Recently, Animal Charity Evaluators interviewed me about how I use AI in my work, and how I think AI will affect the animal advocacy movement They also interviewed smarter people than me: Aaron Boddy, Shrimp Welfare Project Hannah McKay, Rethink Priorities Janire Castellano Bueno, Wild Animal Initiative Sagar Shah, Rethink Priorities We all independently came to the same conclusion: if the animal movement doesn't get serious about using AI for animal liberation, we risk being left behind! You can find the interview here:

People often ask me if AI can help them with data analysis and making graphs. To be honest, this isn't something that I have a huge amount of experience in, because I'm a data scientist who makes all of his own graphs. BUT, I have been reading some very interesting pieces by other people who do know about this kind of thing, so I thought I would collect together my 3 favourite, recent blog posts on Using LLMs for charts and graphs, and summarise the common themes.

Myself and 3 other AI consultants are teaching a free 12-week practical course in generative AI. You'll go from beginner to confident user. It's open to anyone working on fixing our food system: promoting plant-forward diets, increasing animal welfare, fighting factory farming or doing right by farmers. It's going well so far: We've had 1000 sign ups! We're actually about to start week 4, on how to spot and reduce AI hallucinations.

AI is transforming everything. How will it transform animal advocacy? Is it going to supercharge our campaigns, or render some of them totally obsolete? Will it help or hurt factory farming? These seem like pretty big abstract questions, but given the pace of AI development, we need to be talking about them. And increasingly, people are! Mostly on the Effective Altruism forum…

Scroll through any thread about AI and you’ll see two loud camps: the cheerleaders and the haters. One side insists AI is pure excitement: innovation, breakthroughs, the future is here! The other insists it’s pure outrage: It's all hype, it ripped off artists, it's causing the climate crisis. Both act like their reaction is the only legitimate one, as if you have to pick a team: thrilled or furious.

"Do I need to learn about neural networks to understand ChatGPT?" I hear this all the time, and have been asked this a few times. I also see people making videos, courses and blog posts breaking down the technical details of how large language models (LLMs) work. People assume that by understanding the technical and theoretical concepts behind these models, they'll gain secret insight into how to use them better.

I'm obsessed with dancing. Specifically, Salsa, Bachata and Kizomba. Dance is obviously good for me in a bunch of ways; it's mild cardio, it's a creative outlet, is a large part of my social life, and of course it's a lot of fun. But it does result in late nights! Just how bad is it for my sleep? Let's find out.

ChatGPT agent has now come to people on the paid £20 a month plan. The shameless YouTube hype merchants are obviously impressed (must be hard having your mind BLOWN literally every few days...), others are disappointed, and others have found some decent use cases. I thought I'd put it to the test myself! Here I share my tests, and most importantly, the…

Last year I completed a six month research contract with The Good Growth Co. They're a brilliant social science think tank that serves the animal advocacy movement and alternative protein sectors in East Asia. We analysed a ton of social media data on how people across Southeast Asia are talking about meat, meat reduction and plant-based diets. To do this, we pioneered the use of…

I feel like every week I see the same debate play out again and again. "Is AI bad for the environment?" It a question on a lot of people's minds. I use AI for basically everything and so do many of my friends, so you can probably guess what my take is. But I've been a bit uncomfortable with how some people dismiss, or outright ridicule honest concerns about AI's environmental footprint.

When ChatGPT can understand human language baffling well, qualitative research could be set for a revolution. In the last few years there has been a flood of papers investigating the potential for Large Language Models (LLMs) like ChatGPT to revolutionise qualitative research. It can help with a variety of steps, from thematic code generation, to code comparison and refinement. It can achieve agreement with human coders in a fraction of the time.

A few months ago I gave a talk at the AI, Animals and Digital Minds conference in London. It was on the exciting new possibilities that have been enabled by AI deep research tools (I've also written about them here). The talk had an interactive workshop component where I had people generating deep research reports for themselves. We discussed tips, tricks and experiences.

Some people schedule meetings in order to avoid thinking. They have a problem at work and they either don't want to or can't figure out themselves. By scheduling a meeting with a bunch of other people, they can hash through it together. It gives them a kick up the arse to get something solved, that they put off on their own.

Recently, I gave a talk at VARC in Manchester on how we can make economic arguments against factory farming and for a plant-forward food system. I discussed a few reports I've written, some written by my team at Bryant, and some great reports by others. The talk was pretty well attended; I actually got last-minute bumped up to the main stage because so many people signed up, which I'm pretty happy about. The talk is accessible to most people; it's basically all pictures, with ZERO equations and almost no economic jargon!

Let's cut the crap: You have to make slideshow presentations all the time for work. You don't like it and would rather be doing actual work. I'm going to show you how you can use AI to make presentations in the fraction of the time. Advice tailored to privacy-concerned professionals Whilst there are brilliant new-generation AI presentation makers like Gamma…

I don't want to be dramatic, but feel like most organisations are thinking about AI wrong. They ask me: "Should I be using ChatGPT, Claude or DeepSeek?" "What are the best words to use in my prompts for fundraising?" What's the best AI tool for my job? They focus on tools. Sure, tools are important. But what is more important is…

"Richie, do you have any app recommendations?" It's a question I've been asked a few times in the last few months by people I coach. Following my policy of "any advice I give 5 times gets a blog post", here are 6 heroes of my workday. Superwhisper Speech-to-text has gotten a massive boost in the Generative AI era, and I love it!

It's barely April, and 2025 has already seen an AI breakthrough that I believe will change the work of nearly every office worker on the planet: AI Deep Research (DR) tools. If you've not heard of them, then stop reading this and go give them a try. You might just spit your drink out. If you've already spat your drink, and are desperate to get even more out of these tools: read on!

The International Energy Agency (IEA) thinks we should all chill out a bit.

Last reviewed and updated 23 march 2025 Since 2023 I’ve been giving free advising to non-profits on how they can leverage AI, particularly generative AI (ChatGPT, Gemini, Claude, Midjourney e…