Normal Computing 🧠🌡️ @NormalComputing
We build AI systems that natively reason, so they can partner with us on our most important problems. Join us https://t.co/BcjWCoI5b8. normalcomputing.ai New York, NY Joined June 2022-
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after reading a number of different sources on thermodynamic computing, both this paper and this blog post by @NormalComputing have given the most concrete tangible understanding of what it looks like in practice.
Excited to be back in the Bay for this! Will be hosting our @Quantonation event on physics and compute on June 27th More details to come about some big ambitious tech
Excited to be back in the Bay for this! Will be hosting our @Quantonation event on physics and compute on June 27th More details to come about some big ambitious tech
Is it easier to guess the end of a story from the beginning, or to guess the beginning from the end? @stokhastik are talking about this question and its relevance to AI and thermodynamics, feel free to join!
Is it easier to guess the end of a story from the beginning, or to guess the beginning from the end? @stokhastik are talking about this question and its relevance to AI and thermodynamics, feel free to join!
neuropoesis rebooting @neuropoetic
1K Followers 3K Following *uncertain flux* | All views and opinions my own 💩 | cogpsychneuro, AI, the sociocultural, and their intersections | Searching for my lost inner neuropoetblurryface @idioticdagu
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63 Followers 377 Following I love self-replicating, self-improving and self aware autonomous AI agents. Your personal daily schizo e/acc mind prompt engineer. #IllyaDidNotKillHimselfArithmeticAlias @ArithmeticAlias
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952 Followers 1K Following Head of Product | ML/AI/Platform/Analytics | Ex. Workfront, Toast, Acquia | Part of x3 $1B+ Exits | 0-1 Product Guy | Writing at https://t.co/unvgJ1vmlRadic_9 @adic_9
610 Followers 867 Following meta-optimizer. wannabe cult leader (schrodinger’s “/j”). waiting for the singularity. not a Meditator - FAFO-ing. DM me your weird qualiaBhaskar Chatterjee @ChatterjeeBh
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515 Followers 3K Following We're all going to make it. ☦︎ ia∀/acc🚀 Try to unlock the secrets of the universe that God has laid out like Christmas presents for his children.Sacha Ichbiah @SachaIchbiah
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29 Followers 94 Following self-aware meat bag. the I in me has no self-consistencyXilo @PandoXiloscient
453 Followers 576 Following The future belongs to benevolent zaibatsu | Increasing global energy consumption | e/λSally Ward-Foxton @sallywf
2K Followers 1K Following Senior Reporter at @eetimes, reporting mainly on AI accelerators.Dylan Heinkel @dylan_heinkel
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88 Followers 289 Following Complexity, systems and cybernetics, causality, AI. Innovation and design theory, entrepreneurship.Husam GIbreel @HusamGibreel
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371 Followers 3K Following On a reading challenge. If you have a strong thesis, you may change the world. Founder @aixb_world. Alumnus @DBEBtweeting @iitdelhi.𝕋𝕠𝕡𝔾𝕦�.. @top_gun0007
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35 Followers 225 FollowingArthur @timetosheim
92 Followers 505 Following Interested in national security problems https://t.co/5TvqsGlULUDumi Konovenski @konovenski
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6 Followers 562 FollowingSally Ward-Foxton @sallywf
2K Followers 1K Following Senior Reporter at @eetimes, reporting mainly on AI accelerators.Sharon Goldman @sharongoldman
6K Followers 2K Following Reporter on the AI beat, @FortuneMagazine Formerly @venturebeat [email protected] | Signal: sharongoldman.43 (for news tips only, no pitches)Ken Yeung @thekenyeung
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5K Followers 118 Following Sr. Staff Research Scientist at @GoogleDeepMind | @StanfordNLP. Prev: @AnthropicAI, @MIT.Soumith Chintala @soumithchintala
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324 Followers 256 Following Celesta is a global multi-stage venture capital firm, enabling innovators and business builders at the frontiers of deep tech. #deeptech #venturecapitalSam Duffield @Sam_Duffield
283 Followers 531 Followingrajath @rajathx
324 Followers 562 Following point particle currently exploring phase space @normalcomputing.Omar Khattab @lateinteraction
11K Followers 2K Following CS PhD candidate @StanfordNLP. 2022 Apple Scholar in AI/ML. Author of ColBERT (https://t.co/2ZtgXoa1np), DSPy (https://t.co/BH7WmMKDXR), & various retrieval & LM systems.Kaelan Donatella @KaelanDon
307 Followers 598 Following research @NormalComputing. Previously in quantum @MPQlab. Tireless optimist + epistemology amateur 🧐Dmitri Saberi @dmitri_saberi
54 Followers 76 Following thermodynamic ai @normalcomputing, prev math @stanfordLingjie @LingjieFengO
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29K Followers 3K Following Cofounder @NousResearch, prev @StabilityAI Github: https://t.co/LZwHTUFwPq HuggingFace: https://t.co/sN2FFU8PVE Support me on Github SponsorsMax Aifer @MaxAifer
2K Followers 2K Following Theorist @NormalComputing. Thermodynamic computing for energy-efficient AI.Mengdi Chen @mengdi_en
2K Followers 212 Following 👋 • having fun building stuff @NormalComputing • Ex-Meta (React Core team @reactjs, @reactdevtools)Antonio Martinez @zaqqwerty_ai
303 Followers 478 Following Co-Founder @NormalComputing | formerly: tensorflow quantum @GoogleQuantumAI, quantum annealing @QuantumIQC, physics @YaleMatthias T. @matthias_tan1
78 Followers 155 Following Member of Non-Technical Staff @normalcomputing.Dan @dan_p_simpson
