a16z partners Justine Moore and Anish Acharya discuss their AI Abundance Agenda and investment pillars in AI. They explore topics such as AI as a major platform shift, AI-enabled content generation for consumers, challenges in the consumer prosumer space, and the potential of AI in highly regulated industries like financial services and healthcare.

Dr. Michael Levin, Distinguished Professor of Biology at Tufts University, discusses embodied minds, limb regeneration, collective intelligence, and the blurring distinction between life and machines in this engaging episode.

Max Bennett, author of A Brief History of Intelligence, discusses the five major breakthroughs in evolution leading to human brains and cognition. Topics explored include the emergence of multicellular organisms, the evolution of brains, the role of dopamine and serotonin, trial and error learning, the development of the mammal brain, energy efficiency, and understanding primate abilities and brain function.

Yohei Nakajima, GP at Untapped Capital and Creator of BabyAGI, returns to the show to analyze his TEDAI Talk on collective intelligence, identity, and using AI to understand one another. They discuss learning from fictional characters, expert mixing, Assistance API, AI chatbots in the workplace, identity and growth of organizations, and exploring AI's potential to bridge gaps.

In this episode, Nathan sits down with Sander Schulhoff, Cofounder and CEO of Learnprompting.org. They discuss the business model, the keys to prompting that every user of language models should know, negative prompting, prompt hacking, and more. If you need an ecommerce platform, check out our sponsor Shopify: https://shopify.com/cognitive for a $1/month trial period.LINKS:- Learnprompting.org: https://learnprompting.org/- Learnprompting.org Prompt Hacking: https://learnprompting.org/docs/category/-prompt-hacking- Ignore This Title and Hackaprompt: https://arxiv.org/abs/2311.16119SPONSORS:The Brave search API can be used to assemble a data set to train your AI models and help with retrieval augmentation at the time of inference. All while remaining affordable with developer first pricing, integrating the Brave search API into your workflow translates to more ethical data sourcing and more human representative data sets. Try the Brave search API for free for up to 2000 queries per month at https://brave.com/apiShopify is the global commerce platform that helps you sell at every stage of your business. Shopify powers 10% of ALL eCommerce in the US. And Shopify's the global force behind Allbirds, Rothy's, and Brooklinen, and 1,000,000s of other entrepreneurs across 175 countries.From their all-in-one e-commerce platform, to their in-person POS system – wherever and whatever you're selling, Shopify's got you covered. With free Shopify Magic, sell more with less effort by whipping up captivating content that converts – from blog posts to product descriptions using AI. Sign up for $1/month trial period: https://shopify.com/cognitiveOmneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention "Cog Rev" for 10% off www.omneky.comNetSuite has 25 years of providing financial software for all your business needs. More than 36,000 businesses have already upgraded to NetSuite by Oracle, gaining visibility and control over their financials, inventory, HR, eCommerce, and more. If you're looking for an ERP platform ✅ head to NetSuite: http://netsuite.com/cognitive and download your own customized KPI checklist.X/SOCIALS:@labenz (Nathan)@SanderSchulhoff@learnprompting@CogRev_PodcastTIMESTAMPS:(04:50) What is Learnprompting.org(06:30) Learnprompting.org's adoption stats and the transition from open source to a business(10:21) Are we done with prompt engineering or is there more to be discovered?The key 2-3 things every user of GPT should know(19:11) The format trick(21:32) Role casting / persona prompting(24:44) Does the level of vocabulary you bring to a LM impact its performance (26:10) Contrastive chain of thought(28:30) Language models responding well to negative instructions(32:29) Benchmarking techniques(34:00) Answer engineering(37:29) Debugging a prompt (41:13) Sander's favourite models todayBest practices for image prompting - maybe cut out(48:50) Productivity improvement with language models(51:25) Tips for coding with prompts(56:06) The current state of prompt engineering and how it'll evolve (58:30) 2024 will be the year of agents and Sander's favourite agents(59:57) How will agents impact the future of prompt engineering (1:04:10) How to start agent engineering(Adversarial attacks (1:19:40) Model to model hijacking(1:25:24) Chinese character attack (1:28:33) Taxonomy of attacksThis show is produced by Turpentine: a network of podcasts, newsletters, and more, covering technology, business, and culture — all from the perspective of industry insiders and experts. We’re launching new shows every week, and we’re looking for industry-leading sponsors — if you think that might be you and your company, email us at erik@turpentine.co.

Suhail Doshi, Founder of Playground AI, discusses the current state of AI image generation, advancements in AI understanding of video scenes and reasoning, limitations of language in conveying information, the evolution of art and imagery, advancements in text-to-image generation, future of AI and generative models, enabling accessible image creation and editing, understanding and supporting Greg Gregor Kowski's art, AI representation of copyrighted characters, and collaborative safety models for AI development.

Cecilia Zeniti, Founder & CEO of GC AI, discusses topics like IP law, fair use doctrine, and Google's patenting strategy around the transformer. They explore the legal challenges of generative AI, the complexities of intellectual property rights, and the pursuit of strong generalization in AI systems. The podcast also touches on the impact of open source on generative AI and highlights the progress and launch plans of GC AI.

Div Garg, CEO of Multion, discusses the future outlook of AI agents, including benchmarking tasks, consumer adoption, and predictions for personal bots. They explore the limitations of GPT-4, challenges in reinforcement learning, creating benchmarks, diffusion models, and potential business models.

Juan Sequeda, Principal Scientist and Head of AI Lab at data.world, discusses how knowledge graphs can be your organization's "brain" for AI, integrating structured and unstructured data, and benchmarking enterprise AI systems.

Gabe Gomes, Assistant Professor at Carnegie Mellon University, discusses Democratizing Scientific Knowledge using AI. They talk about Coscientist, the first non-organic, intelligent being to design, plan, and execute a chemistry experiment. They explore the benefits and concerns of using AI in science, the potential of AI in generating synthesis protocols, the value of automation in scientific research, and the democratization of scientific knowledge using AI.