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…for Llama 3.1 405B, boasting 969 output tokens/s and a 128k context window. This performance is >10X faster than the median providers. Pricing is set at $6 per 1M input tokens and $12 per 1M output tokens. Claude 3.5 and 3.6 Enhancements:…
…fast on an M4 Max using the mlx-lm codebase (16k lines) as context. A guide on efficiently recomputing the prompt cache is also available. @jerryjliu0 shared a sneak peek of LlamaReport, an agent to create complex, multi-section reports…
…operating systems to optimize resource allocation, facilitate context switching, enable concurrent execution, provide tool services, and maintain access control for agents. LLM Agent Operating System - Rutgers University 2024 - AIOS AI…
…built with NVIDIA: @cursor_ai says its multi-agent software engineering system delivered a 38% geomean speedup across 235 CUDA problems in 3 weeks, a concrete example of agents being applied to systems optimization rather than app…
…2x faster fine-tuning, 70% VRAM reduction, and 9x longer context lengths using Unsloth. New uploads on HuggingFace include GGUF, 4-bit, and 16-bit versions, along with Dynamic 4-bit quants that enhance accuracy by selectively maintaining…
…is the hosted API version of the same base model, with 1M context (vs model-native 256K) plus search/code interpreter integrations (clarification). Architecture + KV-cache implications: Community discussion focused on Gated Delta Networks /…
…models like DistAttention and DistKV-LLM. "Self-Extending Context Window Triumph": @kenakafrosty shared a paper titled 'Self-Extend LLM Context Window Without Tuning', arguing that existing LLMs are inherently capable of handling long…
…interpretability continues to mature from “vibes” into reverse engineering: a thread summarizing Anthropic’s “On the Biology of a Large Language Model” framed current mech interp as uncovering circuits and internal features with a level of …
…past year. SPECIAL NOTE: We are launching the 2025 State of AI Engineering Survey today in preparation for the AI Eng World's Fair in Jun 3-5. Please fill it out to have your voice heard! {% if medium == 'web' %} Table of Contents [TOC] {% …
…model reach the same perf as Llama 2 7B, surprisingly in a chat context. Yann LeCun's highlights: 1) thin and deep, not wide 2) shared matrices for token->embedding and embedding->token; shared weights between multiple transformer blocks". …
…by injecting items into the conversation." Auto truncating context: If going over 128k token GPT-4o limit, then Realtime API auto truncates conversation based on heuristics. In future, more control promised. Audio output from standard…
…and excitement within the AI community. The lack of additional context in the post suggests that the community is eagerly awaiting more information about its capabilities and applications. Qwen coder 32B's Impact and Anticipation: The AI…
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A conversation with Greg Brockman about OpenAI’s path to AGI, alongside our analysis of GPT-5, Codex, and the shift to agentic coding.
Thariq Shihipar on Claude Code’s next era: prompts, harnesses, plugins, and agents—and what it takes to keep pace with the frontier.
Marc Andreessen on the future of the browser, Pi and OpenClaw, and why this wave of AI feels different.
Priscilla Chan and Mark Zuckerberg on Biohub’s plans for frontier AI and virtual biology, and the ambition to cure or prevent disease.
Anima Anandkumar on modeling the physical world, from weather to fusion reactors, and why physics needs more than language models.
John Platt on automating science, tackling climate change, and how the next generation can contribute in the age of AI.
Anthropic brings interactive apps into Claude with an open MCP standard for richer AI interfaces.
What Sam Altman’s town hall reveals about building startups in the age of AI.
Moonshot’s multimodal model brings competitive coding, native image and video understanding, and parallel agents.
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