Skip to content

Technology

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

4,790
shows
0
subcategories
2
new this week

Most subscribed

audio · in technology · refreshed hourly

Newest episodes

audio · last seven days
  • 脈報

    Codex 200 美元方案額度砍半,做完的事卻可能多 5 倍?關鍵在哪一個數字

    OpenAI 調整 Codex 200 美元方案的用量算法,主講者實測新制一個月約 2,000 美元用量,舊制最多可換 12,000 美元。同一時間推出的 GPT-6.1 Soul 在用量大致相同時成本降超過 10 倍,額度縮水可能被任務單價吃回來。 ⭐ 文章深度讀:Codex 200 美元方案額度砍半!換算任務單價可能更划算 → https://heymaibao.com/codex-200-plan-usage-halved-5c3d29/ ⚡ 章節重點 收緊的 AI 吃到飽 00:00 砍半的高價方案額度 00:34 高價訂閱這塊招牌 02:27 便宜新模型與任務單價 02:55 燒掉好感的發佈順序 05:12 補貼縮水後的選法 05:53 📝 懶人包 ∙ 舊制下 Codex 的 200 美元方案,一個月最多能換 12,000 美元用量。 ∙ 主講者自測新制一週 570 美元,換算一個月約 2,000 美元。 ∙ 主講者重跑 Terminal Bench,每題 Opus 5.5 是 13.11 美元,GPT-6.1 Soul 是 0.96 美元。 ∙ 我的觀點:砍額度還算得通,同時端出史上最貴的選項才燒掉好感。 📚 參考資料 Does the $200 Codex plan suck now? → https://youtu.be/nYA0yASgaZI

    Today · 6 min
  • Unboxed

    Why Sam Altman's GPT-4 Update Will Disrupt Your Job This Year

    GPT-4 just scored in the 90th percentile on the bar exam. That's better than most actual lawyers. OpenAI's latest model isn't just a text upgrade. It can analyze images, maintain longer conversations without losing its train of thought, and it's 40% more likely to give you accurate information. But here's what most people are missing: this isn't just about chatbots getting smarter. This is about AI crossing into professional-level reasoning. Felix breaks down the numbers that actually matter. We're talking about a system that went from 10th percentile to 90th percentile on professional exams in one iteration. That's not incremental improvement. That's a fundamental shift in what AI can do. In This Episode: > Why GPT-4's image processing changes everything for data analysis > The real implications of AI scoring better than 90% of lawyers > How longer context windows affect business applications > What this means for knowledge workers in 2024 You'll understand exactly why this update has tech leaders scrambling to rethink their AI strategies. Felix explains the technical improvements without the jargon, plus what it means for anyone whose job involves processing information. Timestamps: 00:00 Introduction 02:30 GPT-4 vs GPT-3.5 performance breakdown 05:15 Image processing capabilities explained 07:45 Why context length matters more than you think 10:20 Job market implications and what's next The AI race just accelerated. Don't get left behind wondering what happened. Follow Unboxed for daily episodes that keep you ahead of the curve without drowning you in technical complexity. Multiple new episodes drop daily. --------- Keywords: ai applications, technology news, ai ethics, tech podcast, ai bias, tech explained, ai for beginners, artificial intelligence Learn more about your ad choices. Visit megaphone.fm/adchoices

    Today · 16 min
  • The Value Engine

    Why Adobe Stock Just Dropped 12% (The AI Tool They Didn't See Coming)

    Adobe just lost $30 billion in market cap overnight. The reason? A handful of AI tools that can do what video editors charge $75 an hour for. OpusClip processes over 2 million hours of video monthly, automatically finding viral moments and creating social media clips without human intervention. What used to take editors 3-4 hours per episode now happens in 8 minutes. And here's the kicker: the AI-generated clips are getting 23% more engagement than human-edited ones. The math is brutal for traditional video editing. Podcasters using AI clipping tools generate 15-50 clips per episode compared to 2-5 clips with manual editing. At $20-50 monthly for unlimited processing versus $200-400 per episode for human editors, the ROI calculation isn't even close. In This Episode: > How OpusClip's algorithm identifies viral moments using speech pattern analysis > Real numbers from podcasters who switched: 400% more content, 60% lower costs > Why AI clips outperform human edits (the engagement data will surprise you) > The specific prompt engineering tricks that improve clip quality by 40% Nico breaks down the technical architecture behind these tools and explains why traditional editing workflows are becoming obsolete. He also shares the exact AI clipping strategy his consultancy uses to help clients generate 200+ pieces of social content monthly. This isn't about replacing creativity. It's about automating the tedious parts so human editors can focus on high-value strategic work. Timestamps: 00:00 Adobe's $30B market cap drop explained 02:15 OpusClip's viral moment detection algorithm 04:30 Real podcast ROI numbers: AI vs human editing 07:45 Prompt engineering for better clip quality 09:20 What this means for video editors Follow The Value Engine for daily AI implementation case studies with actual ROI data. Nico drops new episodes every day. More episodes available at The Value Engine ---------- Keywords: automation roi, automation podcast, automation mistakes, ai roi Learn more about your ad choices. Visit megaphone.fm/adchoices

    Today · 12 min
  • Open Weights

    ChatGPT Prompts: How to Write Instructions That Actually Work

    95% of people write ChatGPT prompts that get terrible results. Quinn Palmer breaks down the exact formula that turns your vague requests into precise instructions that actually work. Stop getting wishy-washy responses that miss the mark completely. The difference between "write me a blog post" and a prompt that delivers exactly what you need comes down to four simple elements that most people never learn. Quinn walks through the proven structure that works 80% of the time, plus the advanced techniques that can boost your accuracy by 32%. 🎯 What You'll Learn: • The 4-part prompt framework that works for almost everything • Why "think step by step" improves ChatGPT's reasoning by 25% • How few-shot examples can transform mediocre outputs into gold • The output format trick that gets you 60% more usable responses 👤 Perfect for: anyone who's ever gotten frustrated with ChatGPT giving you generic fluff instead of what you actually asked for. 📍 Chapters: [00:00] Quinn Palmer reveals why most prompts fail [01:45] The 4-part structure that works 80% of the time [04:15] Few-shot prompting: show don't tell examples [06:30] The "step by step" hack that boosts accuracy [08:45] Output formatting that gets better results [10:30] Advanced techniques for complex tasks [12:15] Your prompt writing action plan 🔔 Never miss an episode: Follow Open Weights on Spotify or Apple Podcasts and turn on notifications. New episodes drop daily with fresh AI insights you can actually use. 🔍 Topics: ChatGPT prompts, AI prompting techniques, prompt engineering, GPT optimization, conversational AI --- Keywords: ai news daily, python ai, ai development Learn more about your ad choices. Visit megaphone.fm/adchoices

    Today · 14 min

Audio in Technology4,612