You can just do things01

You can just
do things.

Alex Chambers-Jones

alexcj.co.uk
Careers / Questions afterwards
First / A quick disclaimer02

Survivorship bias.

  • Roughly 50% of startups fail.
  • Some of my attempts failed too.
  • Had they all failed, you wouldn’t be hearing me talking about them!
  • AI is crazy, and the world is changing quickly.
An aircraft diagram showing bullet holes on the planes that returned.
The story / Teenage years03

I did a lot of programming.

The story / Leaving school04

Then I left Berkeley.

  • I had a place at Bristol University to study Physics.
  • I delayed it by a year for medical reasons — I needed to rest.
  • I got bored very quickly.
The story / Nuenki05

“That’d be fun.”

  • I was interested in languages.
  • I decided to make a tool that used fancy probabilistic data structures to estimate the difficulty of sentences on webpages, then translate ones at your level to another language, so you learn by immersion.
  • For the first time, I would actually sell it.
  • Near-zero strategic thinking.
The story / Meanwhile, Metaculus06

Metaculus AI Forecasting Tournament

  • Metaculus is a prediction platform.
  • They were running a tournament to build AI bots to predict the future.
  • I didn’t do it: “Markets are efficient; I have no edge; it’s not worth my time.”
  • This was very stupid, because markets are not efficient.
Metaculus question: Will there be human-machine intelligence parity before 2040? A forecast chart rises to 97%.
The story / Selling Nuenki07

I built the language tool.

  • It was technically good.
  • It made some money, but not loads: 20 paying customers.
  • My personality is very, very bad at selling to normal people.
  • “Don’t sell to consumers” was common wisdom. I knew that and ignored it, and the common wisdom was correct!
The story / Translation research08

But I did some research.

  • I needed research, couldn’t find it, and did it myself.
  • I wrote a blog about what I found.
  • It was ridiculously low-hanging fruit.
Alex’s Nuenki blog post: The more LLMs think, the worse they translate.
The story / Unexpected attention09

The world is smaller than you think.

  • Nobody else was doing AI translation research.
  • I was invited to do a paid talk at a company, and random Japanese professors emailed me to chat about it.
The story / Actually entering Metaculus10

Let’s try Metaculus.

  • I built something super simple.
  • It turns out that nobody else was trying.
  • I came second place. Good to know! Let’s keep at this.
The story / Polymarket11

I tried building something to trade Polymarket.

  • That failed.
  • Sometimes things fail!
The story / More translation12

A fancy translation system.

  • I got a few business customers.
  • Then I realised that building a translation company when I don’t know any other languages is patently stupid.
  • I focused on forecasting instead.

It does translate poetry very well, though. Still a good party trick when I meet someone who actually speaks the language!

Nuenki Platform, including the English poem in the translation interface.
The story / University & Exa13

University was Basically Fine

  • I emailed Exa for higher rate limits for my bot.
  • The website said higher limits were for business users only. They raised the limits anyway. Cold emailing works!
  • They offered me an internship, pending legal being OK with a British citizen.
  • Then they never got back to me.

Again: failures are very normal.

The story / Invisible College14

A random Twitter post.

  • Invisible College, by Works in Progress.
  • I read enough WIP to write a good application.
  • It took 20 minutes. I got in.
  • I was way too modest. American norms are different!
Ben Southwood’s actual Twitter post opening applications for Invisible College 2026.
The story / Invisible College, Cambridge15
The Invisible College group in a sunny Cambridge college courtyard.
The story / The people16

Jasmine and Jeremy

Jasmine and Jeremy punting together in Cambridge.

Jasmine · 20

  • An incredibly accomplished, intelligent AI safety researcher.
  • She encouraged me to get into AI safety, explained the routes, and gave me a very useful reference.
  • She knows everyone in AI safety.

