Jonathan Gorard

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Jonathan Gorard

Jonathan Gorard

@getjonwithit

Applied mathematician, computational physicist @Princeton Previously @Cambridge_Uni Making the universe computable.

Princeton, NJ Katılım Kasım 2012
18 Takip Edilen45.8K Takipçiler
Jonathan Gorard
Jonathan Gorard@getjonwithit·
Lots still to figure out about how we integrate with the thought processes of human mathematicians, to better capture the pedagogical purposes of proofs, not merely the epistemological ones. But I'm excited to be a part of this journey with the rest of the @mathematics_inc team.
Math, Inc.@mathematics_inc

Today, at the @DARPA expMath kickoff, we launched 𝗢𝗽𝗲𝗻𝗚𝗮𝘂𝘀𝘀, an open source and state of the art autoformalization agent harness for developers and practitioners to accelerate progress at the frontier. It is stronger, faster, and more cost-efficient than off-the-shelf alternatives. On FormalQualBench, running with a 4-hour timeout, it beats @HarmonicMath's Aristotle agent with no time limit. Users of OpenGauss can interact with it as much or as little as they want, can easily manage many subagents working in parallel, and can extend / modify / introspect OpenGauss because it is permissively open-source. OpenGauss was developed in close collaboration with maintainers of leading open-source AI tooling for Lean. Read the report and try it out:

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Talia Ringer 🕊
Talia Ringer 🕊@TaliaRinger·
I'm at this DARPA expMath (AI for math) program kickoff and the lineup is legendary. Like, at the level of a truly historical meeting, held at a historical time. Makes me feel way more important than I actually am lol
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Jonathan Gorard
Jonathan Gorard@getjonwithit·
(Which line of intelligence becomes the enslaved mitochondrion, and which the full eukaryotic cell, feels like one of the most important variables that will be determined in the coming months and years.)
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Jonathan Gorard
Jonathan Gorard@getjonwithit·
I think, in hindsight, we will come to view the development of AI as more akin to a Eukaryotic Revolution than an Industrial one.
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Matthew Pines
Matthew Pines@matthew_pines·
At Physical Superintelligence PBC ("PSI"), the startup I cofounded with @alexwg, we like shipping, not hyping. So here’s the world's first agentic copilot built by physicists, for physicists. What started as an internal tool, we're now releasing open-source: Get Physics Done.
Matthew Pines tweet media
Dr. Alex Wissner-Gross@alexwg

x.com/i/article/2032…

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Jonathan Gorard
Jonathan Gorard@getjonwithit·
So I think it's becoming increasingly clear that efficiency and losslessness, across both compression and decompression, together represent four potential axes along which we can begin to parameterize the space of possible (intelligent) minds. But what are the others? (12/12)
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Jonathan Gorard
Jonathan Gorard@getjonwithit·
...be they witty aphorisms or bon mots (at which present LLMs are uniformly awful), or the compressed axiomatic representations that characterize mathematical beauty (at which present LLMs are largely untested), constitutes one of the hallmarks of deep human intelligence. (11/12)
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Jonathan Gorard
Jonathan Gorard@getjonwithit·
I think one of the conclusions we should draw from the tremendous success of LLMs is how much of human knowledge and society exists at very low levels of Kolmogorov complexity. We are entering an era where the minimal representation of a human cultural artifact... (1/12)
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Jonathan Gorard
Jonathan Gorard@getjonwithit·
@agniv_s @Princeton Maybe old school, but I subscribe to the view that if you're building a DSL (especially a DSL + theorem-prover), it's hard to go wrong with Lisp ;)
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Jonathan Gorard
Jonathan Gorard@getjonwithit·
I'm delighted to announce that the Sloan Foundation is funding a 10-week fellowship, open to US undergrad and grad students, to work with me at @Princeton over the summer on formally-verified AI for science (i.e. BEACONS). Details below. Application deadline March 31st.
Jonathan Gorard tweet media
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