A locally running deep neural network can turn any image into a playable game, using a small Transformer-like model trained from scratch. The model, running on an RTX 5090, generates game sequences autoregressively with real-time keyboard input, though it currently suffers from poor motion and context issues.
Deep Neural Network Turns Images into Playable Games Locally
Diffusers-workflow lets agents drive GPU image and video generation via MCP
Diffusers-workflow is a declarative engine built on top of Hugging Face Diffusers that allows large language model agents to author, validate, run, and inspect image or video pipelines using JSON documents rather than Python scripts. It exposes an MCP server with approximately 50 tools as the primary interface, enabling unattended agent control over GPU resources.
Cognition uses GPT-6 Astra to help Devin test its own work
Cognition is integrating OpenAI's GPT-6 Astra into its autonomous software engineer, Devin, to improve the efficiency of code review and testing processes. This integration allows Devin to autonomously verify its own outputs and demonstrate functionality through recorded evidence.
Perplexity uses GPT-6 Astra for end-to-end system management
Perplexity has adopted OpenAI's GPT-6 Astra to handle communications, software changes, and production monitoring, allowing the team to check in less frequently than with earlier models.
DSPy 3.4.0b1 moves LM execution to shared engine interface
DSPy 3.4.0b1 shifts language-model execution to a shared engine interface, adding a local CPython interpreter for trusted code and async support in ReActV2. This prerelease replaces experimental 3.3 LM types with native lm15 types and introduces custom Flex code proposals in GEPA.
Claude Code v2.1.269 adds plugin eval, VSCode agent map, and numerous bug fixes
Anthropic released Claude Code v2.1.269, introducing new evaluation tools for plugins, a sub-agent visualization in VSCode, and extensive stability improvements across terminal and cloud sessions.