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Residential proxies detected on White House network

https://layer3intel.com/blog/residential-proxies-white-house-network
651•Rasbora•5h ago•211 comments

Images 2.6

https://openai.com/index/introducing-images-2-6/
96•davidbarker•2h ago•82 comments

A thousand fewer paths to root

https://openai.com/index/a-thousand-fewer-paths-to-root/
103•dangelosaurus•2h ago•64 comments

Starfall – Affordable, routine access to microgravity

https://www.spacex.com/starfall
65•gmays•1h ago•26 comments

AI is forcing us to pay off 40 years of technical debt

https://spectrum.ieee.org/ai-in-cybersecurity-php2shell-vulnerability
1070•pseudolus•14h ago•638 comments

Ripple-65B Preview: U.S. Open-Weight SOTA on Agentic Coding

https://www.ricursive.com/ripple
224•Philpax•7h ago•79 comments

You'll need nerves of steel to work with AI agents

https://orchidfiles.com/youll-need-nerves-of-steel-to-work-with-ai-agents/
25•theorchid•2h ago•22 comments

Kimi K3.1 Pro model weights are out

https://huggingface.co/moonshotai/Kimi-K3.1-Pro
379•abrarthought•10h ago•102 comments

Insects don't swarm at LED lights

https://www.birdsoutsidemywindow.org/2026/11/03/insects-dont-swarm-at-led-lights/
165•speckx•6h ago•94 comments

A new Go API for JSON

https://go.dev/blog/jsonv2
230•olexsmir•8h ago•96 comments

Hacking the Xbox 360 Hypervisor Part 3: Bad Update Improvements

https://icode4.coffee/?p=1746
61•muricula•3h ago•2 comments

Qualcomm Cloud AI 100 Ultra – 150W AI Accelerator Card with 128GB at 548GB/s

https://www.qualcomm.com/data-center/products/cloud-ai-100-ultra
100•peter_d_sherman•6h ago•43 comments

Conductor is joining Meta

https://www.conductor.build/announcement
106•kenrose•7h ago•143 comments

Launch HN: Kino AI (YC S23) – AI media manager and video editor

70•lukeigel•8h ago•26 comments

Progress on provable inference for large language models

https://www.anthropic.com/research/provable-inference
174•ltononro•8h ago•84 comments

PageScribe: Handwriting and offline dictionary audio for KOReader

https://aspireai.kiranadimatyam.com/builds/pagescribe/
8•seshakiran•2d ago•0 comments

Show HN: After a decade of reversing, I got co-op working in DOS Wing Commander

https://fireflyk64.github.io/wcmulti/
105•daniel_rh•7h ago•15 comments

Guerrilla bike lanes: San Francisco makes illicit infrastructure permanent (2016)

https://99percentinvisible.org/article/guerrilla-bike-lanes-san-francisco-makes-illicit-infrastru...
259•zenincognito•10h ago•190 comments

Basically no one is using AI agents for their DoorDash orders

https://arstechnica.com/ai/2026/10/doordash-says-outside-ai-agents-have-only-led-to-hundreds-of-o...
71•PaulHoule•2d ago•122 comments

OpenAI to acquire Pierre Computer Company

https://openai.com/index/openai-to-acquire-pierre/
185•itunpredictable•10h ago•61 comments

Death Comes for XSLT

https://dbushell.com/2026/11/03/xslt-rip/
47•colejohnson66•5h ago•28 comments

Ask HN: What's your current AI agentic setup?

122•eggbrain•11h ago•145 comments

Show HN: Gauge – Open-Source CLI to recursively improve your docs

https://github.com/gauge-sh/gauge-cli
16•0x63_Problems•5h ago•3 comments

Tencent Hy4

https://hy.tencent.ai/research/hy4
187•Philpax•11h ago•61 comments

Show HN: The DNA of DOOM – How code structure survives across 44 ports

https://squid-protocol.github.io/gitgalaxy/museum-of-code/doom-dna/
25•joe-esquibel•2d ago•14 comments

A wave of plastic-free coffee pods and machines

https://www.cnn.com/2026/11/02/food/coffee-machine-plastic-free
44•thunderbong•10h ago•69 comments

Is Curiosity Good for Us?

https://www.lrb.co.uk/the-paper/v48/n20/adam-phillips/is-curiosity-good-for-us
17•NaOH•1d ago•8 comments

AMD expects to outsell Intel in Q4 for the first time in history

https://www.tomshardware.com/pc-components/cpus/amd-expects-to-outsell-intel-in-q4-for-the-first-...
475•rbanffy•10h ago•174 comments

Have I befriended a murderer?

https://longreads.com/2026/11/03/murder-friendship-doubt/
112•gmays•7h ago•60 comments

'It's just vape, nail, charity shops': Can anything save UK high street?

https://www.theguardian.com/business/2026/nov/04/what-can-save-the-british-high-street-rotherham
64•theanonymousone•9h ago•147 comments
Open in hackernews

You'll need nerves of steel to work with AI agents

https://orchidfiles.com/youll-need-nerves-of-steel-to-work-with-ai-agents/
25•theorchid•2h ago

Comments

dognotdog•1h ago
Sounds exactly like the fever dream I see everybody live, lol
socketcluster•49m ago
It just gets worse as your codebase grows with more code and more files especially. It's like a human developer who is under intense time pressure. If the codebase is large, it might miss an existing function and implement a second one... or it might miss the fact that a database table already exists to solve its current problem and create another one. The solution is to keep the codebase as simple and small as possible and name everything as intuitively as possible with proper separation of concerns. Same principles which were useful before AI are still useful with AI.
anself•37m ago
Most of these issues are vastly improved or mitigated by adding clear instructions in AGENTS.md.

