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GLM-5.2 Is a Turning Point for Open Source Agents

The author of Interconnects believes GLM-5.2 is the first open-weight model that is truly usable in coding agent frameworks, and community benchmarks show it is the only open source model able to compete head-to-head with the latest models from OpenAI and Anthropic. The author tested calling the model in Claude Code via the Fireworks API; overall capability immediately felt usable, but they encountered an issue where the framework sending images to the model caused the API session to break, requiring manual clearing of the context. The author calculates that 204 days separate the release of Claude Opus 4.5 from the release of GLM-5.2, falling within the commonly cited 6-to-9-month performance gap between open source and closed source, and believes this will intensify pricing pressure on heavy token consumers, benefiting the open source model inference and fine-tuning ecosystem.

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Ethan Mollick Tries GPT-5.5 Early: Capability Gains Are Still Accelerating

Ethan Mollick was granted early access to try GPT-5.5 and believes its capabilities have improved markedly; GPT-5.5 Pro completed the same 3D port town simulation task in 20 minutes, compared with 33 minutes for the previous generation, GPT-5.4 Pro. Using Codex together with GPT-5.5 to process a decade's backlog of his own crowdfunding data, he generated a paper including a genuine literature review and statistical methods with just four prompts, and he considers its quality equivalent to a second-year PhD project. He also noted that OpenAI's new image model (sometimes called GPT-imagegen-2) can render high-quality text and images, but that AI still has rough edges in long-form fiction writing, such as florid prose and homogeneous dialogue.

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Ethan Mollick: In the Age of AI Agents, We Can Already See the Outline of "Thing"

Ethan Mollick argues that since late 2025, AI agents such as Claude Code, OpenAI Codex, and OpenClaw have shifted humans from collaborating with AI to managing AI, entering a new stage. He cites benchmarks including the METR long-task curve, GPQA (the strongest AI scores 94%), and GDPval (the latest AI meets or exceeds top humans in 82% of scenarios), showing that AI capabilities are still improving exponentially. He takes the Software Factory built by a three-person team at StrongDM as an example: this model stipulates that code must not be written or reviewed by humans, and each engineer spends at least $1,000 per day on AI tokens. He also mentions that on February 22, a fictional report by Citrini Research triggered market volatility; on February 26, Block announced 40% layoffs; and on February 27, the Pentagon and Anthropic clashed over rules for Claude usage. He believes this week foreshadowed a future in which AI capabilities, markets, employment, and policy are intertwined. Dario Amodei of Anthropic, and Demis Hassabis of OpenAI and Google DeepMind, have all mentioned that recursive self-improvement (RSI) is advancing.

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