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Write for Your Readers Even If They Are Agents

https://commonsware.com/blog/2026/02/06/write-for-your-readers-even-if-they-are-agents.html
1•ingve•16s ago•0 comments

Knowledge-Creating LLMs

https://tecunningham.github.io/posts/2026-01-29-knowledge-creating-llms.html
1•salkahfi•51s ago•0 comments

Maple Mono: Smooth your coding flow

https://font.subf.dev/en/
1•signa11•7m ago•0 comments

Sid Meier's System for Real-Time Music Composition and Synthesis

https://patents.google.com/patent/US5496962A/en
1•GaryBluto•15m ago•1 comments

Show HN: Slop News – HN front page now, but it's all slop

https://dosaygo-studio.github.io/hn-front-page-2035/slop-news
3•keepamovin•16m ago•1 comments

Show HN: Empusa – Visual debugger to catch and resume AI agent retry loops

https://github.com/justin55afdfdsf5ds45f4ds5f45ds4/EmpusaAI
1•justinlord•18m ago•0 comments

Show HN: Bitcoin wallet on NXP SE050 secure element, Tor-only open source

https://github.com/0xdeadbeefnetwork/sigil-web
2•sickthecat•21m ago•1 comments

White House Explores Opening Antitrust Probe on Homebuilders

https://www.bloomberg.com/news/articles/2026-02-06/white-house-explores-opening-antitrust-probe-i...
1•petethomas•21m ago•0 comments

Show HN: MindDraft – AI task app with smart actions and auto expense tracking

https://minddraft.ai
2•imthepk•26m ago•0 comments

How do you estimate AI app development costs accurately?

1•insights123•27m ago•0 comments

Going Through Snowden Documents, Part 5

https://libroot.org/posts/going-through-snowden-documents-part-5/
1•goto1•27m ago•0 comments

Show HN: MCP Server for TradeStation

https://github.com/theelderwand/tradestation-mcp
1•theelderwand•30m ago•0 comments

Canada unveils auto industry plan in latest pivot away from US

https://www.bbc.com/news/articles/cvgd2j80klmo
2•breve•31m ago•1 comments

The essential Reinhold Niebuhr: selected essays and addresses

https://archive.org/details/essentialreinhol0000nieb
1•baxtr•34m ago•0 comments

Rentahuman.ai Turns Humans into On-Demand Labor for AI Agents

https://www.forbes.com/sites/ronschmelzer/2026/02/05/when-ai-agents-start-hiring-humans-rentahuma...
1•tempodox•35m ago•0 comments

StovexGlobal – Compliance Gaps to Note

1•ReviewShield•38m ago•1 comments

Show HN: Afelyon – Turns Jira tickets into production-ready PRs (multi-repo)

https://afelyon.com/
1•AbduNebu•39m ago•0 comments

Trump says America should move on from Epstein – it may not be that easy

https://www.bbc.com/news/articles/cy4gj71z0m0o
6•tempodox•40m ago•2 comments

Tiny Clippy – A native Office Assistant built in Rust and egui

https://github.com/salva-imm/tiny-clippy
1•salvadorda656•44m ago•0 comments

LegalArgumentException: From Courtrooms to Clojure – Sen [video]

https://www.youtube.com/watch?v=cmMQbsOTX-o
1•adityaathalye•47m ago•0 comments

US moves to deport 5-year-old detained in Minnesota

https://www.reuters.com/legal/government/us-moves-deport-5-year-old-detained-minnesota-2026-02-06/
8•petethomas•50m ago•3 comments

If you lose your passport in Austria, head for McDonald's Golden Arches

https://www.cbsnews.com/news/us-embassy-mcdonalds-restaurants-austria-hotline-americans-consular-...
1•thunderbong•55m ago•0 comments

Show HN: Mermaid Formatter – CLI and library to auto-format Mermaid diagrams

https://github.com/chenyanchen/mermaid-formatter
1•astm•1h ago•0 comments

RFCs vs. READMEs: The Evolution of Protocols

https://h3manth.com/scribe/rfcs-vs-readmes/
3•init0•1h ago•1 comments

Kanchipuram Saris and Thinking Machines

https://altermag.com/articles/kanchipuram-saris-and-thinking-machines
1•trojanalert•1h ago•0 comments

