AI should feel smart and easy. The new Alteryx One update helps teams move faster and work with more trust. CPO Ben Canning walks through what’s new in the fall release: https://
ow.ly/1UT750XE1et
SOFTWARE
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Alteryx One Fall Release Enhances Team Productivity and Trust
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Voyager SDK v1.5.1 Improves Quantised Model Accuracy
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Voyager SDK v1.5.1: Better Quantised Model Accuracy Without Model Changes
— Axelera AI (@AxeleraAI) 5 décembre 2025
The latests version of Voyager SDK quietly boosts quantisation accuracy — no model changes needed. Just recompile your ONNX model and enjoy better FP32 iso-accuracy out of the box. Smarter compiler,… pic.twitter.com/S02GSPkO3OVoyager SDK v1.5.1: Better Quantised Model Accuracy Without Model Changes The latests version of Voyager SDK quietly boosts quantisation accuracy — no model changes needed. Just recompile your ONNX model and enjoy better FP32 iso-accuracy out of the box. Smarter compiler,
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Easy Tab search launches on Comet platform
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⌘ ⇧ A : Easy Tab search now live on Comet https://t.co/XbALtKXCT8
— Aravind Srinivas (@AravSrinivas) 5 décembre 2025⌘ ⇧ A : Easy Tab search now live on Comet
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OpenAI May Release GPT-5.2 Soon
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BREAKING : OpenAI may release GPT-5.2 as early as December 9 according to The Verge. RedGPT
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Flowise 3.0.12 Release: Gemini 3, Code Interpreter, Structured Output
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3.0.12 is out!
— FlowiseAI (@FlowiseAI) 5 décembre 2025
🍌 Nano Banana Pro
Use Gemini 3 with Nano Banana Pro – with support of multi turn conversation
🖥️ Gemini Code Interpreter
Use built in Gemini Code Interpreter and enables the model to generate and run Python code
📜 Agent Structured Output
Agent node can now… pic.twitter.com/97HLu1CDTa3.0.12 is out! 🍌 Nano Banana Pro Use Gemini 3 with Nano Banana Pro – with support of multi turn conversation 🖥️ Gemini Code Interpreter Use built in Gemini Code Interpreter and enables the model to generate and run Python code 📜 Agent Structured Output Agent node can now support returning structured JSON output More bugfix and details in release note 👇
→ View original post on X — @flowiseai, 2025-12-05 15:38 UTC
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Iterative Refinement Technique
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Technique 7: Iterative Refinement Loop
— God of Prompt (@godofprompt) 5 décembre 2025
OpenAI's research team chains prompts to refine outputs through multiple passes.
Template:
[ITERATION 1]
Create a [draft/outline/initial version] of [task]
[ITERATION 2]
Review the above output. Identify 3 weaknesses or gaps.
[ITERATION… pic.twitter.com/XoT3dKsvZG— Technique 7: Iterative Refinement Loop OpenAI's research team chains prompts to refine outputs through multiple passes. Template: [ITERATION 1]
Create a [draft/outline/initial version] of [task] [ITERATION 2]
Review the above output. Identify 3 weaknesses or gaps. [ITERATION …] -
Role-Based Constraint Prompting Technique
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Technique 1: Role-Based Constraint Prompting
— God of Prompt (@godofprompt) 5 décembre 2025
The expert don't just ask AI to "write code." They assign expert roles with specific constraints.
Template:
You are a [specific role] with [X years] experience in [domain].
Your task: [specific task]
Constraints: [list 3-5 specific… pic.twitter.com/Ek1YIAZXqOTechnique 1: Role-Based Constraint Prompting The expert don't just ask AI to "write code." They assign expert roles with specific constraints. Template: You are a [specific role] with [X years] experience in [domain].
Your task: [specific task]
Constraints: [list 3-5 specific -
WorkOS Stack: Build Something Amazing This Weekend
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Huge thanks to our buds at @WorkOS for supporting the optimism. If you're building something this weekend, start building with the WorkOS Stack. https://
workos.com/?utm_source=no
tboring&utm_medium=newsletter&utm_campaign=q42025
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Using AI Codex to document codebase architecture and data flows
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Not really but my go-to is to ask codex to create a markdown file with all the primitives, code blocks, data flow and mermaid graphs for the codebase/ parts of it. Iterate a bit to got all the info I need For mermaid graphs I’d usually refine them a bit in my own scratchpad:
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Fine-tuning and Serving LLMs: Essential Tools and Frameworks
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Here’s my list: 1. Transformers + TRL – for fine-tuning/ RL on smol LLMs
2. vLLM/ MLX/ llama.cpp for serving them locally – fun for local projects
3. Take it one step further with transformers.js w/ WebGPU backend
4. For remote LLMs w/ agents – OpenAI Agents SDK is pretty dope