Everything You Need to Know About AI Tokens
In this Operator's edition, Nufar Gaspar explains what AI tokens actually are, why costs can spiral in agentic workflows, and how to distinguish valuable usage from waste. Learn how to measure cost per successful task, eliminate “tokens that spin,” choose the right models and protect the experimentation that creates real value.
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Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe Coding
(0:00) Former Intel CEO Pat Gelsinger joins Jason!
(1:41) What Went Wrong at Intel
(15:19) Why a Taiwan Blockade Would Cripple the US Economy
(25:00) Lovable's Anton Osika: One Million New Apps a Week
(33:38) How Lovable is Bringing Down Builder Costs
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Why Local AI Matters and How to Use It
In this Operator’s Cut, NLW is joined by Nufar Gaspar for a practical primer on why local AI suddenly matters and where to start. They break down the forces pushing companies to rethink full dependence on frontier cloud models — rising token costs, vendor fragility, capacity constraints, data control, and resilience — then walk through the basic layers of local AI, from hardware and open models to Ollama, LM Studio, agent harnesses, and the real tradeoffs of running AI on machines you control.
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KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at kpmg.com/us/Sophisticated
Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/
Outsystems - Stop wondering how AI will change your business and start building the agents that will lead it - http://outsystems.com/
Scrunch - The AI customer experience platform - https://scrunch.com/
Zenflow Work - Agents for knowledge work - https://zenflow.free/
Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/
MissionCloud - Eliminate AWS complexity with end-to-end cloud and AI services https://www.missioncloud.com/
AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief
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Re-engineering the Semiconductor Supply Chain with Intel CEO Lip-Bu Tan
At 66 years old, instead of heading towards retirement, former Cadence CEO and legendary investor Lip-Bu Tan decided to take on the hardest job in tech: turning Intel around. Elad Gil and Sarah Guo sit down with Intel CEO Lip-Bu Tan to talk about why he took the job and what “saving” Intel actually looks like. Tan explains how his experience in startup culture informed his decisions to drive Intel’s culture towards faster decisions, focus on customer satisfaction, and engineer accountability. He also discusses his strategy to strengthen Intel’s balance sheet by welcoming investments from Jensen Huang’s Nvidia, Softbank, and the US government. Tan also shares his product roadmap that centers the CPU for agentic AI and inference, the collaboration with Elon Musk on Terafab, his investing framework for semiconductors, and his views on how AI is reshaping design and operations at, as he puts it, a ‘legacy spreadsheet’ tech company.
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Chapters:
00:00 – Cold Open
01:01 – Lip-Bu Tan Introduction
01:24 – Why Lip-Bu Took the Reins at Intel
03:00 – Fixing Culture
04:08 – Intel’s 10-Year Vision
07:57 – Working with Elon Musk on Terafab
09:59 – Shifting Supply Chain for Semiconductors
15:34 – Limits to Scaling and Packaging
18:30 – Physical Limits to Engineering and Design
20:33 – Challenges in Semiconductor Investing
26:29 – Lessons from Cadence
28:02 – Scaling and Investment Decisions
32:03 – Rethinking Teams in AI Era
34:31 – Industrial Policy and Funding
37:25 – What Investors Misunderstand About Intel
41:10 – Where Compute Will Live
44:59 – Conclusion
The 4 AI Team Members Execs Should Hire Right Now
NLW is joined by Nufar Gaspar for an Operators Bonus episode on the practical AI systems leaders should build for themselves right now. They discuss why executive AI usage is often the strongest signal for broader organizational adoption, then walk through four “digital employees” every leader can start using today: a research analyst, a strategic thought partner, a communication expert, and an operational powerhouse.
Sign up for the new AI Executive Catch Up program: https://aiexecutivecatchup.com/
How To Build a Personal Agentic Operating System
On our latest Operators Bonus Episode, Nufar Gaspar returns to introduce Agent OS, the latest free AIDB training program for building a personal agentic operating system that travels with you across any tool, model, or harness. As every agent tool converges on the same set of capabilities, the system you build underneath is what actually matters — and Nufar walks through the seven layers using a chief of staff as the running example.
Sign up for the free AgentOS program: https://aidbagentos.ai/
Agent Skills Masterclass
Nufar Gaspar walks NLW through a five-level framework for agent skills — from understanding what they are to building an organizational skill library. We get into the anatomy of an effective skill, the mistakes that kill them, advanced patterns like dispatchers and skill chaining, and why skills might be the first AI infrastructure primitive with a built-in expiration date.
