Podcast appearances and mentions of tim hwang

Can Mistral make Europe a global AI contender? In episode 55 of Mixture of Experts, host Tim Hwang is joined by Chris Hay, Volkmar Uhlig and Kaoutar El Maghraoui to discuss the drop of Mistral Medium 3. Next, we analyze the AI chip sales both NVIDIA and AMD made to Saudi Arabia. Then, with IBM's new ITBench and OpenAI's HealthBench, we dive deeper into benchmarks for AI evaluation. Tune in to this week's Mixture of Experts for more! 00:01 – Intro 00:47 -- Mistral Medium 3 12:26 -- AI chips to Saudi Arabia 21:21 -- AI evaluation benchmarks 31:47 -- Amazon's AI-generated pause ads The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Has AI hallucination gotten out of control? In episode 54 of Mixture of Experts, host Tim Hwang is joined by Kate Soule, Skyler Speakman and Kaoutar El Maghraoui to analyze reasoning models and rising hallucinations. Next, as IBM Think 2025 wraps, the experts unpack the biggest highlights from IBM's biggest show of the year: new AI agents, Ferraris and ... penguins? Then, OpenAI is making moves with its acquisition of Windsurf. What does this mean? Tune in to this week's Mixture of Experts for more! 00:01 – Intro 01:12 – IBM Think 2025 09:27 – Reasoning models and hallucinations 19:23 – OpenAI Windsurf acquisition The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

We are celebrating MoE podcast's one year anniversary! In episode 53 of Mixture of Experts, host Tim Hwang is joined by the O.G. panel of experts from our pilot—Chris Hay, Shobhit Varshney and Kush Varshney. This week, we cover some exciting announcements at LlamaCon. Then, we discuss some new Chinese AI models from Qwen3 to the rumored DeepSeek-R2. Next, J.P. Morgan's CISO, Patrick Opet, released “An open letter to our third-party suppliers,” covering the need for AI security. Are we doomed? Finally, we look back at some of the topics we discussed in episode 1—the Rabbit AI device, GPT-2 chatbot, Apple Intelligence—after all that, who was the first person to say “agents” on the podcast? Tune in to find out, on today's one-year celebration of Mixture of Experts. 00:00 -- Intro00:38 -- LlamaCon10:34 -- Qwen3 and DeepSeek-R223:23 -- J.P. Morgan's open letter 39:45 -- One year of MoEThe opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Is OpenAI going to enter the social media game? In episode 52 of Mixture of Experts host, Tim Hwang is joined by Gabe Goodhart, Kate Soule and Marina Danilevsky. First, Sam Altman is rumored to be testing an internal prototype social network; why is this a potential next move for the AI giant? Next, for our paper of the week, we analyze Anthropic's study on chain-of-thought reasoning, “Reasoning Models Don't Always Say What They Think.” Then, AI scraping puts a strain on Wikimedia; what's the impact of this? Finally, China held a humanoid robot half-marathon, where humans raced alongside robot competitors. Who wins this AI race? All that and more on today's Mixture of Experts. 00:41 -- OpenAI social network 10:02 -- Anthropic's reasoning study 20:56 -- AI bots strain Wikimedia 31:33 -- Humanoid half-marathon The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

OpenAI just dropped o3 and o4-mini! In episode 51 of Mixture of Experts host, Tim Hwang is joined by Chris Hay, Vyoma Gajjar and special guest John Willis, Owner of Botchagalupe Technologies. Today, we analyze Sam Altman's new AI models, o3 and o4-mini. Next, Google announced that by Q3 you can run Gemini on-prem; what does this mean for enterprise AI adoption? Then, John is on the show today to take us through AI evaluation tools and why we need them. Finally, NVIDIA is planning to move AI chip manufacturing to the U.S. Can they pull this off? All that and more on today's Mixture of Experts. 00:01 – Intro 00:56 – OpenAI o3 and o4 mini 14:57 – Google Gemini on-prem 23:43 – AI evaluation tools 34:59 – NVIDIA's U.S. chip manufacturing The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

