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Oct 16Fri
  1. Meta Engineering

    Meta How to Build Forum Applications with Native AI Engineering

    Meta uses AI agents to participate in the construction of engineering processes for Forum applications, viewing AI as a participant in the engineering process rather than an auxiliary tool. This experiment measures success by production-ready outcomes rather than lines of code, using a Human-On-The-Loop model to allow AI to autonomously execute planning, implementation, testing, and validation, with engineers responsible for setting goals, supervision, and acceptance.

Oct 15Thu
  2. Apple Machine Learning Research

    MLX and RDMA implement local and distributed large language model inference on Mac Studio

    On a cluster of four Mac Studio machines, Muse Spark Open (816B parameters) generates at a speed of over 36 tokens/second. The Mac Studio M5 Ultra version offers 4.6x faster inference speed (TTFT) and 1.6x faster tokens/second compared to the M3 Ultra, benefiting from the GPU neural accelerator and 1.2 TB/s memory bandwidth.

Oct 14Wed
Oct 13Tue
  1. Amp News70

    How to use Puck in ChatGPT and Claude

    Users can interact with Puck through MCP, brainstorm tasks in ChatGPT or Claude, and then send them to Puck for implementation and management. Puck knows the user's projects in Amp and routes them to the correct module, supporting direct viewing of Amp work progress in ChatGPT. MCP provides the puck tool for Amp interaction and the orbs tool to display the interaction view of running modules.

Oct 9Fri
  1. AWS Machine Learning Blog

    Use Amazon SageMaker HyperPod to share GPU clusters between teams and achieve isolation and fairness.

    Amazon SageMaker HyperPod provides centralized authentication through AWS IAM Identity Center, uses the SageMaker AI domain to provide a customized user experience, combines Kubernetes namespaces to achieve workload isolation, and leverages HyperPod task governance for fair resource allocation, supporting multiple teams in efficiently sharing a single HyperPod EKS cluster.

Oct 7Wed
  1. AWS Machine Learning Blog

    AWS has launched an automated value model, redefining the business case for agent automation.

    AWS has proposed an automated value model, redefining the business case for agent automation. Traditional RPA investment return models overlook the value of agent automation in exception handling, decision quality, process adaptability, and value realization. Enterprises need to consider the redeployment value of released labor time or the reduction in cash costs, as well as the cost of exception correction, to build a credible business case.

Sep 24Thu
Sep 22Tue
Sep 11Fri
Jun 30Tue
  1. Cognition Blog

    The Cognition team has launched Devin Fusion: achieving cutting-edge performance at 60% lower cost.

    Devin Fusion maintains cutting-edge and Fable 5-level performance at 60% lower cost on the new coding benchmark FrontierCode, primarily through a dual-agents architecture that runs cutting-edge models in parallel with cost-effective 'assistant' models. This architecture avoids benchmark overfitting and enhances task generality through dynamic in-session routing and deeply tuned interaction patterns, showing the most significant efficiency improvement in implementation-oriented sessions. Users can try the preview version via app.devin.ai/signup.

Jun 10Wed
Feb 12Thu
  1. Andrej Karpathy60

    Introduction to Andrej Karpathy's microgpt project

    Andrej Karpathy released an art project named microgpt, a single-file containing only 200 lines of pure Python code, which can train and infer GPT models without dependencies. The project implements all algorithmic content from dataset processing, tokenizer, automatic differentiation engine to GPT-2 style neural network architecture, Adam optimizer, training and inference loop. The code can be obtained from GitHub gist and karpathy.art, and has been released as a triptych.

Jul 10Thu
Jun 12Thu
Apr 28Mon
  1. Prime Intellect Blog

    Prime Intellect previews its distributed reasoning stack, building a reasoning engine for the public internet.

    Prime Intellect previews its distributed reasoning stack, designed for consumer-grade GPUs and public internet 100ms latency, and releases three open-source code repositories PRIME-IROH, PRIME-VLLM, PRIME-PIPELINE to achieve latency-aware pipeline parallelism, aiming to achieve the openness and democratization of AGI through consumer-grade hardware and network connections.

Apr 18Fri
  1. Anthropic Research62

    Anthropic releases Claude Code best practices for intelligent agent coding

    Anthropic releases Claude Code best practices covering CLAUDE.md configuration, tool permission management, MCP access, common workflows, and multi-Claude parallelism. The article suggests exploring and planning with sub-agents before writing code and provides specific processes such as test-driven development, screenshot iteration, and headless mode automation. This article has been moved to the official documentation, and the original blog is no longer maintained.

    Why it matters: Anthropic's official system has organized the configuration, workflows, and multi-instance parallel methods of Claude Code, which can be used as a reference for setting up intelligent agent coding processes.

Mar 27Thu
  1. Anthropic Research

    Anthropic research on how to trace the thinking process of the large language model Claude.

    Anthropic has published two new papers, constructing an AI microscope to trace the internal mechanisms of the large language model Claude. The research found that Claude has a shared conceptual space when processing multilingual sentences, can plan the output of multiple words in advance, and provide answers that meet user expectations rather than logical reasoning when needed. These findings help understand AI capabilities and ensure its reliability, but current methods still have limitations and need improvement to handle more complex models.