And yes, Lush/SN used a homegrown Lisp interpreter, to which a compiler was added in the early 1990s.
AI
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Better terminology for multidimensional arrays in machine learning
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Do you have a better name than "multidimensional array" though? The name tensor is convenient, if mathematically inaccurate.
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Tensor Engine History: From Bell Labs to PyTorch
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The tensor engine was first implemented inside SN3 (before it was called Lush) in 1992 at Bell Labs by Léon Bottom and me.
The naming convention has survived to this day in PyTorch and other libraries. The naming of the tensor operations was reused in EBlearn (C++ deep learning -
Industrial Buyers Shift Toward Domestic AI Supply Chain Requirements
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Industrial buyers may follow the path aerospace took three decades ago, where 'made where?' moved from irrelevant to required specification.
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Procurement Teams Evaluate AI Solutions Amid Market Uncertainty
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Dr. Filipe is measured about the forecast: 'It's difficult to predict the future. Let's see. It could change.' But procurement teams are evaluating now.
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Sensor Origin Manufacturing Specs and Supply Chain Resilience
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Whether sensor origin becomes a lasting manufacturing specification depends on how long trade disruptions persist. The conversation is already happening at Hannover Messe 2026 where supply chain resilience is a central theme. Partner content with Tronics. #tronics_ai pic.twitter.com/eLfVCwISar
— Lucian Fogoros (@fogoros) 18 avril 2026Whether sensor origin becomes a lasting manufacturing specification depends on how long trade disruptions persist. The conversation is already happening at Hannover Messe 2026 where supply chain resilience is a central theme. Partner content with Tronics. #tronics_ai
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US AI Capability Edge and Public Trust Paradox
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Model capabilities will always disperse, that is why it is so important to get an edge (while still possible); but also why it is essential not to lose public trust. The biggest potential own goal: the US develops (and funds) the capability, but cannot use it for transformation
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Make No Mistakes: Key Prompt Engineering Strategy
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"make no mistakes" was the key prompt here tbh.
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Apple Attention to Mamba Cross-Architecture Distillation Technique
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NEW paper from Apple. Interesting idea: "Attention to Mamba". The paper introduces a two-stage recipe for cross-architecture distillation from Transformers into Mamba. Naive distillation collapses teacher performance. Their trick: first distill the transformer into a
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AI Potato Counting on Assembly Lines with Minimal Training
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#AI on the Assembly Line: Instant Potato Counting with Minimal Training
— Ronald van Loon (@Ronald_vanLoon) 18 avril 2026
by @IlirAliu_
#ArtificialIntelligence #MachineLearning #ML #MI pic.twitter.com/Z0HPxgGqY6#AI on the Assembly Line: Instant Potato Counting with Minimal Training
by @IlirAliu_ #ArtificialIntelligence #MachineLearning #ML #MI