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Today on Model Behavior, Nina Park and Thatcher Collins examine a major shift in the AI model landscape. We begin with David Silver, the former DeepMind researcher responsible for AlphaZero, who has raised $1.1 billion for his new lab, Ineffable Intelligence. The company aims to develop a “superlearner” that utilizes reinforcement learning to discover knowledge without relying on human-generated data, a move that could bypass the current industry data bottleneck. We also analyze the strategic restructuring of the Microsoft-OpenAI partnership. Microsoft has relinquished its exclusive resale rights for OpenAI’s models, clearing the way for GPT models to integrate with Amazon Web Services and other cloud competitors. This episode explores the technical implications of data-free learning, the financial nuances of the revised Microsoft deal, and how these moves reflect a broader industry push toward technical independence and diversified distribution in the face of mounting legal pressures.
On this episode of Model Behavior, hosts Nina Park and Thatcher Collins discuss two major shifts in the AI industry landscape. First, they detail David Silver’s new venture, Ineffable Intelligence, which has secured $1.1 billion to pioneer AI systems that learn entirely through reinforcement learning rather than human data. Then, the team breaks down the revised agreement between Microsoft and OpenAI, which ends Microsoft’s exclusive resale rights and paves the way for OpenAI models to integrate with Amazon Web Services. They explore the implications for market competition, the quest for artificial general intelligence, and the upcoming legal challenges facing these industry leaders as they navigate a more decoupled and competitive cloud environment.
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[00:00] Nina Park: From Neural Newscast, this is Model Behavior, AI-focused news and analysis on the models
[00:05] Nina Park: shaping our world.
[00:10] Nina Park: I'm Nina Park. Welcome to Model Behavior.
[00:15] Nina Park: This program examines how artificial intelligence systems are built, deployed, and operated in
[00:21] Nina Park: professional environments. Today is April 27, 2026.
[00:26] Announcer: We begin with a significant development in reinforcement learning.
[00:30] Announcer: According to TechCrunch, David Silver, the former deep-mind researcher who spearheaded AlphaZero,
[00:36] Announcer: has raised $1.1 billion for his new startup, Ineffable Intelligence.
[00:41] Thatcher Collins: I'm Thatcher Collins.
[00:43] Thatcher Collins: Mina, it is an enormous seed round, but the technical strategy is what is truly notable here.
[00:50] Thatcher Collins: Silver's moving away from the conventional large language model approach of training primarily on human-generated data.
[00:57] Thatcher Collins: Ineffable aims to create what they call a super-learner, a system that discovers knowledge through trial and error.
[01:03] Thatcher Collins: This is pure reinforcement learning, modeled after how Silver's previous projects mastered games like chess and Go without ever studying human records.
[01:12] Announcer: The level of ambition is remarkably high, Thatcher.
[01:16] Announcer: The company's own documentation suggests this breakthrough could be of the same magnitude as Darwin's laws of evolution.
[01:22] Announcer: From a business standpoint, the scale is just as significant.
[01:26] Announcer: Ineffable raised that $1.1 billion at a $5.1 billion valuation.
[01:33] Announcer: The investor lists include Sequoia Capital, Lightspeed, Google, and NVIDIA.
[01:38] Announcer: Why is the market willing to value a month's old lab at over $5 billion?
[01:43] Thatcher Collins: Because the industry is concerned about hitting the data wall, Nina.
[01:47] Thatcher Collins: We are seeing a finite supply of high-quality human text available for training, and current
[01:53] Thatcher Collins: models are prone to inheriting human biases and inaccuracies.
[01:57] Thatcher Collins: If silver can prove that a model can achieve high intelligence by interacting with a defined
[02:03] Thatcher Collins: environment, essentially teaching itself from scratch, it removes the dependency on human
[02:08] Thatcher Collins: data entirely.
[02:09] Thatcher Collins: It is not just silver. We recently saw Jan LeCun's Amy Labs raise over a billion dollars for similar research.
[02:16] Announcer: While these new research labs are scaling up, the existing power structures are shifting.
[02:22] Announcer: Today, Bloomberg reported that Microsoft and OpenAI have announced a major revision to their partnership.
[02:29] Announcer: Microsoft has agreed to drop its exclusive right to sell OpenAI's models.
[02:34] Announcer: This effectively ends the era where Microsoft Azure was the only cloud provider where enterprises could officially access models like GPT-5 through an API.
[02:45] Thatcher Collins: That change is already rippling through the market.
[02:48] Thatcher Collins: Amazon CEO Andy Jassy described it as a very interesting announcement and confirmed that OpenAI's models will be available on Amazon Bedrock soon.
[02:56] Thatcher Collins: This is a strategic decoupling, Nina.
[03:00] Thatcher Collins: In exchange for relinquishing exclusivity, Microsoft will no longer pay OpenAI a revenue share on the products it resells.
[03:07] Thatcher Collins: It simplifies a relationship that has become increasingly strained as both companies grow into direct competitors.
[03:14] Announcer: There are also specific financial details regarding their long-term trajectory.
[03:19] Announcer: OpenAI will continue to pay Microsoft a share of its own revenue through 2030.
[03:25] Announcer: Interestingly, the companies clarified that these payments will continue, even if OpenAI achieves artificial general intelligence.
[03:32] Announcer: In the previous agreement, those payments were supposed to stop at that AGI milestone.
[03:37] Announcer: It suggests that both parties are prioritizing financial certainty over theoretical benchmarks as they move toward an IPO.
[03:44] Thatcher Collins: It also provides a cleaner narrative for their legal battles.
[03:47] Thatcher Collins: They are currently facing Elon Musk in court, who is seeking up to $134 billion in damages.
[03:54] Thatcher Collins: Musk argues that OpenAI abandoned its non-profit mission by becoming a for-profit entity backed by Microsoft.
[04:01] Thatcher Collins: By loosening the exclusive ties, OpenAI can present itself as a more independent entity.
[04:07] Thatcher Collins: Microsoft, meanwhile, is pursuing its own independence by partnering with other providers like Anthropic to power various co-pilot features.
[04:14] Announcer: So we are seeing a transition from an exclusive alliance to a more standard vendor-partner relationship.
[04:22] Announcer: Microsoft remains the primary cloud provider, but the untethering allows OpenAI to scale its distribution across Amazon and potentially other providers.
[04:33] Announcer: It feels like a maturation of the AI market, Thatcher.
[04:36] Announcer: The initial phase of experimental exclusive deals is giving way to a more traditional model of broad enterprise distribution.
[04:44] Thatcher Collins: Precisely. Whether it is David Silver's move toward data-free learning or OpenAI's move toward cloud independence, the focus is shifting to sustainability and scale.
[04:57] Thatcher Collins: The industry is no longer just chasing the next biggest model.
[05:01] Thatcher Collins: It is figuring out how to build and sell them without being bottlenecked by human data
[05:06] Thatcher Collins: or single-vendor limitations.
[05:08] Thatcher Collins: It is a pragmatism that was missing from the early hype cycles.
[05:12] Announcer: Thank you for listening to Model Behavior.
[05:14] Announcer: You can find more at mb.neuralnewscast.com.
[05:18] Announcer: Neural Newscast is AI-assisted, human-reviewed.
[05:22] Announcer: View our AI transparency policy at neuralnewscast.com.
[05:26] Nina Park: This has been Model Behavior on Neural Newscast.
[05:29] Nina Park: Examining the systems behind the story.