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TechCrunch Daily Crunch
Meta’s Muse is outpacing ChatGPT’s early mobile launch
Plus - Anthropic releases Opus 5.5 with lower prices and Fable-level performance; TikTok’s US arm joins Lantern, a cross-platform child safety initiative Learn more about your ad choices. Visit podcastchoices.com/adchoices
Today · 8 min
NatSec Tech
Can AI See What Doctors Can't?
In this episode of NatSec Tech, Jeanne sits down with Dr. Nina Kottler, practicing radiologist and Chief Medical AI Officer at Mosaic Clinical Technologies. They discuss why AI hasn't yet transformed radiology despite the hype, how vision-language foundation models are changing that — with some 65,000 exams a day now drafted by AI under research protocol — and what it means for radiologists to shift from dictating reports to supervising them. Kottler also explains how AI could predict cancer yea
Today · 23 min
The Pragmatic Embedded Podcast
The Big Rename: From Agile to Pragmatic
After five years and 101 episodes, we're doing something we never thought we'd do: renaming the podcast. The Agile Embedded Podcast is now the Pragmatic Embedded Podcast: having the title reflect where we've been heading for quite a while.
Today · 16 min
The Value Engine
The Upwork Mistake Costing You $240K Per Year (Fix This Now)
While most freelancers waste 3 hours daily hunting for Upwork jobs that ghost them, one smart automation builder cracked the code to generate $20K monthly using Make.com's AI-powered filtering system. In this episode, Nico Hartwell breaks down the exact automation that turns Upwork into a predictable income machine. 🎯 What You'll Learn: • The Make.com workflow that filters 500+ daily job posts down to 12 perfect matches in under 2 minutes • How GPT-4 analyzes job requirements and auto-generates personalized proposals that convert at 40% • The 3-step vetting system that identifies clients who actually pay (and avoids the time-wasters) • Why targeting $50+ hourly jobs with this automation beats chasing $10 gigs by 2,400% 👤 Perfect for: AI enthusiasts who want to see automation generate real money, not just save time on busywork. 📍 Chapters: [00:00] Nico Hartwell reveals the $240K opportunity cost of manual job hunting [01:45] Inside the Make.com automation that processes 1,000+ integrations daily [04:15] How one freelancer went from $3K to $20K monthly using AI job filtering [07:00] The GPT-4 prompt that writes proposals clients can't ignore [09:30] Red flags this system automatically flags to avoid nightmare clients [11:00] Setting up your own Upwork money machine in under 30 minutes The average Upwork freelancer applies to 50 jobs to land one client. This system flips those odds completely. You'll see the actual Make.com workflows, the GPT prompts, and the spreadsheet proving $240K in annual opportunity cost when you do this manually. 🔔 Never miss an episode: Follow The Value Engine on Spotify and turn on notifications. New episodes drop daily, your next favorite insight is one tap away. 🔍 Topics: Make.com automation, Upwork freelancing, AI job filtering, GPT-4 proposals, workflow optimization More episodes available at The Value Engine ------------ Keywords: workflow automation, machine learning business, business process automation, automation strategies, automation agency, ai automation Learn more about your ad choices. Visit megaphone.fm/adchoices
Today · 13 min

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