Steven Ge

@stevenge.bsky.social

Professor, founder of Orditus. AI, genomics, bioinformatics

For bioinformatics coding, use Codex with gpt-5.6-sol. Beats Claude Code with Opus 4.8 by a long shot. Fable 5 won't even look at anything remotely related to biology.

My 5 strategies for saving tokens—especially with Claude Fable 5: - Use Claude.ai for bounded tasks. Use Claude Code only when it needs to inspect files, edit a repo, run commands, or test its work. - Control the context. Start a new chat when switching tasks. Edit a prompt instead of piling on.

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“Explain briefly in plain language, using bullet points.” I’ve been saying this to LLMs a lot recently. These models have become incredibly powerful. But their answers are often long, technical, and overly detailed. Sometimes I simply don’t have the time, patience, or knowledge to read.

I still upload key files to the Claude or ChatGPT websites to get a fresh perspective. Claude Code or Codex can be influenced by what's in the local project folder. CLAUDE.md, AGENTS.md, and project memory files are helpful but could also prime AI. The web offer a fresh, controlled context.

Don't worry about not keeping up with AI. Nobody is. Identify and solve a problem! Even last year's AI is underutilized! For scientists, discover something new. Or create a tool that helps others.

On June 5th Israel attacked the home of Lebanese sea turtle conservationist Mona Khalil. Mona was hospitalized with burns and injuries to over 70% of her body. Yesterday, June 19th, Mona died from her injuries. This wasn’t an accident.

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Anyone can create data dashboards with AI. Following this tutorial, you can use ChatGPT, React, and VS Code to turn a data file into a simple, interactive dashboard. You do not need to know how to code or understand HTML or JavaScript to get started.

vibe

gexijin.github.io

I've been following & researching "precision" medicine / genomics for decades... So much hype. So much underwhelming or narrow applications. This seems genuinely exciting! 👇 Groundbreaking genomic test could spare millions of breast cancer patients chemotherapy www.theguardian.com/society/2026...

Groundbreaking genomic test could spare millions of breast cancer patients chemotherapy

Trial suggests patients with a low test score could be treated with hormone therapy alone with near-identical outcomes

theguardian.com

Confession: I trusted Claude Code too much and moved too fast in my bioinformatics research. AI's execution outpaced my ability to understand. I was prompting & accepting without reading the full responses. The result? Cognitive debt that compounds over time.

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Codex CLI is fast. Claude Code is thoughtful. Codex wins on speed and cost. Claude wins on judgment. What stood out to me is that Claude Code better understands the project as a whole: the files, the context, and what I actually want done.

Vibe Writing: how I co-write with Claude Code, one sentence at a time. It’s not “AI, write my paper.” It’s me thinking out loud while AI handles the mechanics. I direct. AI drafts. I said, “move this to methods” → Claude saw it was already covered there and cut the redundancy.

The new GPT-5.4 Mini is slightly less intelligent but faster and costs only 30% of GPT-5.4 and 15% of Opus 4.6. It would be great for many applications. This also makes running local models hard to justify solely on economic grounds. openai.com/index/introd...

Introducing GPT-5.4 mini and nano

GPT-5.4 mini and nano are smaller, faster versions of GPT-5.4 optimized for coding, tool use, multimodal reasoning, and high-volume API and sub-agent workloads.

openai.com

--dangerously-skip-permissions in Claude Code worked fine for months — until today. Claude wiped all the scripts in one of my subfolders, and I hadn’t committed several hours of work yet. Lessons: Commit often. Use YOLO mode with caution.

Good news: Claude Code can run complex data analyses on its own for hours. Bad news: it makes many decisions quietly along the way. Hard-coded parameters, filtering choices, and assumptions. Most are fine, but a single bad parameter can derail the entire workflow.

I'm wondering if the reason many people are so keen on this "science through repeated prompts" idea is because that's already how they operate with their students (or, outside of academia, their team). Try this vague idea. Try again. Come back next week after trying more. Make this into a paper.