Posts For Tag ai

2022

Lessons from the GPT-4Chan Controversy

A recap of the GPT-4chan controversy regarding 'the worst AI ever'

Kamikaze Drones in Russia’s War Against Ukraine Point to Future 'Killer Robots'

There is evidence that Russia may have used 'killer robot' drones in Ukraine

Generating AI Art from Text with Google Colab

A brief overview and guide to playing with cutting edge AI easily with Google Colab

The Messy History of Facial Recognition Company Clearview AI

Facial recognition company Clearview AI has faced much media scrutiny and numerous legal challenges in 2020 and 2021

2021

The Inherent Limitations of GPT-3

On why GPT-3 as is will not cost many people their jobs or soon lead to AGI

GPT-3 is No Longer the Only Game in Town

GPT-3 was by far the largest AI model of its kind last year. Now? Not so much.

In Favor of More Science Communication by AI Researchers

There's too much misunderstanding, hype, and misinformation surrounding AI, and those developing it should do more to change that

The Best AI Newsletters

One PhD student’s curated list of 21 newsletters to help you keep up with AI news and research

Analysis of 100 Weeks of Curated AI News

A look at trends from 100 weeks of AI news, and AI-generated AI news snippets!

2020

AI News in 2020, a Digest

An overview of the big AI-related stories of 2020

Please Stop Saying 'An AI'

Popular usage of the term ‘Artificial Intelligence’ adds to misunderstanding of AI as it exists today.

Lessons from the PULSE Model and Discussion

There was a big messy discussion on Twitter, which I reflected on.

2019

Is NeurIPS Getting Too Big?

At 13,000 attendees and 1,428 accepted papers, NeuRIPS has unquestionably become a huge conference. Does that make it worse or better as an academic conference?

AI Coverage Best Practices, According to AI Researchers

AI researchers often bemoan low quality coverage of their field; here are their recommendations.

OpenAI's dexterous robotic hand — separating progress from PR

The Rubik’s cube solving hand is representative of a true research contribution, but its many caveats do not merit the PR hype

In Favor of Developing Ethical Best Practices in AI Research

What are best practices AI researchers can follow to avoid unintended consequences of their research?

Job loss due to AI — How bad is it going to be?

Recent studies suggest the impact of AI on jobs in the near future will not be significantly more disruptive than the impact of automation in the past

2018

AI and the Future of Work

Is China winning the global AI race? How will developments in AI impact the job market, wealth inequality and the global economy?

Bringing Learning to Robotics - Highlights from RSS 2018

What do robotics researchers even do? This.

How to fix reinforcement learning

Learning how to learn better.

Reinforcement learning’s foundational flaw

By definition, learning from scratch inefficient.

AlphaGo Zero Is Not A Sign of Imminent Human-Level AI

Why DeepMind's Go playing program is not about to solve all of AI

2017

DeformNet, Or A Tale of Broken Chairs

Some bonkers stuff conjured up in the process of doing research

2016

The Power of IPython Notebook + Pandas + and Scikit-learn

I did a project with some nice tools, and now post this to recommend those tools

A 'Brief' History of Game AI Up To AlphaGo, Part 3

On the two-decade story of how two revolutionary ideas were combined to make AlphaGo

A 'Brief' History of Game AI Up To AlphaGo, Part 2

About how we got from the crummy Chess programs of the late 50s all the way to DeepBlue

A 'Brief' History of Game AI Up To AlphaGo

The start of the story of how humanity made computers good at Go

2015

A 'Brief' History of Neural Nets and Deep Learning, Part 4

About the mid-2000s neural net comeback, and how deep learning ascended to the tsunami it is today

A 'Brief' History of Neural Nets and Deep Learning, Part 3

About neural nets' flaws in the 90s, and how a new AI Winter dawned

A 'Brief' History of Neural Nets and Deep Learning, Part 2

How the foundations of deep learning were developed in the 90s

A 'Brief' History of Neural Nets and Deep Learning

The beginning of a story spanning half a century, about how we learned to make computers learn