IBM z17 is here! In episode 50 of Mixture of Experts, host Tim Hwang is joined by Kate Soule, Shobhit Varshney and Hillery Hunter to debrief the launch of a new mainframe with robust AI infrastructure. Next, Meta dropped Llama 4 over the weekend;, how's it going? Then, Shobhit is recording live from Google Cloud Next in Las Vegas, along with Gemini 2.5 Pro. What are some of the most exciting announcements? Finally, the Pew Research Center shows perception of AI, how does this impact the industry? All that and more on today's 50th Mixture of Experts. 00:01 -- Intro 00:55 -- IBM z17 11:42 -- Llama 4 25:02 -- Google Cloud Next 2025 34:29 -- Pew's research on perception of AI The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Explore the new features of IBM z17: https://www.ibm.com/products/z17 Read the Pew Research: https://www.pewresearch.org/internet/2025/04/03/how-the-us-public-and-ai-experts-view-artificial-intelligence/ Subscribe for AI updates: https://ibm.biz/Think_newsletter Visit Mixture of Experts podcast page to learn more AI content: https://www.ibm.com/think/podcasts/mixture-of-experts

Will OpenAI be fully open source by 2027? In episode 49 of Mixture of Experts, host Tim Hwang is joined by Aaron Baughman, Ash Minhas and Chris Hay to analyze Sam Altman's latest move towards open source. Next, we explore Anthropic's mechanistic interpretability results and the progress the AI research community is making. Then, can Apple catch up? We analyze the latest critiques on Apple Intelligence. Finally, Amazon enters the chat with AI agents. How does this elevate the competition? All that and more on today's Mixture of Experts.00:01 -- Introduction00:48 -- OpenAI goes open 11:36 -- Anthropic interpretability results 24:55 -- Daring Fireball on Apple Intelligence 34:22 -- Amazon's AI agentsThe opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.Subscribe for AI updates: https://www.ibm.com/account/reg/us-en/signup?formid=news-urx-52120Learn more about artificial intelligence → https://www.ibm.com/think/artificial-intelligenceVisit Mixture of Experts podcast page to learn more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts

What's the best open-source model? In episode 48 of Mixture of Experts, host Tim Hwang is joined by Kate Soule, Kush Varshney and Skyler Speakman to explore the future of open-source AI models. First, we chat about the release of DeepSeek-V3-0324. Then, more announcements coming out of Google including Gemini Canvas and Gemini 2.5. Next, Extropic has entered the chat with a thermodynamic chip. Finally, AI image generation is on the rise as OpenAI released GPT-4o image generation. All that, and more on today's Mixture of Experts. 00:01 – Intro 00:42– DeepSeek-V3-0324 09:48 – Gemini 2.5 and Canvas 21:27– Extropic's thermodynamic chip 30:20 – OpenAI image generation The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

What's the most exciting announcement coming out of NVIDIA GTC? In episode 47 of Mixture of Experts, host Tim Hwang is joined by Nathalie Baracaldo, Kaoutar El Maghraoui and Vyoma Gajjar. First, we dive into the latest announcements from NVIDIA GTC, including the Groot N1 model for humanoid robotics. Next, Baidu released some new AI reasoning models, and they're not open source? Then, for our paper of the week we discuss the flaws of Chain-of-Thought reasoning. Finally, Gemini Flash 2.0 has released image generation models for developer experimentation., Iis Google catching up on the AI game? Tune -in to today's Mixture of Experts to find out! 00:01 – Intro 01:27– NVIDIA GTC 14:18– New Baidu AI models 21:19– Chain-of-Thought reasoning 32:18 – Gemini image generation The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Is Manus a second DeepSeek moment? In episode 46 of Mixture of Experts, host Tim Hwang is joined by Chris Hay, Kaoutar El Maghraoui and Vyoma Gajjar to talk Manus! Next, the rise of vibe coding—what started as a joke has now become a thing? Then, we dive deep into the future of scaling laws. Finally, Perplexity is teaming up with Deutsche Telekom to release an AI phone—what's the motivation here? Tune-in to today's Mixture of Experts to find out more! 00:01 – Intro 00:37 -- Manus 14:09 – Vibe coding 30:13 – Scaling laws 39:07 – Perplexity's AI phone The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