Jeremy · 20

  • An economics student in America.
  • He knows everything about AI economics.
  • He seems to know everyone in the San Francisco Bay Area.
The story / People I met17

Lots of other people:

  • Isha — AI biosecurity
  • Rose — aerospace engineering
  • Jack — Cambridge Natural Sciences
  • A Swift Institute forecaster
  • A former Cabinet Secretary
  • Head of robotics at ARIA
  • Anthropic’s International Affairs lead
  • A Jane Street quant
  • A Thinking Machines AI researcher
  • The Works in Progress team
The story / San Francisco18

A week later: San Francisco.

  • Jasmine told me about BlueDot Context Week. I applied and went.
  • I met lots of really cool people!
  • Cultural difference: networking is not a dirty word, and everyone wants to help you succeed.
  • I started the extensive application process for MATS, an AI safety research fellowship.
The story / An event in San Francisco19

Access + eloquence

  • Jasmine invited me to an exclusive event in San Francisco.
  • I chatted with senior AI researchers.
“You’ve clearly thought this through a lot.”
“Once we start doing internships, you’re first on my list.”
Private San Francisco Happy Hour event: Was the Hugging Face attack the last warning shot?
The story / A different culture20

You Can Just Talk to Americans

  • Everyone wants to help.
  • You can make friends with AI researchers while waiting in line at the airport. I did.
  • It’s a very different culture. A week in the Bay Area will get you very far.
The story / Back in London21

I said hi to London’s AI safety researchers.

  • I asked Jasmine for contact details.
  • I emailed or texted and asked nicely.
  • I went around the MATS and LISA offices.
  • It was totally informal. You can just do things.
  • This probably would’ve worked without Jasmine too; she just made things smoother.
The story / A message from Jeremy22

An opportunity via WhatsApp.

  • Jeremy went to a rationalist summer camp in 2025.
  • Someone posted in the group chat that they were looking for forecasters for a hedge fund.
An actual, redacted WhatsApp exchange about a hedge-fund forecasting role.
The story / The pitch23

I’m not a forecaster.

  • I DMed him anyway.
  • I pitched that AI forecasting was going to replace human forecasting.
  • They should buy my software.
The story / Negotiations24

That somehow worked.

  • A month of negotiations and presentations.
  • We agreed on an exceptionally well-paid internship.
  • I’m there until January, then either heading off for MATS or staying in a full-time role.
  • I also went to an EA conference and met friends from Cambridge, plus lots of other cool people!
The point / Intelligence25

I’m smart, but I’m not a genius.

  • I’m a mediocre physics student.
  • I am bad at maths relative to my peers, but good at writing.
  • I wouldn’t stand a chance of getting a normal finance internship.
  • Plenty of people in this room are as smart as me. You can do things too.
University physics grades

C C C

Straight Cs.
Principles26

What can we take from this?

Principles / The most important one27

YOU CAN JUST DO THINGS.

Roon’s post: everything is designed by people no smarter than you, and courage is in shorter supply than genius.
Principles / Competition28

Compete as little as possible.

  • Everyone is fighting over the same tiny sliver of possibilities.
  • The normal track means thousands of applications and stupid psychological tests.
  • Basically everything else has far less competition.

Give it a go.

Principles / Cold emails29

Cold Emails are Unreasonably Effective

  • People will usually reply if you do them well, and they don’t take long!
  • Never use AI.
  • Reduce fluff and increase signal, then KEEP DOING THAT until it’s comically compact.
Cold emails / Manufactured example30
Invented for this talk / A compact message matters as much as compact prose
Cold emails / Manufactured example31
Invented for this talk / The development, the evidence, the offer
Principles / Legibility32

Legibility

  • A tournament position.
  • A blog.
  • A project people can actually look at.
  • Internships, fellowships, and prior work.
  • Even a Twitter account where you’re smart.

Put yourself out there in a way that fits in an application.

Principles / Eloquence33

Eloquence is important. This is gameable.

