Divya van Mahajan

OpenAI Says Next Reasoning Model Coming in a "Couple of Weeks" [Ad Free]

ai-daily-brief-podcast

Study Document: AI Daily Brief – OpenAI Reasoning Models, Microsoft Data Center Pullback, and Public vs. Expert AI Attitudes

Overview

This episode of the AI Daily Brief (recorded approximately April 5, 2025) covers three major topics: OpenAI’s accelerated release timeline for new reasoning models, Microsoft’s apparent pullback from data center expansion, and a Pew Research study comparing U.S. public and AI expert attitudes toward artificial intelligence. The host also announces an ad-free Patreon tier. The show is a daily podcast/video focused on significant AI news and analysis. No individual speaker name or academic affiliation is provided beyond the show’s branding.

Source URL: Not available (ad-free Patreon edition)

Prerequisites

  • Familiarity with major AI labs: OpenAI, Google DeepMind, Anthropic, DeepSeek
  • Basic understanding of AI model types: reasoning models vs. general-purpose (non-reasoning) language models
  • Awareness of the competitive AI benchmark landscape (e.g., ARC, coding benchmarks)
  • General knowledge of data center infrastructure and hyperscaler economics (Microsoft, AWS, CoreWeave)
  • Familiarity with semiconductor manufacturing and companies: TSMC, Intel
  • Understanding of survey methodology basics (sample design, expert definition)

Main Points

1. OpenAI Accelerates Reasoning Model Releases

  • Sam Altman announced on X that OpenAI will release O3 and O4 Mini within “a couple of weeks,” with GPT-5 to follow in “a few months.”
  • The original plan had been to ship GPT-5 first as a unified model integrating reasoning and non-reasoning capabilities; that plan has changed.
  • Altman cited three reasons: GPT-5 can now be made better than originally anticipated; integration proved harder than expected; and the company needs sufficient capacity for unprecedented demand.
  • An OpenAI team member (Rohan Pandey) hinted that O3’s chain-of-thought will be visible and enjoyable to read, drawing a comparison to DeepSeek’s publicly appreciated reasoning traces.
  • Pandey also indicated an open-weights model is separately “on its way,” suggesting O3/O4 Mini are not that release.
  • External observers attributed the acceleration to competitive pressure from Google’s Gemini 2.5 Pro and Anthropic’s Claude Sonnet 3.7; the host argues the more significant pressure comes from DeepSeek and China’s broader AI ecosystem.

2. Microsoft Pulls Back from Data Center Expansion

  • Bloomberg reported that Microsoft has delayed or canceled data center construction at six global sites: Indonesia, UK, Australia, Illinois, North Dakota, and Wisconsin.
  • Earlier cancellations of data center lease options had grown from a reported few hundred megawatts to approximately 2 gigawatts of foregone capacity (per TD Cowen).
  • Microsoft declined a $12 billion option with CoreWeave (which represented over 60% of CoreWeave’s revenue); OpenAI stepped in with a deal of equivalent size just before CoreWeave’s IPO.
  • Despite cancellations, Microsoft maintains commitment to $80 billion in AI infrastructure spend for the fiscal year ending June 2025, with a projected CapEx slowdown thereafter as focus shifts to fitting out existing facilities.
  • CoreWeave’s CEO characterized the pullback as localized to Microsoft, tied to the evolving Microsoft-OpenAI relationship.
  • The host’s interpretation: Microsoft (likely driven by CFO Amy Hood) is managing downside risk against potential demand shortfalls or a tariff-induced recession, rather than signaling a fundamental belief that AI demand will collapse.

3. TSMC–Intel Joint Venture Discussions

  • TSMC has reportedly entered tentative partnership talks with Intel to operate Intel’s chip foundries as a joint venture, with other unnamed U.S. semiconductor firms potentially participating.
  • TSMC could take approximately a 20% stake, providing Intel with manufacturing knowledge and personnel training.
  • The arrangement aligns with the Trump administration’s preference to keep Intel viable without ceding control to a foreign majority owner.
  • Intel Foundry posted an operating loss of $13.4 billion in the prior year and does not project profitability until 2027.
  • Intel’s stock rose 6.6% on the news amid a broader tech sell-off, reflecting investor relief that any recovery plan is in motion.
  • New Intel CEO Lip-Bu Tan (referred to as “Lip Bhutan” in the transcript) has been given a mandate to revitalize the company, including spinning off non-core assets.

