GPT-6 Astra: More Efficient Reasoning, Harder to Audit?
GPT-6 Astra can deliver better results with fewer tokens. What does its opaque reasoning mean for AI costs, auditability and trust in business applications?
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Insights / Notes from the work
Notes on AI, data and building useful products. What worked, what did not, and what the evidence actually supports.
GPT-6 Astra can deliver better results with fewer tokens. What does its opaque reasoning mean for AI costs, auditability and trust in business applications?
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128k tokens are 96k words in English for ChatGPT 3.5 and 4. The ratio is estimated to be 0.75 words per token. However, the answer is not...
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Today, we release a massive dataset for non-commercial use, i.e. research or personal projects. The dataset covers Amazon product data for all of...
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Tax Shrink is a new online tool that helps owner-operators of Limited companies in the UK calculate and visualise the ideal salary-to-dividend...
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Large-language models (LLMs) are great generalists, but modifications are required for optimisation or specialist tasks. The easiest choice is...
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Recently, OpenAI released GPT4 turbo preview with 128k at its DevDay. That addresses a serious limitation for Retrieval Augmented Generation (RAG)...
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Today, I received access to the new custom GPT feature on ChatGPT, and it appears to do what Sam Altman demonstrated. The implications are...
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OpenAI's DevDay announcement yesterday addresses issues I wrote about in the infeasibility of RAG after building Llamar.ai this summer. Did I get...
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Over four months, I created a working retrieval-augmented generation (RAG) product prototype for a sizeable potential customer using a...
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Learn to harness the potential of ChatGPT4, your virtual programming partner, with nine prompting tips. Improve your programming skills by...
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