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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 AI Twitter’s Reaction to Grok 3
00:17 - Welcome to the SVIC Podcast with Jordan and Joseph
00:38 - Discussion on Grok 3 and DeepSeek
02:14 - AI Model Naming Trends and Specmanship
03:07 - Hype Around AI Model Releases and Real User Benefits
04:30 - Cross-Pollination of Ideas in AI and the Medici Effect
05:43 - Google’s AI Strategy and Slow Product Integrations
06:46 - AI Safety Concerns and Industry Competition
08:37 - Missed AI Opportunities at Google and Corporate Hesitations
09:25 - AI Assistants in Healthcare and Workplace Meetings
11:09 - Google’s Hesitation in Launching AI Features
12:32 - Founders’ Influence on Product Decisions and Risk-Taking
14:00 - The Debate Over Default Settings in Tech Products
16:15 - Viewer Comments and Super Chats
17:37 - Andrej Karpathy’s Quick Analysis of Grok 3’s Performance
18:48 - The Impact of Grok 3 on AI Competition
19:58 - Discussion on XAI’s Supercluster and AI Scalability
21:07 - AI Moats: Technology vs. Financial Barriers
21:49 - Final Thoughts and Call to Subscribe

A deep dive into AGI predictions, AI competition, China’s tech crackdown, Apple’s AI struggles, and the first-ever all-drone battlefield attack in Ukraine.

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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

⏰ Time Codes:
00:00 - AGI predictions keep changing
00:12 - Why an AI CEO prediction tracker would be useful
00:38 - Welcome to the podcast!
01:24 - YouTube algorithm changes and content creators struggling
02:01 - Frustrations with Google Chrome updates
02:29 - DeepMind’s CEO now says AGI in 5-10 years
03:30 - The myth of constant AI progress
05:00 - Why AGI predictions keep getting delayed
06:33 - The unpredictability of tech beyond a few years
07:24 - From AI ethics debates to kinetic weapons discussions
09:22 - How tech giants manage long-term projects
10:09 - Is DeepMind’s CEO trying to sound more credible?
10:36 - AI-powered drones and modern warfare

A deep dive into AGI predictions, AI competition, China’s tech crackdown, Apple’s AI struggles, and the first-ever all-drone battlefield attack in Ukraine.

You’re missing 50% of our content, head to patreon.com/svic and join! Enter promo code STPATRICK for 25% discount!

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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

⏰ Time Codes:

00:00 - Predicting AGI: CEOs Keep Pushing Back Timelines
00:51 - Should We Track AI Predictions in a Leaderboard?
02:12 - Google’s Demis Hassabis Predicts AGI in 5-10 Years
03:40 - Why Do AI Predictions Keep Changing?
06:07 - The Unpredictability of Tech: Lessons from GPT’s Rise
07:42 - Nvidia’s Dominance and the AI Arms Race
11:00 - OpenAI vs. Anthropic: Competing AI Visions
13:04 - Dario Amodei’s Bold Predictions on AI Coding Jobs
15:08 - Will AI Replace Engineers in 3-6 Months?
18:07 - China’s Chip Industry: Are US Sanctions Backfiring?
20:24 - Dario’s Argument for AI Dominance & US Chip Controls
22:58 - The Hypocrisy of AI Companies Complaining About IP Theft
25:15 - China’s DeepSeek: From Open Research to National Treasure
30:07 - Apple’s AI Delays: Why Siri Is Still Struggling
35:12 - Losing AI Talent: China’s Passport Crackdown
40:15 - Apple’s AI Strategy Falling Behind Rivals
50:34 - The First All-Drone Battle in Warfare History
53:19 - Coordinated AI Warfare: The Future of Combat
55:25 - Why Drone Warfare Will Only Get Faster & More Lethal

You’re missing 50% of our content, head to patreon.com/svic and join! Enter promo code STPATRICK for 25% discount!

A deep dive into Tesla’s struggles under Elon’s leadership, and how CEO controversies impact businesses in competitive vs. monopoly-like markets.

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Videos mentioned:
https://www.youtube.com/watch?v=RDiWci5V_Dg&ab_channel=SVICPodcast

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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 - The wild backstory of the MyPillow founder
00:37 - Welcome to the SVIC podcast
00:56 - Do monopolies allow CEOs to get away with political stunts?
02:10 - Analyzing the risks of CEO political engagement
03:45 - The MyPillow case: How political controversy tanked a business
05:11 - Quick reminder to like and subscribe
05:20 - Tesla’s political misalignment and its impact on sales
07:05 - Competitive markets vs. monopolies: How brand loyalty plays a role
08:45 - Uber and Papa John’s: How controversy hurt their market share
10:30 - Does CEO-driven branding make a company more vulnerable?
12:15 - Cambridge Analytica, Meta, and the resilience of monopolies
14:00 - Chick-fil-A’s controversy vs. its loyal customer base
16:30 - Elon Musk’s constant political involvement: A risky move?
18:45 - Tesla’s stock performance and long-term brand damage
21:10 - Comparing CEO controversies across different industries
23:05 - Can Tesla recover from its declining reputation?
25:20 - Upcoming Patreon bonus topics: AI, Nvidia, Apple, and more
27:10 - Final thoughts and exclusive Patreon discounts

We React To Mike Israetel: A deep dive into the myths and realities of AGI, AI alignment, and the evolving landscape of artificial intelligence.

