Machine Learning Times
EXCLUSIVE HIGHLIGHTS
GenAI Owns the Hype, but Predictive AI Is Thriving
  EDITOR’S NOTE: This article is adapted from the...
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...

Left-hand

When All You Have Are Decoders, Every Decision Looks Like Generation

 Originally published on towardsdatascience.com, September 29, 2026. Not every decision needs a decoder, generation Is not always a decision TLDR Not every model call needs to generate text. Routing is often a small decision hidden inside a large agentic system, yet many systems ask a decoder language model to generate that choice token by token. A

Exclusive: US military had close call after using AI for false intelligence report, sources say

 Originally published on CNN Politics, September 18, 2026. The intelligence report, circulated across the US military this spring in the midst of the war with Iran, immediately set off alarm bells: A Chinese ship in the Middle East...

Issue 371

 Originally published on deeplearning.ai, September 18, 2026. Dear friends, The loudest voices stoking fears about AI dangers have made tremendous headway in the past two weeks. AI technology has not taken some unexpected, dangerous turn, but the hype...

Tabular LLMs: An Introduction to the Foundation Models That Predict Your Spreadsheet

 Originally published on towards data science, July 24, 2026. A 28M-parameter model you don’t train beats tuned XGBoost. An introduction to tabular foundation models, with an independent reproduction. A tabular foundation model predicts the missing column of any...

Did OpenAI’s New Model “Go Rogue”?

 Originally published on CAL NEWPORT, July 27, 2026. A couple of weeks ago, the AI company Hugging Face ​announced​ that they had discovered an intrusion into their production infrastructure. They didn’t know the source, but noted that large language models...

AI isn’t killing jobs yet: Over 50% of businesses say AI is creating roles as massive upskilling push begins

 Originally published on TechRadar, August 23, 2026. AI is not killing jobs; it is creating more Over half (54%) of UK businesses say AI created new jobs, new study finds A similar amount (58%) plan to raise AI...

The agent evaluation gap: Enterprise AI organizations have a reality-alignment problem, not a coverage problem — and most are shipping to production anyway

 Originally published on venturebeat.com, July 23, 2026. Across 157 enterprises, organizations are granting AI agents more autonomy while trusting the evaluations meant to gate that autonomy less. Half have already shipped an agent that passed their internal evaluations...

The AI jobs apocalypse probably isn’t coming anytime soon

 Originally published on The Guardian, July 15, 2026. Artificial intelligence may not deliver on its promise of vast economic opportunity at a price that humanity is willing to pay In March, Anthropic, the cutting-edge artificial intelligence business that...

What will be left for us to work on?

 Originally published on AI as Normal Technology, July 13, 2026. I had the honor of giving a keynote at the International Conference on Machine Learning in Seoul last week titled “What will be left for us to work...

How I’m Making Sure My Analytics Career Doesn’t Get Eaten by AI

 Originally published on towards data science, July 14, 2026. The analytics career I signed up for five years ago doesn’t exist anymore, and honestly, I am fine with that. Every few weeks, someone at work brings up a...

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