An Interview with OpenAI CEO Sam Altman and AWS CEO Matt Garman About Bedrock Managed Agents (50 minute read)
OpenAI CEO Sam Altman and AWS CEO Matt Garman recently sat down for an interview where they talked about Bedrock Managed Agents powered by OpenAI and how that would fit in with OpenAI's deal with Microsoft giving Azure exclusive access to OpenAI models. Microsoft and OpenAI have since amended their agreement to allow OpenAI to serve its products on other cloud providers. Azure's exclusivity was actively damaging Microsoft's investment in OpenAI, so Microsoft needed to do something, even if it meant diminishing Azure's differentiation. OpenAI also released Microsoft from the AGI clause, which means the agreement between the two companies will run until 2032 even if OpenAI achieves AGI.
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Claude Connectors for Creative Tools (4 minute read)
Anthropic introduced connectors that integrate Claude with major creative software like Adobe, Blender, and Autodesk, enabling natural-language workflows, automation, and cross-tool pipelines for design, 3D, and audio production.
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Can agents replace the search stack? (7 minute read)
Giving agents basic search tools results in better quality answers. Encouraging the agent to explore further creates more improvements. Agentic search models can figure out how to surface relevant results, but the training data still dictates the models' sweet spots. Large language models can't evaluate what they don't know, and there's still no real way to compensate for their lack of knowledge.
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Opus 4.7's New Tokenizer: What It Actually Costs (6 minute read)
Anthropic improved Claude Opus 4.7's understanding of inputs with a new tokenizer. While the model price hasn't changed, the same inputs now cost more than previous models. Costs have increased between 12% to 27%, except for short prompts, which have actually become more cost-efficient.
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OpenAI's Q4 2026 IPO Might not Happen (9 minute read)
OpenAI's CFO allegedly doesn't report to the CEO and reportedly has been excluded from financial discussions involving server procurement. The company has committed to enormous infrastructure obligations, but the CFO and board are unsure whether those commitments can be funded. These factors, along with the compressed IPO timeline, make it unlikely that OpenAI will be able to IPO this year.
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Laguna XS.2 and M.1: A Deeper Dive (20 minute read)
Laguna XS.2 and Laguna M.1 are agentic coding models built for long-horizon work. Laguna M.1 is the foundation for the Laguna family of models. Laguna XS.2 is a much smaller model but is still remarkably capable for its size. Both models are free to use for a limited time via Poolside's API and on OpenRouter. The weights for Laguna XS.2 have been released under an Apache 2.0 license.
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The Recurrent Transformer: Greater Effective Depth and Efficient Decoding (5 minute read)
The Recurrent Transformer is a novel architecture designed to overcome the "temporal shallowness" of standard Transformers. By introducing layerwise recurrence, the model uses a combination of temporary and persistent key-value pairs to allow each layer to maintain a continuously updating internal memory. This mechanism enables the model to perform complex, iterative reasoning across a sequence without requiring massive layer stacks.
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AI Worries Have Returned to Wall Street. Now Come Earnings (9 minute read)
Shares of several firms tied to OpenAI dropped on Tuesday after news that OpenAI had missed its own targets for revenue and users surfaced. Investors are worried that OpenAI's massive investment in AI may not produce the blockbuster profits many expect. OpenAI critics have said that certain financing arrangements the company has made are circular in nature, with the company's partners providing funding and the company spending money on computing with that partner. The company has defended its financial footing and says its leaders are aligned on securing computing resources.
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Meta's new AI model shows early promise, but investors want to see Zuckerberg's strategy (5 minute read)
Meta's new AI model, Muse Spark, signals a shift in its AI strategy, moving from open-source to paid access, aiming to boost its ad business and compete in the growing AI market. Analysts are cautiously optimistic, noting Meta's internal testing and investments, despite trailing top performers like Anthropic's Claude. Meta's workforce reduction and strategic hires reflect its intensified focus on AI advancements and infrastructure.
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