When can we expect quantum to reach consumer devices? In episode 45 of Mixture of Experts, host Tim Hwang is joined by special guest, Blake Johnson, to debrief the quantum noise in the news. Blake helps us understand the intersection between quantum and AI and how far we are from this technology. Then, veteran experts Chris Hay and Volkmar Uhlig hash out some other news in AI this week. We cover Anthropic's Model Context Protocol, CoreWeave filing for an IPO and Sesame AI's new voice companion. All that and more on today's Mixture of Experts! 00:01 – Intro 01:06 – Quantum leap 20:08 -- Model Context Protocol 28:24 -- CoreWeave IPO 40:12 -- Sesame AI voice companion The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Granite 3.2 is officially here! In episode 44 of Mixture of Experts, host Tim Hwang is joined by Kate Soule, Maya Murad and Kaoutar El Maghraoui to debrief a few big AI announcements. Last week we covered small vision-language models (VLMs), and this week Granite 3.2 dropped with new VLMs, enhanced reasoning capabilities, and more! Kate takes us under the hood to understand the new features and how they were created. Next, Anthropic dropped a new intelligence model, Claude 3.7 Sonnet, and a new agentic coding tool, Claude Code. Why did Anthropic release these separately? Then, as we cannot have an episode without covering agents, Maya takes us through the new BeeAI agents! Finally, can fine tuning on a malicious task lead to much broader misalignment? Our experts analyze a new paper released on ‘Emergent misalignment.' All that and more on this week's episode! 00:01 – Intro 00:41 – Claude 3.7 Sonnet 11:58 – BeeAI agents 20:11– Granite 3.2 29:23 – Emergent misalignment The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

What is all the hype around Deep Research? In episode 43 of Mixture of Experts, host Tim Hwang is joined by Kate Soule, Volkmar Uhlig and Shobhit Varshney. This week, we discuss reasoning model features coming out of companies like OpenAI's Deep Research, Google Gemini, Perplexity, xAI's Grok-3 and more! Next, OpenAI is rumored to release an inference chip, but how likely is this to be a success in the AI chip game? Then, we analyze the capabilities of small vision-language models (VLMs). Finally, a startup, Firecrawl, released a job posting in search of an AI agent. Is this the future for AI tools in the workforce? Tune-in to today's Mixture of Experts to find out. 00:01 – Intro 00:35 – Deep Research 11:58 – OpenAI inference chip 22:17 – Small VLMs 32:31 – AI agent job posting The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Live from Paris, Tim Hwang is at the AI Action Summit 2025. In episode 42 of Mixture of Experts, we welcome Anastasia Stasenko, CEO and Co-Founder of pleias along with our veteran experts Marina Danilevsky and Chris Hay. Last week, we touched on some potential conversations at the Paris AI Summit, this week we recap what actually happened. Is AI safety improving Globally? Next, for our paper of the week, we breakdown s1: Simple test-time scaling. Then, Sam Altman is back with another blog, “Three Observations,” what do our experts have to say? Finally, what can we learn from Anthropic's Economic Index? All that and more on today's Mixture of Experts. 00:01 – Intro 00:42 – Paris AI Summit 11:10 – s1: Simple test-time scaling 19:32 – Sam Altman's “Three Observations” 30:41 – Anthropic's Economic Index The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Resources:Read the paper about s1: Simple test-time scaling: https://arxiv.org/abs/2501.19393Read Sam Altman's "Three Observations": https://blog.samaltman.com/three-observationsRead Anthropic's Economic Index: https://www.anthropic.com/economic-indexRead more about AGI: https://www.ibm.com/think/topics/artificial-general-intelligence

What does Sam Altman have up his sleeve? In episode 41 of Mixture of Experts, join host Tim Hwang along with experts Nathalie Baracaldo, Marina Danilevsky and Chris Hay. Last week, we covered all things DeepSeek, and this week OpenAI has some new releases to share. Today, the experts dissect deep research and o3-mini. Next, our host Tim Hwang is travelling to AI Action Summit, he asks our experts what we can expect coming out of the event. Then, we talk about Anthropic's Constitutional Classifiers. Finally, Microsoft is creating a unit to study AI's impact, what does this mean? Find out all this and more on Mixture of Experts. 00:01 – intro 00:41 – Open AI deep research and o3-mini 13:51 – AI Action Summit 20:17 – Anthropic's Constitutional Classifiers 28:54 – Microsoft AI Impact team The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Subscribe for AI updatesLearn more about artificial intelligenceDeepSeek's reasoning AI shows power of small models, efficiently trainedVisit Mixture of Experts podcast page to learn more AI content

