in specific instances if not the net numbers.
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I'm not explaining myself right. Stockfish is a superhuman chess program. It's routinely used in chess analysis as "ground truth": if Stockfish says you've made a mistake, it's almost certain you did in fact make a mistake[0]. Also, because it's incomparably stronger than even the very best humans, sometimes the moves it suggests are extremely counterintuitive and it would be unrealistic to expect a human to find the…
I would love to examine Stockfish play that seemed extremely counterintuitive but which ended up winning. How can I do so? (I don't inhabit any of the current chess spaces so have no idea where to look, but my son is approaching the age where I can start to teach him...). That said, chess is such a great human invention. (Go is up there too. And texas no-limit hold'em poker. Those are my top 3 votes for "best human t…
Make a pelican riding a bicycle in 3d: https://gemini.google.com/share/def18e3daa39 Amazing and hilarious
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Why is this sad. You should bw rooting for these LLMs to be as bad as possible..
That ship has sailed long ago. I'm rooting for biological cognitive enhancement through gene editing or whatever other crazy shit. I do not want to have some corporation's AI chip in my brain.
I would like to try controlling my browser with this model. Any ideas how to do this. Ideally I would like something like openAI's atlas or perplexity's comet but powered by gemini 3.
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Imho Gemini 2.5 was by far the better model on non-trivial tasks.
To this day, I still don't understand why Claude gets more acclaim for coding. Gemini 2.5 consistently outperformed Claude and ChatGPT mostly because of the much larger context.
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Rooting is useless. We should be taking conscious action to reduce the bosses' manipulation of our lives and society. We will not be saved by hoping to sabotage a genuinely useful technology.
How is it useful other than for people making money off token outout. Continue to fry your brain.