ChatGPT doesn’t know its whisk from its elbow
LLMS
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Position Encoding: How Transformers Understand Data Order
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Position Encoding: How Transformers Understand Order in Data
— Satya Mallick (@LearnOpenCV) 22 avril 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore Position Encoding, a fundamental concept that enables transformer models to understand the order of information. Since transformers process… pic.twitter.com/FS8RcTE7DtPosition Encoding: How Transformers Understand Order in Data In this episode of Artificial Intelligence: Papers and Concepts, we explore Position Encoding, a fundamental concept that enables transformer models to understand the order of information. Since transformers process
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AI metrics reshape corporate performance reviews and hiring decisions
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Been hearing wild stuff from folks inside big companies lately. Promotions, firings, and perf reviews are getting decided by tokens consumed and skills/MCPs connected. That’s the metric. That’s how they’re deciding who’s “good at AI.” It gets worse. People are literally running
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Claude Code, Codex, Cursor: Comparing AI Model Sizes
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Currently: – Claude Code is 4x bigger than Codex
– Codex is 2x bigger than Cursor
– Antigravity is almost as big as Cursor (but probably just because all Googlers use it? ) We'll add tagging for other agents asap. (Source: one data point from the @huggingface Hub team. Your -
NVIDIA and Google Expand AI Agent Solutions with Startups
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NVIDIA Inception and Google for Startups are expanding with @coderabbitai and @FactoryAI using Nemotron‑based models on Google Cloud to power autonomous software agents, while @iamAible
, Mantis AI, @photoroom_ML and @baseten are building managed inference solutions powered by -
CrowdStrike Leverages NVIDIA NeMo for Cybersecurity AI Fine-tuning
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@CrowdStrike uses NVIDIA NeMo open libraries on Gemini Enterprise Agent Platform to generate synthetic data and is fine-tuning Nemotron for domain-specific cybersecurity. -
ChatGPT Thinking vs API: How AI Models Process Information
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It was Medium and I'm not 100% sure how thinking works in ChatGPT and whether it was equivalent – I would say it is equivalent to how the API works, so I think ChatGPT thinking would be different.
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Image Quality Comparison: High Resolution vs Low Resolution AI Outputs
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PSA: High (4k) vs Low (1k) quality: both are not bad, but if you zoom in, the high quality has substantially more detail and no errors, while the low quality very notesable issues with text rendering. ChatGPT itself has another layer of complexity for Thinking, but these are
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Claude Code Becomes Pricing Tier Driver for Anthropic
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Claude Code is now valuable enough to be a pricing tier driver, which didn't look true six months ago.
