Frontier forecasting with a much longer memory.

Meet ci-proto: #1 on fev-bench, with the ability to recall patterns from over 2 million observations ago.

Open weights. Available for commercial use. Ready for your data.

Try it now: github.com/continuousinte…

Researchers across 20+ institutions incl. ETH, Stanford, Harvard, KAIST, UNSW have spent months building TimeNet.

the goal: make it easier to train and benchmark temporal foundation models that understand how the world changes over time.

it's open source, and today we're ckathon. Come join us: challenge.timenet.ai

(and earn $50k in compute and cloud credits)

A Google exec told the @FT it's fine for Europe to just consume AI, not lead in its development. I beg to differ. AI will a be leading source of technological change and with it of economic growth. This must not be outsourced. My full response was published in the @FT today. 1/

Read the full response in my letter to the @FT at ft.com/content/a48690…

Such an interesting space, has always been. Thanks for sharing @PGelsinger! We @SPRIND have the call open for the AI native chip design challenge: sprind.org/en/actions/cha…

One of the first projects initiated at Germany's Federal Agency for Breakthrough Innovation @SPRIND. It's quite a sight! More importantly, it brings cheap & clean power!

Everyone loves shitting on European tech. Fine.
Last week in Berlin, I watched 13 teams pitch.
13 teams ACTUALLY TRYING instead of whining.

📌 Save this post if you want to know who is trying to build the next generation of European AI & Robotics.

(Live Pitch Videos) 🧵 👇

Müssen im KI-Rennen aufholen & eigene Stärken entwickeln. Dazu haben @MonikaSchnitzer et al Stellung bezogen. Fast erstaunlich: Deutschland ist Vorbild mit @SPRIND Challenges die Talente mit Geld, Entscheidungen in 14 Tagen & wenig Bürokratie überzeugen. faz.net/aktuell/wirtsc…

Today in @nytimes: How Germany's @SPRIND "offers a breath of optimism" and how we work with Sweden and with currently created Dutch and French ARPAs to make sure 🇪🇺 builds breakthrough tech. nytimes.com/2026/08/19/bus…?

SPRIN-D robotics challenge
Deadline: Oct 22, 2026
Who? EU/EFTA/UK
Funding 1st stage: €1M platforms / HW €2.4M; up to €7.2M total per team in stage 4 both tracks
sprind.org/en/actions/cha…

Bis zu 12 Teams können an dieser SPRIND Challenge teilnehmen - und erhalten in den nächsten 24 Monaten bis zu 1,5 Mio. Euro. Die Bewerbungsfrist läuft bis zum 16.10. Um diese SPRIND Challenge vorzustellen, bieten wir am 20.08. ein Webinar an buff.ly/0QisO2b

The last 6 months I’ve been working on robotics experiments solo.

I’m going all in on it now.

I am forming a team to build a Semi-Humanoid 🦾🧠: 7-DoF arms, dexterous hands, mobile base, pan/tilt stereo head and of course the teleop data pipeline and policies to run it. Target OY. World class German engineering both HW & SW/AI.

I’m now for the first phase looking for 2–3 AI & data driven robo pilled guru-level 🐐 people to build it with me from day zero:

- grippers & UMI counterparts
- arms, head, base
- recording / (post-)training / inference
- mapping & navigation
- data collection, retargeting, annotations (students welcome)

If you are an EE/MechE with strong robotics background located near Münster or AIE anywhere within 🇩🇪 who wants to build general purpose robots for every home and factory - team up with me on this -> DM 🤗

Continuous Intelligence has been awarded up to €3 million through SPRIND’s Next Frontier AI Challenge.

We are one of ten teams selected from 500+ applications to enter Stage 1.

Read more
continuousintelligence.co.uk/news/continuou…

We’re hiring in London
continuousintelligence.co.uk/careers/

We just started our @SPRIND Continuous Hormone Monitoring Challenge with 8 incredible teams. @Forbes with more insights forbes.com/sites/geristen…

If we want to change the world, we need to build. Most funding agencies unfortunately are not set up to catalyze building breakthrough innovation. We work on changing that at @SPRIND

We’re taking a different bet from most frontier robotics labs: scaling latent-space world models for physical AI. 🧵 1/n

We're selected among 2% of startups for SPRIND's Next Frontier AI Challenge

This competitive program brings €125M to support teams building new AI paradigms.

We are launching Aionic Labs (@aionic_labs). 🔥🚀

With support from SPRIN-D’s Next Frontier AI initiative, we are building a frontier AI company at the heart of Europe’s leading AI ecosystem.

Clinicians decide when a patient needs intervention. Factory teams catch machine ion 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:

→ Launch selected TSLM pilots across manufacturing, healthcare, energy, logistics, telecom, insurance, and banking.
→ Build an open research community around OpenTSLM (@OpenTSLM) and TimeNet.
→ Enable trusted data partnerships across industries.
→ Accelerate the Time-Series AI community in Zurich and Europe.

From Zurich. For Europe. 🇨🇭🇪🇺

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 für SPRIND

True sovereignty isn't copied. It's built. Here are the 10 teams we fund with €125M to create the next AI paradigm in Europe! Learn more about the teams and the @SPRIND Next Frontier AI Challenge 👇
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Teams are working on physical AI & world models for robotics, AI for live streams of real-world signals, systems that learn continuously, the automation of scientific discovery, foundation models trained on other model's weights and more.
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Among them: spinouts from Oxford, ETH Zurich, the University of St. Gallen and the University of Tübingen, with founders who previously built AI at Google DeepMind, OpenAI and Hugging Face. They begin work this month.
Learn more at: sprind.org/en/actions/cha…