Daniel Sander Hoffmann @transplexity
Joined April 2009-
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The idea that we will automate work by building artificial versions of ourselves to do exactly the things we were previously doing, rather than redesigning our old workflows to make the most out of existing automation technology, has a distinct “mechanical horse” flavor
If you do functional programming (like in Wolfram Language) you've probably used lots of pure functions, or lambdas. But what are lambdas like in the wild? Things I'm doing in CS, bio and ML converged to make me curious to find out... And as seems to happen whenever I go…
We’re helping to unlock the mysteries of the universe with AI. 🌌 Our novel Deep Loop Shaping method published in @ScienceMagazine could help astronomers observe more events like collisions and mergers of black holes in greater detail, and gather more data about rare space…
Saying that deep learning is "just a bunch of matrix multiplications" is about as informative as saying that computers are "just a bunch of transistors" or that a library is "just a lot of paper and ink." It's true, but the encoding substrate is the least important part here.…
The @xai Grok 2.5 model, which was our best model last year, is now open source. Grok 3 will be made open source in about 6 months. huggingface.co/xai-org/grok-2
Our new state-of-the-art AI model Aeneas transforms how historians connect the past. 📜 Ancient inscriptions often lack context – it's like solving a puzzle with 90% of the pieces lost to time. It helps researchers interpret and situate inscriptions in their past context. 🧵
The correct way of thinking about AI and education will not be “how can we ensure that homework is not written by chatGPT” or “is AI the new pocket calculator revolution”, but “how can we ground the coming generation of human-AI hybrids in a shared, benign social context”
We are excited to introduce Mercury, the first commercial-grade diffusion large language model (dLLM)! dLLMs push the frontier of intelligence and speed with parallel, coarse-to-fine text generation.
“What if medicine could harness the body’s innate healing ability with precision, using technology to direct the body to repair damaged tissues and organs, or even regenerate them entirely?” Mike Levin is brilliant. bigthink.com/health/the-que…
FRESH WORK After 10 years of work on the sentence-based version of my History of Philosophy, I created an auxiliary interactive visualization, a force-directed graph with philosophers (instead of sentences) as nodes, using @kumupowered. Link: denizcemonduygu.com/philo/philosop… Thread ↓
Introducing Oumi 🚀 - a community of researchers and developers united in their mission to make frontier AI more open, collaborative, and accessible. Join us in building the platform, models, and tools: let’s shape the future of AI. #oumi #opensource #collaboration Learn more:…
Today, we are publishing the first-ever International AI Safety Report, backed by 30 countries and the OECD, UN, and EU. It summarises the state of the science on AI capabilities and risks, and how to mitigate those risks. 🧵 Link to full Report: assets.publishing.service.gov.uk/media/679a0c48… 1/16
New in 14.2: Game Theory "...in typical Wolfram Language fashion, it's all computable and extensible—so you can study more realistic games, and quickly do lots of examples to build intuition." writings.stephenwolfram.com/2025/01/launch…
The Mathematics of Artificial Intelligence: In this introductory and highly subjective survey, aimed at a general mathematical audience, I showcase some key theoretical concepts underlying recent advancements in machine learning. arxiv.org/abs/2501.10465
Update, new preprint. Explains how the delegation of control facilitates adaptation, with examples of computational, biological, human organisational and economic systems. Inspired by @tonyingesson’s thesis on mission command and @ID_AA_Carmack's programming advice.
ROBOT's shortest path in obstacle field mapped by Dijkstra's algorithm. It was long assumed that the most efficient way to find best routes in graphs is Dijkstra algorithm. But it's optimality was proven only in 2023, in a work that won best-paper award. community.wolfram.com/groups/-/m/t/3…
The unbearable slowness of being: Humans still clock in at just 10 bits/s. Even after peer review :) Share link for Neuron: authors.elsevier.com/a/1kHVa3BtfH9B…, ArXiv: arxiv.org/abs/2408.10234
Afterglow Tears PART 2: Further experimentation with a Blade Runner mood. soundcloud.com/transplexity/a…
Useful to the point of being revolutionary: introducing Wolfram Notebook Assistant! writings.stephenwolfram.com/2024/12/useful…

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