It's about Time.
Zurich, Switzerland
Joined May 2026
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Aionic Labs retweeted
From a beer at Stanford to a frontier AI lab in Zurich: ๐ป๐จ๐ญ
I've joined Aionic Labs, alongside my work at ETH's Agentic Systems Lab!
I've known the four founders as friends and colleagues for years. When they reached out about joining the team, it was an easy yes! ๐
Aionic Labs retweeted
โ๐ ๐ฐ๐ถ ๐ฅ๐ฐ๐ฏ'๐ต ๐ฏ๐ฐ๐ณ๐ฎ๐ข๐ญ๐ญ๐บ ๐ญ๐ฆ๐ข๐ณ๐ฏ ๐ฉ๐ฐ๐ธ ๐ต๐ฐ ๐ฃ๐ถ๐ช๐ญ๐ฅ ๐ง๐ฐ๐ถ๐ฏ๐ฅ๐ข๐ต๐ช๐ฐ๐ฏ ๐ฎ๐ฐ๐ฅ๐ฆ๐ญ๐ด ๐ช๐ฏ ๐ข๐ค๐ข๐ฅ๐ฆ๐ฎ๐ช๐ข.โ
In this weekโs lecture on ๐๐ฎ๐ข๐ฅ๐๐ข๐ง๐ ๐๐ ๐๐ง๐ญ๐ข๐ ๐๐ ๐๐ฒ๐ฌ๐ญ๐๐ฆ๐ฌ ๐๐จ๐ซ ๐๐ง๐๐ฎ๐ฌ๐ญ๐ซ๐ฒ ๐๐ซ๐๐ง๐ฌ๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง at ETH Zurich, @nzuma0 and @PatrickLangerAI covered large language model (LLM) training and adaptation.
One fascinating aspects of foundation models we discussed was ๐๐ฆ๐๐ซ๐ ๐๐ง๐ญ ๐๐๐ก๐๐ฏ๐ข๐จ๐ซ. You keep scaling data, model size, and compute, and suddenly models start demonstrating capabilities they weren't explicitly trained to perform. These capabilities are difficult to predict from smaller-scale experiments.
But here's the challenge: ๐๐ง ๐๐๐๐๐๐ฆ๐ข๐, ๐ฒ๐จ๐ฎ ๐ซ๐๐ซ๐๐ฅ๐ฒ ๐ก๐๐ฏ๐ ๐๐๐๐๐ฌ๐ฌ ๐ญ๐จ ๐ญ๐ก๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ ๐๐๐ฉ๐๐๐ข๐ฅ๐ข๐ญ๐ข๐๐ฌ, ๐ข๐ง๐๐ซ๐๐ฌ๐ญ๐ซ๐ฎ๐๐ญ๐ฎ๐ซ๐, ๐๐ง๐ ๐ฌ๐๐๐ฅ๐ ๐ง๐๐๐๐๐ ๐ญ๐จ ๐๐ฑ๐ฉ๐๐ซ๐ข๐๐ง๐๐ ๐ญ๐ก๐๐ฌ๐ ๐ฉ๐ก๐๐ง๐จ๐ฆ๐๐ง๐ ๐๐ข๐ซ๐ฌ๐ญ๐ก๐๐ง๐.
We covered post-training methods for LLMs and explored emergence and scaling laws. These topics help explain how model capabilities develop, how model behavior can be shaped, and what drives recent breakthroughs in LLMs.
For anyone building with AI, understanding these foundations helps inform decisions about what to automate, how to evaluate systems, and where human oversight matters.
Thanks to Nicolas Zumarraga and Patrick Langer for sharing insights from their research and real-world experience at Aionic Labs and Meta.
The Building Agentic AI Systems for Industry Transformation lecture takes place every Wednesday (16:15โ18:00) at ETH Zurich and is led by @kev_osull, @PatrickLangerAI, @robertjakob, and Markus Kreft.
Lecture link in the comments. ๐๐
Aionic Labs retweeted
Frontier Time Series Language Models struggle with precise anomaly localization over long contexts, when useful signals might be hidden in hours of recordings.
In our new paper we trained a tiny Recursive Language Model to SoTA performance on long context time series.
We introduce AnomalyXL, an infinitely scalable synthetic time-series generator with programmatic ground truth answers.
Training our RLM formulation on this RL environment transfers to real world anomaly detection in Software Observability, ECG and Sleep data.
๐งต๐
Aionic Labs retweeted
Was fun sharing the stage with @PascalBtd at AI+X, looking back at the early days of the @ETH_agent_lab and what we're building now with @aionic_labs and @seldon_tech.
Thanks @ETH_AI_Center, Sรถren Fehrmann and Swisscom Ventures for having us!
Aionic Labs retweeted
How do models make sense of systems that keep changing over time?
Patrick Langer, Co-Founder of @aionic_labs, joins Nebius Science Paper Club to talk Temporal AI, TSLMs, OpenTSLM, and reasoning across evolving systems.
Register: nebius.science/events/webinaโฆ
Day 1.
100+ people in Zurich for the @aionic_labs launch.
also launched: karaoke and our new caps. ๐ค๐งข
thanks to everyone helping us give AI a sense of time.
first of many. now, itโs time to build! ๐
and yes, weโre hiring. (singing skills optional)
Aionic Labs retweeted
One model. Three time-series tasks. Three podium finishes.
