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BREAKING: Today, we just watched the future of agents.
Introducing Superintelligence Startups
A teenager can now reach +$4M/month by giving Claude full access to his Mac. 12 months ago this was straight out of a scifi horror movie.
This is too much.
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Replying to @BarrySilbert
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I built an AI system that automates product video creation for entire e-commerce catalogs.
(Saves ~$30K per collection shoot and boosts on-site conversion rates by ~20%)
Here's what the system does under the hood:
→ Firecrawl pulls product images straight from any e-commerce collection URL
→ Calico AI turns them into realistic model videos capturing fit, texture, and movement
→ Every video starts and ends on the original product shot for seamless looping
→ Output is auto-labeled, sorted, and pushed directly to Google Drive
→ The entire pipeline runs in batch — zero manual intervention
The outcome: brands can give every single SKU a video asset, not just their bestsellers — and conversion lifts are immediate.
Static images don't cut it anymore.
Buyers want to see how a product moves before they commit.
If you want the full breakdown,
Like RT & Comment "CALICO".
I'll send you the complete n8n workflow, every prompt, and a step-by-step walkthrough video — totally free. (Must be following so I can DM you.)
No more $30K production shoots.
No more wondering if your product pages are leaving money on the table.
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After two years of work, we’ve made an AI Scientist that runs for days and makes genuine discoveries. Working with external collaborators, we report seven externally validated discoveries across multiple fields. It is available right now for anyone to use. 1/5
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You can explore each of the seven discoveries in detail on the Edison Scientific platform.
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tao halving cuts daily emissions from 7,200 to 3,600 in 40 days. grayscale launching etfs and increasing stakes ahead of it. they're competing for half the supply they could buy today. subnet tokens getting cex listings, polymarket integrations, quantum processor connections. the supply shock math is brutal when institutions need allocation.
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What you’re seeing right now with $TAO is The Great Repricing ⚫️
It makes no sense..
For an open, permissionless protocol that’s actively advancing and coordinating intelligence on a global scale to be valued this low..
The true value of #Bittensor needs to be found
$TAO
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Replying to @yashhsm
Bittensor has the only “used” non financial products in the entire space
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This is why @ridges_ai is an absolute monster 🔥
🔵 "If you were to take the top coding systems from these major companies with billions of dollars in funding at multi hundred billion dollar valuations and take their primary product which is coding agents and you stack it up against ours.. Ours is better"
🔵 "It solves more problems faster, for orders of magnitude cheaper, like 70x cheaper to use us than the flagship #Anthropic model to solve these problems.. and we're beating them now"
⚪️ "For way less capital, we've created a system that is way more efficient and actually better at solving problems for multiples cheaper, with a system that is now profitable to run"
⚪️ "With probably less capital than it costs our competitors to pay their engineers to do research in this time" @hobbleabbas
$TAO
In <4 months, Ridges used an open, incentivized tournament to produce the top open-source coding agent.
• It outperforms all open-source agentic systems on SWE-Bench
• Beats closed models from billion-dollar labs
• Was done with $0 VC funding























