Christopher Holloway

Christopher Holloway

Last seen: 11 days ago

Christopher Holloway is the founder and director of Progressive Robot, a UK-based technology company. A full-stack engineer with more than two decades of experience, he works across PHP development, ecommerce, Linux infrastructure, technical SEO and AI automation, and writes here on technology, AI, hardware and software.

Member since Sep 06, 2024

Will AI transform law?

The hype is not supported by current evidence

On the Societal Impact of Open Foundation Models

Adding precision to the debate on openness in AI

A safe harbor for AI evaluation and red teaming

An argument for legal and technical safe harbors for AI safety and trustworth...

AI safety is not a model property

Trying to make an AI model that can’t be misused is like trying to make a com...

Tech policy is only frustrating 90% of the time

That’s what makes it worthwhile

AI Snake Oil is now available to preorder

What artificial intelligence can do, what it can't, and how to tell the diffe...

AI leaderboards are no longer useful. It's time to s...

What spending $2,000 can tell us about evaluating AI agents

Scientists should use AI as a tool, not an oracle

How AI hype leads to flawed research that fuels more hype

AI scaling myths

Scaling will run out. The question is when.

New paper: AI agents that matter

Rethinking AI agent benchmarking and evaluation

AI existential risk probabilities are too unreliable...

How speculation gets laundered through pseudo-quantification

ML/AI Platform Build vs Buy Decision: What Factors t...

An ML/AI platform provides a coherent collection of tools and frameworks to b...

Introducing Redesigned Navigation, Run Groups, Repor...

We’ve been working on these improvements for quite some time, so it’s excitin...

How to Migrate From MLflow to Neptune

MLflow is a framework widely used for its experiment-tracking capabilities, b...

Building LLM Applications With Vector Databases

As a Machine Learning Engineer working with many companies, I repeatedly enco...

Adversarial Machine Learning: Defense Strategies

The growing prevalence of ML models in business-critical applications results...