Your Agent Skills Masterclass companion checklist: https://play.aidailybrief.ai/episodes/skills-master-class/
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AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief
Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/
The Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.
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The 80-Year Bet: Why Naveen Rao Is Rebuilding the Computer from Scratch
Naveen Rao is cofounder and CEO of Unconventional AI, an AI chip startup building analog computing systems designed specifically for intelligence. Previously, Naveen led AI at Databricks and founded two successful companies: Mosaic (cloud computing) and Nervana (AI accelerators, acquired by Intel).
In this episode, a16z’s Matt Bornstein sits down with Naveen at NeurIPS to discuss why 80 years of digital computing may be the wrong substrate for AI, how the brain runs on 20 watts while data centers consume 4% of the US energy grid, the physics of causality and what it might mean for AGI, and why now is the moment to take this unconventional bet.
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A Framework for Choosing Winning AI Use Cases [Agent Readiness Part 3]
In the third and final episode of our Agent Readiness series, NLW and Nufar Gaspar dive into how to identify, prioritize, and measure AI use cases inside your company. They break down a practical framework for evaluating opportunities, balancing growth and efficiency initiatives, and managing your AI portfolio like an investment strategy. Plus, they explain why company knowledge agents often deliver outsized ROI and why 2026 will be the “show me the money” year for AI transformation.
Series Episode 1: How to Build an AI-Ready Culture: A Practical Guide
Series Episode 2: Why Data is the Biggest Barrier to AI Readiness (And What to Do About It)
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Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/
The Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.
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Why Data is the Biggest Barrier to AI Readiness (And What to Do About It)
In part two of our Agent Readiness series, Superintelligent Head of Research Nufar joins the AI Daily Brief to discuss the single biggest blocker we see across thousands of enterprise audits—data and technology readiness. This Operator's Cut-style episode unpack the three archetypes of companies that get stuck, from the “magpies” chasing shiny pilots to the “monks” bogged down in perfectionist overplanning, and share a more effective approach: intentional opportunism. From using AI to fix messy data to building flexible, hybrid tech stacks, we dive deep into how companies can move fast without breaking their infrastructure.
Series Episode 1: How to Build an AI-Ready Culture: A Practical Guide
The Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.
How to Build an AI-Ready Culture: A Practical Guide
In this special Operator’s Cut bonus edition, NLW kicks off a new three-part Agent Readiness series with Superintelligent Head of Research, Nufar Gaspar. Drawing from thousands of enterprise interviews across Superintelligent’s Agent Readiness and Opportunity Mapping assessments, they explore why culture—not technology—is often the biggest barrier to AI adoption. Nufar shares the CHANCE framework—Communication, Human Oversight, Attitude, Network, Governance, and Enablement—and offers practical steps leaders can take to create an AI-ready culture, from clear communication and better governance to empowering internal AI champions and training teams to manage agents, not just prompts.
The Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.
Interested in sponsoring the show? nlw@aidailybrief.ai
Action absorbs anxiety (Friends)
Arun Gupta, now a “free agent” after his surprise exit from Intel, joins us to discuss how he’s dealing with his first job hunt since the 1990s. Along the way, we talk about agentic coding strategies, what GPT-5’s release implies about the future, and more. (US buys 10% of Intel)++
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Show Notes:
Something missing or broken? PRs welcome!
Databricks VP: Don’t Try to Speed AI Evolution through Brute Force
In the latest episode ofThe New Stack Agents, Naveen Rao, VP of AI at Databricks and a former neuroscientist, reflects on the evolution of AI, neural networks, and the energy constraints that define both biological and artificial intelligence. Rao, who once built circuit systems as a child and later studied the brain’s 20-watt efficiency at Duke and Brown, argues that current AI development—relying on massive energy-intensive data centers—is unsustainable. He believes true intelligence should emerge from low-power, efficient systems, more aligned with biological computing.
Rao warns that the industry is headed toward “model collapse,” where large language models (LLMs) begin training on AI-generated content instead of real-world data, leading to compounding inaccuracies and hallucinations. He stresses the importance of grounding AI in reality and moving beyond brute-force scaling. Rao sees intelligence not just as a function of computing power, but as a distributed, observational system—“life is a learning machine,” he says—hinting at a need to fundamentally rethink how we build AI.