Chinese chemical supplier causes global baby formula recall

https://www.reuters.com/business/healthcare-pharmaceuticals/nestle-widens-french-infant-formula-r...
2•fkdk•1h ago•0 comments

I've used AI to write 100% of my code for a year as an engineer

https://old.reddit.com/r/ClaudeCode/comments/1qxvobt/ive_used_ai_to_write_100_of_my_code_for_1_ye...
2•ukuina•1h ago•1 comments

Looking for 4 Autistic Co-Founders for AI Startup (Equity-Based)

1•au-ai-aisl•1h ago•1 comments

AI-native capabilities, a new API Catalog, and updated plans and pricing

https://blog.postman.com/new-capabilities-march-2026/
1•thunderbong•1h ago•0 comments

What changed in tech from 2010 to 2020?

https://www.tedsanders.com/what-changed-in-tech-from-2010-to-2020/
3•endorphine•1h ago•0 comments
Open in hackernews

Cancer has a surprising amount of detail

https://www.owlposting.com/p/cancer-has-a-surprising-amount-of
7•crescit_eundo•3mo ago

Comments

abhishaike•3mo ago
thanks for posting this here!
epistasis•3mo ago
Thanks for your posts! I've been very impressed with your ability to both be at the leading edge of knowledge and communicate the parts that are most interesting for a broad technical audience, it's an impressive skill.
abhishaike•3mo ago
<3 high praise, appreciate the kind words
epistasis•3mo ago
This is one reason why I'm so frustrated by the "cancer research is not reproducible" news stories that get out.

Not because cancer studies actually are reproducible, but rather because the reason they are not so often reproducible often comes down to the high complexity of the disease.

You grow your HCC1139 cell line in your lab, with your own supply of reagents, and you might get very different gene expression profiles of a lab in a different country growing HCC1139 cell lines on their own supply of reagents. There's so many subtleties in what is going on underneath in these systems that getting them right is insanely hard.

We don't know all the inputs, all the variables, that influence results. Getting the same result in one lab three times doesn't mean that another lab will get exactly the same results. But until we publish the results, we won't know what does and doesn't reproduce, unless there's that stake in the ground and a concerted effort to spend the highly limited time focused on pushing forward the boundaries of knowledge, we won't know.

So even if a broad range of hundreds of wet lab techniques, across thousands of experimental systems, doesn't always get the same result in different hands, unless we start to push at the amount of detail going on we'll never understand how to start to treat all these things.

Anyway, that's my rant, and I can understand why outsiders are concerned about individual cancer research experiments not reproducing at a very high rate, but I think it needs to be placed in this sort of context, where we only have measurement tools for a tiny fraction of what's going on, and need to still discover all the unknown unknowns.

abhishaike•3mo ago
I completely agree, but I also think there is some truth to the related statement: 'cancer research often isn't conducted in a way that is actually useful'!

For example, in-vivo tumor experiments in mice can yield completely different results depending on exactly where the tumor was implanted. E.g. a 'lung cancer mouse model' may have the lung cancer injected just under the skin, also known as subcutaneous tumor models, instead of in the lung! Entirely because it's a lot more efficient + yields more trustable data, but the results are often deeply disconnected from how the tumor would naturally grow + respond to drugs within its host organ.

dekhn•3mo ago
If your experimental system is so delicate that it can't be reproduced in another location (by expert hands), is it really a good experimental system? To me it sounds like a terrible experimental system that is brittle and does not generalize.

Let me give an example of a good experimental system: restriction endonucleases. You can download the original papers where EcoRI, BamH, etc, were isolated, purified, and demonstrated to show sequence-specific DNA cutting. Any student in any lab in the world can pull those papers- some 40+ years after they were published- and reproduce them using trivial old techniques and map any random plasmid with it. It might work a little worse in an incredibly hot lab, or a very cold one, but you'll still get all the activity you need to demonstrate that you purified a restriction endonuclease.

There are a lot of researchers out there who have something in their lab that they use to generate papers, but who are not actually discovering anything that is robust and generalizable- and those are required steps for treating people with cancer reliably at scale. Many results are irreproducible because the authors were incompetent or lying (or outright fooling themselves and others without knowing).