Reap
PulseAugur coverage of Reap — every cluster mentioning Reap across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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Reap launches AI business account server; ScriptMasterLabs adds decision layer
Reap has launched a beta product called the Reap Business Account MCP server, which allows AI clients like Claude Code to interact with a business's live Reap account using their API key. This server enables actions suc…
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English calibration fails Lithuanian MoE models, study finds
A new study on expert-pruned Mixture-of-Experts (MoE) language models reveals that English calibration does not effectively transfer to Lithuanian. When pruning MoE models using English calibration data, Lithuanian comp…
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Author tests local LLMs, finds Qwen models best for coding
The author tested numerous local Large Language Models (LLMs) for coding tasks and found that Qwen models are superior alternatives. After removing less effective models, the author encountered a tier-list video that hi…
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Animoca Brands partners with Reap and Pivota for identity-powered agentic commerce
Animoca Brands, in partnership with Reap and Pivota, has launched a new identity layer and agent platform for personalized commerce. The system, called AIR and Minds, aims to address the challenge of agents proving thei…
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RAZOR method prunes LLM experts without sacrificing reasoning ability
Researchers have developed RAZOR, a novel method for pruning experts in Mixture-of-Experts (MoE) models without significantly degrading their reasoning capabilities. Unlike previous methods that focus on expert frequenc…
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MoE models get smarter pruning, retrieval, and inference efficiency
Researchers are exploring advanced techniques for Mixture-of-Experts (MoE) language models to improve their efficiency and performance. One paper introduces HOPE (Higher-Order Pruning of Experts), a novel pruning object…
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Cerebras offers Qwen 3.8 27B model at 1500 tokens/sec
Cerebras has announced the availability of the Qwen 3.8 27B model on its platform, capable of processing at 1500 tokens per second. The company emphasizes that it serves original, unpruned versions of open-source models…
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AI agents now clip video directly via Model Context Protocol
The Model Context Protocol (MCP) is enabling AI agents to directly interact with tools, streamlining workflows like video clipping. As of August 2026, several video clipping services, including OpusClip, Reap, Submagic,…
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REAP system extracts knowledge from LLMs for AKBC Shared Task 2026
Researchers have developed a system called REAP for the AKBC Shared Task 2026, which focuses on building knowledge bases from language models without fine-tuning. REAP utilizes structured chain-of-thought reasoning and …
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New LorExperts and BTExperts methods compress MoE models effectively
Researchers have developed two new methods, LorExperts and BTExperts, for compressing Mixture-of-Experts (MoE) language models. These techniques aim to reduce the computational cost of deploying MoE models by compressin…
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Users explore extracting MoE experts from Kimi K3 model
A user on the r/LocalLLaMA subreddit is inquiring about the possibility of extracting Mixture-of-Experts (MoE) components from the Kimi K3 model. The user mentions REAP as a tool for expert extraction and expresses a de…
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New method prunes MoE language models using generic text corpora
Researchers have developed a new method called Generic TB-Coverage for pruning sparsely activated Mixture-of-Experts (MoE) language models. This technique addresses the challenge of removing redundant experts without re…
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Kraken acquires Reap for $600M; xAI to merge with SpaceX
Kraken has acquired Reap for $600 million, and Core Scientific reported a Q1 net loss of $347 million. Additionally, xAI is set to merge with SpaceX, rebranding as SpaceXAI.