Learn more from The New Stack about the latest insights about the evolution of AI and neural networks:
The 50-Year Story of the Rise, Fall, and Rebirth of Neural Networks
The Evolution of the AI Stack: From Foundation to Agents
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Federated learning in production (part 1)
In this first of a two part series of episodes on federated learning, we dive into the evolving world of federated learning and distributed AI frameworks with Patrick Foley from Intel. We explore how frameworks like OpenFL and Flower are enabling secure, collaborative model training across silos, especially in sensitive fields like healthcare. The conversation touches on real-world use cases, the challenges of distributed ML/AI experiments, and why privacy-preserving techniques may become essential for deploying AI to production.
Featuring:
Patrick Foley – LinkedIn
Chris Benson – Website, GitHub, LinkedIn, X
Daniel Whitenack – Website, GitHub, X
Links:
Intel
OpenFL
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The Agent Use Cases Most Ready for Primetime
In this discussion, AI strategist Nufar Gaspar explains the top AI agent use cases companies currently use successfully. Examples include customer service automation, coding assistants, sales agents, voice-enabled workflows, and deep research.
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The Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.
The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdown
The 7 Biggest Mistakes Companies Are Making with AI and Agent Adoption
Companies keep repeating these costly mistakes when adopting AI and agents. Nufar Gaspar, an AI adoption strategist formerly at Intel, breaks down seven critical errors organizations make, including unrealistic expectations, unclear strategies, poor data access, and mismanaged communication.
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KPMG – Go to https://kpmg.com/ai to learn more about how KPMG can help you drive value with our AI solutions.
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Plumb - The Automation Platform for AI Experts - https://useplumb.com/nlw
The Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.
The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdown
Fostering open source culture (Interview)
Arun Gupta is back, this time with his latest book in hand titled “Fostering Open Source Culture” to share his wisdom and experiences of fostering open source culture. BTW you can use the code OSCULTURE20 to get 20% off (both print and e-book). Use this link and enjoy.
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Adam Stacoviak – Website, GitHub, LinkedIn, Mastodon, X
Jerod Santo – Website, GitHub, LinkedIn, Mastodon, X
Show Notes:
Book announcement
Buy the book - save 20% using code OSCULTURE20
Something missing or broken? PRs welcome!
25 Agent Predictions for 2025 - Part 2
PART 2: Agents are the most important trend in AI heading into the new year. NLW is joined by Nufar Gaspar to count down 25 predictions for AI agents in 2025.
Nufar Gaspar is a seasoned AI expert and leader with vast experience in incubating and growing AI products, verticals and communities. She is the Director of AI Everywhere and Gen AI for Intel Design, and consults and trains organizations and teams on the usage of AI and building AI products and companies.
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25 Agent Predictions for 2025 - Part 1
Agents are the most important trend in AI heading into the new year. NLW is joined by Nufar Gaspar to count down 25 predictions for AI agents in 2025.
Nufar Gaspar is a seasoned AI expert and leader with vast experience in incubating and growing AI products, verticals and communities. She is the Director of AI Everywhere and Gen AI for Intel Design, and consults and trains organizations and teams on the usage of AI and building AI products and companies.
Brought to you by:
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The AI Daily Brief helps you understand the most important news and discussions in AI.
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Highlighting Data Intelligence with Databricks & Bonbon’s Reward Innovation | E2020
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(8:54) Regulatory challenges and open-source AI
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(13:57) Meta's Llama models and reinforcement learning
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(52:08) Tech incumbents' evolution and AI competition
(54:55) AI model sizes and synthetic data quality
(57:29) AI inspiration from biology and future innovation
(1:03:06) Databricks' growth trajectory and potential IPO
(1:04:25) Elliot Easterling of bonbon joins TWIST for a Jam with JCal.
