The vast majority of them use deep learning, i.e. ConvNets trained with backprop. It's not LLMs but it is AI.
AI
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Dependency Management Beta Fixes Tested Before Production
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Yeah untangling dependencies has been a painful transition. Current beta fixes this, but still doing some tests before promoting to prod.
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Deep Learning Without LLMs: Neural Net Backpropagation Focus
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It's all based on neural net / deep learning trained with backprop.
But none of it uses LLMs, GPT, or other token-based generative architectures. -
DeepSeek’s Efficiency Gains and Future with Advanced Chips
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DeepSeek doing more with less is impressive. The more important question is what happens when they get the better chips anyway.
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MRI Technology Advancement Reduces Time and Cost
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I wasn't advocating the indiscriminate use of full-body MRIs, but the fact that the technology that makes this possible reduces the time and cost of an MRI exam is intrinsically a Good Thing.
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Claude Code Structures Output but Misses Contextual Business Insights
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The analyzing is still kind of the hard part. Claude Code can structure the output but it can't tell you which insight actually matters for your specific situation.
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Two-tier pricing model: consumer limits versus enterprise growth
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The $100 plan hitting walls on routine knowledge work while enterprise contracts have no visible ceiling is a two-tier product reality that's getting harder to ignore.
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BuildAI: Transforming Ideas into Real-World AI Impact
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From bold ideas to real-world impact—BuildAI is where innovation meets opportunity. Watch this space for more to know how ideas evolve into impact. #BuildAI #AIInnovation #StartupEcosystem #IndiaAI @kavitabha @GoI_MeitY @_DigitalIndia @annaincubator @aalamaram_incub
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GPT Image 2 Now Available on Runway for Image Generation
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GPT Image 2 is now available on Runway. If you can dream it, you can see it. Down to the last detail. pic.twitter.com/uBypCqHjZN
— Runway (@runwayml) 24 avril 2026GPT Image 2 is now available on Runway. If you can dream it, you can see it. Down to the last detail.
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LLMs vs Vision Systems: Neural Nets and Architecture Differences
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Absolutely nothing. They both use neural nets and backprop. But LLMs are generative architectures trained on sequences of discrete symbols. Vision systems used in AEBS and other applications use ConvNets or ViTs trained to detect and classify from labelled samples.