Let's bust some early myths about DeepSeek. In episode 40 of Mixture of Experts, join host Tim Hwang along with experts Aaron Baughman, Chris Hay and Kate Soule. Last week, we covered the release of DeepSeek-R1; now that the entire world is up to speed, let's separate the facts from the hype. Next, what is model distillation and why does it matter for competition in AI? Finally, Sam Altman among other tech CEOs shared his response to DeepSeek. Will R1 radically change the open-source strategy of other tech giants? Find out all this and more on Mixture of Experts. 00:01 – Intro 00:41 – DeepSeek facts vs hype 21:00 – Model distillation 31:21 – Open source and OpenAI The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

What does the future hold for DeepSeek? In episode 39 of Mixture of Experts, join host Tim Hwang along with experts Abraham Daniels, Kaoutar El Maghraoui and Skyler Speakman to discuss the release of DeepSeek-R1. Next, Mistral indicates going IPO. Then, FrontierMath's new benchmark is particularly difficult, the experts debrief. Finally, IDC released a report on code assistants, what do we need to know about generalist and specialized coding assistants? Tune-in to this week's episode to find out. 00:01 – Intro 01:08 – DeepSeek-R1 14:08 – Mistral indicates IPO 20:54 – FrontierMath controversy 30:04 -- IDC code assistants report The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

What would you do with $2 billion? In episode 38 of Mixture of Experts, join host Tim Hwang along with experts Chris Hay, Kaoutar El Maghraoui and Vyoma Gajjar to discuss the Anthropic valuation rumors. Next, Microsoft CEO Nadella created a new CoreAI group to build and run apps for customers. Then, NotebookLM upgraded some of its features, including podcast intervention. Finally, AI agents are making their way into the financial services industry. Can an agent invest all of your money? Tune-in to this week's episode to find out. 00:01 -- What would you do with $2 billion? 00:51 -- Anthropic valuation 12:14 -- Microsoft CoreAI 25:01 -- NotebookLM upgrades 35:17 -- AI agents in finance The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

As revelations about Meta's use of pirated books for AI training send shockwaves through the tech industry, the battle over copyright and AI reaches a critical juncture. In this final episode of The Dynamist's series on AI and copyright, Evan is joined by FAI's Senior Fellow Tim Hwang and  Tech Policy Manager Joshua Levine to discuss how these legal battles could determine whether world-leading AI development happens in Silicon Valley or Shenzhen.The conversation examines the implications of Meta's recently exposed use of Library Genesis - a shadow library of pirated books - to train its LLaMA models, highlighting the desperate measures even tech giants will take to source training data. This scandal crystallizes a core tension: U.S. companies face mounting copyright challenges while Chinese competitors can freely use these same materials without fear of legal repercussions. The discussion delves into potential policy solutions, from expanding fair use doctrine to creating new statutory licensing frameworks, that could help American AI development remain competitive while respecting creator rights.Drawing on historical parallels from past technological disruptions like Napster and Google Books, the guests explore how market-based solutions and policy innovation could help resolve these conflicts. As courts weigh major decisions in cases involving OpenAI, Anthropic, and others in 2024, the episode frames copyright not just as a domestic policy issue, but as a key factor in national technological competitiveness. What's at stake isn't just compensation for creators, but whether IP disputes could cede AI leadership to nations with fewer or no constraints on training data.

In the third installment of The Dynamist's series exploring AI and copyright, FAI Senior Fellow Tim Hwang leads a forward-looking discussion about how market dynamics, technological solutions, and geopolitics could reshape today's contentious battles over AI training data. Joined by Jason Zhao, co-founder of Story AI, and Jamil Jaffer, Executive Director of the National Security Institute at George Mason University, the conversation moves beyond current lawsuits to examine practical paths forward.The discussion challenges assumptions about who really stands to gain or lose in the AI copyright debate. Rather than a simple creator-versus-tech narrative, Zhao highlights how some creators and talents have embraced AI while others have shown resistance and skepticism. Through Story's blockchain-based marketplace, he envisions a world where creators can directly monetize their IP for AI training without going through traditional gatekeepers. Jaffer brings a crucial national security perspective, emphasizing how over-regulation of AI training data could threaten American technological leadership - particularly as the EU prepares to implement strict new AI rules that could effectively set global standards.Looking ahead to 2025, both guests express optimism about market-based and technological solutions winning out over heavy-handed regulation. They draw parallels to how innovations like Spotify and YouTube's Content ID ultimately resolved earlier digital disruptions. However, they warn that the US must carefully balance innovation and IP protection to maintain its AI edge, especially as competitors like China take a more permissive approach to training data. The episode frames copyright not just as a domestic policy issue, but as a key factor in national competitiveness and security in the AI era.