(1:05:16) Bonbon.tech and the rewards platform overview
(1:14:44) Gamification strategies and user engagement
(1:22:18) Exploring growth opportunities and market expansion
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Check out Databricks: https://www.databricks.com/
Check out Bonbon: https://bonbon.tech
Link to Newsom vetoes SB 1047 article: https://www.bbc.com/news/articles/cj9jwyr3kgeo
The short guide to understanding data intelligence from Databricks: https://www.databricks.com/blog/short-guide-understanding-data-intelligence
Mosaic AI Agent Framework post: https://www.databricks.com/blog/announcing-mosaic-ai-agent-framework-and-agent-evaluation
Data Intelligence Platform product tour: https://www.databricks.com/resources/demos/tours/horizontal/introducing-databricks-intelligence-platform?itm_data=demo_center
Mosaic AI new features and demo: https://www.youtube.com/watch?v=acIBdCOj88E
Unity Catalog GitHub: https://github.com/unitycatalog/unitycatalog
“Thinking Fast and Slow” by Daniel Kahneman summary on Medium - https://www.penguinrandomhouse.ca/books/89308/thinking-fast-and-slow-by-daniel-kahneman/9780385676533
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X: https://x.com/naveengrao
LinkedIn: https://www.linkedin.com/in/naveen-rao-bba5b01/
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X: https://x.com/e_easterling
LinkedIn: https://www.linkedin.com/in/elliotteasterling
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LinkedIn: https://www.linkedin.com/in/jasoncalacanis
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Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland
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Gaudi processors & Intel's AI portfolio
There is an increasing desire for and effort towards GPU alternatives for AI workloads and an ability to run GenAI models on CPUs. Ben and Greg from Intel join us in this episode to help us understand Intel’s strategy as it related to AI along with related projects, hardware, and developer communities. We dig into Intel’s Gaudi processors, open source collaborations with Hugging Face, and AI on CPU/Xeon processors.
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Featuring:
Benjamin Consolvo – GitHub, LinkedIn, X
Greg Serochi – LinkedIn
Chris Benson – Website, GitHub, LinkedIn, X
Daniel Whitenack – Website, GitHub, X
Show Notes:
Intel’s AI & Machine Learning Ecosystem Developer Resources
Intel® Tiber™ Developer Cloud
Intel Gaudi AI Processors
Optimum Habana
Overview of AI tools from Intel
OpenVINO
Case Study: Prediction Guard De-Risks LLM Applications at Scale
How Prediction Guard Delivers Trustworthy AI on Intel® Gaudi® 2 AI Accelerators
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Technically Speaking (An Intel Podcast): A Safer World With AI Digital Twins
Advancements in AI technology have made it possible to create virtual representations of our real-world environments, and these digital twins could change how we experience just about everything in our lives. These digital twins can create everything from more efficient workplaces to smarter traffic lights, and on the first episode of Season 2 of Technically Speaking: An Intel Podcast, digital twin expert Tony Franklin discusses what’s required to create a digital twin and how different industries can use this technology to create a safer future for everyone.
Learn more about how Intel is leading the charge in the AI Revolution at intel.com/AIeverywhere
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Why Do Youtubers Keep Destroying Companies - WAN Show April 19, 2024
MSI’s MEG Z790 ACE MAX Motherboard is a beast! Check it out at https://lmg.gg/tY6Qc
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Timestamps (Courtesy of NoKi1119):
0:00 Chapters
1:20 Intro
1:44 Topic #1 - Interview with Tenstorrent's CEO Jim Keller
7:54 Do the RISC V teams look for a PhD or for experience?
9:39 How far do you think x86 can go? How computers predict
11:54 Could Intel or AMD use RISC V as a prediction set in their chips?
13:18 Linus on returning to legacy & replacing PCs with RISC V?
16:29 Luke on server stack issues
18:52 Advice for keeping up with the industry?
20:34 Linus asks about the origin of Tenstorrent's ideas
24:39 Discussing AI's impact on computers & architecture design
31:01 Being in a simulation & related theories
32:00 Discussing company stocks, good V.S. great company leader
37:50 What was joining AMD back then like? ft. Management, risk
43:46 How much did Intel save AMD with the bad generational leaps?
44:58 Discussing NVIDIA's current leap, thoughts on the future
49:08 RISC V competitors helping RISC V's development?
50:34 Linus on the issues with the x86 Via Centaur chip
53:08 How far are we from fully self-driving cars?
