Unsupervised Learning

Aravind Srinivas, CEO and Co-Founder of Perplexity AI, talks about the birth and future of Perplexity, its potential as a Google competitor, and what search will look like in 10 years. They also discuss the challenges of being viewed as a 'wrapper' for OpenAI, the future of Quora and Wikipedia, and the potential regulation of AI. OpenAI's changing direction and the challenges of developing accurate search results are also discussed.

In a special episode, the firing of Sam Altman, former CEO of OpenAI, is discussed with a focus on the implications for AI startups and the winners of recent developments. The guests analyze the resignation of Greg Brockman, discuss the impact on the AI landscape and companies, and delve into the broader implications for the AI industry and government perception.

Linus Lee, an AI engineer at Notion, shares behind-the-scenes stories of one of the most widely used AI tools today. Topics include developing AI products, staffing, educating users, challenges in building Notion Q&A, partnerships with Anthropic and Open AI, iterating on interfaces, and over-hyped/under-hyped AI features.

Erik Bernhardsson, founder of Modal Labs, discusses the AI chip market, popular GenAI use cases, Oracle Cloud's resurgence, challenges for AI developers, GPU access today, Vector DB companies, slow cloud adoption, AI music generation, over-hyped/under-hyped topics, and what Erik wishes he knew when starting Modal.

Dario Amodei, CEO of Anthropic, discusses his predictions for the future of AI, including AGI, in 2024 and beyond. He shares his thoughts on AI safety, bias reduction, responsible scaling, and the potential risks and benefits of AI technology. They also touch on the formation of Anthropic, their business focus, and their responsible scaling plan for AI models. Dario emphasizes the importance of interpretability and steerability in training models and discusses the challenges and risks associated with AI technology.

Tome CEO Keith Peiris discusses disrupting PowerPoint, AI tourists, hardware costs, enterprise scale, pricing strategies, and over/under-hyped projects. Co-hosts provide insights on building enterprise products, model evaluation, and favorite Tome projects.

Jerry Liu, CEO of LlamaIndex, discusses building enterprise-ready LLM applications and agents. Topics include retrieval augmented generation, the right level of abstraction for LlamaIndex, and underutilized features. They also touch on the pros and cons of fine-tuning, encoding external data, and naming decisions.

Jordan and Erica sit down with Andriy Mulyar, Founder & CTO of Nomic AI, and discuss his motivation for creating GPT4ALL, the importance of data-centric AI, the use of LLMs in video games, and which technology companies are well positioned to “win” in the GenAI market long term. 0:00 intro0:59 getting into AI and meeting Brandon2:27 starting Nomic7:43 how people are using Atlas10:31 hallucinations in LLMs13:05 gpt4all17:25 building LLMs into video games26:31 where does Nomic go from here?37:39 Apple’s role in the LLM space38:57 Andriy’s thoughts on AGI40:41 over-hyped/under-hyped42:13 AI regulation going forward With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq’d by VMWare) @jordan_segall - Partner at Redpoint

Patrick and Jacob sit down with Alexandru Costin, the VP of Generative AI and Sensei at Adobe, and discuss how Adobe’s early projects with generative AI in 2019 helped them move quickly upon the release of LLMs and diffusion models. Before leading Adobe’s generative AI efforts he founded InterAKT, a web development company, and led Adobe Romania for 10 years. 00:00 intro01:44 Adobe Romania and background02:26 AI projects at Adobe10:03 incorporating AI into existing products16:34 educating Adobe’s user base25:13 avoiding copyright issues with Ai-generated content32:12 using customer feedback40:30 what is the right way to structure an AI team?45:11 pricing AI products48:00 the future of Adobe With your co-hosts: @jasoncwarner - Former CTO GitHub, VP Eng Heroku & Canonical @ericabrescia - Former COO Github, Founder Bitnami (acq’d by VMWare) @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @jordan_segall - Partner at Redpoint

Alex Ratner, CEO of Snorkel AI, discusses the growth of Snorkel, importance of data development in AI, barriers to enterprise AI adoption, and the role of academia in AI progress. Topics include avoiding errors in pre-training, enterprise AI deployment challenges, future AI regulation, and over-hyped AI models.