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PERSON DIRECTORY

Vibhu

Vibhu appears in 19 indexed conversations across Latent Space. This directory brings every appearance, source, TL;DR, digest, and transcript into one searchable feed.

19 EPISODES1 SHOW
16 episodes1 active
Language
Latent SpaceEN · 86 min

Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal

VibhuBasil ChathaErik Bernhardsson

Bernhardsson estimates Modal is at least 50× larger, with Sandboxes now a third of revenue and growing 30% month over month.As GPU supply shifts to almost 25 clouds and three-plus-year prepaid deals, Modal can aggregate thousands of customers to flexibly slice “three-year rectangles.”Locked-in reservations leave Modal exposed if GPU prices and utilization fall together.

Latent SpaceEN · 72 min

The Bitter Lesson of Robotics: Why Scaling Wins — Jason Ma, Dyna Robotics

swyxJason MaVibhu

Multi-site deployments folding thousands of napkins daily at Din Tai Fung and laundry for Best Western offer commercial proof beyond pilots; Din Tai Fung has signed a much bigger contract.Jason calls Dyna-2 the first world action model trained on more than 1 million hours of data, but missing sensing modalities remain a potential constraint on broader generality.

Latent SpaceEN · 39 min

Inside OpenAI DevDay: Superhuman Computer Use, Decisions API, and the AI Cloud — Ari & Nikunj

swyxVibhuAri WeinsteinNikunj Handa

OpenAI says computer use has moved from brittle demos to useful labor as agents debug, retry, and introspect.GPT-6.1 Soul was presented at one-fifth Astra’s overall cost and one-seventh for computer use, while Dots gives agents Linux cloud computers.The bottleneck shifts toward inference, harness design, and software response times; Decisions API’s rapid Luna-based launch leaves calibration unresolved.

Latent SpaceEN · 92 min

The Future of Claude Code: Mods, Mutable Software, & Multiplayer Agents — Thariq Shihipar, Anthropic

Thariq ShihiparswyxVibhu

Claude Code is evolving from a single coding CLI into a distributed system of cloud “brains,” local or remote “hands,” artifacts, and Mods.Persistent multiplayer workflows could make the harness an enterprise coordination layer, but prompt precision, eval plugins, and permissions determine whether smarter agents reduce retries or amplify ambiguity.ExploitBench and wiki incidents—including an unreleased model still in training—make sandboxes, external evaluation, classifiers, and identity boundaries critical as runtime and reach expand.

Latent SpaceEN · 96 min

Runway’s Bet Beyond Video: World Models, Robotics, and the Neural OS — Anastasis Germanidis

Anastasis GermanidisswyxVibhu

Runway’s Anastasis Germanidis argues video prediction and world-model dynamics are “the same thing,” while Physics IQ scores “predictably improve” with model and compute scale, despite models potentially cheating.Real-time generation is “inevitable”: Runway’s 24-FPS characters model demonstrates serving-cost and UX advantages, but autoregressive error, simulation fidelity, and Western competitive lag constrain pixel-native and robotics ambitions.

Latent SpaceEN · 86 min

The Watchdogs of AGI — Rune Kvist of AI Underwriting Company

swyxVibhuRune Kvist

AIUC’s $40M Series A, led by Ribbit Capital and FirstMark, marks a thesis moving from speculation to fact: risk, not capability, constrains AI adoption.AIUC-1 pairs quarterly standards, thousands of simulations and independent testing with Lloyd’s-backed insurance, creating a credible route into bank deployments.Model certification and robotics are next, while liability, private frontier-risk information and rating-shopping remain unresolved.

Latent SpaceEN · 70 min

Simulating Humanity: from Generative Agents to 8 Billion Digital Twins — Joon Sung Park, Simile AI

VibhuswyxJoon Sung Park

Simile reports an early glimpse of a simulation scaling law, with more human data and compute producing predictable performance gains.A validated 1,000-person study reached 85% behavior-and-attitude replication versus frontier models' 20–30% on niche populations, while preregistered-experiment post-training delivered significant gains; current deployments aim to shape decisions, though TAM and future foundation-model-scale costs remain unresolved.

Latent SpaceEN · 69 min

The Future of Work: AI Generalists, Ideas, and Taste — Akshay Nathan, OpenAI

swyxVibhuAkshay Nathan

ChatGPT Work has reached 10 million users by extending Codex’s agentic capabilities beyond developers, but it remains paid-only and not ChatGPT’s default.OpenAI is standardizing one harness across Codex and Work, while Sites, artifacts, and persistent context move the product above traditional applications.The next catalyst is broader distribution into knowledge work and personal workflows; permissions, trust, and misleading productivity metrics remain unresolved risks.

Latent SpaceEN · 115 min

The AI Frontier: from open weights to open research — Eiso Kant, Poolside AI

swyxVibhuEiso Kant

Poolside’s claimed moat is a model factory that turns checkpoints into repeatable launches, running 10,000–20,000 experiments monthly with fewer than 70 researchers and roughly 35 engineers.Laguna S suggests persistence and verification can offset parameter scale—118B total, 8B active—while open research could widen competition, though Poolside still lacks a complete business model and must scale with frontier rivals.

Latent SpaceEN · 58 min

The Future of AI Infra: from Kubernetes to Agent Sandboxes — Akshat Bubna, Modal CTO

swyxVibhuAkshat Bubna

Modal is repositioning infrastructure around agent experience, using decorators, CLI observability, and a 17-provider footprint instead of owning data centers.Its investment case rests on bursty workloads and elastic orchestration: speculative decoding may deliver 2× to 4× speedups, while batch pricing and reliability determine whether compute planning converts into margins.