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@TheGeorgePu Yearly subscription ended last week and goodbye to Perplexity
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Perplexity users just got nerfed.
Deep research was unlimited. Now it's 20 a month.
Normal search is gated to 200 a week.
No email. No announcement. Nothing.
What I subscribed to is not what I got.
Asked for refunds. Denied.
Complained on Discord. Banned.
The moderator called it 'responsible evolution'.
You paid for unlimited. You got robbed.
And they won't even let you complain about it.
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A snake was seen rolling like this on a road, likely due to severe distress or injury,
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Dotnet がリツイート
Indian factory workers wear head-mounted cameras to capture data for training robotics AI models.
This image captures a blunt truth about robotics: teaching a machine to move in the real world is still painfully expensive.
What looks dystopian at first is also a clue about the bottleneck.
Robots do not learn useful physical behavior from internet-scale text the way language models do.
They need embodied data: hands reaching, wrists turning, objects slipping, fabric folding, tools resisting, people recovering from small mistakes in real time.
That data is rare because reality is slow, messy, and costly.
A robot fleet is expensive to buy, expensive to maintain, hard to supervise, and dangerous to scale in uncontrolled settings.
Even teleoperation is costly, because every minute of human-guided movement requires hardware, operators, calibration, and failure recovery.
So companies go looking for the cheapest possible proxy for physical intelligence.
First-person video from factory workers is not the same as robot action data, but it can still be valuable because it captures sequencing, posture, bimanual coordination, and the micro-adjustments that make real work look easy.
The frontier in robotics is not just better models.
It is better pipelines for collecting reality itself.
That is why warehouses, factories, kitchens, and repair benches matter so much: they are dense environments of repeated contact with the physical world, which is exactly what robots lack.
The unsettling part is that this turns human labor into training infrastructure twice over, first as work, then as data.
And until embodied data becomes cheaper to gather than human motion is to record, robotics will keep learning from workers before it fully replaces them.
Rohan Paul@rohanpaul_ai
Robotic data is insanely expensive and brutal to collect. It’s the only thing holding back general-purpose robots right now. Figure CEO @adcock_brett : "If we could get a pile of data in the helix stack, we would solve general robotics right now."
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@stelzner_n1150 He said he's going to focus more on his own things going forward.
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Why won't Elon Musk talk about the Iran War?
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@nikitabier @BillyM2k That's awesome! A quick fact-check button would be a total lifesaver here. Having to type it all out manually every single time is such a pain.
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@BillyM2k What if it showed a tooltip when tapping it and gave you some options?
• Fact check: Is this true?
• Summarize this
• Explain like I’m five
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i find myself using the “ask grok” button on the upper right of posts very frequently these days, especially since grok 4.20 feels a lot smarter than previous iterations
it’s really helpful when something looks like fake news and i can quickly check if it’s been vetted anywhere
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@jayair @opencode @kitlangton Cool, but let's actually ship something. Why does it keep compacting so often? When can we adjust the compact threshold?
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