Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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...
How To Overcome The Confidence-Killer That Destroys Most Predictive AI Projects
  Originally published in Forbes When Henry Castellanos first presented...
You Must Address These 4 Concerns To Deploy Predictive AI
 Originally published in Forbes Most predictive AI projects fail to launch into production. The...

Left-hand

Vertical AI – Why a Vertical Approach is Key to Building Enduring AI Applications

 Originally published in Greylock, Dec 6, 2023.  The rise of Vertical SaaS in the past decade has demonstrated the power of industry-specific software, producing dozens of winners like Toast, Shopify, Procore, and ServiceTitan. Yet there are still many markets underserved by Vertical SaaS: foundational industries with intrinsic barriers to technological disruption (e.g. unstructured data, constrained

The Real Research Behind the Wild Rumors About OpenAI’s Q* Project

 Originally published in Understanding AI, Dec 7, 2023.  On November 22, a few days after OpenAI fired (and then re-hired) CEO Sam Altman, The Information reported that OpenAI had made a technical breakthrough that would allow it to “develop...

The Beatles Just Released Their Final Song That Resurrects John Lennon’s Voice with AI

 Originally published in The Byte, Nov 2, 2023. More than 50 years after their breakup, The Beatles have released their final song — and used AI to bring John Lennon’s voice back to life. In an announcement published...

Peak Data

 Originally published in East Wind, Oct 25, 2023. I’m probably not the first person to write about the insane leverage that LLMs confer to engineers, but Stack Overflow’s 28% layoff really got me thinking about the future of human-generated data,...

The World’s Biggest AI Models Aren’t Very Transparent, Stanford Study Says

 Originally published in The Verge, Oct 18, 2023.   No prominent developer of AI foundation models — a list including companies like OpenAI and Meta — is releasing sufficient information about their potential impact on society, determines a new...

Commercializing AI in Healthcare: The Enterprise Buyer Perspective

 Originally published in a16z.com, Oct 12, 2023. What do enterprise buyers in healthcare care about most when evaluating AI products? To answer that question, we interviewed leaders from many of the largest healthcare providers and insurers across...

How to Build An Enterprise LLM Application: Lessons From GitHub Copilot

 Originally published in The GitHub Blog, Sept 6, 2023.  It took us three years to develop GitHub Copilot before we officially launched it to the general public. To go from idea to production, we followed three stages—find...

Spotify Is Going To Clone Podcasters’ Voices — And Translate Them to Other Languages

 Originally published in The Verge, Sept 25, 2023.   What if podcasters could flip a switch and instantly speak another language? That’s the premise behind Spotify’s new AI-powered voice translation feature, which reproduces podcasts in other languages using...

How Google Taught AI To Doubt Itself

 Originally published in The Verge, Sept 20, 2023.   Today let’s talk about an advance in Bard, Google’s answer to ChatGPT, and how it addresses one of the most pressing problems with today’s chatbots: their tendency to make...

How To Make History With LLMs & Other Generative Models

 Originally published in Leigh Marie’s Newsletter, Sept 21, 2023.   Or, I’m getting tired of market maps and am ready for some hotter takes. It’s been well over a year since I published my overview of large language models,...

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