iiinova — where your digital self keeps evolving

Eric Ma @ericmjl.bsky.social · 28/09/2026

A model that fails for reasons you understand can teach more than a leaderboard win. A SLAS Discovery special issue welcomes negative results and failed AI deployments. Edited by Raminderpal Singh and Srijit Seal. Due Dec 15: www.slas-discovery.org/content/call...

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Eric Ma @ericmjl.bsky.social · 24/09/2026

Team stuck going in circles on a decision? Hand out 1,000 points of funny money and let everyone bet across the options. My 70-point bet vs. a teammate's 900 showed where conviction actually lived, more than hours of arguing did. ericmjl.github.io/blog/2026/9/...

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Eric Ma @ericmjl.bsky.social · 17/09/2026

Ask AI all day, remember nothing? That's cognitive debt. Answers aren't understanding. The fix is learning how to learn with AI as the accelerator, and one focused week is enough to acquire those skills. What would you learn first? ericmjl.github.io/blog/2026/8/... #learning #ai

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Ky @ky.fyi · 16/09/2026

Meta and X have been quietly downranking external links for ages, but we're now entering a new era of open hostility toward the open web. It's a great time to build your own website, free from any billionaires demanding a tithe for things that have always been free.

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Bob Morris, MD, PhD @rdmorris.bsky.social · 15/09/2026

But, in many cases, whether measles, COVID, or climate change, bad science has serious negative consequences. In this case, it is the partial reversal of one of the great public health achievements of the last century. 🧪 #episky #medsky

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Eric Ma @ericmjl.bsky.social · 14/09/2026

What did your last AI deployment actually change? Hit rate? Cycle time? The decision made differently? A SLAS Discovery special issue asks it of real deployments in drug discovery. Edited by Raminderpal Singh and Srijit Seal. Due Dec 15: www.slas-discovery.org/content/call...

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Eric Ma @ericmjl.bsky.social · 10/09/2026

Quantum computing isn't magic, it's a sampler for spaces too big to enumerate. I mapped quantum amplitudes to Bayesian posteriors after months of 1-on-1 tutoring. Interactive diagrams included. buff.ly/SRHm9eQ

ericmjl.github.io

Quantum Computing for the Probabilistic Bayesian

written by Eric J. Ma on 2026-08-07 | tags: quantum computing bayesian probability qubits entanglement interference superposition sampling inference amplitudes

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Eric Ma @ericmjl.bsky.social · 03/09/2026

What's the last thing you asked AI to explain? Could you reproduce that from memory right now? If not, you recognized it. You didn't learn it. Here's the fix. buff.ly/GhLwDKt #ai #learning

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How AI turbocharges your learning

written by Eric J. Ma on 2026-07-27 | tags: learning ai survey retrieval practice spaced repetition socratic method metacognition bloom's taxonomy

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Eric Ma @ericmjl.bsky.social · 31/08/2026

The best AI stories in drug discovery never make it into print. A new SLAS Discovery special issue collects them: real case studies, measurable outcomes, failures welcome. Edited by Raminderpal Singh and Srijit Seal. Due Dec 15: www.slas-discovery.org/content/call...

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Douglas Natelson @nanoscaleviews.bsky.social · 29/08/2026

🧪⚛️ Two terrible lab safety incidents at universities this week (HF at Hokkaido, dimethylmercury at MIT). Please be careful out there! nanoscale.blogspot.com/2026/08/lab-...

nanoscale.blogspot.com

Lab safety - seriously, be careful out there

This past week was a genuinely horrific reminder of the importance of lab safety, especially in the realm of hazardous chemicals. First, a...

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Eric Ma @ericmjl.bsky.social · 27/08/2026

Agents write the code now; understanding it is the bottleneck. Approve a PR you can't explain and you witnessed it, not reviewed it. I mapped the 2026 zeitgeist, with a playable quiz inside: buff.ly/46T6a5g

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The understanding zeitgeist in AI code review

written by Eric J. Ma on 2026-07-24 | tags: ai agents code review cognitive debt software engineering llms pull requests understanding learning micro-worlds

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Alexandre Andorra @alex-andorra.bsky.social · 24/08/2026

New episode is out! A very practical one, where we dive into the new research by Adrian Seyboldt, Eliot Carlson and Bob Carpenter about how to make your MCMC samplers go faster -- lots of gems in there, make sure to tune in!

