OpenAI launches new security tools and updates GPT-5.5-Cyber (2 minute read)
OpenAI recently launched an updated Codex Security plugin, GPT-5.5-Cyber (in limited release), a Daybreak Cyber Partner Program, and an open source security initiative called Patch the Planet. Daybreak is a defensive cyber stack for the AI era. OpenAI is promoting Daybreak through a partner model rather than direct broad model access. It aims to embed GPT-5.5 with Trusted Access for Cyber into existing security products and services while keeping access governed through partner systems.
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GLM-5.2 Raises the Bar for Open Models (14 minute read)
TheZvi examined GLM-5.2's capabilities and benchmark results, arguing it represents a significant improvement over previous open models. The analysis positioned it as one of the strongest openly available models while still trailing the leading frontier systems.
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Model Size Scaling in 2023-2031 (21 minute read)
Targeting a particular speed of token generation puts a constraint on the total parameters of the model. If there isn't enough pretraining compute, models will remain smaller. This article looks at these considerations and estimates model sizes feasible for each year between 2023 and 2031. There are many assumptions that go into the estimates, which predict total parameters for models to reach 1.4 quadrillion in 2031.
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Knowledge Agents: Beat Frontier Models with Better Structure (18 minute read)
Anthropic pulled its Mythos model, while the article's author developed smaller agentic models called "knowledge agents" to match larger frontier models. These agents enhance AI by injecting specific, relevant knowledge, performing well even with smaller models like Qwen 3.6 27B. The methodology involves embedding, structuring data, and multiple search passes, successfully augmenting LLMs for specialized queries and proprietary data.
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Moebius (4 minute read)
Moebius is a highly efficient lightweight inpainting framework. The 0.22B model rivals and even surpasses the generation quality of the 11.9B industrial generalist FLUX.1-Fill-Dev. It does this with an under 15x acceleration in total inference time. Moebius liberates real-world image inpainting and AI object removal from parameter bloat.
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Using Codex for Long-Running Projects (18 minute read)
This guide outlines strategies for treating Codex as a persistent workspace that can maintain context across extended projects. It covers workflow management, task decomposition, and techniques for balancing autonomous execution with human oversight.
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Anthropic says Claude may want to see your ID (4 minute read)
Anthropic may require identity verification in certain circumstances starting on July 8. The company has not provided specific examples of when users will be asked to provide government-issued documents. An Anthropic spokesperson claims that the change will only apply to a small subset of users whose accounts are flagged but not outright banned. Anthropic uses Persona as its identity-checking provider.
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Loop Engineering Clearly Explained (7 minute read)
Loop engineering shifts AI development from manually prompting agents to designing autonomous systems that decide what to work on, execute tasks, verify outcomes, and improve over time. The core agent loop is simple, but the hard problems are defining reliable stopping conditions, preventing context rot, designing agent-friendly tools, and building verification mechanisms that can independently judge success.
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