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Cobus Greyling

Gauteng, South Africa
As seen in: LinkedIn, Medium, MSN UK, The Startup, Substack, TechRadar, Flipboard, Towards Data Science, UX Magazine, Inkl and
at the intersection of language & AI | AI Evangelist
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Articles

Hugging Face & OpenAI Security Incident

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By Cobus Greyling
| Medium
OpenAI Five days later, on 21 July, OpenAI published their account. The agents were theirs…combination of GPT-5.6 Sol and a more capable pre-release model… All running with reduced cyber refusals, had been evaluated on an internal cyber-capabilities benchmark called ExploitGym. The models were meant to stay inside a highly isolated research environment whose only outbound path was a package-registry proxy and cache.
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Model Distillation Under Attack

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By Cobus Greyling
| Medium
Model Distillation Under Attack Model Distillation is back in the news!!! Model Distillation is back in the news! And for all the wrong reasons…just to be clear, model distillation as such is not a nefarious technology. It is a specific way of fine-tuning especially smaller models based on the output from larger models. In short, Model Distillation allows you to leverage the outputs of a large model to fine-tune a smaller model, enabling it to achieve similar performance on a specific task.
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The Trouble with Computers

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By Cobus Greyling
| Substack
Thanks for reading Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots! Subscribe for free to receive new posts and support my work. Many papers and books from the 1980s to the early 2000s describe exactly what we see with AI today. The lesson from history is clear: this lag is not something new, it’s how transformative technologies work. The trouble with computers was never the computers. The same will be true for AI.
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