Open Source vs Closed Source AI

Oct 27, 2026

TBPN Gavin Baker on Anthropic's S-1, GPU Prices, and SpaceX

• Gavin Baker Open-weight infrastructure companies are outgrowing OpenAI and Anthropic, according to Baker. Fireworks, Baseten, Together, Modal and Cognition underpin his argument that demand is broadening beyond the major labs. Atreides led …

Oct 26, 2026

20VC 20VC: Satya Nadella on Open vs Closed Models and AI Ownership

• Satya Nadella Nadella suspects most token usage will become commodity usage, alongside a lasting frontier market. Stable tasks can move to open weights or cheaper closed models, especially when customers train on their own traces; he gives no 24-month …

屠龙之术 Wait, Why Another Version Already? — AI in Overdrive, 2026

• 屠龙之术 Open source wins on usage, while closed models still capture most of the spending; the model market has to be judged by both volume and dollars. OpenRouter data cited on the show put open-source models at 71.8% of tokens but 26.9% of spending, versus 28.2% of tokens and 73.1% of …

Delphi Digital Why OpenAI Should Be Scared of Open Source

• Tarun Chitra Robot Ventures led Nous Research’s $90 million round on a thesis that Hermes can own AI’s user relationship. Tarun Chitra compares the opportunity to investing in Phantom or FOMO: harnesses control preferences, context and access to users, while …
• Hermes’s product advantage comes from years of research compounding into better defaults. Tarun argues that Nous’s work on training, inference and context management lets it absorb decisions that OpenClaw leaves to users. His …
• Tommy Enterprise customization gives Hermes a second distribution path alongside its consumer community. Businesses can add permissions, compliance, privacy and internal data connections. Tarun says Microsoft and NVIDIA participated in the …

Oct 23, 2026

All-In AI Cyber Panic, Ken Griffin’s Bubble Warning, The Fall of France?

• Nikesh Arora Open models could redirect AI spending toward infrastructure, but compute scarcity limits enterprise independence. Nikesh Arora says Palo Alto Networks prefers open weights for customization and auditability, yet cannot easily procure globally resilient …

Oct 22, 2026

The a16z Show The Frontier Ideas a16z Wants to Fund Now | Marc Andreessen, Ben Horowitz & Chris Dixon

• The a16z Show On market structure, the panel considers Peter Thiel’s “crypto is libertarian, AI is communist” framing: Dixon believes open source is growing faster than closed models in token consumption, local models may come, and stablecoins are a natural way for agents to pay each other. Marc says the US administration is “100% pro” open source and the Chinese Communist Party’s enthusiasm surprised him; without open source, …

No Priors The New Apex Predator: CrowdStrike CEO George Kurtz on Adversaries Armed With AI Agents

• George Kurtz Open-weight models are becoming sufficient for routine enterprise workloads in Kurtz’s customer conversations. One bank reserves frontier models for “Formula 1” work that generates alpha, while accepting open models three months behind for ordinary …

Oct 21, 2026

All-In Arvind Krishna & Nikesh Arora: Quantum Threat, Open vs Frontier AI, AI Cyber Warfare & SaaS Collapse

• Arvind Krishna Krishna expects open-weight models to capture 75%–90% of token use. His economics: roughly $20–$50 per million tokens versus $1–$2 on owned GPUs after optimization, for a model doing 95% of the work. Cost, …

Bloomberg Podcasts Citadel CEO Ken Griffin Says AI ‘Almost Certainly’ in a Bubble; Trump Has 'Mixed Scorecard'

• Dani Burger AI vendors’ spending plans and customers’ cost discipline are pulling in opposite directions. Dani Burger cites Anthropic’s reported $750 billion S-1 spending plan; Griffin says customers increasingly distinguish expensive …

Oct 20, 2026

168X 168X Talks with Frank Trading: After the AI Trade Ends, Where Is the Next Big Trade?

• Frank Trading Open source is eroding the scarcity value of model capability, but long-term opportunities may still lie with leaders and on-device AI. His claim that “token billing is inevitably coming to an end” means revenue will shift away from token charges, which may currently account …

Oct 19, 2026

20VC 20VC: Bessemer's Sameer Dholakia on $1BN seed funds and AI

• Sameer Dholakia Open models and frontier labs can both become enormous businesses without investors correctly forecasting their market-share split. Dholakia rejects the claim that open models will capture 99% of tokens while closed models capture 99% of dollars. He admits he …

硅谷坐标 Silicon Valley Vector Databricks Co-Founder Ion Stoica: Capital Is AI Labs' Only Moat

• Ion Stoica Open-source models can win market share without catching up to the frontier because “every task has a threshold.” Stoica compares it to driving: if the task is getting from Santa Clara to San Francisco, a car that does 100 miles per hour is enough; a car …

硅谷坐标 Silicon Valley Vector Google DeepMind's Ed Chi: AI's Endgame Is Capability Over Cost

• Ed H. Chi One reason open models caught up with closed models is a Chain of Thought paper he co-authored: open models use CoT to surface and replicate reasoning methods, while major labs are trying to hide chain of thought to make copying harder. He says it is too early to call this settled: distillation has made some capabilities more commoditized, but there is no sign yet that …

Oct 18, 2026

硅谷坐标 Silicon Valley Vector DeepMind's Ed Chi: Future of Personalized General-Purpose Assistants

