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OpenAI Releases GPT 5.5 Instant Model Version
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🔴 ¡VERSIÓN GPT INSTANT 5.5!
— Carlos Santana (@DotCSV) 5 mai 2026
OpenAI termina su migración a la 5.5 publicando hoy la versión del modelo Instant, el pensado para conversación rápida con el modelo y que aún estaba en la versión 5.3
Poco más que decir. Bueno sí, que si podéis utilizad siempre el Thinking 👍 https://t.co/pAIJ6cs2W4GPT INSTANT VERSION 5.5! OpenAI completes its migration to 5.5 by releasing the Instant model version today, the one designed for quick conversations with the model, which was still on version 5.3 Not much else to say. Well yes, that if you can, always use Thinking
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OpenAI Rolls Out GPT-5.5 Instant as ChatGPT Default Model
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Nice, big update: OpenAI is rolling out GPT-5.5 Instant in ChatGPT as the new default model (very good jumps in benchmark)
— Chubby♨️ (@kimmonismus) 5 mai 2026
The upgrade makes ChatGPT smarter, more factual, more dependable, and better at everyday tasks like image analysis, STEM questions, writing, and… https://t.co/nCVzwAthVX pic.twitter.com/wkCTvfuI4gNice, big update: OpenAI is rolling out GPT-5.5 Instant in ChatGPT as the new default model (very good jumps in benchmark) The upgrade makes ChatGPT smarter, more factual, more dependable, and better at everyday tasks like image analysis, STEM questions, writing, and
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Persistent Visual Memory for Deep Generation in LVLMs
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Persistent Visual Memory Sustaining Perception for Deep Generation in LVLMs paper: https://
huggingface.co/papers/2605.00
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Can Language Models Learn Skills from Context?
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From Context to Skills Can Language Models Learn from Context Skillfully? paper: https://
huggingface.co/papers/2604.27
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Tailscale and SSH Security: A Two-Factor Breach Scenario
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"To get the most out of agent observability, store feedback with your traces. That is what turns agent traces from logs into a learning system."
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Coinbase Cuts 14% of Workforce Citing AI
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Coinbise is laying off 14% of its workforce. One of the main reasons: AI.
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AI Content Moderation Policy Against Violence and Bias
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Observability helps power the agent improvement loop But it's not just observability! It's also feedback! You should be trying to get as much feedback (direct, indirect, generated) into your agent observability platform as possible
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MolmoAct2: Action Reasoning Models for Real-World Deployment
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MolmoAct2
— AK (@_akhaliq) 5 mai 2026
Action Reasoning Models for Real-world Deployment
paper: https://t.co/aKO4mzBqBz pic.twitter.com/6IYcKJtzFKMolmoAct2 Action Reasoning Models for Real-world Deployment paper: https://
huggingface.co/papers/2605.02
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