Answer: because seniors know the language of software architecture. This enriches their LLM prompting significantly. If you want to successfully use AI for coding, learn some software architecture!

Proud to have been a part of this, a great example of distributed async science! Huge thanks to @marcusghosh.bsky.social, @neuralreckoning.bsky.social, @tfiers.bsky.social, @krhab.bsky.social and others for putting in the bulk effort 🙌

A great piece from @ersatzben.bsky.social on the importance of bold, aesthetic, mission-oriented directions in publicly funded research. betterscienceproject.substack.com/p/the-counte...

How can we best use AI in science? Myself and 9 other research fellows from @imperial-ix.bsky.social use AI methods in domains from plant biology (🌱) to neuroscience (🧠) and particle physics (🎇). Together we suggest 10 simple rules @plos.org 🧵 doi.org/10.1371/jour...

New preprint for #neuromorphic and #SpikingNeuralNetwork folk (with @pengfei-sun.bsky.social). arxiv.org/abs/2507.16043 Surrogate gradients are popular for training SNNs, but some worry whether they really learn complex temporal spike codes. TLDR: we tested this, and yes they can! 🧵👇 🤖🧠🧪

🟢 Applications are now open for two SSI Fellows' events: Niko Sirmpilatze's "Animals in Motion" and Alessandro Felder's "Big Imaging Data". These events will take place during the NIU Open Software Week running between Monday 11 and Friday 15 August in London. www.software.ac.uk/news/ssi-fel...

How do babies and blind people learn to localise sound without labelled data? We propose that innate mechanisms can provide coarse-grained error signals to boostrap learning. New preprint from @yang-chu.bsky.social. 🤖🧠🧪 arxiv.org/abs/2001.10605

Come build tools for science with us in London! Food, cool people, great speakers (on both the science and toolmaking sides). #neuroskyence #openscience #desci #openchem #bioinformatics #opensource #foss

How can we explore the space of computational models in #neuroscience 🧠? Picture a mouse navigating an environment with light and dark areas. 🧵1/10

If you’re in SF, come build tools-for-science with us later this month! 🛠️ #opensource #neuroskyence #openscience #machinelearning #compchem #chemsky

Just getting started @standupforscience.bsky.social

Scientific data and independence are at risk: We need to work with community-driven services and university libraries to create new multi-country organizations that are resilient to political interference. By @neuralreckoning.bsky.social #neuroskyence www.thetransmitter.org/policy/scien...

#opensource #python #openscience #neuroskyence #machinelearning #neuroai

🔧 Logis - turn your git history into a searchable scientific log. The `@commit` decorator auto-commits your code when your experiment runs - with metadata in the message. Then you can find previous results by querying for commits with (e.g.) metrics.accuracy > 0.9. github.com/flywhl/logis

Two Hard Things (2009) Discussion

Who likes categories anyway? I wonder what this means for the concept of "areas"... #neuroscience www.thetransmitter.org/neural-codin...

🔧 Cyantic v0.3.0 - a little library I wrote that builds complex Python objects (like Tensors) from simple blueprints using @pydantic.dev. (The name comes from cyanotype photography, i.e. the "blueprint") #opensource #python #openscience github.com/flywhl/cyantic

🔧 Re-sharing an old tool: a recursive function to generate hierarchical, modular, Dalean connectivity matrices in PyTorch. Modules are locally dense, with increasingly sparse connections to more distal modules. #neuroai #neuroskyence gist.github.com/rorybyrne/dd...

I see the talks from Montreal AI and Neuroscience (MAIN) 2024 are now online: www.youtube.com/@MAINConfere... #neuroai #neuroskyence

Forget LLMs, we need more good-old-fashioned code generation. Especially in science. I should be able to define models, analysis, wet-lab protocols, and figures in a declarative language (SQL is declarative), and use opinionated tools to generate the required code. github.com/sqlc-dev/sqlc

Pleasantly surprised to see surrogate gradients used here to optimise over collision detection events (@ 18:28). Relevant for #NeuroAI since step functions can model lots of things in neurons beyond just spiking. www.youtube.com/watch?v=L_Al...

Nice to see journals thinking about software tools, but I wonder if they can offer more to toolmakers than “here is a place to re-write your README in more opaque language”?

If you work with Python dataframes (pandas, @pola.rs) and are not using skrub.TableReport, you're missing out 😀 We keep improving it

86% of OSS contributions from organisations are in the form of employee labour.

Unconscious mind rules the roost. "According to the researchers, this theory is important because it explains that all our decisions and actions are actually made unconsciously, although we fool ourselves into believing that we consciously made them." www.bumc.bu.edu/camed/2022/1...

And if my grandmother had wheels she’d be a bicycle.

We highlighted member Susan Goldin-Meadow's groundbreaking research on language origins. Her @uofchicago.bsky.social work reveals how deaf children create communication, transforming our understanding of human linguistic creativity. Read more: www.pnas.org/doi/10.1073/...

I love this especially for research study designs

I love this idea of a "call for problems"

🔧 I built a tool today (alpha). github.com/flywhl/cast Cast is a small lib, using @pydantic.dev to build complex Python objects from parameter specs. E.g. write a pydantic model with a tensor, pass in _parameters_, receive the built tensor. #opensource #openscience #neuroskyence #machinelearning

I would greatly appreciate submissions and shares of this, to help us motivate funders to support open source toolmaking for academic science. 🙏 #neuroskyence #neuroscience #neuroai #chemsky #compchem #compbio #hpc #machinelearning #ai

Open-source allows research to move from theory to practice, leading to new scientific breakthroughs that rely on the power of several NumFOCUS projects to complete their research. You can help projects continue pushing boundaries by donating today! hubs.la/Q02-nBzP0 #OpenCode4BetterScience

“We don’t value software, data, and methods in the same way we value papers, even though those resources empower millions of scientists” 💯 www.statnews.com/sponsor/2024...

Migration from the Bad Place completed, the whole lab is on 🦋💙! Roll call to follow, in the meantime have a look at our website: lots of pics of pretty neurons & some occasional science content and, importantly, strongly worded opinions about open science and research culture gallianolab.org

Great example of “last mile” tooling needed to bridge AI to scientific workflows. It’s hard to get these built in academia because they require a traditional software eng skillset (eg. building UIs) that scientists rarely have.

NESTML: A declarative language for writing neuron models, build by @poojanbabu.bsky.social. github.com/nest/nestml

Thanks Jascha 🫶 We’re working hard to create sustainable funding mechanisms for open source scientific tooling - understanding the challenge landscape is a key first step!

I am now @rory.bio - cool. A very clever (partial-)solution to the authenticity problem over at Twitter.

Just found out there’s a name for the way I structure my notes: Discourse Graph. www.protocol.ai/blog/discour... #toolsforscience #openscience

I propose we switch from saying preprint / published paper to saying publish / reprint. "I published my paper on arxiv and I'm hoping to get it reprinted in Nature"

Hi friends, I'm Rory 👋 I study comp neuro at Cambridge with @timothyoleary.bsky.social, asking how neuronal biophysics contributes to network function, using tools from AI. Speaking of tools, I also run a little org trying to create new incentives for building tools for science: flywhl.dev.