Frontier Systems

Frontier Systems is where the people building the future of AI explain what they're working on. Frontier Systems is where the people building the future of AI explain what they're working on. Our flagship show, Office Hours, airs live on YouTube every Friday from 12–1pm PT, with Anjney Midha and Mike Abbott taking real-time questions from students and the broader community alongside a weekly special guest - researchers, operators, investors, policymakers, and founders shaping the frontier. Beyond Office Hours, we publish lectures, interviews, and deep dives on the systems, ideas, and people defining AI's frontier. Recordings are available wherever you get your podcasts.

Frontier Systems is a technology podcast hosted by Anjney Midha, with 0 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Anjney Midha hosts Frontier Systems, a technology show with 0 episodes published.

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  Episode #5

  Prithvi Rajasekaran of Anthropic - Office Hours, Episode 5

  May 22, 20261h 1mS1

  <p>This week on Office Hours, Anjney sits down with Prithvi Rajasekaran, a member of Anthropic's labs team and author of a recent post on harness design for long-running coding agents. The conversation ranges across the substance of his post — the generator-evaluator loop borrowed loosely from GANs, the third "planner" agent that complicates the metaphor, the Ralph Wiggum loop, and why context resets unlock Sonnet 4.5 while plain compaction suffices for Opus 4.5 — and into the looser texture of the craft itself: the hours spent reading overnight agent transcripts, the "elicitation overhang" that makes a single prompt feel like a generation of capa...

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  Episode #4

  Reiner Pope of MatX - Office Hours, Episode 4

  May 15, 202658 minS1

  <p>This week on Office Hours, Anjney Midha and Mike Abbott are joined by Reiner Pope, CEO and co-founder of MatX, who spent a decade at Google - chip design for neural nets on the TPU team, then writing the inference stack for Palm - before leaving at the end of 2022 to bet that frontier-scale workloads deserved a chip designed from scratch around them. Reiner walks through the architecture decisions behind MatX including why intelligence per picojoule is the eval that matters, how to manage co-design risk when an error on the logic die costs hundreds of billions in CapEx...

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  Episode #3

  Anastasios Angelopoulos of Arena - Office Hours, Episode 3

  May 8, 202654 minS1

  <p>In this "Office Hours" episode, Arena co-founder and CEO Dr. Anastasios Angelopoulos discusses how a Berkeley side project became the gold-standard evaluation platform used by every frontier lab. He explains that benchmarks fundamentally cannot capture post-deployment reality, and what happens when a model meets tens of millions of real users doing real work across coding, creative writing, image editing, and increasingly agentic tasks. Angelopoulos argues Arena is structurally ungameable because the question distribution is constantly refreshed by new users, and shares the origin story of NanoBanana - Google's stealth image model whose viral run on Arena marked the first...

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  Episode #2

  Amanda Askell of Anthropic - Office Hours, Episode 2

  Apr 29, 20261h 1mS1

  <p>In this "Office Hours" episode, Anthropic's Amanda Askell discusses her work making Claude "good"—a journey that took her from a philosophy PhD in formal ethics and decision theory to leading character and alignment work at Anthropic. She explains why Aristotelian virtue ethics has proven more practically useful than abstract theoretical frameworks, and unpacks Anthropic's constitutional approach to AI. Rather than imposing strict rules, the constitution describes situations, values, and good judgment, aiming for coherence across domains so models generalize well into new contexts. Askell argues this approach is safer than the "purely corrigible tool" model, which she worries co...

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  Episode #1

  Anjney Midha and Mike Abbott - Office Hours, Episode 1

  Apr 27, 202657 minS1

  <p>In this inaugural "Office Hours" livestream, Anjney Midha and Mike Abbott field rapid-fire student questions covering the AI compute and infrastructure landscape. They discuss how scaling laws continue to hold in verifiable domains like coding, materials science, and robotics, while creative writing remains stubbornly hard—an area Anjney would love to see students attack with carefully curated data sets. On infrastructure, they argue that meaningful frontier research now requires clusters in the 4K-16K chip range, that the training/inference distinction is dissolving into one fungible compute pool, and that GPU price corrections will come through standardization and a "un...

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