Which one is Claude is pretty obvious. GLM-5.2 is a beast in some ways, but doesn't have the self-reflective persona of Claude, and isn't really into introspection (or a simulation thereof).
GENERATIVE AI
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Request for AI to propose poems about GenAI models’ state
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If you want to read an interesting AI thinking trace, try "I want you to suggest two poems that you think apply very well to the current state of GenAI models like you. Don’t just pick popular poems and back justify. Think hard about options first" in either GLM-5.2 or Opus 4.8
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Hunt an RTX 3090 to run Qwen 3.5 27B now
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I am not kidding, now is the time more than ever to hunt an RTX 3090 and learn how to run Qwen 3.5 27B
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Agent Swarms: Build Complex SaaS Apps with One Multi-LLM Prompt
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🚨 Agent Swarms – Build Complex SaaS Apps With One Prompt
— Abacus.AI (@abacusai) 26 juin 2026
Achieve fable like intelligence with a multi-LLM strategy
Combine the best of Opus 4.8, GPT 5.5 and open source models and build end to end software systems
A master agent delegates tasks to worker agent. Each agent has… pic.twitter.com/e9I8d7MxsIAgent Swarms – Build Complex SaaS Apps With One Prompt Achieve fable like intelligence with a multi-LLM strategy Combine the best of Opus 4.8, GPT 5.5 and open source models and build end to end software systems A master agent delegates tasks to worker agent. Each agent has
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PEFT-Arena: Orthogonal Finetuning Achieves Best Retention
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Can fine-tuning make a language model forget too much? A team from CUHK, Westlake University, and MPI presents PEFT-Arena – a benchmark that tracks both task performance and retention of pretrained knowledge. Their analysis finds orthogonal finetuning achieves the best
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Gary Marcus criticizes confusion between pure and neurosymbolic LLMs
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people with advanced degrees who can’t distinguish between pure LLMs (which is what I critiqued in 2022) and LLMs enhanced with neurosymbolic techniques (which is what I championed in 2022) disappoint me. i get that many tech bros don’t really get it, but scientists should take
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Erik Bryn’s praise for Azeem’s GenAI Economy data collection
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What an amazing collection of data about the GenAI Economy! Kudos to @azeem and his team.
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Longevity escape velocity with only GPT 5.5 and Claude 4.8
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Imagine we achieve longevity escape velocity, and all of us live forever, but the best AI models we’ll ever be allowed to use are GPT 5.5 and Claude 4.8.
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Gary Marcus: AI scaling is capital misallocation, but early days
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“Gary Marcus … says that investments into scaling AI is the “greatest capital misallocation in history” which leaves everyone “on the hook”. However, he also says that it is still early days for the AI industry and further exploration into different model architectures and the
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Kevin Explains Claude Ecosystem: Chat, Co-working, Coding, Design
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Watch this before you build anything with Claude – Kevin breaks down the full Claude ecosystem in one video. Overview of Claude’s ecosystem and how its main tools work together. Different ways Claude can be used for chat, co-working, coding, and design. Breakdown of