📣 Bezos on the power shift from marketing to product

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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🎬 The ultimate AI toolkit for video creators — in one link

We found a goldmine for content creators: a browser-based platform with every top AI video tool in one place.

🔸 Text-to-video, subnoscripts, noise removal, face cloning — it’s all here
🔸 Supports trending models like Veo 3, Minimax, Kling, and more

👉 Save your dream video editor 👈

Perfect for creators who want speed, quality — and less post-production pain.

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🔍 ChatGPT agent controls live cam, finds boat on request

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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🧪 PlayerZero is building an immune system for your code

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.

🔸 Learns from past incidents, patches, and test cases
🔸 Suggests auto-fixes directly in pull requests
🔸 Designed for complex monorepos and legacy systems
🔸 Hooks into CI/CD in minutes
🔸 Used by teams like Zuora to monitor billing infra
🔸 Just raised $15M from the likes of Databricks' founder and Vercel’s CEO

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 lands $150M to expand its AI fleet platform to the UK

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 serves 100,000 customers and 1.3M drivers, with nearly $500M ARR
🔸 AI detects risky driving with 4x better accuracy than competitors
🔸 Clients report 80% fewer accidents and up to 2,000% ROI
🔸 Platform covers safety, compliance, maintenance, and fraud prevention in one dashboard
🔸 The funding will accelerate global rollout, R&D in India, and UK go-to-market efforts

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 drops its first open AI model since GPT‑2

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.

🔸 GPT‑OSS 120B matches o4-mini in reasoning benchmarks
🔸 GPT‑OSS 20B runs on a laptop and rivals o3-mini
🔸 Supports chain-of-thought reasoning and tool use
🔸 Full commercial use allowed under a permissive license
🔸 Designed for transparency, privacy, and autonomy
🔸 First OpenAI release meant to compete with LLaMA, DeepSeek, Qwen

👉 Try it here 👈

This is OpenAI’s biggest step back toward open AI — and it’s fast, free, and local.

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🖌 New image model drop: Qwen Image goes public (and free)

China just dropped a beast — Qwen Image, a free, open-source image generator that’s already turning heads.

🔸 Handles any style: realistic, stylized, cartoons, posters, comics
🔸 Understands prompts like ChatGPT — with strong visual-text alignment
🔸 Can edit images with precision (think Flux Kontext quality)
🔸 Preserves original style — no plastic mess, no hallucinated chaos
🔸 Fully open-source and no usage limits

👉 Test the model here 👈

This might be the strongest free image model yet.

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📊 Excel killer? Meet NanoCell — a blazing-fast, privacy-first spreadsheet tool

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.

🔸 Handles huge datasets, financial models, formulas, and visualizations — all lightning-fast
🔸No complex macros or formulas needed
🔸 Built with only the essentials — no bloat, no noise
🔸 Keeps all data intact — no auto-loss like some competitors
🔸 Runs fully on a static server — safe for sensitive docs, no data leaks

👉 Try it here 👈
Open-source on GitHub

One-click tables, no Excel pain.

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⚙️ How to build a voice-enabled second brain in 3 hours

Capture ideas in seconds and turn them into content, strategy, or action — without dashboards or overengineering.

Here’s how the setup works:

🔸 Use Voicenotes.com to record and transcribe voice memos
🔸 Connect Voicenotes to Make.com via Webhook
🔸 A Gemini 2.5 model classifies each note: content, business idea, observation, or reading
🔸 Notes are routed into Notion databases automatically
🔸 Content ideas trigger AI-generated LinkedIn drafts, sent to Typefully
🔸 Business ideas get enriched with SWOT analysis and action plans

Built with just four tools: Voicenotes, Make, Notion, and optional AI APIs. Total setup time: ~3 hours.

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🧠 GPT-5 is here — and it’s OpenAI’s biggest leap yet

OpenAI just released GPT-5, its most advanced AI model to date, and for the first time, it's available to all ChatGPT users — including those on the free plan.

The model is faster, more accurate, and more versatile across writing, coding, and even healthcare.

🔸 Outputs over 2,000 tokens/second — 5x faster than before
🔸 Hallucinations reduced, safer replies now use "safe completions"
🔸 Handles logic, reasoning, and long documents far better than GPT-4
🔸 Free users get GPT-5 Mini after hitting usage caps
🔸 GPT-5 now integrated across Microsoft 365 Copilot and Azure

OpenAI also demoed “vibe coding” — generating full apps from prompts in seconds — showing just how far generative UX has come.

👉 Try GPT-5 now 👈

Altman calls it like having a team of PhDs in your pocket. Whether that’s hype or reality — GPT-5 is a major step toward AI you actually want to use.

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🚀 ByteDance unveils Seed Diffusion — a new diffusion-based language model

Instead of generating text token-by-token, Seed Diffusion creates the entire output at once — similar to how image models like Midjourney work.

🔸 Outperforms Google and Inception Labs in most benchmarks
🔸 Key edge: speed — over 2,000 tokens/sec, 5.4× faster than standard models
🔸 Open for free testing: Seed Studio

A major leap in generation architecture — and a serious play from ByteDance in the AI race.

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✍️ 4 lessons from Microsoft Copilot's AI mess

Despite leading in enterprise software, Microsoft’s Copilot rollout shows what not to do in AI product design. Broken context, poor UX, and generic tooling are symptoms of deeper design failures — and they’re avoidable.

Here are four hard-earned lessons:

🔸 Meet users where they are
Copilot assumes one-size-fits-all. Power users get frustrated, novices get lost. Its Teams integration works because it automates boring tasks within familiar workflows. But Word, Excel, and Outlook? Slow, confusing, inconsistent.

🔸 Context is everything
Copilot fails to account for app versions, user settings, or data environments. Great AI tools like Cursor thrive because they start narrow, respect user context, and expand carefully. Copilot ignores that, and it shows.

🔸 Design for failure
AI will mess up — the question is how gracefully. Copilot offers no useful feedback loops. Unlike Replit, which previews agent output early, Copilot delivers errors late and opaque. No trust, no iteration.

🔸 Avoid overreach
Microsoft tried to bolt “AI” onto everything without clarity or purpose. Copilot often tells users how to do things, rather than just doing them. A good AI product solves one real task completely — not 10 vaguely.

The irony? Microsoft owns GitHub Copilot — a well-scoped product loved by devs. But its enterprise AI tools feel more like a press release than a real solution.

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🔍 Perplexity caught bypassing website indexing rules

Cloudflare has flagged Perplexity for evading site-level restrictions by using disguised crawlers. When blocked via robots.txt, it reportedly switches to a browser-masked bot to continue scraping content.

🔸 Perplexity now excluded from Cloudflare’s trusted bots list
🔸 Website owners can block it directly via Cloudflare settings
🔸 Cloudflare shared technical details of Perplexity’s cloaked crawler

The move raises fresh questions about AI data ethics — and how long these blocks will even work.

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