Technology

Every show filed under technology, ranked by what listeners actually play.

4,789
shows: 0
subcategories: 1
new this week

Most subscribed

audio · in technology · refreshed hourly

Newest episodes

audio · last seven days

AI What's Up News
2026-10-11 AIニュース
本日のトピック: 1. 情報リサーチや資料作成からプログラミングまでこなすタスク自動化AI「Gemini Agent」をGoogleが発表 2. Metaが提案する、AIエージェントに単に計算資源を与えるだけでは不十分な理由 3. H-JEPAは世界モデルに複数レベルの抽象化による計画立案を学習させる 4. Anthropicがオープンソースプロジェクト向けの無料AIセキュリティスキャンサービス「OSS Scanner」を提供開始 5. 〔アングル〕日韓で不正アクセスの「じゅうたん爆撃」、ＡＩ使いサイバー攻撃が手軽に
Today · length unknown
Unboxed
Firefly Video Changes Everything: 5 Ways It Breaks the Industry
Adobe just dropped Firefly Video and content creators are about to have a very different problem: too much power, not enough time to use it all. This isn't another "AI will replace editors" story. Firefly Video does something more interesting: it handles the tedious stuff so you can focus on the creative decisions that actually matter. James Caldwell breaks down five specific ways this changes how video gets made, from podcast production to YouTube channels. The standout feature? Natural language color grading that understands context. Tell it "make this feel more cinematic and moody" and it processes your footage accordingly. But the real game-changer is how it analyzes podcast transcripts and automatically pulls relevant B-roll from Adobe's stock library. No more scrolling through thousands of generic office shots. In This Episode: > How Firefly's music generation creates legally original tracks from 200,000+ licensed samples > Why automatic B-roll selection works better than keyword search > The object recognition system that matches 10,000+ types to contextual sound effects > What natural language editing means for small creators vs. production houses > Where this fits in Adobe's broader AI strategy (and why timing matters) Timestamps: 00:00 Introduction to Firefly Video 02:15 Natural language color grading demo 04:30 Automatic B-roll selection explained 07:00 AI music generation breakdown 09:20 Object recognition and sound matching 11:45 What this means for creators The technical specs matter, but the workflow changes matter more. After this episode, you'll know exactly which features save time and which ones are still marketing fluff. Follow Unboxed for daily AI breakdowns that actually affect your work. New episodes drop multiple times daily because AI moves fast, and someone needs to keep up. Learn more about your ad choices. Visit megaphone.fm/adchoices
Today · 13 min
The Value Engine
Agencies Waste $96K Per Year on This $2K Automation Mistake
Most agencies waste $96,000 annually building the same $2,000 automation projects over and over instead of turning them into recurring revenue SaaS businesses. It's the difference between fishing once and owning the lake. The no-code platform market just hit $13.2 billion with 28% annual growth, and tools like Lovable can deploy functional web apps in under 24 hours. While traditional agencies keep selling one-off projects, smart operators are packaging their automation expertise into subscription products that generate 3x more lifetime value. In This Episode: > Why the $2,000 automation mindset keeps agencies stuck in feast-or-famine cycles > How to identify which client projects can become standalone SaaS products > Real case study: turning a simple lead scoring system into a $15K/month recurring revenue stream > Using Lovable and other no-code tools to build without a development team > The three-step process for transitioning from service provider to software company Nico breaks down the specific tech stack and pricing model that lets you launch your first SaaS product within 30 days using existing client work as your foundation. Plus, he shares the revenue math that proves why recurring subscriptions beat project fees every time. Timestamps: 00:00 Introduction 02:15 The $96K agency waste problem 04:30 Case study: Lead scoring to SaaS 07:45 No-code implementation strategy 10:20 Pricing and revenue models 12:00 Next steps for agencies This isn't about building software from scratch. It's about recognizing the automation patterns you're already creating and packaging them into products that sell themselves. Follow The Value Engine for daily episodes on turning AI implementations into measurable business results. More episodes available at The Value Engine ------- Keywords: ai roi, machine learning business, automation mistakes, ai workflows, ai entrepreneurship, ai transformation, make.com, ai implementation Learn more about your ad choices. Visit megaphone.fm/adchoices
Today · 14 min
Open Weights
How Google Bard and ChatGPT Actually Work: Complete Performance Breakdown
Want to know which AI actually wins when you put them head to head? Quinn Palmer tested Google Bard against ChatGPT across 8 real scenarios, and the results might surprise you. Spoiler: it's not as clear cut as the internet makes it seem. 🎯 What You'll Learn: • Why ChatGPT crushed Bard in 6 categories but still isn't the obvious winner • The one task where Bard completely destroys ChatGPT (hint: it's not what you think) • Real examples of both models failing at basic math that a calculator handles instantly • How to pick the right AI for your actual needs instead of just following the hype 👤 Perfect for: anyone using AI tools who wants to stop guessing and start choosing the right one for each job. You'll finally understand why your ChatGPT prompts sometimes fall flat and when switching to Bard might actually save you time. Quinn breaks down the technical stuff without the jargon, so you get actionable insights instead of another boring comparison chart. 📍 Chapters: [00:00] Quinn Palmer reveals the shocking test results [01:45] Mathematical reasoning: where both AIs embarrass themselves [03:30] Coding challenges: ChatGPT's biggest strength exposed [05:15] Why Bard wins at summarization (and it's a big win) [07:00] Creative writing face-off: personality vs polish [09:30] Information accuracy: both models have serious blind spots [11:00] Your decision framework: which AI for which task 🔔 Never miss an episode: Follow Open Weights on Spotify or Apple Podcasts and turn on notifications. New episodes drop daily, your next AI breakthrough is one tap away. 🔍 Topics: ChatGPT, Google Bard, AI comparison, machine learning performance, artificial intelligence tools ------------- Keywords: neural networks, anthropic ai, generative ai, ai development Learn more about your ad choices. Visit megaphone.fm/adchoices
Today · 14 min