- This Week in AI
- Posts
- your data in crisis?
your data in crisis?
and a quiz brought to you by human overthinking
In partnership with
Hello folks!!
Hope your resolutions are going strong.
Remember when OpenAI's Ilya Sutskever dropped that bomb about "peak data"? Yeah, turns out we've basically used up all the good stuff on the internet to train AI. But Google's not sweating it.
Here's the deal:
The Problem:
We've hit a wall. All the quality data floating around the internet? Already sucked up by existing AI models. It's like trying to make a new smoothie but realizing you've already used all the fresh fruit in the fridge.
Google's Solution:
They're calling it "inference-time compute" (fancy name, I know). But it's actually pretty clever:
• Break down big problems into bite-sized pieces
• Solve them one at a time
• Use the better answers to teach the AI more stuff
Think of it like solving a puzzle. Instead of staring at the whole thing confused, you figure out one corner, then use what you learned to tackle the next part.
Early signs? Looking good. Models like OpenAI's o1 and DeepSeek V3 are already showing they can do more with less.
Bottom line: Just when everyone thought AI hit a dead end with data, Google might've found a secret passage. Classic Google move, really.
How's that affecting the AI game? Well, that's another story for another day...
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Q2) Your friend says they're in Paris. The Eiffel Tower is behind them in their selfie. Are they lying? |
Q3) What kills more people annually? |
Q4) An AI wrote half this quiz. Which half? |
Q5) What's the actual biggest threat from AI? |
ANSWERS:
Does it matter? By the time you read this, AI will have probably learned all the right answers anyway.
Bonus Question:
Q) How many times did AI hallucinate while helping write this quiz? |
quiz brought to you by human overthinking
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