1:04:08 What does Tenstorrent & Jim Keller do? ft. Roast
1:08:40 Ending the interview, excited Linus & Luke discuss
1:11:18 Topic #2 - YouTuber reviews on Humane Ai Pin causes drama
1:13:28 Linus recalls NVIDIA & Hardware Unboxed controversy
1:15:20 Discussing it from the manufacturer's side, NVIDIA & Apple
1:20:46 Luke requests FP reviews of the new beta site
1:21:18 Linus recalls his comment on not wasting money
1:25:44 Luke on companies pushing beyond, recalls Jim's interview
1:27:39 Sponsor - MSI
1:28:55 Sponsor - Squarespace
1:29:47 Sponsor - Vessi
1:30:39 Merch Messages #1
1:31:55 LTT Labs mouse reviews ETA? ft. Calling Gary, Beat Saber paper
1:36:45 Connecting an infected PC task ft. Tech in movies, forums link
1:39:36 Topic #3 - PaintCam Eve, AI projectile-powered security kickstarter
1:49:24 Topic #4 - Overclockers UK repairs The Spiffing Brit's tea PC
1:51:55 Repairs done, why make PCs for creators? ft. DiskMantler, drive stories
1:57:36 LTTStore's new Labs phase shirt, pullover hoodie & zip-up hoodie
1:59:48 Topic #5 - Watcher leaves YouTube, launches ad-free subscription
2:14:46 Pullover & zip-up hoodies will be print to order
2:14:56 Topic #6 - HP sued over blocking third party ink & monopoly
2:17:19 Topic #7 - Boston Dynamics announces new Atlas
2:21:22 Keanu Reeves to voice Shadow in the Sonic 3 movie
2:21:45 Figure's OpenAI speech-to-speech reasoning robot
2:23:25 Topic #8 - YouTube warns third party YouTube apps with an ad blocker
2:31:00 Topic #9 - Linus reviews Steam Families
2:32:36 Topic #10 - Plex tells GitHub to take down Plex Reshare repository
2:35:02 Topic #11 - UK criminalizes noncon sexualized deepfakes
2:37:20 Merch Messages #2 ft. WAN Show After Dark
2:38:53 How is Linus's smart home going? Zigbee or Wi-Fi?
2:44:07 Biggest compromise Linus or Yvonne had with adding home tech?
2:44:58 Is the Labs hoodie the same as the Dropout hoodie?
2:45:43 Something that was more complicated than you thought?
2:48:40 New LTTStore onesie designs ETA?
2:52:18 Have you watched the Fallout show? ft. "Wink" - Dan
2:53:47 Motivation behind FP's frontend refactor to react?
2:57:46 Has Liuns considered AHL hockey games?
3:01:11 Thoughts on the Twitter sites changing to X sites?
3:04:16 Would you consider Massdrop for low volume products?
3:05:38 Riding a bike with the LTT backpack? How does it fair with accidents?
3:06:27 What brand of Optical DP does Linus run for his racked PCs?
3:07:51 If you collaborate with others on LTTStore, what would you make?
3:09:06 Thoughts on buying online movies you can't own then pirating it?
3:11:44 Whatever happened to upside down PC cases?
3:12:03 Favorite part of product development?
3:13:37 Outro
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How AI adds to human potential: (LIVE) with Scale AI’s Alex Wang and Intel’s Lama Nachman
Generative AI is advancing at a breakneck pace, prompting questions on risk and opportunity, from content creation to personal data management. In a special live recording, we delve into the ways AI can augment human work and spur innovation, instead of simply using AI to cut costs or replace jobs. Host Jeff Berman joined a seasoned AI researcher, Intel's Lama Nachman, and a young start-up founder, Scale AI's Alexandr Wang, on stage at the Intel Vision event in April 2024. They explore topics like AI’s disruption of creative industries, mitigating its biggest risks (like deepfakes), and why human critical thinking will be even more vital as AI technology spreads.
Read a transcript of this episode: https://mastersofscale.com
Subscribe to the Masters of Scale weekly newsletter: https://mastersofscale.com/subscribe
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Climbing the GenAI decision tree
Learn more about the potential of AI inference with OpenVINO Notebooks.
Check out the previous podcast with Intel, where we talk with Raymond Lo about how hardware and software work together with AI.
Connect with Ria on LinkedIn or GitHub.
Congrats to Lifeboat badge winner Kevin, who showed what they know about TypeError; Must use key word argument or key function in Python 3.x.
