Tag: Machine Learning
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The Register: Google DeepMind CEO says 2025’s the year we start popping pills AI helped invent
Source URL: https://www.theregister.com/2025/01/22/google_deepmind_ai_drugs/ Source: The Register Title: Google DeepMind CEO says 2025’s the year we start popping pills AI helped invent Feedly Summary: Nobel Prize winner Demis Hassabis thinks human trials will happen soon Clinical trials of the first drugs designed with the help of artificial intelligence could commence this year, Google DeepMind CEO Demis…
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The Register: AWS declares it’s Iceberg all the way until customers say otherwise
Source URL: https://www.theregister.com/2025/01/20/aws_iceberg_support/ Source: The Register Title: AWS declares it’s Iceberg all the way until customers say otherwise Feedly Summary: Cloud giant explains its thinking behind support for Apache open table format AWS bet on the Apache Iceberg open table format (OTF) across its analytics, machine learning, and storage stack as a concerted response to…
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Simon Willison’s Weblog: Lessons From Red Teaming 100 Generative AI Products
Source URL: https://simonwillison.net/2025/Jan/18/lessons-from-red-teaming/ Source: Simon Willison’s Weblog Title: Lessons From Red Teaming 100 Generative AI Products Feedly Summary: Lessons From Red Teaming 100 Generative AI Products New paper from Microsoft describing their top eight lessons learned red teaming (deliberately seeking security vulnerabilities in) 100 different generative AI models and products over the past few years.…
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Chip Huyen: Common pitfalls when building generative AI applications
Source URL: https://huyenchip.com//2025/01/16/ai-engineering-pitfalls.html Source: Chip Huyen Title: Common pitfalls when building generative AI applications Feedly Summary: As we’re still in the early days of building applications with foundation models, it’s normal to make mistakes. This is a quick note with examples of some of the most common pitfalls that I’ve seen, both from public case…
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Simon Willison’s Weblog: Quoting gwern
Source URL: https://simonwillison.net/2025/Jan/16/gwern/#atom-everything Source: Simon Willison’s Weblog Title: Quoting gwern Feedly Summary: […] much of the point of a model like o1 is not to deploy it, but to generate training data for the next model. Every problem that an o1 solves is now a training data point for an o3 (eg. any o1 session…