Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Great AI Myth: These 3 Misconceptions Fuel It
 Originally published in Forbes, July 29, 2024. The hottest thing...
How to Sell a Machine Learning Project
 Originally published in Built In, February 6, 2024. Never...
The 3 Things You Need To Know About Predictive AI
 Originally published in Forbes, June 29, 2024. Some problems are...
Alphabet Uses AI To Rush First Responders To Disasters—Takeaways For Businesses
 Originally published in Forbes, July 7, 2024. The National Guard...

Left-hand

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 of company dollars — targeted promotions, surge pricing, driver incentives, ETAs, pool matching, upfront rider fares, subscription upsells,

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...

Apple researchers develop AI that can ‘see’ and understand screen context

 Originally published in Venture Beat, April 1, 2024 Apple researchers have developed a new artificial intelligence system that can understand ambiguous references to on-screen entities as well as conversational and background context, enabling more natural interactions with...

A.I. Is Spying on the Food We Throw Away

 Originally published in The New York Times, April 4, 2024 Artificial intelligence is peering into restaurant garbage pails and crunching grocery-store data to try to figure out how to send less uneaten food into dumpsters. A hotel...

This new forecasting model is better than machine learning, researchers say

 Originally published in MIT Management, Sloan School, September 19, 2023 Why It Matters Relevance-based prediction can be used in finance, politics, and sports for more accurate forecasting. What if we told you there was a new financial...

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