I follow a specific process with agents, and it works reasonably well: 1) describe my intended feature or change and then say “please recapitulate my intention and write an implementation plan” 2) read the plan carefully and refine it, make any corrections 3) tell the agent to go, but I check in frequently as it’s going. I watch the stream of thought and make course corrections or pull it out of rabbit holes 4) carefully review the result. Checking that tests actually fail, removing unnecessary changes 5) add instructions in AGENTS.md if I’ve found a new behavior that needs redirection

greenowl•28m ago
Honest question: how much time are you saving versus ignoring that all of this exists and instead just jumping right in and coding yourself?
saulpw•22m ago
At first, maybe not much. But when you're properly set up, it's amazing to watch it cook.
loeg•8m ago
A lot.
jaggederest•5m ago
I've been doing software engineering for 20 years and approximately half of my total work output has been in the last 2 years. Once you get it set up and maintain it regularly it's easily three to ten times faster
egl2020•3m ago
I used cursor for a project built on a framework with a huge API that I hadn't studied exhaustively. I used a similar workflow with grok for the planning and composer for the implementation. You have to be vigilant, ask questions about the plan, inspect every line of output, and ask for do-overs. At the end I estimated that I would have needed 5-6 months without the coding agent instead of six weeks. I didn't develop as much knowledge of the API as I would have without the coding agent, but I doubt that my employer would have knowingly accepted a longer schedule in exchange for my education. It's not just junior engineers who are going to miss out with coding agents.
fn-mote
anonymous908213•23m ago
Luna is unusable garbage. When I see people in threads talking about how useful Luna is for all of their tasks and it's so cheap and fast, it reads to me like people relating anecdotes about how tasty the garbage scraps they're eating out of the dumpster behind McD's are. Sol Max is the threshold of "just barely usable", and even then it's certainly not what the people are hyping it up to be.

> But GPT also offers a $100 plan with five times the usage limits. And how long would that last me?

Sol usage is basically unlimited on the $100 plan if you're human-in-the-loop, reviewing the code, and not doing some useless Gas Town crime against humanity.

willio58•11m ago
I’ve been slowly converting my org to use opus 5.5 as default over sonnet and the difference is night and day. More usage, because it does shit better the first time. Less cost, because it does shit better the first time. It’s literally been the thing that’s kicked our org in the pants to actually adopt agentic methodology at scale.
greenavocado•8m ago
In my private coding benchmark Luna Low effort is beaten by Qwen 3.8 Flash Next Coder IQ_1 served by Strata locally https://github.com/niko1221/strata

Luna medium effort is very slightly better than its output and completes tasks in 5-10x less time.

epolanski•7m ago
Luna is as great and extremely efficient at exactly what OpenAI advertises it to be good at: focused tasks, small edits, automations.

If it's used for that then using anything more powerful is just inefficient usage of your tokens.

jedbrooke•16m ago
> Inability to change the response style In recent months, I’ve been noticing a new pattern in sentence structure more and more often. Here are some examples: There’s a difference between "I read the text" and "I understood the meaning of the text". We too often mistake "I’m used to this" for "I like this". The path from "I’m afraid of making a mistake" to "I’m ready to try" can take years.

It’s worth taking the time to setup a style guide for your agent to remove llm-isms like this. Somewhat paradoxically, you can even have the agent help write it. Just include a couple of snippets of “bad” phrasing from previous chats, add some commentary about why it’s bad, and what to replace it with, and put that in your system prompt. I could provide examples but the whole point is that you can tailor it to exactly how you want it. This has the added bonus of being a quick sanity check for model quality. If you start noticing llm-ism appear, then likely the model is not following your instruction’s and the thread should be discarded/you need to switch to a better model

pessimizer•6m ago
> No matter how much I try to change the rules and skills for the agents, they keep using this technique.

> Okay, let’s move the rule to the top. In the next reply, right in the same chat, I get text with quotation marks again.

sam0x17•15m ago
How people are getting anything done at all with less than 5-6 claude max and 4-5 codex pro max plans and codex-lb and better ccflare juggling weekly limits at all times, I will never know.
aleqs•5m ago
What is that, like $35 worth of DeepSeek usage per month?
loeg•13m ago
Idk how you are running out of budget so fast. My usage is basically unrestricted tokenmaxxing ("/goal", flagship models at xhigh reasoning, etc) and my monthly burn is single digit thousands of dollars (maybe ~$350/day). Granted, my employer foots the bill so I don't care at all. But the return-per-spend is easily worthwhile and I'm not worried about the cost at these ratios.

Nerves of steel? Not even close.

I think 90% of the article is the author complaining about (predictably) bad small-model behavior. The large models are much better!

•
23m ago
Unlike the OP, this makes using an agent actually sound useful.

My summary of the article: I use a really cheap LLM, and suffer like everyone else using GPT 3.1. This is definitely a throwback to the days not so long ago when LLMs were completely incompetent.

anonymous908213•5m ago
I have found in my own benchmarks that a simple prompt which has a single constraint is reliably ignored by Luna, even on Max, even with another Luna agent reviewing with instructions to check the output against the constraint, at which point they OK it anyways. There is not a single task of any scale I can trust it not to fuck up.
josh-wrale•7m ago
[delayed]
lnkdinsuxs•5m ago
> Luna is unusable garbage

What are some uses for which you found Luna to be unusable garbage?

From my side, I use Harbor to score tasks and Luna certainly performs when the prompt is either well or overspecified.

thierrydamiba•2m ago
For me I’d trust Luna to do anything I would a high school student but once we get to college I lose faith.