Meet OpenTSLM TeeMoE ๐
๐ฅ TimeSeriesExam
๐ฅ Context is Key
๐ฅ GIFT-Eval
Forecasting, context-aware prediction & time-series reasoning.
Open code. Open model.
Links below โ
๐ค Made with AI
Aionic Labs retweeted
Skin in the game. Happy to have you Timo! ๐ฅ
Goodbye Meta! Hello @aionic_labs!
Stoked to announce that I've joined the crew over at AionicLabs, where we are putting up the first serious AI Frontier Lab based in Zurich.
The past month I've been building our training infra and co-authored on FIVE papers! This team is fire!
Aionic Labs retweeted
Feeling extremely bullish about Europe after the @SPRIND AI & Robotics Summit.
A personal highlight was speaking with the Swiss Ambassador to Germany, Livia Leu (@BotSchweizDE) about what we're building with @aionic_labs.
The real success story to me is the @SPRIND team behind it all. It is one amazing team of highly capable, high-agency, supportive, and extremely ambitious individuals on a mission to empower our best researchers and big ideas in Europe. Theyโre building a rocket ship. ๐
Proud to see my home country Germany supporting a team and a program with this level of ambition, and happy to see other European countries starting to adopt what SPRIND is doing.
Weโre ready to do our part with @aionic_labs push Europe to the next level. ๐ช๐บ๐จ๐ญ๐ฌ๐ง
Aionic Labs retweeted
great to have all four @aionic_labs co-founders now in one room (and on X), building in Zurich.๐จ๐ญ๐
from an idea on a whiteboard at Stanford to a frontier AI lab in Europe and a global research community.
more to come ๐
@thomaskaar @martinm_ai @PatrickLangerAI
It's about time.
We are launching Aionic Labs (@aionic_labs). ๐ฅ๐
With support from SPRIN-Dโs Next Frontier AI initiative, we are building a frontier AI company at the heart of Europeโs leading AI ecosystem.
Clinicians decide when a patient needs intervention. Factory teams catch machine problems before production stops. Operators determine which alarms demand action.
These are some of the most consequential decisions in the physical economy, and they all depend on time-series data.
We are developing Time-Series Language Models (TSLMs) that can understand these signals, reason over them, predict what comes next, and suggest actions in natural language.
TSLMs connect sensor data with language experts use to make critical decisions.
Europe is the right place to build this technology. We have world-class research, top technical talent, and decades of industrial expertise and data.
Our team brings together former founders, frontier tech experience, and world-class researchers from Stanford, Harvard, ETH Agentic Systems Lab (@ETH_agent_lab), ETH AI Center (@ETH_AI_Center) and CDTM (@cdtm_munich). We have built companies, developed technology at scale, and advanced research at the frontier of AI.
Over the coming months, we will:
โ Launch selected TSLM pilots across manufacturing, healthcare, energy, logistics, telecom, insurance, and banking.
โ Build an open research community around OpenTSLM (@OpenTSLM) and TimeNet.
โ Enable trusted data partnerships across industries.
โ Accelerate the Time-Series AI community in Zurich and Europe.
From Zurich. For Europe. ๐จ๐ญ๐ช๐บ
Join our mission and help build a Frontier AI Lab from day one. Career and pilot program links are in the comments.
Managing Directors: Robert Jakob (@robertjakob), Thomas Kaar (@thomaskaar)
Supported by: SPRIN-D (@SPRIND)
Photo: Felix Adler fรผr SPRIND
Aionic Labs retweeted
We are launching Aionic Labs (@aionic_labs). ๐ฅ๐
With support from SPRIN-Dโs Next Frontier AI initiative, we are building a frontier AI company at the heart of Europeโs leading AI ecosystem.
Clinicians decide when a patient needs intervention. Factory teams catch machine problems before production stops. Operators determine which alarms demand action.
These are some of the most consequential decisions in the physical economy, and they all depend on time-series data.
We are developing Time-Series Language Models (TSLMs) that can understand these signals, reason over them, predict what comes next, and suggest actions in natural language.
TSLMs connect sensor data with language experts use to make critical decisions.
Europe is the right place to build this technology. We have world-class research, top technical talent, and decades of industrial expertise and data.
Our team brings together former founders, frontier tech experience, and world-class researchers from Stanford, Harvard, ETH Agentic Systems Lab (@ETH_agent_lab), ETH AI Center (@ETH_AI_Center) and CDTM (@cdtm_munich). We have built companies, developed technology at scale, and advanced research at the frontier of AI.
Over the coming months, we will:
โ Launch selected TSLM pilots across manufacturing, healthcare, energy, logistics, telecom, insurance, and banking.
โ Build an open research community around OpenTSLM (@OpenTSLM) and TimeNet.
โ Enable trusted data partnerships across industries.
โ Accelerate the Time-Series AI community in Zurich and Europe.
From Zurich. For Europe. ๐จ๐ญ๐ช๐บ
Join our mission and help build a Frontier AI Lab from day one. Career and pilot program links are in the comments.
Managing Directors: Robert Jakob (@robertjakob), Thomas Kaar (@thomaskaar)
Supported by: SPRIN-D (@SPRIND)
Photo: Felix Adler fรผr SPRIND