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Optimizing both hardware and software for GenAI
SPONSORED BY INTEL
Ryan and Ben chat with Raymond Lo, AI software evangelist at Intel, about the AI PC, the software that powers AI breakthroughs, and optimizing hardware and software in unison to improve generative AI performance. Bonus: what’s the difference between a GPU optimized for graphics and a VPU or NPU optimized for AI?
Episode notes
If you’re interested in trying any of the demos that Raymond talked about, check out Intel’s OpenVINO notebooks.
Learn more about Intel’s Edge AI resources here.
Raymond previously wrote about enhancing image and video resolution using OpenVINO.
You can reach out to Raymond Lo on LinkedIn.
Congrats to Lifeboat badge winner, Andrey Korneyev, for saving the question, How can I delete specific nodes from an XElement?
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Rapid Response: Inside Intel’s AI ambitions, w/CEO Pat Gelsinger
The AI boom in 2023 left Intel chasing rival Nvidia, whose chips — and shares — have been in high demand. Like other laggards amid this year’s AI mania, Intel is now fighting back, announcing the first-ever AI PC. Intel’s CEO Pat Gelsinger sits down with Rapid Response host Bob Safian to discuss how the company is working to re-establish itself — and sharing lessons for leaders everywhere about the long-term trajectory of the AI wave and how to practically position yourself to ride it. Plus, Pat shares leadership insights from his unceremonious exit from Intel a decade ago, and how he’s applying those learnings now in his second tour of duty.
Read a transcript of this episode: https://mastersofscale.com/
Subscribe to the Masters of Scale weekly newsletter: https://mastersofscale.com/subscribe
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Intel's CEO Shares His Plan To Win The AI Chip War — With Pat Gelsinger
Pat Gelsinger is the CEO of Intel. He joins Big Technology Podcast to discuss how the AI chip war is playing out and why it's growing more competitive. In this episode, we break down the various components of the chip business, the difference between CPUs and GPUs, who's ahead in the AI chip war, NVIDIA's underrated weakness, and why Intel is getting back into the foundry business after a couple of failed attempts. Tune in for a vibrant, deep discussion of the state of the AI chip business and the state of Intel's comeback.
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See how Intel is bringing AI Everywhere on Thursday, December 14 at 7:00 – 8:00 a.m. PST / 10:00 – 11:00 a.m. EST for a keynote featuring CEO Pat Gelsinger and other Intel leaders livestreamed on the Intel Newsroom.
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MosaicML's Naveen Rao on Making Custom LLMs More Accessible - Ep. 199
Startup MosaicML is on a mission to help the AI community enhance prediction accuracy, decrease costs, and save time by providing tools for easy training and deployment of large AI models.
In this episode of NVIDIA's AI Podcast, host Noah Kravitz speaks with MosaicML CEO and co-founder Naveen Rao, about how the company aims to democratize access to large language models.
MosaicML, a member of NVIDIA's Inception program, has identified two key barriers to widespread adoption: the difficulty of coordinating a large number of GPUs to train a model and the costs associated with this process.
Making training of models accessible is key for many companies who need to control over model behavior, respect data privacy, and iterate fast to develop new products based on AI.
The Social Science of AI: Intel’s Elizabeth Anne Watkins
When Elizabeth Anne Watkins started her doctoral program, she landed a research role studying journalists’ use of security and privacy technologies — but she found the security tools confusing and difficult to use. Today, as a research scientist in the social science of AI at Intel Labs, she advocates for other end users faced with understanding and working with new technologies.
Elizabeth employs social science to understand the concerns of technicians performing complex chip manufacturing processes so that new AI systems will be developed to better serve those human experts. During this process, she also helps the technicians recognize AI’s role as a supporting technology — even a coworker — rather than a human replacement.
She joins this episode to discuss her role as a social scientist working in tech and some of the ways Intel is applying AI technologies like computer vision and natural language processing to improve semiconductor manufacturing processes. Read the episode transcript here.
Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger.
Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn.
Guest bio:
Elizabeth Anne Watkins is a research scientist in the Social Science of Artificial Intelligence at Intel Labs and a member of Intel’s Responsible AI Advisory Council, where she applies social science methods to amplify human potential in human-AI collaboration. Her research on the design, deployment, and governance of AI tools has been published in leading academic journals and has been featured in Wired, MIT Technology Review, and Harvard Business Review. She was previously a postdoctoral fellow at Princeton and has a doctorate from Columbia University and a master’s degree from MI
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