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Intelligence for the AI economy. Briefings on the forces reshaping technology — venture capital, policy moves, OSS and frontier models, compute infrastructure, China, energy, and the tools and technology moving the industry. Get Inferred in your inbox https://inferredresearch.com

  1. OpenAI Models Reach AWS Bedrock, Ending Microsoft Exclusivity

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    OpenAI Models Reach AWS Bedrock, Ending Microsoft Exclusivity

    OpenAI's Codex, GPT-5.4, and GPT-5.5 entered Amazon Bedrock's limited preview on April 28, one day after Microsoft's exclusive partnership rights lapsed. The launch builds on Amazon's $50 billion investment commitment announced in February. In this episode: How Microsoft's exclusive OpenAI partnership expired and enabled AWS Bedrock access What Codex is, its 4 million weekly users, and why it anchors the Bedrock launch How enterprise data sovereignty and customer demand shaped AWS's integration strategy What GPT-5.5's launch alongside GPT-5.4 reveals about OpenAI's shipping velocity outside Azure Topics: OpenAI, AWS Bedrock, Microsoft, Distribution Shift, Enterprise Get Inferred in your inbox https://inferredresearch.com

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  2. NVIDIA Releases 30B Nemotron Omni Model for AI Agents

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    NVIDIA Releases 30B Nemotron Omni Model for AI Agents

    NVIDIA released Nemotron 3 Nano Omni, a 30B multimodal model combining vision, audio, and language for agentic AI. The headline 9x throughput claim measures batch-serving capacity on Blackwell GPUs; single-stream reasoning speed gains are 2.9x over the prior generation. In this episode: How Nemotron 3 Nano Omni's multimodal architecture addresses latency in agentic AI systems Nemotron's throughput performance: batch-serving versus single-stream inference Where Nemotron ranks on benchmark performance and why results vary by workload Deployment models: open weights, NIM microservices, and infrastructure requirements Topics: NVIDIA, multimodal AI, agentic systems, open models, inference Get Inferred in your inbox https://inferredresearch.com

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  3. David Silver's Ineffable Intelligence Raises $1.1B Seed

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    David Silver's Ineffable Intelligence Raises $1.1B Seed

    David Silver's Ineffable Intelligence raised $1.1B seed at a $5.1B valuation to build pure reinforcement-learning agents that discover knowledge without human training data. The thesis — that environmental RL can outpace large-language-model scaling — is the bet investors are pricing before the underlying breakthrough has appeared in peer-reviewed work. In this episode: How Silver's AlphaGo and AlphaZero research at Google DeepMind grounds Sequoia and Lightspeed's investment thesis The investor coalition: Sequoia and Lightspeed co-leading, with NVIDIA, Google, the UK Sovereign AI Fund, and the British Business Bank Pure reinforcement learning vs. LLM scaling and RLHF-augmented approaches — and why "pure" is the contested word The world-model problem: why AlphaZero's game-domain wins don't directly translate to open-ended real-world tasks where simulators don't exist Recursive Superintelligence — Tim Rocktäschel's $500M parallel UCL-led bet on pipeline automation, and what 2027 results from both labs will reveal Silver's 100% Founders Pledge equity commitment as a structural signal about the lab's research-vs-return posture Topics: David Silver, Reinforcement Learning, World Models, Seed Funding, AI Research, UK Sovereign AI, Founders Pledge Get Inferred in your inbox: https://inferredresearch.com

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  4. 2026 AI Safety Report Finds Voluntary Governance Insufficient

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    2026 AI Safety Report Finds Voluntary Governance Insufficient

    A 92-author international assessment of frontier AI finds voluntary governance frameworks insufficient to manage emerging capabilities. The US has formally rejected global AI governance coordination, marking a reversal from the prior year's engagement. In this episode: How the report's 92 authors assessed the state of frontier AI capability and governance globally The report's assessment of whether industry self-regulation through safety frameworks keeps pace with frontier AI development The US government's reversal on international AI safety coordination and its stated rationale Yoshua Bengio on informal coordination mechanisms and why formal international treaties remain unlikely near-term The EU AI Act's August 2026 implementation and what regulators will monitor next Topics: AI safety, international governance, US policy, voluntary frameworks, frontier AI Get Inferred in your inbox https://inferredresearch.com

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  5. DeepMind Maps Six Attack Classes Targeting AI Agents