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Eric Ma @ericmjl.bsky.social · 20/08/2026

Clicking through curves to flag outliers by hand? Deleting points is statistically broken. I fit 36 plates in 4 minutes flat. How would you feel about automation instead of manual clicking? Share with your team! ericmjl.github.io/blog/2026/7/... #bayesian #assays

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Going Bayesian automates your manual data analysis

written by Eric J. Ma on 2026-07-23 | tags: bayesian outliers automation hierarchy statistics reproducibility dose response data analysis

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Eric Ma @ericmjl.bsky.social · 13/08/2026

Reading ML papers feels like drowning in jargon. Pair-coding notebooks with an agent taught me more in an evening than a week of reading. How would you feel about playing with concepts instead of fighting syntax? ericmjl.github.io/blog/2026/7/... #ml #ai

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Curiosity at the wheel

written by Eric J. Ma on 2026-07-21 | tags: marimo ai agents learning machine learning notebooks curiosity eli5

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Eric Ma @ericmjl.bsky.social · 06/08/2026

Drowning in AI PRs? Stop arguing with bots. Pick a policy. A clear AI_POLICY.md ends the slop. How would you feel about real dialogue instead of bot relay? ericmjl.github.io/blog/2026/7/... #opensource #ai

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Choose your own AI policy

written by Eric J. Ma on 2026-07-20 | tags: ai open-source agents policy community collaboration scipy maintainers

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Eric Ma @ericmjl.bsky.social · 30/07/2026

Spending weeks merging assay files? One file can hold every assay. I built a skill that auto-assembles linked data packages. One curator manages many campaigns. How would you feel about shipping instead of wrangling? ericmjl.github.io/blog/2026/7/... #xarray #bioinformatics

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xarray in biology, take 2

written by Eric J. Ma on 2026-07-19 | tags: xarray datatree python bioinformatics datascience ai agents bayesian curation data packaging lab data

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Kim Wexler's Ponytail 🐝💛🎗 @madisonkittay.bsky.social · 25/07/2026

Garfield was not a cartoon. He was a PROPHET. #Caturday

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Eric Ma @ericmjl.bsky.social · 23/07/2026

What if your LLM woke in seconds, not minutes? Tested Ollama vs vLLM on Modal (Qwen3.6-27B). vLLM wins on cold starts and throughput. Post: setup, 3 snapshot bugs, CUDA graphs. How do you handle cold starts? buff.ly/e8LX5OE #llm #vllm

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Ollama, vLLM, and SGLang on Modal

written by Eric J. Ma on 2026-07-01 | tags: vllm ollama modal benchmarking deployment inference snapshots latency performance qwen3.6

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kepano @stephango.com · 18/07/2026

formats evolve over decades, apps over months, intelligence is evolving every day in terms of pace layers "file over app" defines priorities: invest deeply in proven formats, and don't expect anything at the intelligence layer to last very long

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Don Gato 🐱🐈‍⬛🐶🐺🌈🐯 @dongato-1.bsky.social · 19/07/2026

Y saltó Don Gato. 😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹 And Top Cat jumped in. 😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹😹

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Massimo (mirror) @rainmaker1973-m.bsky.social · 19/07/2026

Does your dog bite? No, he blesses. Original post

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Armin Ronacher @mitsuhiko.at · 16/07/2026

I wonder if this will make people reconsider their stance or become even more defensive.

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Eric Ma @ericmjl.bsky.social · 16/07/2026

Does AI widen the expert-novice gap? Live-demoed a Bayesian model with an agent. It amplified my judgment. For experts, a microscope. For novices, fast wrong answers. 'Vibe zones' and trust scaling with verification. What's your experience? #ai #datascience buff.ly/BVb49jC

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Agents amplify expertise and ignorance

written by Eric J. Ma on 2026-06-17 | tags: bayesian modeling automation expertise judgment agents notebooks protein science learning

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Spageddy Lee @deadbarchetta.bsky.social · 13/07/2026

Bagel says good evening every buddy

A large black lab with brown eyes looking sweetly at the camera. His name is Bagel and he loves you very much

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kaybell27.bsky.social @kaybell27.bsky.social · 12/07/2026

The Norwegian team has been a delight to watch and they represent all that is positive about football.

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Chris Fonnesbeck @fonnesbeck.bsky.social · 11/07/2026

If you're not prepared to get your kids vaccinated, don't have children.

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Eric Ma @ericmjl.bsky.social · 09/07/2026

What if your agent learned from its mistakes without you telling it to? I built a plugin that watches sessions, extracts lessons, and patches skills. 922 observations, 200+ reviews in 10 days. It patched a skill on its own. No babysitting. #opencode #aiagents ericmjl.github.io/blog/2026/6/...

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My coding agent learned a lesson and patched its own skill

written by Eric J. Ma on 2026-06-16 | tags: automation react productivity ai memory learning coding open source state tools

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Eric Ma @ericmjl.bsky.social · 02/07/2026

Stuck switching branches without losing half-finished work? I use git worktrees now. Multiple doors into the same repo: no syncing, no duplication, separate folders sharing one brain. One brain, many desks. What's your go-to trick? #git #programmingtips buff.ly/B8p0Xt6

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Git worktrees for beginners

written by Eric J. Ma on 2026-06-15 | tags: git worktree branches workflow productivity hotfix review cloning cleanup tips

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Eric Ma @ericmjl.bsky.social · 25/06/2026

Building voice-first AI apps is a wild ride. Learned a ton (and hit walls) making projects where you talk and the AI listens. Sharing my biggest lessons and surprises. buff.ly/IJmtC8l #voiceai #aidev