We've got another cross-post episode this week! Recently, Mike appeared on The Dynamist podcast from the Foundation for American Innovation for the second entry in a four-part series about copyright and artificial intelligence. He's joined by Alex Winter and Tim Hwang, and host Evan Swarztrauber, for a discussion about how artists, creators, and tech companies are navigating the rapidly changing AI landscape.

From the SAG-AFTRA picket lines to the New York Times lawsuit against OpenAI, the battle over AI's role in creative industries is heating up. In this second episode of The Dynamist's series on AI and copyright, we dive into the messy reality of how artists, creators, and tech companies are navigating this rapidly evolving landscape.Our guests bring unique perspectives to this complex debate: Mike Masnick, CEO of Techdirt, who's been chronicling the intersection of tech and copyright for decades; Alex Winter, the filmmaker and actor known for Bill & Ted's Excellent Adventure, who offers boots-on-the-ground insight from his involvement in recent Hollywood labor negotiations; and Tim Hwang, Senior Fellow at FAI, who explores how current legal battles could shape AI's future.The conversation covers everything from "shakedown" licensing deals between AI companies and media outlets to existential questions about artistic value in an AI age. While the guests acknowledge valid concerns about worker protection and fair compensation, they challenge the notion that restricting AI development through copyright law is either practical or beneficial. Drawing parallels to past technological disruptions like Napster, they explore how industries might adapt rather than resist change while still protecting creators' interests.

What's the most exciting CES AI announcement? In episode 37 of Mixture of Experts, host Tim Hwang is joined by Skyler Speakman, Volkmar Uhlig and Shobhit Varshney to debrief CES 2025. Specifically, the experts dive into NVIDIA'S Project DIGITS, among other announcements from the AI hardware giant. Next, a new enterprise AI development survey came out that detailing how developers really feel about AI implementation. Then, Apple Intelligence experienced some major hallucination fails, what does this tell us about Apple's stake in the AI game? Finally, Sam Altman of OpenAI released a reflection blog, what does he say about the future of AI? All that and more on today's Mixture of Experts.The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Is deep learning hitting a wall? It's 2025 and Mixture of Experts is back and better than ever. In episode 36, host Tim Hwang is joined by Chris Hay, Kate Soule and Kush Varshney to debrief one of the biggest releases of 2024, OpenAI o3. Next, DeepSeek-V3 is here! Finally, will AI exist in 2027? The experts dissect the AI bet between Miles Brundage and Gary Marcus. All that and more on the first Mixture of Experts of 2025.The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.00:00 — Intro00:49 — OpenAI o314:40 — DeepSeek-V328:00 — The Brundage/Marcus bet

Will 2025 be the year of AI agents? In Episode 35 of Mixture of Experts, host Tim Hwang is joined by some show veterans to debrief 2024 in AI. This week, we review AI models, agents, hardware and product releases with some of the top industry experts. What was the best model of 2024? Is NVIDIA king? What are some of the AI trends in 2025? All that and more on this special edition of Mixture of Experts.The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Is pre-training a thing of the past? In Episode 34 of Mixture of Experts, host Tim Hwang is joined by Abraham Daniels, Vagner Santana and Volkmar Uhlig to debrief this week in AI. First, OpenAI cofounder Ilya Sutskever said that “peak data” was achieved, does this mean there is no longer a need to model pre-training? Next, IBM released Granite 3.1 with a slew of features, we cover them all. Then, there is a new way to steal AI models, how do we protect against model exfiltration. Finally, can NVIDIA Jetson for AI developers really increase hardware accessibility? Tune-in for more!The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.00:01 — Intro00:49— Is pre-training over?10:25 — Granite 3.122:23 — AI model stealing33:38—NVIDIA Jetson

Is o1 Pro worth the cost? In Episode 33 of Mixture of Experts, host Tim Hwang is joined by Marina Danilevsky, Kate Soule and Vyoma Gajjar. First, the experts debrief the 12 Days of OpenAI. Next, we review some of the top papers in NeurIPS, how are the experts keeping up with all these research papers? Then, we are back with another benchmark, can ARC Prize make AGI more tractable? Finally, Meta announced the launch of Llama 3.3 70B with the promise of 405B performance, can we have our cake and eat it too? Find out more on today's Mixture of Experts!The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

