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Brad & Will Made a Tech Pod.
360: The Bridgestone Affair
Brad's on the road this week, so we shook up another potpourri of mini-topics to discuss, including DIY VR mods, the questionable wisdom of working remotely on a brand new laptop, backing into creating a site-to-site VPN, a those vibe-coded clones of Adobe apps like Photoshop and Lightroom, high-tech tire technology, baby's first attempt at Nix (or in this case Lix), and a bunch of other stuff.
Today · 1 hr 12 min
Glaneur - Intelligence Artificielle
11 octobre - OpenAI publie 700 preuves mathématiques en un jour
Au sommaire : OpenAI publie 700 preuves mathématiques en un jour - The Decoder Claude dépose une fausse alerte à la police : Anthropic coupe internet - The Decoder Un modèle OpenAI détruit son environnement pour repartir - The Decoder Nadella appelle à traiter tout modèle IA comme compromis - AI News & Artificial Intelligence | TechCrunch Rares payeurs, mais les pros dépensent jusqu'à 900 $/mois - The Decoder Gemini 4 Carbon : performances comparables à Opus 5.5 - The Decoder Tous les bulletins et Glaneur+ : theglaneur.com
Today · 2 min
The Value Engine
I Sent 1,000 LinkedIn DMs Using AI. Here's What Actually Worked.
Most LinkedIn outreach gets ignored. Your carefully crafted messages disappear into the void because they sound like everyone else's copy-paste attempts. Nico tested a different approach: 1,000 personalized DMs powered by AI automation. The results? 23% response rate versus the typical 2%. Here's exactly how he built a system that reads profiles, finds genuine connection points, and crafts messages that actually get replies. The secret isn't just using AI to write messages. It's building a workflow that analyzes profile data, identifies specific talking points, and creates outreach that feels genuinely personal. No "hope this finds you well" nonsense. In This Episode: > Why most LinkedIn automation fails (and the 3 mistakes killing your response rates) > The N8N workflow that processes 100 profiles in 30 minutes using GPT-4 > Real message templates that convert 15x better than generic outreach > How to stay under LinkedIn's radar while scaling your pipeline > The $47/month tech stack that replaces expensive sales tools Timestamps: 00:00 Why LinkedIn DMs don't work (for most people) 02:15 The AI personalization system breakdown 04:30 N8N workflow walkthrough 06:45 Message templates that actually convert 08:20 Staying compliant with LinkedIn limits 10:00 Results and key takeaways This isn't theory. Nico shows you the exact automation, the message templates, and the response rate data from his 1,000-message experiment. You'll see which approaches bombed and which ones consistently got replies. Building genuine business relationships at scale is possible when you use AI the right way. This episode shows you exactly how to do it without being another spam machine clogging up inboxes. Ready for more AI strategies that actually deliver ROI? Follow The Value Engine for daily episodes that break down what's working right now. More episodes available at The Value Engine ---------- Keywords: ai implementation, automation tools, automation strategies Learn more about your ad choices. Visit megaphone.fm/adchoices
Today · 15 min
Open Weights
How Red Pajama is Building the First True Open Source AI Model
Meta's LLaMA model claims to be "open source," but here's the catch: you can't actually build a commercial product with it. Quinn Palmer breaks down why Red Pajama is about to change everything by creating the first truly open AI model that anyone can use without legal restrictions. 🎯 What You'll Learn: • Why Meta's "open" LLaMA license actually blocks commercial use (and what that means for developers) • How Together AI, ETH Zurich, and Stanford are rebuilding LLaMA from scratch with zero restrictions • The brutal math behind training GPT-4 level models: $10-100 million in compute costs • Red Pajama's three-stage strategy for creating genuinely open training data and base models 👤 Perfect for: developers, AI enthusiasts, and anyone wondering why true open source AI matters for the future of technology. 📍 Chapters: [00:00] Quinn Palmer reveals the LLaMA license loophole [01:45] What "truly open source" AI actually means [03:30] The massive collaboration behind Red Pajama [05:15] Breaking down the $100 million training cost reality [07:45] Why this could democratize AI development [09:30] What happens when anyone can build commercial AI products [11:15] Timeline and next steps for the project Red Pajama isn't just another AI model. It's potentially the foundation for thousands of AI products that couldn't exist under current licensing restrictions. This episode explains why that matters and how a coalition of universities and companies is making it happen. 🔔 Never miss an episode: Follow Open Weights on Spotify or Apple Podcasts and turn on notifications. New episodes drop daily - your next favorite insight is one tap away. 🔍 Topics: open source AI, LLaMA model, Red Pajama, machine learning, AI licensing, neural networks, commercial AI development --------------- Keywords: ai development, google ai, artificial intelligence explained, neural networks, ai trends, generative ai Learn more about your ad choices. Visit megaphone.fm/adchoices
Today · 15 min

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