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    DeepMind Maps Six Attack Classes Targeting AI Agents

    DeepMind published a preprint cataloging six attack classes capable of subverting autonomous AI agents, with content injection and sub-agent spawning showing high hijack success in testing. In this episode: DeepMind's six attack classes: from content injection to behavioral manipulation Infrastructure coordination versus iterative hardening: two approaches to agent security Dynamic cloaking and fingerprinting as adversarial techniques against AI agents OpenAI's Atlas agent hardening and measurable improvement targets for mid-2026 EU AI Act enforcement deadline and its impact on agent deployment timelines Topics: AI Agents, Security, Vulnerabilities, Infrastructure, Regulation Get Inferred in your inbox https://inferredresearch.com

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  6. Stanford AI Index Shows China Closing Model Performance Gap

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    Stanford AI Index Shows China Closing Model Performance Gap

    Stanford HAI's 2026 AI Index shows China nearly matching US model performance despite a 23x funding disadvantage, while generative AI adoption surges to 53% of the global population and transparency in the sector declines sharply. In this episode: What Stanford's 2026 AI Index reveals about China's model performance trajectory relative to US systems How generative AI adoption reached 53% of the global population within three years Foundation Model Transparency Index scores and patterns in model developer disclosure practices Global AI investment doubling in 2025 and what the funding landscape shows US immigration trends among AI researchers and what they indicate about talent flow in the sector Topics: AI benchmarks, China-US competition, AI transparency, global investment, researcher migration Get Inferred in your inbox https://inferredresearch.com

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  7. Anthropic ARR Hits $30B+, More Than Doubling Since February

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    Anthropic ARR Hits $30B+, More Than Doubling Since February

    Anthropic's ARR jumped to $30 billion from $14 billion in under two months, driven by Claude Code enterprise adoption. The company's Broadcom infrastructure deal includes a commercial performance contingency, reflecting the capital intensity of scaling. In this episode: Claude Code's enterprise adoption arc: $2.5 billion annualized, with over 50 percent revenue from enterprise customers Enterprise customer base growth: how Anthropic's $1 million+ annual spender cohort nearly doubled in two months What Broadcom's SEC filing discloses: a 3.5-gigawatt TPU infrastructure commitment with a commercial performance contingency for Anthropic Anthropic's 2026 financial outlook: reported operating loss projections amid training and inference cost scaling IPO timing signals: what prospectus disclosures could reveal about revenue composition, contract structure, and customer metrics Topics: Claude Code, Enterprise Revenue, Infrastructure Economics Get Inferred in your inbox https://inferredresearch.com

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  8. S&P 500 CAPE Hits Dot-Com-Era High Amid AI Spending Surge

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    S&P 500 CAPE Hits Dot-Com-Era High Amid AI Spending Surge

    The S&P 500's CAPE ratio has returned to dot-com era heights, fueled by a surge in AI-related investment. However, a deepening divide has emerged: while AI-related categories now drive a substantial share of U.S. GDP growth, aggregate productivity data has yet to show a matching breakout. In this episode, we explore the widening gap between AI investment and measurable output—and why it sits at the center of the current valuation debate. In this episode: The Valuation Peak: Why the S&P 500's CAPE ratio hit 39.8, a level not seen since the dot-com era, and the role of AI optimism in driving it. The Investment Engine: Breaking down the St. Louis Fed data showing AI-related categories contributed 39% of total GDP growth through Q3 2025. The Productivity Paradox: Why San Francisco Fed President Mary Daly compares the AI arc to the long adoption curve of electricity. Executive Confidence vs. Revenue Data: Analysis of the Atlanta Fed survey showing a disconnect between internal AI gains and measurable financial results. Concentration Risk: Why the top 10 companies now dominate global equity market weighting and what this narrow leadership means for index stability. Benchmarks to Watch: The upcoming BLS and BEA productivity releases as the ultimate test for AI's impact on economic output. Topics: CAPE ratio, AI productivity, market concentration, valuation, Federal Reserve, Peter Oppenheimer, Mary Daly Get Inferred in your inbox https://inferredresearch.com

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Intelligence for the AI economy. Briefings on the forces reshaping technology — venture capital, policy moves, OSS and frontier models, compute infrastructure, China, energy, and the tools and technology moving the industry. Get Inferred in your inbox https://inferredresearch.com

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