@benjaminwalker

Founder & CEO, Continuous Intelligence. Building models that learn from the world as it unfolds in continuous time. Email: [email protected]

 London
continuousintelligence.co.uk
Joined February 2022
  • Tweets168
  • Following189
  • Followers195
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When I passed my DPhil viva, I wrote: “This thesis lays the foundation for making continuous-time machine learning practical. Now it is time to make these models a reality.” Today, that work enters its next phase with the launch of Continuous Intelligence Limited.
Continuous Intelligence Limited
@Continu_IntelJul 16
The real world does not arrive as tokens. It arrives as irregular, asynchronous and multiscale streams of measurements, events and signals. Continuous Intelligence is building stream-native AI for real-world time-series data.
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Six papers at NeurIPS 2026 from a team of four: that's 1.5 papers per person! Among them is our inaugural Continuous Intelligence paper, Time Flies When You Parallelise. Preprint coming soon. In the meantime, here is a brief intro to are all six papers!
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Really enjoyed speaking at the SPRIN-D AI and Robotics conference about what we are building at @Continu_Intel ! Thank you to @IlirAliu_ for the great video!
Ilir Aliu
@IlirAliu_Sep 28
Replying to @IlirAliu_
@Continu_Intel Most AI assumes nicely ordered tokens or regularly sampled data. Reality isn't like that. @benjaminwalker and team are building models for irregular, asynchronous streams of events and measurements unfolding continuously through time.
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Two months into Continuous Intelligence, we shared our progress building foundation models for time-series data at SPRIND’s conference in Berlin! Exciting to see so much frontier AI innovation beyond LLMs across the UK and Europe. Thank you SPRIND for bringing us together!
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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… We’re hiring in London continuousintelligence.co.uk…

Continuous Intelligence awarded up to €3 million through SPRIND's Next Frontier AI Challenge |...

Continuous Intelligence is one of ten teams selected for Stage 1 of SPRIND's €125 million Next Frontier AI Challenge. The London-based AI lab will use the funding to build models that learn directly...

continuousintelligence.co.uk
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Ben Walker retweeted
Jano Costard@jncstrdJul 17
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 👇 1/
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Earlier this week, I launched @Continu_Intel. Today, I can share what comes next. We are one of ten teams entering Stage 1 of SPRIND’s €125m Next Frontier AI Challenge. We are turning continuous-time ML research into models that learn from a continuously evolving world.
Continuous Intelligence Limited
@Continu_IntelJul 17
We are delighted to be one of ten teams entering Stage 1 of SPRIND’s €125m Next Frontier AI Challenge. We are building AI that learns directly from irregular, asynchronous and multiscale streams of real-world data.
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Unless I’ve missed something, there are still no technical details on how they make the approach subquadratic. Anyone know how they choose which previous tokens a query should attend to without first looking at all previous tokens, or is the subquadratic claim just marketing?
Subquadratic
@subquadraticMay 6
The transformer architecture used for ChatGPT, Gemini, and Claude has defined the last decade of AI. It also introduced a fundamental constraint: compute scales quadratically as context grows. Longer inputs, exponentially higher costs and accuracy that degrades well before the context window limit. SubQ changes that. It's the first LLM that breaks the quadratic scaling constraint delivering longer context, higher accuracy, and lower cost at the same time without tradeoffs. Read more here. subq.ai/introducing-subq

Introducing SubQ: The First Fully Subquadratic LLM

Subquadratic is a frontier AI research and infrastructure company building a new class of LLMs.

subq.ai
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Using the new GPT-Image-2 to help me express what it feels like to watch a one-off specific instruction survive Codex compaction, and then get passed down forever as legend through each successive compaction
🤖 Made with AI
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Codex felt it could only express how totally declarative the dataclass definition should be in Russian
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Looks like codex and chatgpt are now down and this is the first time I have seen a foreign language in a response, is this somehow linked?
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That explains why gpt-5.4-codex is at capacity
Sam Altman
@samaApr 7
To celebrate 3 million weekly codex users, we are resetting usage limits. We will do this every million users up to 10 million. Happy building!
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If only Yule had known about this when he invented autoregressive modelling in 1927, we could have had language models before computers!
Jack Morris
@jxmnopMar 30
Hate to break it to you, but the first LLM was created by Andrey Markov in 1913. he tallied up 20,000 letters from a famous novel and computed p(vowel | vowel) p(consonant | vowel) p(vowel | consonant) p(consonant | consonant) basically 'training' a bigram by hand
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Most machine learning is about finding the right feature extractor for a linear readout. Even an LLM.
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A visualisation of the idea behind rough path theory: a path is not fully described by its value Each curve has the same area: when the number of circles doubles, their radius is scaled by 2^{-1/2}. The path's value converges to the straight line, but the total area does not
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ChatGPT found a song I’d been trying to find for ages, then built a playlist around it that was way better than Spotify’s suggestions. How is an LLM better at music recommendation than a direct recommendation system?
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Fantastic OxYSS session with Emma Prevot (@OxfordStats) & @benjaminwalker (@OxUniMaths) on the intersection of Causal Inference and Continuous-Time ML. A vibrant discussion on the future of temporal modelling!
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New ChatGPT tell: the sentence uses a colon. This is, however, not the only one.
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Everything starts to look like a path once you stare at it long enough
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