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Show HN: Wave – Talk to AI. Meet the human on the other side

https://www.getonwave.com/
1•nabil_idrissi•2m ago•0 comments

Things that made me come back to Emacs

https://cephei8.dev/blog/emacs-things/
1•signa11•8m ago•0 comments

I turned Slack into a live console for my production dotnet app

https://mykeels.com/blog/i-turned-slack-into-a-live-console-for-my-production-dotnet-app/
1•mykeels•9m ago•0 comments

Heap. – native desktop Kanban, calendar, and docs for engineers

https://github.com/sectapunterx/heap
1•eloisius•13m ago•0 comments

Five Unix ideas from the 1970s are why Linux still works so well

https://www.howtogeek.com/stop-reinventing-the-wheel-these-unix-ideas-from-the-seventies-are-why-...
1•teleforce•17m ago•0 comments

RL economics, morally charged terms, and "distillation"

https://thomasdullien.github.io/posts/2026-06-15-rl-economics-morally-charged-terms-and-distillat...
1•samuel246•19m ago•0 comments

How to prevent white clothes from turning yellow in storage

https://www.southernliving.com/how-to-pevent-white-clothes-from-turning-yellow-in-storage-12016122
1•teleforce•19m ago•0 comments

Tokensave: An MCP Server That Saved Me Tokens While Coding

https://www.tobiasreithmeier.de/en/blog/tokensave-mcp-server-tutorial-review
1•freediver•23m ago•0 comments

Show HN: Synapse – local codebase indexer and MCP server for Claude Code

https://github.com/nrkoka786/synapse
1•nrkoka1•32m ago•0 comments

Overload and insight look identical from the outside

https://pilgrima.ge/p/what-the-wire-knows
1•momentmaker•35m ago•0 comments

Show HN: Free car spec db to defeat the paywalls

https://openlaborproject.com/
1•chackleman•39m ago•1 comments

Madison Square Garden Sues Wired Magazine over L.G.B.T.Q. Tracking Report

https://www.nytimes.com/2026/07/18/business/media/msg-entertainment-sues-wired-magazine.html
1•ChrisArchitect•39m ago•1 comments

How Word Count Is Important for Social Media Posts

https://medium.com/@thesuperrepemail/how-word-count-is-important-for-social-media-posts-87372645377c
2•rajsuper123•51m ago•0 comments

William Gaddis and William H. Gass: A Literary Conversation and Reading (1995)

https://www.92ny.org/archives/william-gaddis-and-william-h-gass-a-literary-conversation-and-reading
1•ofalkaed•56m ago•0 comments

Trump Media pitched $100K monthly fee for fastest feed of US president's posts

https://www.reuters.com/business/media-telecom/trump-media-pitched-100000-monthly-fee-fast-feed-u...
4•geox•58m ago•1 comments

Disney Has Started Feeding Your Kids AI Slop

https://kotaku.com/disney-has-started-feeding-your-kids-ai-slop-2000717222
5•wslh•1h ago•0 comments

Lawyers risk being sued for failing to use AI

https://www.legalcheek.com/2026/07/lawyers-risk-being-sued-for-failing-to-use-ai/
3•Tomte•1h ago•0 comments

LLM-Integrated Multivariable Calculus Course

https://calculus.academa.ai/
8•sinaatalay•1h ago•5 comments

Topographical Collection of King George III

https://www.flickr.com/photos/britishlibrary/collections/72157719509637544/
1•Eridanus2•1h ago•0 comments

XRPLink – Cryptographically Verified XRP Payment Receipts, Powered by Flare FDC

https://github.com/joverman/xrplink
1•joverman•1h ago•0 comments

FDA approves new kind of cholesterol pill

https://www.fda.gov/news-events/press-announcements/fda-approves-first-oral-pcsk9-inhibitor-lower...
7•mgh2•1h ago•1 comments

Useless Use of Cat Award

https://porkmail.org/era/unix/award
1•gregsadetsky•1h ago•1 comments

Novo Space builds modular computers for satellite constellations

https://runtimewire.com/article/startup-spotlight-novo-space-builds-modular-computers-for-satelli...
1•ryanmerket•1h ago•0 comments

Gaming Sickness and Its Impact on Players' Experiences with Games

https://dl.acm.org/doi/10.1145/3670653.3677494
2•BiraIgnacio•1h ago•0 comments

I built a browser-based P2P file transfer tool using WebRTC

https://airdows.com/
2•SamOkampo•1h ago•1 comments

Jordan Ellenberg explains how geometry helps us understand the world

https://www.cbc.ca/lite/story/1.6448326
1•colinprince•1h ago•0 comments

Retry is not a loop, its a data structure

https://siddhantkhare.com/writing/retry-is-not-a-loop
2•meetpateltech•1h ago•0 comments

Association Between Low/No-Calorie Artificial Sweeteners and Cognitive Decline

https://www.neurology.org/doi/10.1212/WNL.0000000000214023
2•corvad•2h ago•0 comments

