Bonus Episode: OpenAI Vs Microsoft, Google Gemma, Coreweave Founders Pullout $500M Before IPO

A deep dive into AI investments, Microsoft’s battle with OpenAI, CoreWeave’s rapid rise, and the latest in AI models, plus some industry hot takes and plenty of laughs.

You can gain access to this bonus episode for 15% discount at patreon.com/svic .

Join our 120 member private discord at patreon.com/svic

Check out a clip from yesterday’s bonus episode: https://youtu.be/AiRUVgTBHHg

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Show hosts Joe (Eng VP) and Jordan (M&A Deal Lead) worked at various companies from Google, Apple, Facebook, Microsoft, Salesforce, Slack, Carta, Splunk, Wealthfront, Adobe, and more.
#ai #openai

00:00 – Introduction and welcome to the podcast
01:06 – Growing podcast support and community shoutouts
02:22 – Reacting to a viral AI video
03:51 – CoreWeave’s rise and upcoming IPO
05:15 – The CEO of Anthropic and AI industry rankings
07:32 – How much AI investment is actually happening?
08:51 – Comparing the AI boom to the dot-com bubble
10:43 – Amazon, Nvidia, and missed investment opportunities
11:55 – The reality of AI expectations vs. reality
12:26 – AI’s impact on engineering and job security
13:50 – Five-year AI predictions – realistic or too ambitious?
16:02 – Engineers refusing to use AI tools – are they falling behind?
17:32 – The evolution from autocomplete to “vibe coding”
20:36 – Microsoft’s AI ambitions and struggles
23:14 – CoreWeave’s IPO controversy – founders cashing out early
26:25 – Nvidia’s deep involvement in CoreWeave’s success
29:04 – Corporate VC, conflicts of interest, and strategic investments
33:34 – OpenAI signs a $12 billion deal with CoreWeave
35:51 – Microsoft’s tensions with OpenAI and their backup plans
38:23 – The challenge of developing foundation models in-house
42:02 – Microsoft’s AI unit under Mustafa Suleyman – struggling to deliver
45:49 – Apple’s AI delays and their lack of a real AI strategy
47:36 – Asana’s massive stock drop – why it was doomed from the start
51:12 – The end of standalone productivity apps in the enterprise space
53:57 – The rise and fall of Asana – a case study in overvaluation
54:47 – Google’s new AI model, Gemma 3 – what’s new and why it matters
56:44 – Advances in AI efficiency and smaller training requirements
59:34 – The future of AI development – transparency vs. secrecy
1:00:29 – AI spotting errors in research papers – the next big thing?
1:00:55 – Closing thoughts and community support shoutouts
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