Machine Learning Times
EXCLUSIVE HIGHLIGHTS
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...

Industry News

What Self-Driving Cars Tell Us About AI Risks

 Originally published in IEEE Spectrum, July 30, 2023.  Five conclusions from an automation expert fresh off a stint with the U.S. highway safety agency. In 2016, just weeks before the Autopilot in his Tesla drove Joshua Brown to his death, I pleaded with the U.S. Senate Committee on Commerce, Science, and Transportation to regulate the use of artificial intelligence in

Meta Plans AI-Powered Chatbots to Boost Social Media Numbers

 Originally published in Ars Technica, Aug 1, 2023.   Amid competition from TikTok, Meta looks to the next frontier of user engagement. Meta is reportedly developing a range of AI-powered chatbots with different personalities, a move aimed at...

ChatGPT’s Performance Is Slipping, New Study Says

 Originally published in Decrypt, July 19, 2023. UC Berkeley researchers found that ChatGPT has not improved over time, and in fact, may have gotten worse. ChatGPT exploded onto the scene late last year, dazzling people with its...

Experimenting with Machine Learning to Target In-App Messaging

 Originally published in Spotify R&D Engineering, June 28, 2023. Messaging at Spotify At Spotify, we use messaging to communicate with our listeners all over the world. Our Messaging team powers and creates delightful foreground and background communications...

Don’t Let Yourself Be Fooled By Data Drift

 Originally published in NannyML, May 31, 2023. If you search for information on ML monitoring online, there is a good chance that you’ll come across various monitoring approaches advocating for putting data drift at the center of...

Introducing Speech-to-Text, Text-to-Speech, and More for 1,100+ Languages

 Originally published in Meta AI, May 22, 2023. Equipping machines with the ability to recognize and produce speech can make information accessible to many more people, including those who rely entirely on voice to access information. However,...

Bloomberg Plans to Integrate GPT-Style A.I. Into Its Terminal

 Originally published in CNBC, April 13, 2023.  Bloomberg LP has developed an AI model using the same underlying technology as OpenAI’s GPT, and plans to integrate it into features delivered through its terminal software, a company official...

JPMorgan Chase Uses a ChatGPT AI-Like Model to Decipher Trading Signals

 Originally published in Interesting Engineering, April 28, 2023. The AI model analyzed speeches from the U.S. Federal Reserve from the past 25 years to determine the nature of policy signals and gain a trading advantage. Analysts at...

What Is ChatGPT Doing … and Why Does It Work?

 Originally published in Stephen Wolfram, Feb 14, 2023. It’s Just Adding One Word at a Time That ChatGPT can automatically generate something that reads even superficially like human-written text is remarkable, and unexpected. But how does it do it?...

We Must Perfect Predictive Models for Generative AI to Deliver on the AI Revolution

 Originally published in VentureBeat, April 30, 2023. Throughout 2022, generative AI captured the public’s imagination. With the release of Stable Diffusion, Dall-E2, and ChatGPT-3, people could engage with AI first-hand, watching with awe as seemingly intelligent systems created art, composed songs,...

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