PersonalDrive: Personal Cloud Storage

https://personaldrive.xyz/
2•thunderbong•2h ago•1 comments

Implementation of "Writing a C compiler" in Zig

https://github.com/igor84/wcc
2•rguiscard•2h ago•0 comments
Open in hackernews

Harness Engineering

https://github.com/lopopolo/harness-engineering
43•handfuloflight•4h ago

Comments

lopopolo•3h ago
Hi folks, author here and also author of the seminal OpenAI blog on this topic. Let me know how I can help you all let it rip.
jpitz•2h ago
This is interesting. I'd already had a conversation with my harness ( pi ) about incorporating continuous improvement. This is a great deal better than what I came up with.
lopopolo•1h ago
Glad to hear it! Good luck, have fun. The agents tend to do a pretty good job incorporating these ideas. This was an unexpected thing we learned when publishing the initial harness engineering post.
mips_avatar•1h ago
One challenge/opportunity I've had is harnessing really wide running cheap agents. Any thoughts on how to move really cheap agents beyond basic summarization so we can go broader than the pricing of frontier llms allows?
lopopolo•1h ago
Your “really cheap” agents can’t be so cheap that they do not have good tool calling skills. But! Using bigger models to put guardrails in place as static verifiers allows lower complexity changes to “self steer” as tests fail, which means coming down on the cost curve is more effective.
mcapodici•40m ago
I was experimenting and found deepseek-v4-flash and found it cheap (way cheap compared to sota models) and perfectly good at tool calling. I did a post on it https://martincapodici.com/2026/07/18/weekly-ai-learnings-3/

So $1.5 for 40m tokens I guess would cost much more with sota (but would need less tokens perhaps).

hankbond•1h ago
How do you view harness engineering as an organic development that emerges from its use within a specific domain? Basically the meta-loop that allows an agent to tailor its harness to improve outcomes based on performance feedback. I use Pi a lot and I'm very interested in "self-assembling software".

One concrete example might be maintaining a conventions document per-project that covers how to name things semantically from a list of nouns and verbs. The idea is that LLMs are often not very globally aware, but it's important to maintain coherence across a code base in order for it to scale (in size and over time). Sometimes an LLM might call the same concept a Materialization, sometimes a Projection, and its not useful if its using two terms interchangeably without purpose.

Basically, how are you maintaining coherence when there isn't a human steering the code beyond providing requirements and validation directives?

I see you have relevant context in the repo like https://github.com/lopopolo/harness-engineering/tree/trunk/d... but I'm curious what exists beyond context. Do you use any tooling to steer this type of thing more consistently?

lopopolo•58m ago
Your example is super amenable to vibing some tests. As an example, I’ve been able to ban `number` from representing a duration by walking the AST in a linter to fail if var or param names that look like the end in millis or ms or sec appear. This is largely good enough. If you see that “drifting” behavior appear more than once, you have enough to stop and force the agent to write some static verifiers that reject all but the option you want. For a closer example, we did this with zod schemes and their corresponding inferred types to be universally ZPascalCase and PascalCase instead of camelCaseSchema and CamelCase
lopopolo•55m ago
And to address your broader question, yes this is a form of RSI and to me a vastly superior approach to fine tuning since it allows adopting new model releases without throwing anything away while still having the same effect on improving adherence to local acceptance criteria.
slopinthebag•47m ago
What motivated you to quote your own quote (??) in your readme claiming to boost productivity by 100x, and where did you derive that number from?

"When a quote sounds profound enough, reality usually nods out of politeness, without echoes is just a sentence wearing pajamas." - slopinthebag

kubb•32m ago
I would also love to know. Sounds dubious to say the least.
esafak•23m ago
He's reached the singularity. Just kept pointing the agent at its own output, and leveled up...
hahahaa•45m ago
Thanks. I am guessing you have to try stuff and build tacit experience. No other way, just get stuck in and try stuff, then try and learn bits from others?
lopopolo•42m ago
Basically yea. It is the only way to learn how to outrun your priors on what “high ambition” looks like. The labor that goes into implementation is an uncapped resource now.
lopopolo•29m ago
The models are very good now so the feedback cycle on these meta adjustments is much tighter. Yesterday I was able to one shot a Liquid Glass, HIG-compliant and localized DICOM image viewer (frame by frame and looping video) with Apple Intelligence for de-jargoning the series details. Took 30 minutes. But the app had 60% CPU because it was not caching the decoded JPEGs. I can do a point in time fix for that of course, but the more interesting thing is why that misaligned code was permitted to be generated in a “done” artifact in the first place. What other misaligned code from a perf perspective might there be? And how do I intervene into the system that produced this software to make these misalignments statically not meet acceptance criteria?
bagels•2h ago
The mother of all prompt injections.

Do others at OpenAI use this?

ricardobeat•29m ago
What percentage of this was written with AI?

> A command can feel ambient without making its credential model-visible.

I'd be weary of following guidelines on how to build human-computer interaction systems that weren't written with full human oversight.

lopopolo•28m ago
You can read the receipts in the linked source material yourself. I’ve also read and signed off on every word in this anthology. Try it before you knock it?

But yes, 100% of the content of this repository was written by GPT-5.6 Sol Ultra.

0xbadcafebee•2m ago
[delayed]