Eigent is a new app that lets you build a squad of AI agents to handle work tasks for you — like NPCs, but productive. Think of it as a plug-and-play stack of paid neural networks, working for you in the background.
This isn’t just another AI toy — it’s a quiet power-up for anyone drowning in digital busywork.
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In his bid to build the ultimate AI dream team, Mark Zuckerberg reportedly offered ex-Meta engineer Andrew Tulloch a staggering $1.5B deal to return — a 4-year package of salary, equity, and performance bonuses.
But Tulloch said no
Zuck offered a fortune. Tulloch bet on more.
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Media is too big
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In a 2012 interview, Jeff Bezos predicted a major change in how companies should think:
Word-of-mouth is more powerful than it has ever been before.
He argued that the old playbook — 70% marketing, 30% product — was dying.
In the past, you could win with a mediocre product if your marketing was strong enough.
But in the age of social media and instant feedback?
If I build a great product or service, my customers will tell each other.
Bezos’ takeaway: focus relentlessly on product. In a world where people talk, quality sells itself.
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We found a goldmine for content creators: a browser-based platform with every top AI video tool in one place.
Perfect for creators who want speed, quality — and less post-production pain.
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A ChatGPT-powered agent was given access to a public webcam overlooking a marina — and asked to locate a specific boat.
It moved the camera, zoomed in, scanned the docks… and found it.
The line between digital agents and physical tasks is getting thinner by the day.
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Most tools try to speed up developers. But bottlenecks often sit elsewhere — like in QA. That’s where PlayerZero steps in: AI agents that detect and fix bugs before production, trained on your repo’s history.
Fun fact: the founder demoed it to the creator of Next.js — who didn’t believe it at first, but then invested.
While tools like Cursor’s Bugbot chase AI code review, PlayerZero goes for the full loop: detect → explain → fix.
And they’re betting on enterprise complexity as the wedge.
QA might be the next frontier for AI agents.
If devs write fewer bugs — and agents catch the rest — what’s left for the human tester?
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Motive, the AI-powered platform transforming physical operations for fleets and equipment, has raised $150M in new funding led by Kleiner Perkins. The company is now expanding into the UK to help solve challenges in logistics, safety, and driver shortages.
Motive’s edge lies in precision at scale — using AI trained on billions of miles to drive real-world impact across the global physical economy.
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OpenAI has released GPT‑OSS, its first open-weight model family in over six years. It includes a 120B and 20B version — both available under Apache 2.0, optimized for local use, and surprisingly powerful.
This is OpenAI’s biggest step back toward open AI — and it’s fast, free, and local.
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China just dropped a beast — Qwen Image, a free, open-source image generator that’s already turning heads.
This might be the strongest free image model yet.
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A new tool just dropped that might be the cleanest Excel alternative we’ve seen — NanoCell, built by a veteran analyst for speed, simplicity, and control.
One-click tables, no Excel pain.
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Capture ideas in seconds and turn them into content, strategy, or action — without dashboards or overengineering.
Here’s how the setup works:
Built with just four tools: Voicenotes, Make, Notion, and optional AI APIs. Total setup time: ~3 hours.
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Before Apple Pay, Stripe, or embedded checkout, there were paper vouchers, magnetic stripes, and punched cards. This short timeline shows how payments evolved — from forgotten wallets to biometric tokens.
From punched cards to payment tokens, this is what 110 years of financial UX looks like.
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