What's the mystery behind the name ChatGPT refuses to discuss? In Episode 32 of Mixture of Experts host Tim Hwang dives into the hottest topics shaping the AI landscape with an all-star panel: Aaron Baughman, Vagner Figueredo de Santana, and Shobhit Varshney. First, they disect the biggest announcements and takeaways from AWS re:Invent 2024, Amazon's premier AI event. Next, they talk about overcoming architectural vulnerabilities in AI systems, and finally, they uncover the curious case of a name ChatGPT won't discuss—and the questions this raises about privacy and transparency in AI. Get ready for an episode packed with insights, debates, and forward-thinking perspectives!The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

How much future learning will be done with an AI assistant? In Episode 31 of Mixture of Experts, host Tim Hwang is joined by Phaedra Boinodiris, Marina Danilevsky and Skyler Speakman for the AI in education special episode. First, the experts give an update on the state of AI within education. Next, we cover concerns around AI safety and literacy, what do students and teachers need to be aware of? Finally, the panel gives their predictions on what the future of education holds as it relates to AI. Tune-in to this special episode for an in-depth analysis!The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Should your AI assistant remember everything about you? In Episode 30 of Mixture of Experts, host Tim Hwang is joined by Vagner Santana, Vyoma Gajjar and Shobhit Varshney. First, the experts breakdown claims of “near-infinite memory” within AI models. Next, Shobhit is fresh off the plane from Microsoft Ignite, he shares some of the exciting new announcements following the event. Then, a new benchmark has entered the chat, what do we know about FrontierMath? Finally, AlphaFold3 is now more open, why does this matter? Find out more on today's episode!The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Is 2024 the year scaling AI officially breaks? In Episode 29 of Mixture of Experts, host Tim Hwang is joined by Anthony Annunziata, Kate Soule and Naveen Rao. First, the experts discuss whether we are living in a post scale world. Next, we can't have an episode without chatting AI agents, but what does the future hold for this technology? Finally, is AGI here to stay? Tune-in to this week's Mixture of Experts to find out.The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Could AI wipe out software engineers? In Episode 28 of Mixture of Experts, host Tim Hwang is joined by Chris Hay, Kaoutar El Maghraoui, and Shobhit Varshney. First, the experts discuss GitHub reporting a rise of developers driven by AI code assistant tools. Next, Big Sleep finds a vulnerability in SQLite, what is the future for these kinds of AI agents? Finally, OpenAI released SearchGPT, what is the future of AI search? Tune-in today to find out! The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Agents, agents, and more agents! In Episode 27 of Mixture of Experts, host Tim Hwang is joined by Volkmar Uhlig and Vyoma Gajjar. First, the experts chat about Mark Benioff's spicy tweet, and what this means for the future of AI agents. Next, how much energy is needed to power AI models, and should we be concerned? Then, the experts debrief Anthropic's release of computer use. Finally, Google is integrating SynthID-Text into Gemini to help watermark AI-generated text, do we need this feature? Learn more on today's Mixture of Experts.The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Discover how a journey of Tim Hwang, from politics to tech led to the creation of a $100M company, FiscalNote. Tim shares pivotal lessons in resilience, navigating setbacks, and the value of people and markets. Backed by investors like Mark Cuban, this story unveils how the blend of technology and law transformed compliance for global businesses. From cold-calling clients to expanding internationally, this founder's insights on scaling, innovation, and team-building offer valuable takeaways for aspiring entrepreneurs and leaders. Don't forget to Share, Like, and Subscribe for more Marketing Insights. ▶️ How strong is your growth strategy? Find out for FREE with our Growth Score Quiz—get custom insights and a roadmap to scale. Take the quiz now!