  • Nobody is asking you to do an equation at a party.
  • Read a lot. Write a lot. Think about things.
  • This isn’t about purple prose or English essays.
  • Read Paul Graham’s essays, Dwarkesh podcasts, and LessWrong.
  • Actively increase your active vocabulary: the words you draw upon in conversation.
Principles / Public speaking34

Practice speaking to people.

  • Presenting in a boardroom.
  • Talking to a powerful person at a party.
  • Discussing things in a small group.
  • These come up more than talking to a big crowd.

Depending on how I’m doing right now, this may sound hypocritical.

Principles / Social arbitrage35

The audience matters.

The success of the “weirdo 20yo” depends heavily on who’s listening.

Industry > Academia

Bay Area > America > Britain > Europe

Tech > Finance > Literally anything else

Startup > Bigco

New > Old

Academia is a particularly hideous status game. Avoid it.

Principles / Twitter36

Twitter democratises access.

  • In certain niches, it’s incredibly useful.
  • If you have smart things to say, you will quickly find yourself randomly chatting with very powerful people.
  • You find interesting people, research, and opportunities.
  • It gives you lots of material and context to discuss.
  • The format might not fit you. I’m terrible at posting!
Principles / Good people37

Surround yourself with good people.

  • People who are smart, driven, and encouraging.
  • People who actually do things and help each other.
  • I mostly found them through Twitter, Invisible College, and the Bay Area.
Principles / Knowing the culture38

Effective Altruism/Rationalism

  • These are big subcultures in the Bay Area, startups, and AI.
  • They’re very friendly to people inside them.
  • Disagreeing with half of EA/rationalism is pretty much what defines you as an EA/rationalist. You don’t need to believe it all to benefit from ingroup bias.
  • The way you write reveals whether you’re an EA/rationalist, so you can silently express it in an email or job application.
EA = effective altruism
What next? / AI39

What about AI?

  • Everything is changing.
  • Be willing to change what you’re doing. Pivot fast.
  • Use AI to learn and build. Keep your own judgement.

Watch this lecture.Miles Cranmer / Cambridge
How to Avoid AI Brain Rot

A slide from Miles Cranmer’s lecture showing how AI can pull the quality of work towards the population mean.
What next? / Things to apply to40

There are loads of things to apply to.

  • AI safety has a whole pipeline: courses, research programmes, and fellowships.
  • Ask your AI to find things that fit your age, interests, and experience.
  • Apply to Invisible College too. Your AI might miss it.

BlueDot · SPAR · MATS · ERA · LASR · ARENA · Invisible College

What next? / Keeping track41

Todo lists and notes you actually USE.

  • Keep track of applications, deadlines, and people to reply to.
  • Write down ideas you’ll otherwise forget.
  • Have something you actually use to keep on top of things.
What next? / Effort42

80/20 your entire life

  • You can generally get 80% of the way with 20% of the effort.
  • Do many things, slightly worse.
What next? / Rest43

But rest when you can

  • Preserve the capacity to go 100% for weeks or months when you need to.
Resources & questions / Take a photo44

Some useful links.

Invisible College / Works in Progress
worksinprogress.co/invisiblecollege
BlueDot / AI courses & programmes
bluedot.org
SPAR / AI safety research
sparai.org
MATS / Research fellowship
matsprogram.org
ERA / Research fellowships
erafellowship.org
LASR / London AI Safety Research
lasrlabs.org
ARENA / Technical AI safety training
arena.education
EAG / Effective Altruism Global
effectivealtruism.org/ea-global
80,000 Hours / Careers
80000hours.org
Paul Graham / What You’ll Wish You’d Known
paulgraham.com/hs.html
Miles Cranmer / How to Avoid AI Brain Rot
youtu.be/uXC7OuCas2Q
Forecasting questions & competitions
metaculus.com
alexcj.co.ukalexcj2802@gmail.com

Slides: careerspresentation.alexcj.co.uk. I’ll ask for them to be posted on Teams.

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