Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
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,...

Community

Escaping the Prototype Mirage: Why Enterprise AI Stalls

 Originally published on Towards Data Science, March 4, 2026. Too many prototypes, too few products Software development has fundamentally changed in the GenAI era. With the ubiquity of vibe coding tools and agent-first IDEs like Google’s Antigravity, developing new applications has never been faster. Further, the powerful concepts inspired by viral open-source frameworks like OpenClaw are

How Instacart Uses Machine Learning to Suggest Replacements for Out-of-Stock Products

  Originally published in tech-at-instacart Key contributors: Sharath Rao Karikurve, Jagannath Putrevu, Haixun Wang, Allan Stewart and Weian Sheng Imagine this: You’re at home, preparing to rely on Instacart for your grocery delivery. You’ve carefully chosen each item,...

How to Build a Recommendation System at Scale: Insights from Instacart

 Originally published in Data Tinkerer A Senior ML Engineer’s perspective on production constraints, rules vs ML and the workflow behind large-scale recommender systems Following on from previous posts talking to people in the field, today we will be...

Government by AI? Trump Administration Plans to Write Regulations Using Artificial Intelligence

 Originally published on ProPublica, January 26, 2026. The Transportation Department, which oversees the safety of airplanes, cars and pipelines, plans to use Google Gemini to draft new regulations. “We don’t need the perfect rule,” said DOT’s top lawyer....

From Text To Tables: Why Structured Data Is AI’s Next $600 Billion Frontier

 Originally published on Forbes, January 15, 2026. In the current wave of generative AI innovation, industries that live in documents and text — legal, healthcare, customer support, sales, marketing — have been riding the crest. The technology transformed...

Is A.I. Actually a Bubble?

 Originally published on The New Yorker, December 12, 2025. The narrative of boom and bust is familiar—but also out of step with the possibilities of a new technology. Over the past few months, I’ve introduced artificial intelligence into...

The great AI hype correction of 2025

 Originally published on MIT Technology Review, December 15, 2025. Four ways to think about this year’s reckoning Some disillusionment was inevitable. When OpenAI released a free web app called ChatGPT in late 2022, it changed the course of an entire...

Generative AI hype distracts us from AI’s more important breakthroughs

 Originally published on MIT Technology Review, December 15, 2025. It’s a seductive distraction from the advances in AI that are most likely to improve or even save your life On April 28, 2022, at a highly anticipated concert...

At tech mag: Silicon Valley’s belief in AGI is conspiracy theory

 Originally published on Mind Matters, November 5, 2025. At Technology Review, senior editor Will Douglas Heaven offers a corrective to the continuous yelp in legacy media that AGI — machines that think like people — is just around...

Here’s why concerns about an AI bubble are bigger than ever

 Originally published on NPR, November 23, 2025. Perhaps nobody embodies artificial intelligence mania quite like Jensen Huang, the chief executive of chip behemoth Nvidia, which has seen its value spike 300% in the last two years. A frothy...

Page 2 of 90 1 2 3 4 5 6 7 90