The lack of full visibility into the Python code the OpenAI family of models runs is baffling to me – I see this from Deep Research sometimes Being able to see the code is such an important tool for verifying the result, and I can't think of a cromulent rationale for hiding it
GENERATIVE AI
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Teachers Embrace LLMs to Personalize Student Tracking
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C'est vrai ! Les profs aussi vont rentrer avec les LLM aussi cette année, ça va beaucoup simplifier le travail. Et surtout je suis curieux de voir comment l'IA peut aider à suivre chaque élève
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Louxor.ai: Educational AI Tool Gaining Parental Support
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C'est très chouette ce que tu as fait, j'espère que plein de parents vont utiliser http://
louxor.ai et inciter leurs enfants à l'utiliser, bravo. -
Mistral AI Model Continues Development and Improvement
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Mistral est évidemment une brique sur laquelle nous nous appuyons. Le modèle est encore perfectible, et nous y travaillons.
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GPT-5 Pro needs transparency in code execution and analysis
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That said, one thing OpenAI needs to do is let me see the analysis being done by GPT-5 Pro. I can't confirm its work without being able to see the python code it ran and what the results were. The fact that the error it spotted was real helps, but the thinking trace is obscured.
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Deep-Thinking AI Models Undersold: Market Potential Unrealized
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GPT-5 Pro and Gemini 2.5 Pro Deep Think are both very impressive models for hard problems. I think they were both undersold during their respective launches, in part because I am not sure the labs themselves really understand the market for a slow, "deep-thinking" model, yet.
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R-4B: Auto-Thinking MLLMs via Bi-Mode Annealing and RL
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R-4B Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning
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ChatGPT Pro subscription value assessment and pricing models
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Only 15/month https://
help.openai.com/en/articles/12
003714-chatgpt-business-models-limits
… so for me, pro is still worth it -
Jet-Nemotron and PostNAS Optimize LLM Efficiency-Accuracy Trade-offs
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Jet-Nemotron & PostNAS: Redefining the Efficiency–Accuracy Frontier in LLMs @NVIDIA
’s latest research introduces Jet-Nemotron, a family of hybrid-architecture LMs powered by Post Neural Architecture Search (PostNAS). Instead of costly pretraining from scratch, PostNAS starts