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Lessons building voice-first AI apps

written by Eric J. Ma on 2026-06-13 | tags: voice ai api debugging transcripts web ux tools logging architecture

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Eric Ma @ericmjl.bsky.social · 18/06/2026

What is an #agentharness, really? I tried defining this term that keeps popping up across AI. Broke down tools, controls, and action space with real examples. Your take? buff.ly/Eu5qr1G #ai

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What is an agent harness?

written by Eric J. Ma on 2026-06-12 | tags: agents harness controls tools environment knowledge constraints design prompting action

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SciPy Conference 2026 @scipyconf.bsky.social · 17/06/2026

📚 Learn from experts during two full days of tutorials, covering everything from Python fundamentals to advanced topics such as GPU-accelerated computing, machine learning, and building AI-powered coding assistants using retrieval-augmented generation (RAG).

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SciPy Conference 2026 @scipyconf.bsky.social · 17/06/2026

💛 It's where maintainers meet first-time contributors. Where researchers discover tools that transform their work. Where students find mentors. Where hallway conversations become collaborations, papers, startups, and open-source projects used by millions around the world.

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SciPy Conference 2026 @scipyconf.bsky.social · 17/06/2026

🎉 Less than one month until #SciPy2026! 👉️ ti.to/scipy/scipy2... When people ask what SciPy is, it's tempting to say it's a conference about Python for scientific computing. But SciPy has always been much more than that.

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Eric Ma @ericmjl.bsky.social · 17/06/2026

Eeyore is now immortalized on a license plate.

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P(aul) Frazee @pfrazee.com · 16/06/2026

At some point, you have to flip the switch from "it's dangerous to let everyone have this for offense" to "it's dangerous not to let everyone have this for defense." The jailbreak is credible but IMO the decision wasn't substantive. Anthropic created glasswing to prepare for this exact need.

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Cat Hicks @grimalkina.bsky.social · 15/06/2026

Saving this to my zotero so I can reference it across my work and organize my library aka using the devil machine for lazy liars according to bsky historians

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Eric Ma @ericmjl.bsky.social · 14/06/2026

Wow, technical wizardry. My brain kinda broke seeing lua code/C++ being shipped as a Python package...

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scikit-learn @scikit-learn.org · 12/06/2026

🎉 Scikit-learn 1.9 released: ■Solid improvements to many existing estimators: faster, more stable, handling missing values, adding GPU support… ■Also, enhanced estimator displays in notebooks, ■And callbacks that enable progress bars or monitoring of convergence blog.scikit-learn.org/updates/rele...

blog.scikit-learn.org

scikit-learn release 1.9: better numerics, new core functionality

Author: Gael Varoquaux

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Aaron Reichlin-Melnick @reichlinmelnick.bsky.social · 13/06/2026

A SECOND person died of exposure last winter after DHS dumped them in the middle of nowhere, miles from their home, without notifying their family.

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ContempraInn 🌹 @contemprainn.bsky.social · 13/06/2026

This is so Artistic 😊

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Eric Ma @ericmjl.bsky.social · 11/06/2026

How do you multitask with AI agents—without burning out? A simple three-tier system changed my workflow. I share what’s worked for me and where I still struggle. Honest and practical! How do you keep your focus? Let’s swap tips! buff.ly/X5em0Cn #.productivity #.automation

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How to Multitask Better with Agent Harnesses

written by Eric J. Ma on 2026-06-08 | tags: productivity automation workflows notifications focus priorities agents multitasking background harnesses

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SciPy Conference 2026 @scipyconf.bsky.social · 05/06/2026

🌐 Tutorial Spotlight: Ever wondered how to find hidden patterns in messy, connected data? @ericmjl.bsky.social teaches NetworkX fundamentals, then dives into LLMs, cuGraph, and more. Perfect for beginners and curious pros alike 🧠 #SciPy2026 🔗 scipy2026.scipy.org

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Eric Ma @ericmjl.bsky.social · 04/06/2026

Which coding agent harness actually boosts your workflow? I tested Codex, cmux, and Cursor—each surprised me. Here’s my quick take on their workspaces, notifications, automations, and open source status. Tried any of these? Drop a comment or repost! buff.ly/l8uurni #.codingtools #.opensource

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Exploring Agent Harnesses - A Comparative Analysis of Codex, CMux, and Cursor

written by Eric J. Ma on 2026-06-04 | tags: automation workspace notifications browser comparison productivity review open source coding agents

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Eric Ma @ericmjl.bsky.social · 28/05/2026

Standardization hurts—until it saves your team. Upfront pain, long-term gain: standards make everything smoother. I share what worked (and didn’t) for us at Moderna. What would you standardize first? Comment or share! buff.ly/QJleznp #.datascience #.teamwork

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Reflections from the BioIT World workshop - standardization is worth the effort

written by Eric J. Ma on 2026-05-27 | tags: standardization onboarding roi adoption ai hiring workflows structure tooling culture

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