5K Followers 698 Following I do Bayes shit at a start up. And I love it. (Also at [email protected] and fairly obviously views don’t represent etc. )Phoebe Klett @KlettPhoebe
375 Followers 190 Following ml @normalcomputing, in search of artificial natural kindsAry Swaminathan @ArySwami
312 Followers 2K Following product @NormalComputing / prev math + philosophy @ harvard, investor @ firmamentThomas Ahle @thomasahle
4K Followers 467 Following Head of ML @NormalComputing. Ex @Meta, @BARCdk, @SupWizAI. Tweets mostly about Math, Probability, AI, ML, Algorithms and Randomness.Michael P. Frank is j.. @MikePFrank
6K Followers 4K Following Reversible computing guru, straight outta Stanford, Microsoft, SRI, MIT, IBM, NASA, UF, & FSU. Here to save the Universe. Opinions expressed are my own. e/accAndreas Kirsch 🇮�.. @BlackHC
9K Followers 5K Following Past: 🧑🎓 DPhil @AIMS_oxford @ExeterCollegeOx @UniofOxford (4.5yr) 🧙♂️ RE @DeepMind (1yr) 📺 SWE @Google (3yrs) 🎓 @TU_Muenchen 👤 Fellow @nwspkDavid Dohan @dmdohan
8K Followers 1K Following reducing perplexity @openai | past: probabilistic programs, proteins, science & reasoning @ google brain 🧠Stefan @ 📚🦜 @steve_quantum
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5K Followers 748 Following Theoretical quantum physicist @NIST, @JointQuICS, @UMD_IPST, and @UMDPhysics. Author of Quantum Steampunk: The Physics of Yesterday's Tomorrow @JHUPress.Zoubin Ghahramani @ZoubinGhahrama1
24K Followers 615 Following VP Research, Google DeepMind, ex-head of Google Brain. Professor at University of Cambridge. Machine Learning Researcher. ex-Chief Scientist & VP of AI, Uber.Elon Musk @elonmusk
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74K Followers 1K Following Partner @sequoia // @caltech physics PhD // quantum space crypto security (it's a niche but high impact field)@Ethan_smith_20 @NormalComputing Yes totally agree. The folks at @NormalComputing are doing a good job trying to educate. @MaxAifer has some nice X spaces. You should also watch videos by @ColesThermoAI and @gavincrooks Will say, it would be nice to have a free edx-like course offered by them,🤔.
@NormalComputing @Ethan_smith_20 this is golden, thanks for sharing!
Thrilled to announce that (1) I've successfully defended my PhD thesis, "Improving Deep Learning with Probabilistic Approaches," which I'll share once corrections are done, and (2) Today I started my dream job as a research scientist @GoogleDeepMind! Excited for the future! 🥳
after reading a number of different sources on thermodynamic computing, both this paper and this blog post by @NormalComputing have given the most concrete tangible understanding of what it looks like in practice.
imagine thinking this will be the pinnacle of civilization. pax americana isn't going anywhere, get ready for another century of domination 😘 🇺🇸
most Americans know they live in a dying empire but do they know another is being born?
@ajratner Couldn't agree more! I'd just add that datasets are largely abstracted out too. Developing them should be programmatic, a key lesson from Snorkel, and multi-stage. The program solving the task and evaluating outputs *is* the program synthesizing data. Nothing displaces code!
Dropout-based uncertainty quantification methods received a lot of undue attention when they were introduced in 2017, but are now recognized as one of the least effective methods for delivering reliable probabilistic predictions. Below are results from using dropout based…
I’m looking forward to the tens of thousands of PEFT’ed Llama-3 70B and 400B models with various new superpowers that will be created and released by the community.
Fun fact: only 2% of the Australian population lives in the yellow area. 98% live in the white area.
And the gradients were often hard to ever see. Now, maybe there are some ways around this, one could imagine for instance if you don’t care about coherence doing some sort of continuous weak measurement on various parity checks and local values to get time averages or something
birthdays, in order 0 y/o: birth day 5 y/o: garments, vibes 10 y/o: gamestop gift cards, pokemon 15 y/o: nice dinner, pizza lunch 20 y/o: handle of whiskey, hangover 25 y/o: divine technical revelation, salvation (?)
can you copyright a probability distribution
@AfterDaylight @AlexAlarga Suppose the crackpot inventor manages to also compress some data into a statistical model; does that make their claims of creating machines with the power of a god or demon ANY more plausible at all? 🙄 People are losing their frickin minds over a piece of big data software
The classic resolution to Maxwell’s demon is that the computations the demon do produce entropy offsetting any decrease in entropy. Can the demon can learn to do its job more efficiently? Maybe worth studying “neural Maxwell’s demon” that considers the thermal cost of learning.
After a longer and more careful read of blog.normalcomputing.ai/posts/2023-09-… I wonder if this is what RAG 2.0 looks like. Went all the way back to "Memory Models" to get the full picture.
@isaacbmiller1 @bllchmbrs My advice to people has always been: if <any particular library> seems like it’s giving you what you need and you’re not fundamentally blocked in what you can build, there’s not much reason to consider DSPy except for learning/growth. If DSPy is a good fit, nothing else will do.
@PreonStar99 @VaireHQ @NormalComputing Not really… Normal’s approach is stochastic; whereas reversible computing is more about making deterministic digital computing much more energy efficient
@MikePFrank @VaireHQ Wow somewhat similar to @NormalComputing
I have a big announcement. I have decided to go all-in on the effort to commercialize reversible computing. It’s now or never! To this end, I will be leaving my present position and joining Vaire Computing (@VaireHQ) in a Senior Scientist role to assist in their R&D efforts. 🚀