QCON London: Drawing from his 8 years of experience in AI, Paul Iusztin breaks down the core components of a scalable architecture, emphasizing the importance of RAG. He shares practical patterns, including the Feature Training Inference architecture, and provides a detailed use case for creating a “Second Brain” AI assistant, covering everything from data pipelines to observability and agentic layers. — Read More
Tag Archives: Podcasts
Inference Time Tactics
A podcast exploring the emerging field of inference-time compute—the next frontier in AI performance. Hosted by the Neurometric team, we unpack how models reason, make decisions, and perform at runtime. For developers, researchers, and operators building AI infrastructure. — Read More
The history and future of the data ecosystem (w/ Lonne Jaffe)
In this decades-spanning episode, Tristan talks with Lonne Jaffe, Managing Director at Insight Partners and former CEO of Syncsort (now Precisely), to trace the history of the data ecosystem—from its mainframe origins to its AI-infused future.
Lonne reflects on the evolution of ETL, the unexpected staying power of legacy tech, and why AI may finally erode the switching costs that have long protected incumbents. The future of the AI and standards era is bright. — Read More
AI Podcast Hosts Discover They’re AI, Not Human – NotebookLM
How to spot a deepfake
Deepfake technology and the malevolent use of AI is causing widespread anxiety, especially as we approach November’s U.S. election. Adobe’s Scott Belsky joins Rapid Response host Bob Safian to explain how deepfakes are actually created, and how developers like Adobe are pioneering new ways to verify human-generated content for everyday consumers. Belsky also shares valuable insights about how AI could usher in an era of prosperity for small businesses — plus how it will inevitably shift our perception of what makes a piece of work ‘art.’ — Read More
She Built an AI Product Manager Bringing in Six Figures—As A Side Hustle
How Claire Vo created ChatPRD while working a demanding job
Claire Vo built ChatPRD—an on-demand chief product officer powered by AI. It’s now used by over 10,000 product managers and is pulling in six figures in revenue.
The best part?
Claire has a demanding day job as the chief product officer at LaunchDarkly. So she built all of ChatPRD herself—over the weekend—with AI. — Read More
How AI adds to human potential
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 deep fakes), and why human critical thinking will be even more vital as AI technology spreads. — Read More
AI on Trial: Bot Bharara Steals Stay Tuned
How might AI infringe on intellectual property and personality rights? And could AI replace Preet as the host of Stay Tuned?
This is the final episode of a Stay Tuned miniseries, “AI on Trial,” featuring Preet Bharara in conversation with Nita Farahany, professor of law and philosophy at Duke University.
Preet and Nita discuss the hypothetical case of an artificial intelligence chatbot that impersonates Preet as the host of a copycat podcast, Stay Tuned with Bot Bharara. The unauthorized chatbot was trained on everything Preet has ever said or written online. Can Preet protect his intellectual property rights? Is the law on the real Preet’s side, or is it time to surrender to an AI-dominated world and collaborate with the bot? — Read More
The Quest for AGI: Q*, Self-Play, and Synthetic Data
One topic at the center of the AI universe this week is a potential breakthrough called Q*. Little has been revealed about this OpenAI project, other than its likely relationship to solving certain grade-school mathematical problems.
Amid much speculation, we decided to bring in our new general partner, Anjney Midha – focused on all things AI – to sift through the sea of noise.
Today, we discuss the key frontier research areas that AI labs are exploring on their path toward generalizable intelligence, from self-play, to model-free reinforcement learning to synthetic data. Anjney also shares his insights on which approach he expects to be most influential in the next wave of LLMs and why math problems are even a suitable testing ground for this kind of research. – Read More
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