investing in ai @ balderton | ml @ ucl
Joined June 2025
- Tweets8
- Following285
- Followers16
- Likes18
Niklas Falk retweeted
Introducing Reinforcement Learning from Collective Rewards (RLCR).
RLCR is a recipe that trains language models as agent organisations, which share a message board and workspace. We use it to train Avalon-M1-Mini (120B) and study its behaviour.
We find a number of interesting results, including:
🛠️ Learnt organisational hierarchies and divisions of labour
🕵️ Increased collective verification, through hires of verifiers and testers
👥 The rise of collective thinking, where agents think more about other agents and how to help them
We believe RLCR can provide a laboratory for studying collective intelligence and multi-agent safety.
Blog post and technical report 👇
Agent infra is here!
Infrastructure is always a function of the workload. With agent adoption taking off since Dec'25, we are now seeing a new infra stack emerging.
Wrote down my & Tobias's thoughts on what's happening below!
Realized NVIDIA's genius today at GTC: all they do is remove bottlenecks to AI adoption to then sell more GPUs.
- AI infra build-out slowed by grid connections → DSX PODs
- Security concerns holding back enterprise agents → OpenShell
Niklas Falk retweeted
1/ Today we’re launching an open letter calling on the government to end unfair restrictions that stop Britain’s best switching jobs or starting companies.
UK AI companies that have raised $5bn agree: our best should be free to start and scale. 🧵
@downingstreet @biztradegovuk
Niklas Falk retweeted
Aaaaaaaand it's apparently solved 🫣😅
The NetHack Learning Environment (@NetHack_LE) has been around since 2020. Since 2024, balrogai.com is evaluating frontier LLM performance on it. We are slowly seeing progress on it, but it still seems far from being solved.
Niklas Falk retweeted
Our CTO @kallyaleksiev is speaking at London Systems Club, sharing some infrastructure lessons from training Faraday.
Come join us on October 12 for a conversation about how to engineer scientific intuition.
Next Systems club on the 12th of October. This is a room of 20-30 of the best engineers in London that care about systems, hardware, and performance.
Speakers ⬇️
- @kallyaleksiev from @inherent_labs - Presenting lessons from Faraday, the infrastructure built to train scientific intuition on top of coding agents and outperform leading models at research paper replication.
- @ismaeel_bashir_ from @ExpanseCompute - 538,000 production jobs on a national supercomputer say your users are over-reserving by 2–3x. Here's how to predict what they'll really need.
Link to register in the comments 🔗