Can chat replace search? In Episode 26 of Mixture of Experts, host Tim Hwang is joined by Kate Soule, Kush Varshney and Petros Zerfos for IBM TechXchange week! First, the experts describe how the team created the Granite 3.0 models. Next, NVIDIA enters the open source model game, what does this mean for the competition? Finally, Perplexity AI is seeking over double their valuation in new funding rounds, what does this mean for start-ups? All that and more on today's episode.The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Can AI solve infectious disease? In Episode 25 of Mixture of Experts, host Tim Hwang is joined by Kaoutar El Maghraoui, Maya Murad, and Ruben Boonen. Today we analyze some papers. First, the experts dissect Machines of Loving Grace, a 15,000 word essay written by Anthropic's CEO making some major AI predictions. Then, Apple generated a new benchmark based of GSM8K in a recent paper, the findings were intriguing. Next, we talk Entropix, a sampler intending to replicate chain of thought features. Finally, OpenAI disclosed they are seeing an increase in AI models faking articles, what can we do to fix this? All this and more, on today's Mixture of Experts.The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Could AI win a Nobel Prize in the future? In Episode 24 of Mixture of Experts, host Tim Hwang is joined by Chris Hay and Edward Calvesbert. First, the experts debrief the ‘Godfather of AI' sharing a Nobel Prize. Next, we talk AI platforms and the hype around DGX B200. Finally, unstructured data is becoming usable for LLMs, why are companies like NVIDIA so interested in this data? Tune-in today to find out!The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Will DeepDive replace the Mixture of Experts podcast? In Episode 23, host Tim Hwang is joined by IBM Researchers Marina Danilevsky, Nathalie Baracaldo and Vagner Santana to dissect this week's AI news. First, the experts talk about the hype around Google's NotebookLM, specifically regarding the DeepDive podcast feature. Next, OpenAI DevDay sparks some interesting conversation around vision fine-tuning and multimodality. Finally, it's Cybersecurity Awareness Month and IBM X-Force released the Cloud Threat Landscape Report. Will AI prevent phishing attacks? Tune-in to this week's episode to learn more!The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Meta releases Llama 3.2! In Episode 22 of Mixture of Experts, host Tim Hwang is joined by Maryam Ashoori, Skyler Speakman, and Shobhit Varshney to debrief an exciting week of AI news. First, Meta is back with the release of Llama 3.2, and lightweight (1B/3B) models. Next, it's Climate Week NYC, we chat the use of gen AI in achieving sustainable development goals. Specifically, IBM and NASA's AI model for weather and climate. Finally, the book version of “AI Snake Oil” officially dropped and the authors claim they will be wrong in 2.5 years. What do our experts think? Tune-in today to find out!The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Can Apple Intelligence compete with the AI market offerings? In Episode 20 of Mixture of Experts, host Tim Hwang is joined by Marina Danilevsky, Kate Soule and Maya Murad. Today, the experts chat Apple Intelligence, the performance of Reflection's 70B, and a new paper released on LLMs generating novel research ideas. Additionally, IBM soft launched the Bee Agent Framework to help build agentic workflows with leading open-source and proprietary models. Tune-in to hear our expert panel break down this week's AI news.The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Will prompt engineering ever die? In Episode 19 of Mixture of Experts, host Tim Hwang is joined by Kaoutar El Maghraoui, Kate Soule and Shobhit Varshney. Today, the experts chat the future of prompt engineering, a new paper released about The AI Scientist, NEO 1X's humanoid robot, and OpenAI's in-house AI chips. Will AI takeover scientific discovery? Will everyone have at home AI assistants? Why is OpenAI investing in chip production? Tune-in for our expert's takes.0:00 - Intro1:17 - Future of Prompt Engineering11:18 - NEO 1X Robot21:56 - AI for Scientific Discovery31:48 - OpenAI's in-house ChipsThe opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Is search less trustworthy? In Episode 18 of Mixture of Experts, host Tim Hwang is joined by the IBM Fellows—Aaron Baughman, Kush Varshney, and Trent Gray-Donald. Today, the experts chat how AI is being integrated at the US Open. Next, the Perplexity is introducing ads in Q4, what is the affect on search? Finally, what's all the hype with Cursor? Tune-in to today's episode for all this and more.The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Is OpenAI about to release their biggest AI project? In Episode 16 of Mixture of Experts, host Tim Hwang is joined by Nathalie Baracaldo, Kate Soule, and Shobhit Varshney. Today, the experts chat IBM's 2024 Cost of a Data Breach Report and analyze how gen AI could reduce the cost of cyber threats. Next, rumors are circulating the internet about OpenAI dropping “Project Strawberry,” what they internally reference as a “level 2” model. Are the rumors true? Tune-in for more.The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.Segments:0:01 — Intro00:52 — Cost of a Data Breach 202412:33— Project Strawberry

