Geodesic Research

We're behind

Building the base of alignment.

[Geodesic Research @GeodesResearch]

Thanks to a generous philanthropic grant from @coeff_giving (pending final logistics), 𝘎𝘦𝘰𝘥𝘦𝘴𝘪𝘤 𝘪𝘴 𝘩𝘪𝘳𝘪𝘯𝘨 𝘧𝘰𝘶𝘳 𝘔𝘦𝘮𝘣𝘦𝘳𝘴 𝘰𝘧 𝘛𝘦𝘤𝘩𝘯𝘪𝘤𝘢𝘭 𝘚𝘵𝘢𝘧𝘧. Come build the base of alignment with us 🤖

We're a Cambridge-based AIS org. Our seminal work (https://t.co/htHYaQdOfD) showed you can bake alignment priors into base models.

Applications now open: https://t.co/vkwzyKZ9jU

[Geodesic Research @GeodesResearch]

https://t.co/QB8vwTvFF1

[Geodesic Research @GeodesResearch]

The UK's sovereign supercomputer team made a video about the research we did on their hardware. It's an incredibly clear overview of our work on Alignment pretraining, and a beautiful piece of media!

Video below ⬇️

[Cam Tice @cam_tice]

A bad day to be a misaligned AI

[Geodesic Research @GeodesResearch]

As Geodesic scales, we're delighted to welcome @n_lie_k as our newest member of technical staff. We can't wait to get to work 🚀

[MATS Research @MATSprogram]

AI safety needs to scale fast.

MATS has trained 10 cohorts of top researchers, but high-impact orgs keep hitting the same bottleneck: more promising ideas than people to champion them, and funding outpacing deployment.

This track exists to close that gap.

[Cam Tice @cam_tice]

I'm extremely excited to bring people on the team who live for making the future of humanity brighter.

If you know anyone who you think would be a good fit (or you think you would be), DM me!

[Geodesic Research @GeodesResearch]

We aim to fill these roles as soon as we find suitable team members — 𝘺𝘰𝘶'𝘭𝘭 𝘣𝘦 𝘢𝘮𝘰𝘯𝘨 𝘰𝘶𝘳 𝘧𝘪𝘳𝘴𝘵 𝘵𝘦𝘤𝘩𝘯𝘪𝘤𝘢𝘭 𝘩𝘪𝘳𝘦𝘴, 𝘸𝘪𝘵𝘩 𝘴𝘶𝘣𝘴𝘵𝘢𝘯𝘵𝘪𝘢𝘭 𝘪𝘯𝘧𝘭𝘶𝘦𝘯𝘤𝘦 𝘰𝘯 𝘩𝘰𝘸 𝘵𝘩𝘦 𝘰𝘳𝘨 𝘨𝘳𝘰𝘸𝘴 𝘢𝘯𝘥 𝘩𝘢𝘴 𝘪𝘮𝘱𝘢𝘤𝘵.
Apply! 👉https://t.co/vkwzyKZ9jU

[Geodesic Research @GeodesResearch]

Thanks to a generous philanthropic grant from @coeff_giving (pending final logistics), 𝘎𝘦𝘰𝘥𝘦𝘴𝘪𝘤 𝘪𝘴 𝘩𝘪𝘳𝘪𝘯𝘨 𝘧𝘰𝘶𝘳 𝘔𝘦𝘮𝘣𝘦𝘳𝘴 𝘰𝘧 𝘛𝘦𝘤𝘩𝘯𝘪𝘤𝘢𝘭 𝘚𝘵𝘢𝘧𝘧. Come build the base of alignment with us 🤖

We're a Cambridge-based AIS org. Our seminal work (https://t.co/htHYaQdOfD) showed you can bake alignment priors into base models.

Applications now open: https://t.co/vkwzyKZ9jU

[Geodesic Research @GeodesResearch]

We're looking for technical staff with experience across the ML and alignment research stack:
• multi-GPU / HPC training and evals
• deep familiarity with data-centric alignment methods
• impact-oriented thinking about lab adoption and theories of change

[Cam Tice @cam_tice]

Great paper on continual learning by @LPacchiardi .

We should be far more prepared for a world where agents learn extensively from their environments. This work seems like a solid starting point and was very helpful for conceptualizing different types of CL systems.

[David @DavidDAfrica]

Excited about good people applying to Geodesic; I think they do great work on squeezing out alignment from compute/data-intensive, neglected aspects of the training stack : )

[Asa Cooper Stickland @AsaCoopStick]

This is very important work and the Geodesic team is cracked + extremely nice! Apply apply

[Cam Tice @cam_tice]

Come help us solve alignment 👍

[Tomek Korbak @tomekkorbak]

Geodesic is a new AI safety org i’m particularly excited about: they do awesome neglected work trying to figure out how to shape alignment priors for frontier AI. People should consider applying!

[Geodesic Research @GeodesResearch]

You'll be among our first technical hires, with real influence on how the org grows and has impact.

EOI is 5 questions, ~5 mins. If it's a fit, we'll follow up about the full application: https://t.co/wzKMxKCmsL

[Geodesic Research @GeodesResearch]

Geodesic is hiring Members of Technical Staff. Come align some AIs with us!

We're a Cambridge-based AI safety org. Our seminal work showed you can bake alignment priors into base models.

Now, we want to make base models robust to the adversarial effects of long-horizon capabilities RL.

EOI (~5 mins): https://t.co/aFtv5JWc66

[Geodesic Research @GeodesResearch]

We're looking for technical staff with experience across the ML and alignment research stack:

- multi-GPU / HPC training and evals experience

- deep familiarity with data-centric alignment methods

- an insatiable desire to improve the outcomes of developing superintelligence