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Today @Ate-A-Pi is joined by Hrishi Olickel, co-founder of Greywing, a copilot to master maritime data. The conversation explores the importance of latency and accuracy in AI systems, the connection between user experience and perceived intelligence, and the challenges of testing and iterating AI models and the value of human evaluation.
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Recommended Podcast: Company Breakdowns
Each episode of Company Breakdowns dives into S-1s and series B-and-beyond companies, interviewing founders and investors to break down the companies. First episode is on Rubrik - which just IPO'd. Coming up this season: Databricks, Reddit + more,
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(00:00) Introduction to Greywing
(06:36) From security services to crewing
(11:16) Using AI in Graywing's products
(29:16) Services offered by open source providers
(32:16) Generating documentation from uploaded documents
(37:56) The connection between latency, accuracy, and user experience
(41:24) The value of human evaluation in improving AI models
(47:19) The future of AI agents and the need for better tools
(49:37) The potential of client-side models in AI
(54:21) Patterns of user behavior in AI systems
(1:02:33) Building trust in AI systems -
Blake Anderson is the founder of Umax, a popular iPhone app with over 3.5 million downloads that allows a user to "glow up" or looksmaxx.
—
Recommended Podcast: Company Breakdowns
Each episode of Company Breakdowns dives into S-1s and series B-and-beyond companies, interviewing founders and investors to break down the companies. First episode is on Rubrik - which just IPO'd. Coming up this season: Databricks, Reddit + more,
Spotify
Apple
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FOLLOW ON X:
@8teAPi (Ate)
@blakeandersonw (Blake)
@TurpentineMedia
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(00:00) Introduction to Umax
(04:35) Understanding looksmaxxing
(07:09) App launch and initial success
(22:08) On building something truly novel
(26:09) Effective app marketing
(29:17) Umax audience demographics
(37:33) Transition from Plug AI to Umax
(44:02) Moderation barriers in AI applications
(51:53) Experience at HF0
(56:30) Message to future self -
Fehlende Folgen?
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Alan Cowen, founder of Hume AI, an empathic AI research lab, joins @Ate-A-Pi to chat about the AI models developed by Hume that understand more than just language. These models can detect emotions in voices and faces and generate responses based on the detected emotions.
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Recommended Podcast: Company Breakdowns
Each episode of Company Breakdowns dives into S-1s and series B-and-beyond companies, interviewing founders and investors to break down the companies. First episode is on Rubrik - which just IPO'd. Coming up this season: Databricks, Reddit + more,
Spotify
Apple
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FOLLOW ON X:
@8teAPi (Ate)
@AlanCowen (Alan)
@hume_ai
@TurpentineMedia
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(00:00) Introduction to Hume and its AI models
(08:26) Controlling emotions in vocalization
(15:25) Alan Cowen's research on emotion
(33:31) Semantic space theory and emotion definition
(45:34) The tension between reason and emotion
(52:48) Emotions in animals
(1:01:37) The future of generating authentic video
(01:10:35) The loss of information in virtual communication
(01:18:28) Differentiating Hume from other AI models, and the future of Hume -
Yacine Brahimi, founder of the AI-powered meme and image generator Dingboard, joins @Ate-A-Pi to chat about making meme creation quick and efficient.
—
Recommended Podcast: Company Breakdowns
Each episode of Company Breakdowns dives into S-1s and series B-and-beyond companies, interviewing founders and investors to break down the companies. First episode is on Rubrik - which just IPO'd. Coming up this season: Databricks, Reddit + more,
Spotify
Apple
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FOLLOW ON X:
@8teAPi (Ate)
@yacineMTB (Yacine)
@TurpentineMedia
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(00:00) Introduction and background of Dingboard - features, Photoshop, etc.
(10:56) The power of memes and democratizing image editing
(16:15) Dingboard's impact and virality
(22:47) The game of memes on Twitter
(31:28) The future of AI spam filters
(36:30) Writing on Twitter
(42:51) Competition and motivation
(50:27) The unique position of Dingboard
(01:03:49) The future of anime creation
(01:07:45) The decentralization of culture
(01:14:39) The future of Dingboard -
Ego co-founders Vishnu H. and Peggy Wang join @Ate-A-Pi to dive into the world of 3D avatars and worlds.
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Recommended Podcast: Company Breakdowns
Each episode of Company Breakdowns dives into S-1s and series B-and-beyond companies, interviewing founders and investors to break down the companies. First episode is on Rubrik - which just IPO'd. Coming up this season: Databricks, Reddit + more,
Spotify
Apple
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FOLLOW ON X:
@8teAPi (Ate)
@ego_avatars (Ego)
@TurpentineMedia
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(00:00) Introduction and background
(08:09) Using the Ego app
(11:32) The vision for the game engine
(25:06) Choosing an AI model for NPCs
(34:18) Creating dynamism and unpredictability in gameplay
(39:39) Enabling player-character relationships and adventures
(47:48) Moderation and safety
(58:09) The profound aspects of self-avatar creation
(01:07:36) The founding journey of Ego -
Prophetic AI co-founders Eric Wollberg and Wesley Berry join @Ate-A-Pi to dive into how they're using AI to facilitate lucid dreaming.
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FOLLOW ON X:
@8teAPi (Ate)
@weslouis_ (Wes)
@EricWollberg (Eric)
@TurpentineMedia
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(00:00) Introduction and background
(04:12) Understanding lucid dreaming
(28:46) Inspiration and development of Prophetic AI
(37:59) Prophetic AI's technology
(57:22) Tutorial and initial experiences
(01:09:00) Regulation, future development, and v2
(01:15:20) Building for neuromodulation, testing -
Dylan Patel and @Ate-A-Pi discuss the semiconductor industry, AI, and the future of the internet.
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FOLLOW ON X:
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@dylan522p (Dylan)
@TurpentineMedia
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(00:00) Introduction and background
(01:56) Knowledge of the semiconductor sector
(08:14) The role of creators in the new internet
(12:36) On impact of AI and Neuralink
(20:30) Wow moments in AI
(27:51) The $7 trillion news
(36:18) Discussing the cost of training GPT models
(48:29) Competition in the AI hardware market
(56:56) Nvidia's strategy to stay ahead
(01:03:02) The need for timely purchases in AI
(01:07:00) The engineering marvel of semiconductor manufacturing
(01:11:46) Efficiency and cost reduction in semiconductor manufacturing
(01:20:56) Defining Artificial General Intelligence (AGI)
(01:21:16) Predictions on the achievements of AGI