Is it an AI bubble? In Episode 15 of Mixture of Experts, host Tim Hwang is joined by our veteran panel: Marina Danilevsky, Kush Varshney, and Shobhit Varshney. Today, the experts chat the stock market crash and the involvement of AI companies. Then, OpenAI released Structured Outputs, and analyze how this can support enterprise implementation of AI. Finally, Google "acquires" character.ai, does this make any sense? Tune-in for the breakdown. The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.0:01 — Intro1:07 — AI Bubble?11:49 — Structured Outputs22:41 — character.ai "Acquisition"

Meta releases SAM 2! In Episode 14 of Mixture of Experts, host Tim Hwang is joined by Ambhi Ganesan, Kate Soule and Vagner Santana. Today, the experts chat the next generation of Meta's Segment Anything Model (SAM). Then, another AI companion attempt via friend.com, we analyze if startups effectively compete in the AI hardware space. Finally, we get expert opinions on various topics: Will gen AI projects be abandoned? Which is bigger—9.11 or 9.9? Tune-in today to find out.0:01 — Intro1:00 — SAM 210:49 — Friend.com20:53 — Abandoned gen AI projects25:38 — Which is bigger—9.11 or 9.9?The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Meta strikes back with the launch of Llama 3.1! In Episode 13 of Mixture of Experts, host Tim Hwang is joined by Chris Hay, Shobhit Varshney, and Maryam Ashoori. Today, the experts analyze the business of AI in relation to the launch of Llama 3.1, including Llama 405B. Then, Mistral Large 2 sparks conversation about the open source wave. Finally, the experts talk GPT 4o-mini and the model price war. Are little models having their moment? Tune-in to find out.0:01 — Intro1:33 — Llama 3.1 and Mistral Large 210:08 — Are Little Models Having a Moment?The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

In Episode 12 of Mixture of Experts, host Tim Hwang is joined by Chris Hay, Marina Danilevsky, and Brent Smolinski. Today, we review Goldman Sachs' report on investment in Gen AI, “too much spend, too little benefit.” Next, the experts break down Claude 2.0 Engineer and the future of coding agents. Finally, the Recording Industry Association of America (RIAA) files lawsuits against two generative music companies. Will modern AI break the music industry? Tune-in today to find out.The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

In Episode 11 of Mixture of Experts, host Tim Hwang is joined by Aaron Baughman, Kaoutar El Maghraoui, and Skyler Speakman, and its Wimbledon finals week! Today, we review how AI is providing insights throughout one of the most prestigious tennis tournaments and the future of AI in sports. Next, the experts break down the quality of ChatGPT for coding. Finally, how did scaling synthetic data create one billion personas?The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity.

Tim Hwang turns the tables and interviews me (Ben) about Speculative Technologies and research management. 

It used to feel like magic. Now it can feel like a set of cheap tricks. Is the problem with Google — or with us? And is Google Search finally facing a real rival, in the form of A.I.-powered “answer engines”?  SOURCES:Marissa Mayer, co-founder of Sunshine; former C.E.O. of Yahoo! and vice president at Google.Ryan McDevitt; professor of economics at Duke University.Tim Hwang, media researcher and author; former Google employee.Elizabeth Reid, vice president of Search at Google.Aravind Srinivas, C.E.O. and co-founder of Perplexity.Jeremy Stoppelman, C.E.O. and co-founder of Yelp. RESOURCES:“A Fraudster Who Just Can't Seem to Stop … Selling Eyeglasses,” by David Segal (The New York Times, 2022).Subprime Attention Crisis: Advertising and the Time Bomb at the Heart of the Internet, by Tim Hwang (2020).“Complaint: U.S. and Plaintiff States v. Google LLC,” by the U.S. Department of Justice (2020).“Fake Online Locksmiths May Be Out to Pick Your Pocket, Too,” by David Segal (The New York Times, 2016).“‘A' Business by Any Other Name: Firm Name Choice as a Signal of Firm Quality,” by Ryan C. McDevitt (Journal of Political Economy, 2014).In the Plex: How Google Thinks, Works, and Shapes Our Lives, by Steven Levy (2011).“The Anatomy of a Large-Scale Hypertextual Web Search Engine,” by Sergey Brin and Lawrence Page (Computer Networks and ISDN Systems, 1998). EXTRAS:“Is Dialysis a Test Case of Medicare for All?” by Freakonomics Radio (2021).“How Big is My Penis? (And Other Things We Ask Google),” by Freakonomics Radio (2017).