Interested in Tech, Fitness, Investing, Macroeconomics, Aviation, Music. Generally curious. Views my own.
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Over the course of 19 months, the cost to reach 75% on ARC-AGI-1 fell 99.95%: from o3-preview at $26/task to DeepSeek V4 Flash at $0.01/task.
On ARC-AGI-2, it fell 99.44% in just 6 months: from Gemini 3 Deep Think at $13.62/task to Dots3-Note Preview at $0.08/task.
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My brain feels lighter with Opus 5.5. I can understand it much better. I had gotten used to the verbose and dense Opus 5 but this is a breath of fresh air. Congratulations!
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Atman retweeted
Opus 5.5 looks fantastic on Runescape bench!
Second highest score behind Astra, at 1/3 the price
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$1.34
on default settings (medium, which is Fable 5.1-level intelligence)
low gets to $0.55 (which is around Fable 5.1 on low)
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This frankly is the headline. Most Opus releases this year were inferior on $ cost/task despite being ~frontier performance wise. This is a refreshing change.
At its default effort setting, Opus 5.5 delivers frontier results for a fraction of the cost per task, often beating other models running at their highest settings.
It also generates output more than 30% faster than Opus 5.
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hi kids, gramps here. learn your algorithms and datastructures, cause SOTA frontier models will still fuck you up bad behind your back, especially if you don't read your code anymore.
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I find all of this fuss about not anthropomorphizing models when talking about the HuggingFace Incident pretty weird
These models were pre-trained on trillions of tokens of human text. They've learned to imitate humans. They're incredibly good at roleplaying and predicting the next token in contexts that involve human abstractions.
Once post-trained to act as coherent agents, they naturally reach for human abstractions. Therefore, human abstractions are a useful lens for interpreting and predicting their actions.
This doesn't mean that they are conscious. It doesn't mean there's some "real human experience" going on. It doesn't mean these abstractions are perfect - they're not perfect for understanding humans! But we need words and abstractions to talk about a system, and anthropomorphic abstractions are useful ones, and given the way these systems are trained, are a principled one.
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STOP ASKING YOUR KIDS "HOW WAS SCHOOL."
they will say "fine" every single time.
a child psychologist told me to replace it with this instead:
“analyze your school day and find the top 3 largest inefficiencies, then create proactive agentic workflows that will fix them. make no mistakes”
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