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Grok’s Analysis of Whether Mamdani Is Related to Epstein May Be the Single Most Amazing AI Response We’ve Ever Seen
Hardware
Feb 4, 2026

Grok’s Analysis of Whether Mamdani Is Related to Epstein May Be the Single Most Amazing

Epstein-linked longevity guru Peter Attia leaves David Protein, and his own startup ‘won’t comment’
Open source
Feb 4, 2026

Epstein-linked longevity guru Peter Attia leaves David Protein, and his own startup ‘won’t comment’

Why Generative AI Is a Game-Changer for Marketers and How You Can Master It
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Feb 4, 2026

Why Generative AI Is a Game-Changer for Marketers and How You Can Master It

UK to probe xAI over its revolting robo-smut generator • The Register
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Feb 4, 2026

UK to probe xAI over its revolting robo-smut generator • The Register

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R-Zero: A Fully Autonomous AI Framework that Generates Its Own Training Data from Scratch
ML applications
4 Min Read

R-Zero: A Fully Autonomous AI Framework that Generates Its Own Training Data from Scratch

By Editorial Team
August 16, 2025
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Salesforce AI Releases Moirai 2.0: Salesforce’s Latest Time Series Foundation Model Built on a Decoder‑only Transformer Architecture
ML applications
4 Min Read

Salesforce AI Releases Moirai 2.0: Salesforce’s Latest Time Series Foundation Model Built on a Decoder‑only Transformer Architecture

By Editorial Team
August 15, 2025
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Dynamic Fine-Tuning (DFT): Bridging the Generalization Gap in Supervised Fine-Tuning (SFT) for LLMs
ML applications
4 Min Read

Dynamic Fine-Tuning (DFT): Bridging the Generalization Gap in Supervised Fine-Tuning (SFT) for LLMs

By Editorial Team
August 15, 2025
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Microsoft Releases POML (Prompt Orchestration Markup Language): Bringing Modularity and Scalability to LLM Prompts
ML applications
5 Min Read

Microsoft Releases POML (Prompt Orchestration Markup Language): Bringing Modularity and Scalability to LLM Prompts

By Editorial Team
August 14, 2025
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From 100,000 to Under 500 Labels: How Google AI Cuts LLM Training Data by Orders of Magnitude
ML applications
3 Min Read

From 100,000 to Under 500 Labels: How Google AI Cuts LLM Training Data by Orders of Magnitude

By Editorial Team
August 10, 2025
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Alibaba Qwen Unveils Qwen3-4B-Instruct-2507 and Qwen3-4B-Thinking-2507: Refreshing the Importance of Small Language Models
ML applications
4 Min Read

Alibaba Qwen Unveils Qwen3-4B-Instruct-2507 and Qwen3-4B-Thinking-2507: Refreshing the Importance of Small Language Models

By Editorial Team
August 9, 2025
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Alibaba Introduces Group Sequence Policy Optimization (GSPO): An Efficient Reinforcement Learning Algorithm that Powers the Qwen3 Models
ML applications
4 Min Read

Alibaba Introduces Group Sequence Policy Optimization (GSPO): An Efficient Reinforcement Learning Algorithm that Powers the Qwen3 Models

By Editorial Team
August 7, 2025
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Google AI Releases LangExtract: An Open Source Python Library that Extracts Structured Data from Unstructured Text Documents
ML applications
5 Min Read

Google AI Releases LangExtract: An Open Source Python Library that Extracts Structured Data from Unstructured Text Documents

By Editorial Team
August 5, 2025
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How to Use the SHAP-IQ Package to Uncover and Visualize Feature Interactions in Machine Learning Models Using Shapley Interaction Indices (SII)
ML applications
5 Min Read

How to Use the SHAP-IQ Package to Uncover and Visualize Feature Interactions in Machine Learning Models Using Shapley Interaction Indices (SII)

By Editorial Team
August 4, 2025
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Tutorial: Exploring SHAP-IQ Visualizations – MarkTechPost
ML applications
7 Min Read

Tutorial: Exploring SHAP-IQ Visualizations – MarkTechPost

By Editorial Team
August 4, 2025
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  • Grok’s Analysis of Whether Mamdani Is Related to Epstein May Be the Single Most Amazing AI Response We’ve Ever Seen
  • Epstein-linked longevity guru Peter Attia leaves David Protein, and his own startup ‘won’t comment’
  • Why Generative AI Is a Game-Changer for Marketers and How You Can Master It
  • UK to probe xAI over its revolting robo-smut generator • The Register
  • A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data

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