Rhys McAlister

204 posts

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Rhys McAlister

Rhys McAlister

@aqollo_

Sydney, New South Wales เข้าร่วม Şubat 2017
1.1K กำลังติดตาม133 ผู้ติดตาม
Rhys McAlister
Rhys McAlister@aqollo_·
@0xexpt do you need a different pen for this or does it work with regular pens?
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exp
exp@0xexpt·
This is a long awaited addition I wanted for peptaura, because I believe this is a much superior format to vials! PENS / CARTRIDGES !! The supplier we onboarded sells 3 options : - single-chamber powdered cartridges - single-chamber reconstituted cartridges - dual-chamber cartridges (the best) A dual-chamber cartridge is essentially a cartridge with one chamber with the still lyophilized peptide and another chamber with BAC water. It only mixes/reconstitutes when you insert into the pen, which makes it perfect for shipping! Really excited for this, expect it to be available tonight on EST!
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c@punishedfounder·
@aqollo_ @ShelB00000 @_TrueVoodoo it sometimes takes a few days, but it can be really fast we just implemented a feature that helps them process orders better so this should get faster if you DM me your order # I can check for you
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Lawrence | SwolLyfe
Lawrence | SwolLyfe@_TrueVoodoo·
Don’t get raped by fitness influencers.
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c@punishedfounder·
if peptaura becomes the go to marketplace for petides, our leverage will increase to the point where we’ll be able to strong-arm sellers into more stringent QC standards and testing we’ve already caused global peptide prices to drop now we want even better quality
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Dr. Spencer Nadolsky
Dr. Spencer Nadolsky@DrNadolsky·
Everyone today when the first retatrutide phase 3 data came out
GIF
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Hamel Husain
Hamel Husain@HamelHusain·
Who is doing interesting integrations between AI and notebooks (like the Jupyter kind, for coding)? Looking for deep integrations that are beyond naive chat with your notebook. Here’s what I know of so far @jeremyphoward : solveit @juliusai : data analysis Who else??
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Jeremy Howard
Jeremy Howard@jeremyphoward·
Management: You know what the world really needs? Devs: ? Management: A new vscode fork. Devs: ??? Management: OK get to work.
Andy Jassy@ajassy

Introducing Kiro, an all-new agentic IDE that has a chance to transform how developers build software. Let me highlight three key innovations that make Kiro special: 1 - Kiro introduces spec-driven development, helping developers express their intent clearly through natural language specifications and architecture diagrams for complex features. This comprehensive context helps Kiro’s AI agents deliver better results with fewer iterations. 2 - Kiro features intelligent agent hooks that automatically handle critical but time-consuming tasks like generating documentation, writing tests, and optimizing performance. These hooks work in the background, triggered by events like saving files or making commits. It’s like having an experienced developer constantly reviewing your work and handling the maintenance tasks that often get delayed. 3 - Kiro provides a purpose-built interface that adapts to how developers work. Whether you prefer chat interactions or working with specifications, Kiro supports your workflow while keeping you in control of the development process. Kiro is really good at "vibe coding" but goes well beyond that. While other AI coding assistants might help you prototype quickly, Kiro helps you take those prototypes all the way to production by following a mature, structured development process out of the box. This means developers can spend less time on boilerplate code and more time where it matters most – innovating and building solutions that customers will love. Starting today, Kiro is available for free during preview and supports most popular programming languages. Here’s how to get started with @kirodotdev today: kiro.dev/blog/introduci… Excited to see how developers use Kiro, and to work with the developer community to continue to shape Kiro moving forward.

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Steven Brunton
Steven Brunton@eigensteve·
New Book & Video Series!!! (late 2025) Optimization Bootcamp: Applications in Machine Learning, Control, and Inverse Problems Comment for a sneak peak to help proofread and I'll DM (proof reading, typos, HW problems, all get acknowledgment in book!)
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Athena Leong
Athena Leong@athenamakes·
Built a plugin that turns Obsidian notes into flashcards for spaced repetition📝 Revisiting 3 years of book notes feels like catching up with old friends - familiar, surprising, and full of things I'd forgotten I loved ☺️
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owl
owl@owl_posting·
Can AI improve the current state of molecular simulation? owlposting.com/p/can-ai-impro… in my first podcast, I spend 2 hours interviewing @CorinWagen and @AriWagen, two brothers who are building the next generation of molecular simulation for drug discovery and material sciences 🧵
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Orbital
Orbital@OrbitalHardware·
Join us this Friday as Yi-Lun Liao (@yilunliao) from @MIT & Aditi Krishnapriyan (@ask1729) from @UCBerkeley explore the new methodologies for training and scaling neural network potentials (NNPs) that are reshaping #AI applications in materials science. bit.ly/3NWwFVN
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Rhys McAlister
Rhys McAlister@aqollo_·
@CorinWagen @olexandr Hi Corin, slightly off topic but I was wondering if you kept track of timings for calculations internally? It would be interesting to look over a dataset of calculation timings with methods and basis sets and molecule type data.
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Corin Wagen
Corin Wagen@CorinWagen·
@olexandr I think the plan is to add more test sets—any suggestions? Agreed that some of the subsets of GMTKN55 are a bit odd, but tough to find CCSD(T)/CBS data and it's nice to be able to compare pretrained NNPs to DFT methods directly. We're working on new benchmarks internally...
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Olexandr Isayev 🇺🇦🇺🇸
While it’s excellent idea to have a leaderboard for benchmarking MLIPS. IMO GMTKN55 is not a good set for that. Starting from the biases in the systems sizes, types to very confusing units;)) 🤓
Ari Wagen@AriWagen

Molecular simulation is changing. People are training neural networks to accelerate DFT-quality simulation and model large systems with unprecedented accuracy. With new models releasing every week, it's hard to keep up. That's why I'm launching NNP Arena: ariwagen.com/nnp-arena

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Rhys McAlister
Rhys McAlister@aqollo_·
@HannesStaerk @n_gao96 @n_gao96 Thanks for the excellent presentation, I was wondering if you could share the code you used to prepare the heatmap plot for your paper? Thanks 🙏
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Gilad
Gilad@giladturok·
"we don't know what to do with those chains yet, but I have the gut feeling that once we do, probabilistic programming will have another breakthrough" - @remilouf on parallelizing 100s of MCMC chains with JAX
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Rhys McAlister
Rhys McAlister@aqollo_·
@cloneofsimo How do you usually figure out the optimal hparams other than just grid search?
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Simo Ryu
Simo Ryu@cloneofsimo·
Wow shampoo epsilon of 1e-1 is very shit: almost as bad as adamW meanwhile, shampoo of 1e-8 is really good. Just realizing again Shampoo epsilon is really really important hparam.
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