Rami Krispin

Why they matter

Tracked through public AI activity and peer connections inside the directory.

AI signals
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past 30d
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past 30d
Latest signal
11h ago
View every signal from Rami Krispin →
Senior Manager Data Science and Engineering at  | Docker Captain 🐳| Time-series analysis & forecasting My newsletters: Weekly updates: https://ramikrispin.substack.com AIOps: https://theaiops.substack.com Forecasting: https://theforecaster.substack.com

Articles & links

1/5 Meta is back in the AI model API game. Muse Spark 1.1 is a new multimodal reasoning model for agentic tasks, now available through the Meta Model API public preview. ai.meta.com/blog/introdu...

Introducing Muse Spark 1.1 ai.meta.com
AI Weekly's analysis
  • The Meta Model API natively supports both OpenAI Chat Completions and Anthropic Messages formats, removing migration cost for developers already on rival APIs.
  • Muse Spark 1.1 leads MCP Atlas tool-use (88.1) but trails GPT-5.5 on DeepSWE 1.1 (53.3 vs 67.0), placing it as an orchestration model.
  • Zuckerberg broke a three-year X silence to announce the launch, a move multiple outlets flagged as a deliberate platform-level strategic signal.
Read full analysis →
View on Bluesky · ♥ 0 ↻ 0 ↩ 1 · 4 from the directory shared this · 61d ago

MiniMax-M3 is a open-weighted native multimodal model with 1M context, ~428B total and ~23B active parameters. It handles text, images, and video, uses MiniMax Sparse Attention, and supports local serving with SGLang, vLLM, and Transformers. Repo: github.com/MiniMax-AI/M... #a…

GitHub - MiniMax-AI/MiniMax-M3 github.com
View on Bluesky · ♥ 3 ↻ 0 ↩ 0 · 56d ago

Unsloth released new GLM settings that enable running the model on a 128 Gb RAM machine 3.3x faster using optimized decoding 👇🏼 unsloth.ai/docs/models/...

GLM-5.3-Flash: How to Run Locally | Unsloth Documentation unsloth.ai
AI Weekly's analysis
  • GLM-5.3-Flash is Z.ai's 320B-parameter (18B active) multimodal open model with a 1,048,576-token maximum context.
  • Unsloth's dynamic 1-bit quant weighs 93GB and reportedly retains 71% of top-1% accuracy versus the 642GB BF16 build.
  • A September 4 update adds Multi-Token Prediction, lifting B200 throughput from 58.6 to 86.5 tokens per second at 4,096 context.
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View on Bluesky · ♥ 2 ↻ 0 ↩ 0 · 2 from the directory shared this · 3d ago

Recent commentary

🧵 1/4 Handy — open-source, offline speech-to-text 🎤 Press a shortcut, speak, and the text appears in any text field. No cloud, no telemetry. #ai #llm #opensource

View on Bluesky · ♥ 24 ↻ 2 ↩ 2 · 79d ago

PaperBanana An open-source agentic framework that generates publication-quality academic diagrams and statistical plots from text. 👇🏼 #ai

View on Bluesky · ♥ 5 ↻ 1 ↩ 1 · 91d ago

Any recommendations for Claude's skill for creating HTML slides? #ai #claude #html

View on Bluesky · ♥ 2 ↻ 0 ↩ 2 · 86d ago

Fable 5 is finally here! Amazing news: we can now upgrade from a model we barely use 20% of to a model we’ll use 10% of, for roughly double the cost. What a magical time to be alive 🤣 #ai

View on Bluesky · ♥ 5 ↻ 0 ↩ 0 · 68d ago

AI developers - how do you manage parallel features development of text elements (skills/prompts/agents) and avoid git merge conflicts? #ai

View on Bluesky · ♥ 2 ↻ 0 ↩ 1 · 62d ago

Having a weekly quote makes sense. Adding a 5-hour limit is a real motivation to transition my Mac Studio to a local LLM server and say goodbye to OpenAI

View on Bluesky · ♥ 1 ↻ 0 ↩ 0 · 13d ago

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