Tag
In this blog post, antirez argues that in the age of AI, programmers should focus on controlling the ideas behind their software rather than reading every line of code, as AI can generate locally optimal code but humans excel at big-picture design and direction.
Antirez announces high probability of merging a branch implementing GLM 5.2 in DwarfStar, which could become the best model for 512GB Mac Studio and potentially run on distributed 128GB MacBooks with 2-bit quantization.
Antirez is consolidating community contributions from DwarfStar to improve Strix Halo support, with final QA and merge expected soon.
Salvatore Sanfilippo (antirez) expresses serious excitement about DwarfStar, a new project for local AI inference, comparing it to the early days of Redis.
The article explores how DeepSeek-V4-Flash, a powerful local model, makes LLM steering practical again, discussing the concept and its implementation in the DwarfStar 4 project by antirez.
Antirez announces DwarfStar 4 (DS4), a local AI tool that runs DeepSeek v4 Flash with asymmetric 2/8 bit quantization on high-end consumer hardware, achieving near-frontier performance. He discusses the project's rapid popularity, future plans for model updates and distributed inference, and the significance of local AI for serious tasks.
antirez announces receiving an M5 Max 128GB MacBook Pro from audreyt to develop DwarfStar4 and experiment with distributed inference across M3 Max and M5 Max hardware.