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PERSON DIRECTORY

swyx

Host of Latent Space. swyx appears in 56 indexed conversations across Latent Space, No Priors. This directory brings every appearance, source, TL;DR, digest, and transcript into one searchable feed.

56 EPISODES2 SHOWS
56 episodes
Language
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 · 81 min

The $10 Trillion Token Economy — Alex Atallah, OpenRouter & Anjney Midha, AMP

swyxAlex AtallahAnjney Midha

Stripe–OpenRouter reframes the token economy as a security market, with token flows projected at roughly $5 trillion in five years and $10 trillion over ten.OpenRouter’s moat spans over 10 million developers and roughly 10 trillion tokens daily, while frontier labs struggle to turn checkpoints into revenue.Fraud could drive discrete-task pricing and bring-your-own-inference, while the deal accelerates OpenRouter’s roadmap.

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 · 141 min

From InstructGPT to Jev: What Comes After ChatGPT — Diogo Almeida, TypeSafe Co-founder & CEO

swyxDiogo Almeida

Jev introduces TypeSafe’s “System One” or “large programmable” models, using RLCD to target code as the consumer rather than chat.Within less than a week it exceeded 1 trillion tokens per day, suggesting machine-driven adoption where rate limits matter more than waitlists, while the developer-platform thesis remains exposed to workflow reliability and no general long-term support commitment.

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 · 92 min

Recursive Self-Improvement: from Auto Research to Superintelligence — Richard Socher, Recursive

swyxVibhuRichard Socher

Recursive is automating AI research itself, with a system that beat every human and agent on Karpathy’s nanochat in under two days and topped all but a handful of CUDA kernels without deep CUDA experts.The efficiency prize is material—swyx estimates a 10% saving on a billion-dollar cluster at $100 million—but compute, capital, demand and unresolved reward-hacking risks could constrain the pace of takeoff.

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 · 101 min

Inference Is the New Training — Philip Kiely and Ali Taha, Basten

swyxVibhuPhilip KielyAli Taha

Inference remains an early optimization market: on identical hardware, quantization, caching, speculation and traffic tuning can typically deliver 2–4X gains, while production support requires weeks of debugging.The economics move customers from pay-per-token trials to dedicated capacity, as reliability, isolation and workload-specific tuning justify self-saturating infrastructure; faster interconnects and training-integrated optimization remain the next catalysts.

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.