In-depth discussion on GPT-5’s rollout, technical improvements, competitive landscape, and its broader impact on AI, coding, privacy, and industry trends.👉Don't miss our hundred hours of bonus episodes and our discord community, we release one new one every wednesday! We’re giving away 1 month of access to our bonus content (Deep Dives into IPOs, M&A Activity, private interviews, reactions and more!) and Discord—no credit card, no strings. Grab it here: svicpodcast.com/gift or subscribe on Youtube: https://www.youtube.com/@svicpodcast/join🔗 Follow SVIC:• Twitter: https://x.com/JWthib• Substack: https://svic.substack.com• Patreon: patreon.com/svic💼 Need help with a deal or career move?Contact Jordan at: https://intro.co/jordanthibodeau🛠 Sponsors:• Gamma – The AI slide deck builder Jordan actually uses → https://try.gamma.app/SVIC • Joe’s Coffee (UCC Black): https://amzn.to/44TU2ZP• Jordan’s Secret Weapon for Weight Loss: https://amzn.to/43OvVcT🎙 Hosted by Joe (Eng VP) & Jordan (M&A Deal Lead), former operators at Google, Apple, Slack, Facebook, and more.Subscribe for real talk on AI, tech, and business — no hype, just hommies talking tech and having fun.00:00 - Intro and framing today’s GPT-5 discussion00:45 - Why the launch presentation felt underwhelming to some02:25 - Comparing GPT-3 → GPT-4 vs GPT-4 → GPT-5 progress03:10 - Removal of model selection and quality-of-life improvements04:38 - Balancing simplicity for users vs control for experts06:48 - “Model does everything” philosophy and future UI changes08:15 - API parameters, thinking time, and scaffolding collapse11:14 - Revealing model thoughts and fixing language inconsistencies13:19 - Why language switching happens in thinking models16:26 - Targeted improvements in coding and health domains18:24 - Calls for personalization, memory, and real-time learning20:37 - AI adoption challenges inside corporations22:44 - Coding demos as “shots fired” at Lovable, Bolt, and similar tools25:24 - How scaffolding and integrations give coding tools an edge26:38 - OpenAI bundling strategy vs specialized competitors28:30 - ChatGPT as an OS-level productivity layer31:46 - Viewer story: GPT diagnosing health issues and privacy concerns33:06 - Sam Altman’s interview on health data in ChatGPT35:20 - Legal privilege parallels for AI confidentiality37:40 - Balancing risk of bad advice vs benefits for underserved users38:29 - AI offsetting skill gaps in design and engineering41:08 - HIPAA-compliant ChatGPT and privacy contradictions42:31 - Microsoft Copilot upgrades from GPT-544:19 - Cursor CEO at launch event and Anthropic competition45:16 - Zuckerberg’s AI hiring spree and Anthropic valuation surge47:00 - Talent departures from OpenAI to Meta before GPT-548:15 - Expectations for Ilya’s next move and model performance49:27 - How reasoning models and inference-time scaling fit in53:31 - RL training strategies using challenging questions55:35 - Code generation as a closed feedback loop56:21 - Nuclear safety and other high-value long-run reasoning use cases57:22 - AI, data centers, and regulatory alignment59:37 - Trump pressuring Intel CEO over China ties1:01:25 - Speculation on Intel, TSMC, and U.S. semiconductor strategy1:03:31 - GPT-5 rollout updates from Sam Altman1:04:40 - Closing remarks and next live stream schedule