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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

⏰ Time Codes:
00:00 - Debunking AGI doom predictions
00:31 - Welcome to the podcast
00:51 - Mike Isretel’s take on AI and intelligence
01:21 - AI doom discussions in 2023-2024
01:48 - Comparing human intelligence to AGI
02:25 - Is AI doom just human projection?
03:01 - AI’s lack of competitive instincts and resource conflicts
04:07 - The future of AGI and self-improvement
05:20 - AI as a tool for human prosperity
05:51 - Ian Banks’ Culture series and AI’s potential role
06:16 - AGI as a digital god with no conflict
06:33 - Game theory and AGI’s decision-making
07:24 - AI has no interest in human resources or territory
08:06 - Upcoming topics: AI leaders, export controls, and DeepSeek
08:31 - How to support the podcast and upcoming content

You’re missing 50% of our content, head to patreon.com/svic and join!
Join our 120 member private discord at patreon.com/svic

Lex Fridman’s interview with Narendra Modi: AI, India’s tech landscape, and the global AI race, with insights on Modi’s interview, regulatory challenges, and the future of AI innovation.

Videos mentioned:
https://www.youtube.com/watch?v=RDiWci5V_Dg&ab_channel=SVICPodcast

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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
00:51 - Discussing Lex Fridman’s interview with Modi
02:16 - Board games, Warhammer, and virtual gaming
03:13 - Shoutout to Patreon supporters and premium episodes
04:31 - How did Lex Fridman land the Modi interview?
06:42 - Breaking down Modi’s AI example and its implications
07:52 - Why did Modi use a translator?
08:56 - The EU’s AI regulations and America’s role in AI
10:07 - India’s position in AI development and its global impact
12:31 - India’s rapid technological growth and challenges
13:52 - The missing pieces in India’s AI and tech stack
15:27 - AI’s impact on Indian software engineers and outsourcing
16:55 - China’s aggressive AI strategy and talent control
18:30 - Playing Modi’s Paris AI Summit speech
20:26 - AI efficiency, power consumption, and future optimization
21:56 - Europe’s energy crisis and its impact on AI development
23:17 - China’s long-term AI strategy compared to the West
24:19 - Modi’s leadership philosophy and organizational structure
26:51 - Bureaucracy, information control, and leadership strategies
29:57 - The challenge of navigating enterprise sales and bureaucracy
31:33 - AI, automation, and the changing role of engineers
32:51 - The decline of AI ethicists and public perception of AI
33:39 - Will long-form podcast interviews become the norm for politicians?
34:08 - Closing thoughts and upcoming content

You’re missing 50% of our content, head to patreon.com/svic and join!
Join our 120 member private discord at patreon.com/svic

Lex Fridman’s interview with Narendra Modi: AI, India’s tech landscape, and the global AI race, with insights on Modi’s interview, regulatory challenges, and the future of AI innovation.

Videos mentioned:
https://www.youtube.com/watch?v=RDiWci5V_Dg&ab_channel=SVICPodcast

Svicpodcast.com: For Questions, Book recs, Videos, Newsletters, etc.
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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
00:51 - Discussing Lex Fridman’s interview with Modi
02:16 - Board games, Warhammer, and virtual gaming
03:13 - Shoutout to Patreon supporters and premium episodes
04:31 - How did Lex Fridman land the Modi interview?
06:42 - Breaking down Modi’s AI example and its implications
07:52 - Why did Modi use a translator?
08:56 - The EU’s AI regulations and America’s role in AI
10:07 - India’s position in AI development and its global impact
12:31 - India’s rapid technological growth and challenges
13:52 - The missing pieces in India’s AI and tech stack
15:27 - AI’s impact on Indian software engineers and outsourcing
16:55 - China’s aggressive AI strategy and talent control
18:30 - Playing Modi’s Paris AI Summit speech
20:26 - AI efficiency, power consumption, and future optimization
21:56 - Europe’s energy crisis and its impact on AI development
23:17 - China’s long-term AI strategy compared to the West
24:19 - Modi’s leadership philosophy and organizational structure
26:51 - Bureaucracy, information control, and leadership strategies
29:57 - The challenge of navigating enterprise sales and bureaucracy
31:33 - AI, automation, and the changing role of engineers
32:51 - The decline of AI ethicists and public perception of AI
33:39 - Will long-form podcast interviews become the norm for politicians?
34:08 - Closing thoughts and upcoming content

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

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Instagram: https://www.instagram.com/svicpodcast
Spotify: https://podcasters.spotify.com/pod/show/svicpodcast

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

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

Svicpodcast.com: For Questions, Book recs, Videos, Newsletters, etc.
patreon.com/svic

Follow us:
Threads: www.threads.net/@svicpodcast
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Instagram: https://www.instagram.com/svicpodcast
Spotify: https://podcasters.spotify.com/pod/show/svicpodcast

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
⏰ Time Codes:

You’re missing 50% of our content, head to patreon.com/svic and join!

A breakdown of Manus AI, its connection to DeepSeek, its reliance on Claude 3.7, and how it navigates challenges in AI execution and marketing.

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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 overview of Manus AI
00:25 - Manus’ origins and connection to DeepSeek
01:10 - Nvidia’s revenue and Singapore’s role in AI orders
02:05 - Speculation on AI hardware smuggling into China
03:00 - DeepSeek’s training costs and GPU procurement
03:45 - The role of Claude 3.7 in powering Manus
04:30 - Manus’ marketing strategy and business potential
05:15 - Technical breakdown of Manus’ sandbox environment
06:00 - AI agent orchestration and multi-agent systems
06:45 - Challenges faced by Manus, including CAPTCHA issues
07:30 - Final thoughts on AI assistants and industry impact
08:13 - Reminder to like, subscribe, and comment