@ActionModelAI Well, people are trading data for tools they actually use. The real issue is whether that trade is fair or transparent.
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Stewart Bake
2.2K posts
Stewart Bake retweetledi
AI companies thrive on your data.
Remember if a platform is free, you are the product.
You wouldn’t work for free.
So why are you training AI for free?
Get your share with @ActionModelAI
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@ActionModelAI Training on real workflows is way more powerful than scraping public data, but it crosses into territory that feels hard to justify long term. If the value is coming from how people actually work, it’s hard to argue they shouldn’t have some say or upside.
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Stewart Bake retweetledi
@sina_builds Feels unavoidable, but who controls the rails matters a lot. If the value layer stays centralized, most people just get scraps.
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Stewart Bake retweetledi
This has to be the inevitable future - but rather than putting it in the hands of the billionaires and politicians, there needs to be permissionless, verifiable ways for AI value to be distributed to communities.
Elon Musk@elonmusk
Universal HIGH INCOME via checks issued by the Federal government is the best way to deal with unemployment caused by AI. AI/robotics will produce goods & services far in excess of the increase in the money supply, so there will not be inflation.
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Stewart Bake retweetledi
Progress you can use > progress you can promise.
Most execution layers are already near their ceiling. Fuel's technology isn't.
Ignition runs at 600+ TPS today.
The FuelVM hits 21,000 TPS per core.
On an 8-core machine that's 150,000+ TPS.
Built to scale. Proven to ship. ⛽️
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@radypjam @ActionModelAI This is a solid opportunity for anyone already plugged into Web3 circles, especially if you have access to quality projects and VCs.
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Stewart Bake retweetledi
🟣We’re hiring Commission-Based BDs for @ActionModelAI
Help us fill the ActionFi Campaign prize pool by onboarding Web3 projects, VCs & ecosystems.
High commission | Uncapped earnings | Remote
Strong Web3 network + BD experience preferred.
DM me or comment “BD”.
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@ActionModelAI It does feel like we’re all feeding the machine just by existing online, which is kind of wild when you think about the scale of it.
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Stewart Bake retweetledi
The biggest job in the world right now…
Is training AI.
No job title.
No salary.
No ownership.
Just billions of people doing it for free.
Most don’t even realize it.
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@ActionModelAI It’s hard to ignore how uneven that setup looks. If people are directly shaping the behavior of these systems, it makes sense they should share in the upside somehow, not just get a one-off payment.
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Stewart Bake retweetledi
Robotics companies are raising $100M+ to train AI.
The workers training it? Getting paid ~$100/month.
To help replace themselves.
Is that fair?
At Action Model, we believe if you train AI, you should own a piece of it.
Georgia | Action Model@georgia_action
Factory workers in India are wearing head-mounted cameras to capture hand movements for AI training. Even in the physical world you're training AI to replace you. If you're training AI, at least own it with @ActionModelAI
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@georgia_action @ActionModelAI Basically turning skilled manual work into training material that could phase those same roles out later.
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Stewart Bake retweetledi
Factory workers in India are wearing head-mounted cameras to capture hand movements for AI training.
Even in the physical world you're training AI to replace you.
If you're training AI, at least own it with @ActionModelAI
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@ActionModelAI 47% isn’t something to brush off. It’s interesting seeing the shift from “AI won’t replace jobs” to this level of uncertainty.
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Stewart Bake retweetledi
Economists now see up to a 47% chance of major AI disruption by 2030.
Some models show workforce participation dropping below 60%.
For years, economists said AI wouldn’t replace jobs.
Now they’re not so sure.
47% is too big of a risk to ignore.
If AI is going to reshape the workforce,
the people contributing to it should have a stake in it.
That’s what Action Model makes possible.
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Stewart Bake retweetledi
The first wave of InfoFi financialized attention. Post more, earn more. The result was predictable: noise won.
Curation is the opposite bet. It says the person who finds signal in the noise, who identifies what matters before the crowd, should capture value from that judgment.
That's what Intuition is built for. Not rewarding volume. Rewarding good taste.
Share one source you trust, and what makes it worth your attention.
Rohan Paul@rohanpaul_ai
New @AIatMeta paper explains when a smaller, curated dataset beats using everything. Standard training wastes effort because many examples are redundant or wrong. They formalize a label generator, a pruning oracle, and a learner. From this, they derive exact error laws and sharp regime switches. With a strong generator and plenty of data, keeping hard examples works best. With a weak generator or small data, keeping easy examples or keeping more helps. They analyze 2 modes, label agnostic by features and label aware that first filters wrong labels. ImageNet and LLM math results match the theory, and pruning also prevents collapse in self training. ---- Paper – arxiv. org/abs/2511.03492 Paper Title: "Why Less is More (Sometimes): A Theory of Data Curation"
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@ActionModelAI A lot of people don’t realize how much passive data they’re giving away just by existing online. At the same time, it makes me wonder where the line is between “using a service” and actually contributing value that should be compensated.
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Stewart Bake retweetledi
Here’s a secret AI companies don’t want you to know:
You’re already working for them.
Every click.
Every task.
Every online interaction.
Training their AI. For free.
They build trillion-dollar systems.
You don’t own a single piece.
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