Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
How Predictive AI Will Solve GenAI’s Deadly Reliability Problem
  Originally published in Forbes Generative AI too unreliable to...
5 Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes AI is in trouble. Both...
This Simple Arithmetic Can Optimize Your Main Business Operations
 Originally published in Forbes Deep down, we all know that...
Predictive AI Usually Fails Because It’s Not Usually Valuated
 Originally published in Forbes Why in the world would the...

Industry News

Widespread machine learning methods behind ‘link prediction’ are performing very poorly, study shows

 Originally published in US Santa Cruz NEWSCENTER, February 12, 2024 New research indicates that methods used to test the accuracy of link prediction are flawed, and that link prediction does not work as well as common benchmarking tests currently indicate As you scroll through any social media feed, you are likely to be prompted to

AI’s $600B Question

 Originally published in Sequoia Stories, June 20, 2024. The AI bubble is reaching a tipping point. Navigating what comes next will be essential. In September 2023, I published AI’s $200B Question. The goal of the piece was...

Google scrambles to manually remove weird AI answers in search

 Originally published in The Verge, May 24, 2024. The company confirmed it is ‘taking swift action’ to remove some of the AI tool’s bizarre responses. Social media is abuzz with examples of Google’s new AI Overview product...

The Danger Zone in Data Science: Why mediocre ML is so dangerous to the business

 Originally published in Delphina, May 29, 2024. When I (Duncan) was on Uber’s Marketplace team, we would (semi) joke that we were lurching from crisis to crisis. Our dozens of core machine learning products directly controlled billions...

Model Collapse: An Experiment – What happens when AI is trained on its own output?

 Originally published in O’Reilly, October 24, 2023. Ever since the current craze for AI-generated everything took hold, I’ve wondered: what will happen when the world is so full of AI-generated stuff (text, software, pictures, music) that our...

GPT-4 didn’t ace the bar exam after all, MIT research suggests — it didn’t even break the 70th percentile

 Originally published in Live Science, May 31, 2024. Last year, claims that OpenAI’s GPT-4 model beat 90% of trainee lawyers on the bar exam generated a flurry of media hype. But these claims were likely overstated, a...

Amazon exec explains grocery tech changes, debunks media reports about human reviewers

 Originally published in GeekWire, April 17, 2024 In-depth Amazon coverage from the tech giant’s hometown, including e-commerce, AWS, Amazon Prime, Alexa, logistics, devices, and more. Amazon’s grocery technology has been in the news a lot over the...

What can LLMs never do?

 Originally published in Strange Loop Canon, April 23, 2024 On goal drift and lower reliability. Or, why can’t LLMs play Conway’s Game Of Life? Every time over the past few years that we came up with problems...

The ROI on AI: Advisors struggle to get unbiased answers from tech providers

 Originally published in FinancialPlanning, April 8, 2024 Most advisors agree that AI technology can provide efficiencies, whether it be through streamlining workflow or communicating more effectively with clients. However, the jury is out on whether these budding...

Large language models use a surprisingly simple mechanism to retrieve some stored knowledge

 Originally published in MIT News, March 25, 2024 Researchers demonstrate a technique that can be used to probe a model to see what it knows about new subjects. Large language models, such as those that power popular...

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