You don’t build an AI strategy by chasing the next model. You build it by fixing your data. Before you can scale AI, you must first engineer trust into your data — enforce hygiene, design robust infrastructure, and embed governance. Pilots are easy; production is hard.
DATA
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Chatbot Data Privacy: Default Stateless Architecture Prevents Training
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It's very easy to not train on data that people paste into chatbot – that's the default of how they work, they are stateless systems Training on that data requires deliberate engineering
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Data Privacy as Competitive Advantage in AI Market
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Given how competitive the AI space is I expect "we don't train on text provided by your employees" to be a key feature for winning paying customers – and it is, almost all the labs promote that for their paid accounts
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Tracking Sentiment Data Sources and Suggesting smol_ai
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who do you track for sentiment data source? may i suggest the @smol_ai one?
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LLMs Learn Well-Formulated Information: Task Formulation Over Technique
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It's incredible that anything we can formulate well, LLMs can learn it. There are thousands of "high-quality information sources that are yet to be llmfied". All along, it seems it has been more about "task formulation & data curation" than specific training techniques. On the
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Transforming Knowledge for LLM-First Applications and Education
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Transforming human knowledge, sensors and actuators from human-first and human-legible to LLM-first and LLM-legible is a beautiful space with so much potential and so much can be done… One example I'm obsessed with recently – for every textbook pdf/epub, there is a perfect
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User Data Usage in AI Model Training: Opacity and Concerns
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If they're just dumping text from my chat sessions into their future training runs then I expect it can learn new facts from them – but they're so vague with their language, maybe they're using user data in a different more subtle way than that?
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Anthropic to Train AI on User Data
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According to The Verge, Anthropic will start training its AI models on user’s data who didn’t explicitly opt-out. Following the trend
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Text2SQL in watsonx.data: Natural Language to SQL Generation
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Say hello to Text2SQL in watsonx․data intelligence. Simply describe what data you need in plain English and let Text2SQL generate the SQL query. No more IT bottlenecks Faster insights Democratized data access Check it out
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MIT’s VaxSeer AI Predicts Dominant Flu Strains for Better Vaccines
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A new AI system from MIT could make flu vaccine strain selection more accurate. Trained on decades of data, "VaxSeer" predicts dominant flu strains and IDs the most protective vaccine candidates. Its recommendations often outperformed/matched the WHO’s: https://
bit.ly/3HQwoUP