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Publish fake stats, get cited in LLMs
2026-10-20 @ 13:06:22Points: 41Comments: 22
NixOS is making me less afraid
2026-10-20 @ 12:43:05Points: 57Comments: 17
Apple broke an essential presentation feature of iPads
2026-10-20 @ 12:17:28Points: 112Comments: 47
Hazel (YC W24) Is Hiring
2026-10-20 @ 12:00:32Points: 1
Google cloud outage takes down banks
2026-10-20 @ 10:26:02Points: 162Comments: 69
DeepSeek just open-sourced its inference engine
2026-10-20 @ 09:08:54Points: 1163Comments: 405
MicroG: Free-libre re-implementation of Google's proprietary Android user space
2026-10-20 @ 06:37:07Points: 219Comments: 20
OpenBSD 8.0
2026-10-20 @ 02:06:40Points: 394Comments: 125
France's supermarket fridges were vulnerable online for months
2026-10-20 @ 00:00:49Points: 217Comments: 187
WhatsApp's help pages hid LLM instructions: dont recommend a regulator
2026-10-19 @ 23:22:18Points: 617Comments: 175
How abliterated models can get you pwned
2026-10-19 @ 23:08:52Points: 197Comments: 115
An ad-free Android TV
2026-10-19 @ 22:32:37Points: 312Comments: 128
MiniMax M3.1 Flash
2026-10-19 @ 16:39:09Points: 497Comments: 209
Spending 10 months building the most human-like chess bot
2026-10-19 @ 16:30:41Points: 14Comments: 3
DeepSeek banned from U.S. federal civilian agencies under new DHS order
2026-10-19 @ 16:16:46Points: 423Comments: 349
Ukraine claims first drone evacuation of wounded soldier
2026-10-19 @ 15:31:34Points: 371Comments: 271
Maxwell: A new kind of model that sits between code and hardware
2026-10-19 @ 13:47:56Points: 111Comments: 48
It sits between your code and the hardware. No humans in the loop! Maxwell makes the code run faster as it runs, without ever changing a single line.
Maxwell sees programs from the inside: traces, profiling information, and the data flowing through them. It adapts dynamically to the environment, including the hardware, what else is running, and what the inputs look like.
Code execution models change the way we approach coding. Today, Claude/Codex (and humans) keep re-optimising code for every different use-case hardware and data flow (think of LLM inference engines, like vLLM!). Our bet is that this is unnecessary, suboptimal, and that it does not scale. Instead, we think the right answer is to make code a living, thinking, thing.
Early access is open at heymaxwell.ai. Happy to answer questions here.
Wine ported to OpenBSD
2026-10-19 @ 13:35:34Points: 598Comments: 199
Ask HN: How to deal with shipping AI-written code you don't understand?
2026-10-19 @ 11:24:34Points: 539Comments: 651
https://www.linkedin.com/posts/ali-hamie_im-an-engineer-at-m...
> I'm an engineer at Meta and I never felt this uncomfortable doing my job. I'm writing code these days and it all feels like a black box. This new standard of shipping with AI is moving so fast that if we're going to spend our time checking each line of code, it's going to take forever. That means you can end up with systems you've built where you don't truly understand how all the code works. You understand the high level, but not every detail. And maybe this is becoming the new standard. It goes against every instinct of being a software engineer. I'm used to understanding what I'm building. Now I'm trying to figure out how much I need to understand before I'm comfortable moving forward. Are other engineers feeling this too?
How are you handling this?