To add: The "memory" mentioned here isn't just "chat history." Whether the agent can remember your projects, toolchains, preferences, pitfalls, and reusable practices long-term, and continue using them across Codex / Claude Code / Hermes. If you're working on agent workflows,
AI
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Paper: Differences Between AI and Human Narrative Styles
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There is a lot being written about the stylistic tells of AI writing (em-dashes, etc.) but this paper looks at AI narrative tells Fascinating differences between AI & human narrative, and asking AI to write in different styles doesn't do much to change it https://
arxiv.org/abs/2604.03136 -
On-Device AI Chip Architecture Cannot Scale to Frontier Models
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the “chip is the model” makes zero sense except for toys and niche stuff this WILL NOT scale up to Kimi K2.5 level otherwise OpenAI/Anthropic/Nvidia/Google would have jumped on it a long time ago lol x.com/kylecompute/st…
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Krea 2 AI Image Generator Now Available on Replicate
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Krea 2 from @krea_ai is available on Replicate. Generate high-fidelity, creative images with aesthetics first in mind.
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Lem and Adams’ Fictional AIs Predicted Modern AI Themes
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Lem & Douglas Adams got AI right Presciently Golem XIV (from 1981) has an illustration of the jagged frontier as explained by an AI, Golem (GENERAL OPERATOR, LONG-RANGE, ETHICALLY STABILIZED, MULTIMODELING), discussing itself and a smarter AI (Honest Annie) compared to people
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BIGAI’s NPR enables parallel reasoning in LLMs via self-distilled RL
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What if LLMs could think in multiple directions at once, not just step by step? BIGAI introduces NPR: a teacher-free framework that lets LLMs self-evolve genuine parallel reasoning. Instead of emulating sequential logic, it uses self-distilled reinforcement learning and a
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Looping transformer layers boosts AI language model efficiency
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What if you could make AI language models smarter by reusing the same layers over and over? Researchers from KAIST, KRAFTON, and UC Berkeley present LoopMDM（Looped Diffusion Language Models）. They selectively loop early-middle transformer layers in masked diffusion models—no
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Cursor’s frontier model with 100x fewer resources than Google
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it is wild that Cursor trained a model closer to the frontier than Google with 100x fewer people and (guessing) ~100x less compute i am surprised this was even possible. also praying for the Gemini comeback ofc
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Raising capital in 2024 for Llama 3, now dead on arrival
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Imagine having raised in 2024 and spent the capital in doing this for llama 3 and putting that out on the market now Dead on arrival.
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ChatLLM: Best AI Model Selection Guide by Use Case
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ChatLLM – Use The Best AI For Your Use Case Front-end coding – Opus 4.7 Back-end coding – GPT 5.5 xHigh
Visual understanding- Flash 3.5 Cheap – DeepSeek Flash – Seedance 2.0 Image – GPT Image-2.0 Voice – Flash Live
Writing – Gemini 3.1 Pro
Real Time – Grok 4.3 ALL