In episode 64 of The Gradient Podcast, Daniel Bashir speaks to Richard Socher.Richard is founder and CEO of you.com, a new search engine that lets you personalize your search workflow and eschews tracking and invasive ads. Richard was previously Chief Scientist at Salesforce where he led work on fundamental and applied research, product incubation, CRM search, customer service automation and a cross-product AI platform. He was an adjunct professor at Stanford’s CS department as well as founder and CEO/CTO of MetaMind, which was acquired by Salesforce in 2016. He received his PhD from Stanford’s CS Department in 2014.Have suggestions for future podcast guests (or other feedback)? Let us know here!Subscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on TwitterOutline:* (00:00) Intro* (02:20) Richard Socher origin story + time at Metamind, Salesforce (AI Economist, CTRL, ProGen)* (22:00) Why Richard advocated for deep learning in NLP* (27:00) Richard’s perspective on language* (32:20) Is physical grounding and language necessary for intelligence?* (40:10) Frankfurtian b******t and language model utterances as truth* (47:00) Lessons from Salesforce Research* (53:00) Balancing fundamental research with product focus* (57:30) The AI Economist + how should policymakers account for limitations?* (1:04:50) you.com, the chatbot wars, and taking on search giants* (1:13:50) Re-imagining the vision for and components of a search engine* (1:18:00) The future of generative models in search and the internet* (1:28:30) Richard’s advice for early-career technologists* (1:37:00) OutroLinks:* Richard’s Twitter * YouChat by you.com* Careers at you.com* Papers mentioned* Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions* Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank* Grounded Compositional Semantics for Finding and Describing Images with Sentences* The AI Economist* ProGen* CTRL Get full access to The Gradient at thegradientpub.substack.com/subscribe

Richard Socher, ein führender KI-Experte, und Dinah Pfau, Wissenschaftlerin am Deutschen Museum in Berlin, diskutieren die faszinierende Geschichte der Künstlichen Intelligenz. Sie beleuchten, wie antike Mythen moderne Technologien beeinflussen und welche Rolle Frauen wie Ada Lovelace in der KI-Entwicklung spielten. Zudem geht es um ethische Herausforderungen, die durch Deepfakes und Gesichtserkennung entstehen, sowie um die Zukunft von KI in der Gesellschaft und deren Einfluss auf Kreativität und Arbeitsplätze.

Richard Socher, a serial entrepreneur and AI pioneer, shares his transformative views on AI's impact, likening it to the Industrial Revolution and the Renaissance. He delves into the complexities of AI agents, the potential for hybrid AI architectures, and the evolving landscape of You.com. Socher discusses the Jevons Paradox and how AI's rising efficiency is reshaping industries. He also reflects on the challenges faced during early deep learning research and his current investment strategies in AI startups, highlighting the future of collaboration between humans and AI.

Richard Socher discusses the rise of AI chatbots, You.com's various modes, including Research mode, and the Brave search API. They explore building an AI-powered search engine, enhancing search capabilities through user behavior analysis, and the future of AI-driven search engines. The conversation also touches on the future of AI, societal impact, and protein manipulation in medicine for treating brain cancer cells.

Richard Socher, Founder and CEO of You.com, discusses his journey into the AI field, the importance of model size, and the value accrual between startups and incumbents in the AI race.

Richard Socher, Douwe Kiela, and Alex Lebrun discuss the importance of model size and data size in AI. They explore the impact of larger models and the significance of training data. The value accrual in AI startups is highlighted, along with the importance of feeding accurate data to language models for improved reasoning capabilities. They also discuss ML AI investments and the challenges of competing in the AI space.

Dr. Kai-Fu Lee, a leading AI entrepreneur and author, and Richard Socher, CEO of you.com, dive deep into the future of AI beyond GPT models. They discuss AI's transformative role in industries like film and healthcare, emphasizing the balance of human creativity and digital superintelligence. The duo explores AI's potential in protein synthesis and its implications for medicine, alongside the evolving dynamics of AI investment. They also offer career insights for aspiring professionals navigating this rapidly changing landscape.

Today we’re joined by Richard Socher, the CEO of You.com. In our conversation with Richard, we explore the inspiration and motivation behind the You.com search engine, and how it differs from the traditional google search engine experience. We discuss some of the various ways that machine learning is used across the platform including how they surface relevant search results and some of the recent additions like code completion and a text generator that can write complete essays and blog posts. Finally, we talk through some of the projects we covered in our last conversation with Richard, namely his work on Salesforce’s AI Economist project. The complete show notes for this episode can be found at twimlai.com/go/582

Richard Socher, renommierter KI-Forscher, spricht über den Aufbau einer KI-Firma, Tools Auswahl, Finanzen und Energiemanagement für Gründer. Diskussion über interne vs. externe Tools, gesunde Unternehmensführung, Mentoren Bedeutung und tryu.com Nutzung für Start-ups.

Richard Socher, Founder and CEO of You.com, dives into the exciting world of AI, revealing how language models are reshaping industries. He discusses the evolution of prompt engineering and its impact on search productivity. Socher emphasizes the dual nature of AI's rapid growth, presenting both challenges and opportunities for businesses. From the complexities of AI consciousness to the economics driven by AI, he outlines the transformative potential across sectors, urging adaptability in education and investment strategies.