Cancelling worked. Anthropic just acknowledged the Claude Code rate limit issue. GitHub issue #41788. Max plan users hitting 100% in 70 minutes
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Terminal agents got surprisingly good this year. Anthropic's Claude Code launched in February,...
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But the effort to stop the spread of leaked Claude Code client code is an uphill battle.
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Agent skills, structured packages of procedural knowledge and executable resources that agents dynamically load at inference time, have become a reliable mechanism for augmenting LLM agents. Yet infer
Long-horizon conversational agents require persistent memory for coherent reasoning, yet uncontrolled accumulation causes temporal decay and false memory propagation. Benchmarks such as LOCOMO and LOC
Agentic AI shifts the investor's role from analytical execution to oversight. We present an agentic strategic asset allocation pipeline in which approximately 50 specialized agents produce capital mar
Hello :). This OSS product is for you (or future-you) who reached the point of wanting to tap into...
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Softmax can become a computational bottleneck in the Transformer model's Multi-Head Attention (MHA) block, particularly in small models under low-precision inference, where exponentiation and normaliz
To harness the power of Language Models in answering domain specific specialized technical questions, Retrieval Augmented Generation (RAG) is been used widely. In this work, we have developed a Q\&A a
When posed with prompts that permit a large number of valid answers, comprehensively generating them is the first step towards satisfying a wide range of users. In this paper, we study methods to elic
[](https://preview.redd.it/is-autoresearch-really-better-than-classic-hyperparameter-v0-zgty2uy3ausg1.png?width=1118&format=png&auto=webp&s=aa1ca48a2422a0f2f69ed00a6cdfeefa87f4037d) We did experiment
After years of focus on building products, I'm carving out time to do independent research again and trying to find the right direction. I have stayed reasonably up-to-date regarding major development
This year I submitted a paper to ICML for the first time. I have also experienced the review process at TMLR and ICLR. From my observation, given these venues take up close to (or less than) 4 months
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Google DeepMind dropped Gemma 4 today: **Gemma 4 31B:** dense, 256K context, redesigned architecture targeting efficiency and long-context quality **Gemma 4 26B A4B:** MoE, 26B total / 4B active per