4. Pew Research: U.S. Public vs. AI Expert Attitudes

  • Pew surveyed 5,400 U.S. adults and a separate cohort of AI experts (defined as authors/presenters at 21 AI-focused conferences in 2023–2024). Data was collected in fall 2024.
  • Overall optimism gap: 56% of experts said AI would be net positive vs. only 17% of the general public; 35% of the public said net negative vs. 15% of experts.
  • Productivity: 74% of experts said AI would make humans more productive; only 17% of the public agreed—the single largest experience/knowledge gap in the survey.
  • Happiness: Neither group was optimistic; only 22% of experts and 6% of the public said AI was very or extremely likely to make humans happier.
  • Jobs: 64% of the public believed AI would mean fewer jobs; only 39% of experts agreed, with 19% of experts predicting more jobs due to new industries.
  • Medical care showed the highest cross-group optimism: 84% of experts and 44% of the public rated AI’s impact as somewhat or very positive.
  • Elections and news showed the lowest optimism: only 9–11% of either group saw positive AI impact on elections; 10–18% saw positive impact on news.
  • Shared concerns: ~66–70% of both groups are highly concerned about AI-generated misinformation; ~55% of both are concerned about AI bias in decisions.
  • Divergent concerns: The public is far more worried about job loss (56% highly concerned vs. 25% of experts) and loss of human connection (57% vs. 37%).
  • The host speculates that the opinion gap has likely narrowed since fall 2024, given ChatGPT’s continued user growth (roughly doubling to 500 million weekly users), but updated survey data will not be available for approximately another year.

Key Concepts

  • Reasoning model: An AI model designed to work through problems step-by-step, often producing visible chain-of-thought traces before arriving at an answer (e.g., OpenAI’s O-series, DeepSeek’s reasoning models).
  • Open-weights model: An AI model whose trained parameters are publicly released, allowing external researchers and developers to run or fine-tune the model independently.
  • Chain-of-thought (CoT): A technique or property of reasoning models in which intermediate reasoning steps are generated and made visible before a final answer is produced.
  • Hyperscaler: A large-scale cloud and data center operator (e.g., Microsoft Azure, AWS, Google Cloud) that builds and leases massive computing infrastructure.
  • CapEx (Capital Expenditure): Funds spent by a company on acquiring or maintaining physical assets such as data centers and servers.
  • CoreWeave: A GPU cloud computing company that leases high-performance compute capacity, heavily dependent on Microsoft as a customer prior to the OpenAI deal.
  • TSMC (Taiwan Semiconductor Manufacturing Company): The world’s leading contract chip manufacturer, responsible for producing chips designed by companies such as Apple, NVIDIA, and AMD.
  • Intel Foundry: Intel’s contract semiconductor manufacturing division, which produces chips for third-party customers and has been operating at a significant loss.
  • Pew Research Center: A nonpartisan U.S. think tank known for public opinion polling and social science research.
  • Benchmark maxing: Colloquial term for AI models that achieve high scores on standardized evaluation benchmarks but may underperform on complex, real-world tasks.
  • Gemini 2.5 Pro: Google DeepMind’s frontier reasoning model, cited as a top benchmark performer and competitive pressure point for OpenAI.

Summary

This episode of the AI Daily Brief reports on a moment of intensifying activity across the AI industry. OpenAI has reversed course on its release sequencing, bringing forward its O3 and O4 Mini reasoning models—now expected within weeks—and deferring the fully integrated GPT-5, citing both technical ambition and infrastructure demand concerns; the competitive backdrop, particularly from DeepSeek and China’s AI ecosystem, appears to be a meaningful accelerant. Meanwhile, Microsoft is visibly trimming its data center construction pipeline, a move the host reads not as a loss of confidence in AI demand but as disciplined financial risk management in an uncertain macroeconomic environment. On the semiconductor front, early-stage TSMC–Intel joint venture talks offer a potential lifeline for Intel’s ailing foundry business, consistent with U.S. policy goals around domestic chip production. Framing all of this is a Pew Research study revealing a substantial optimism gap between AI experts and the U.S. general public: experts are dramatically more positive about AI’s productivity and economic benefits, while both groups share concerns about misinformation and the public remains significantly more anxious about job displacement and social disconnection—a divergence the host expects has begun to narrow as broader AI adoption continues.