• Ed H. Chi（纪怀新） He says it is too early to call either the commoditization of capabilities or the trajectory of the gap between open- and closed-weight models. Open models have caught up in part by using methods from the Chain-of-Thought paper he co-authored to study and replicate reasoning. Large …

Oct 16, 2026

Altimeter Capital CNBC Halftime Report with Brad Gerstner - October 15th, 2026

• Brad Gerstner Gerstner’s non-consensus view is that frontier labs are widening, not losing, their lead over open models. He argues that recursive intelligence compounds, “intelligence is the log of compute,” and the leading labs will add the most compute next …

The Compound How OpenAI Could Cause a US Recession | TCAF 264

• The Compound The hosts discuss how cheaper open-weight models could pressure AI labs’ prices. Michael says they cost one-tenth as much and compares choosing a model to choosing a car; Josh says enterprise habits may offer Claude some …

Oct 14, 2026

The a16z Show Can Open Models Keep Up With OpenAI and Anthropic? | Nathan Lambert

• Nathan Lambert Lambert’s literature-based estimate is that distillation helps Chinese labs by a few months, but its role in today’s RL-heavy post-training is hard to establish. His evidence: open post-training recipes are “stuck using a really outdated Qwen model” because it is hard to get the teacher right, and he …
• He opposes government action on distillation, while supporting labs securing their own products if they choose. He questions government involvement in what he calls a terms-of-service violation; labs can cancel access, and restricting models to …
• The open-model economy runs on a slower exponential than closed labs but can end in real ownership — “model weights, no terms and conditions,” and the ability to run them on your own hardware. Closed labs have integrated inference and reach high-value markets like coding first; the revenue there has gone from zero to $100 billion …

Oct 13, 2026

硅谷坐标 Silicon Valley Vector Ion Stoica on Open vs. Closed Source and Infrastructure Startups

• Ion Stoica Open models do not need to match Frontier Lock models across the board; they only need to clear the usability threshold for a given task. Ion uses a car analogy: if all you need is a car that can safely drive between Santa Clara and San Francisco at 100 miles per hour, its …

Oct 9, 2026

No Priors Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin

• Misha Laskin Reflection AI’s wager is that frontier open intelligence requires a full-scale lab, not merely a post-training layer. Misha Laskin says the company grew from roughly 30 to 300 people in a year, assembled pre-training, mid-training, and reinforcement-learning …
• Open models could capture most token volume without eliminating valuable closed-model businesses. Laskin says gateway traffic has flipped in about six months from roughly 70/30 closed/open to 70/30 open/closed, and he expects a Linux-like …

Oct 8, 2026

20VC Cognition vs Factory | Anthropic Under Threat | ElevenLabs Doubles Its Valuation to $22B

• 20VC Reflection’s Beam could fill a strategically valuable gap: a US open-weight model near frontier quality at three to four times lower cost. Dev sees an enterprise proposition that lets customers “have their cake and eat it too,” particularly where Chinese models face regulatory …

Oct 7, 2026

SemiAnalysis Ep. 036 - $200 Buys $12,000 of Opus Tokens, We Bought Every Plan (Tokenomics)

• SemiAnalysis Open models can win large volumes of adequate work without invalidating frontier-model economics. Businesses can rationally assign simpler, margin-sensitive tasks to open models such as GLM-5.3; Jordan Nanos did so when frontier-model …

Oct 5, 2026

Sourcery If an AI Model Can Cheat, It Will | Turing CEO on Reward Hacking

• John Collison Frontier and open-weight AI have complementary roles, with open models said to trail the cutting edge by roughly three to six months. Frontier systems push the ceiling; smaller sovereign models let businesses preserve private knowledge, workflows, and identity at lower …

Sep 28, 2026

All-In Daniel Ek: Life After Spotify, Broken Healthcare Incentives, Catching Disease Early & AI's Potential

• Daniel Ek On AI, Ek favors both open and closed models, declines to take a strong position on pacing, and raises compute as an additional risk variable beyond static model classifications. Spotify uses frontier and fine-tuned models because cost, efficiency and control differ by task; meanwhile, a system using 100,000 GPUs may …

Sep 26, 2026

All-In Anthropic IPO at Risk, Meta’s Muse Pop, Token Prices Fall, Open Source Gains Share, Alignment Fails

• David Sacks Open-source token share flipped from 80/20 closed to 80/20 open in just 12 weeks — the biggest risk factor for Anthropic's S-1. Chamath, discussing the viral Vercel chart: “I don't think we've ever seen a tidal wave [like this] in the history of all technology …

Sep 25, 2026

Hard Fork The Ezra Klein Show: Jensen Huang Thinks A.I. Alarmism Has Gone Too Far

• Jensen Huang The open-model flip is the year's underpriced datapoint: at the beginning of the year, Huang says closed-model tokens were 70% or higher and open-model tokens 20%; now the split is "about seventy-thirty the other way." That flip, China's open-source ecosystem ("they manufacture smart kids in volume"), and the Hugging Face deal anchor his export-control …

Sep 24, 2026

20VC Meta's Muse tops charts; Menlo's AI bubble alarm; Factory at $5B

• 20VC Jev — a classifier rather than a chatbot, introduced by Harry as coming from ChatGPT's inventor, and Vercel's fastest launch — unbundles the cheap end of the LLM API market. Rory's math: ~20% of a $100B (heading to ~$500B) LLM spend is addressable, but at one-fifth the price $20B becomes $4B of revenue for the …