MurphyA/hacker-news huggingface dataset:
by Sunnyanand_dev | 2026-03-05 19:04:01+00:00
Hi everyone — I’m the founder of Nexus Gateway.

The main reason I built this is because I noticed many AI applications repeatedly send very similar prompts to LLM APIs. That means developers end up paying for the same reasoning multiple times.

Nexus Gateway tries to solve this using semantic caching. Instead of only checking for exact prompt matches, it detects semantically similar prompts and can serve cached responses when appropriate.

Current features include:
• Multi-model support (OpenAI, Gemini, Anthropic, Llama)
• BYOK (Bring Your Own Key)
• Semantic caching to reduce repeated API calls
• Model routing

I'm currently also working on:
• PII protection layers
• Sovereign AI support for regulated industries like banks and hospitals

My goal is to build an infrastructure layer that helps teams reduce LLM costs and improve latency without changing much of their existing code.

I’d love feedback from the community — especially around:
• semantic caching strategies
• similarity thresholds
• enterprise security requirements

Happy to answer any technical questions.
by angry_octet | 2026-03-05 19:04:07+00:00
A set of clothing used to cost a month's wages. Yearning for the pre-industrialised era is an unintended pean to aristocracy, whitewashed by fiction and movies to be clean and virtuous.

At the moment, a single line of production code costs hundreds of dollars. I'm not talking about the bedrock of technology, like compilers, mysql, the Linux kernel, which represent hundreds of billions of value. I'm talking about the shitty code that powers Salesforce and ERP integration, Drupal modules, intranet customisation, insurance company call centre agent policy workflows, the thrice cursed apps that ship with cheap Chinese android phones, the putrid code to analyse our shopping loyalty card purchases and turn it into business insights.

All that code is shit, and it costs a fortune. Meanwhile regular people have no code. Even I run my life on almost no code, I have to use SaaS (like Gmail and Docs). If I want something like a financial analysis to be understood by my family I don't code it in python, I use Excel. I use whatever automation comes in my car. But once simple code becomes a process of thinking about what you want rather than knowing esoterica like calling conventions, allocation lifetimes etc, then we have made custom software accessible to billions of people, people who are clever and industrious.

So stay in your cathedral and illuminate your manuscript if you like, there is a need for excellent code, and tooling like Lean that can define what correct means, but let the people eat.
by tonymet | 2026-03-05 19:04:12+00:00
Consent Prompt Fatigue and overload is a serious problem. To perform the most basic task across my iPhone + watch I need to suffer half a dozen consent & pin prompts. Often at the most sensitive and difficult times: it's raining, I have gloves, I'm juggling a power tool or something dangerous. My devices continue pin prompt me every 30 seconds like I'm holding the Nuclear football.

We used to respect that credential/consent prompt fatigue resulted in worse security, then the lawyers got their way, engineers / product managers conceded, and now users are punished with useless prompting every 10 seconds.

The only way forward will be for some a-hole product managers to push back on this nonsense.
by spiffyamber | 2026-03-05 19:04:26+00:00
I keep yolo installing AI artifacts, so I built artguard and just open-sourced it.The core problem: traditional scanners are built for code packages. AI artifacts are hybrid — part code, part natural language instructions — and the real attack surface lives in the instructions.

https://github.com/spiffy-oss/artguard

Three detection layers:

Privacy posture — catches the gap between what an artifact claims to do with your data and what it actually does (undisclosed writes to disk, covert telemetry, retention mismatches)

Semantic analysis — LLM-powered detection of prompt injection, goal hijacking, and behavioral manipulation buried in instruction content

Static patterns — YARA, credential harvesting, exfiltration endpoint signatures, the usual

Output is a Trust Profile JSON- a structured AI BOM meant to feed policy engines and audit trails, not just spit out a binary safe/unsafe.

The repo is a prompt.md that Claude Code uses to scaffold the entire project autonomously. The prompt is the source of truth. I'm happy to share the actual code too if it's of interest.

Contributions welcome!
by observationist | 2026-03-05 19:04:28+00:00
If you look at the difference in quality between gpt-2 and 3, it feels like a big step, but the difference between 5.2 and 5.4 is more massive, it's just that they're both similarly capable and competent. I don't think it's an S curve; we're not plateauing. Million token context windows and cached prompts are a huge space for hacking on model behaviors and customization, without finetuning. Research is proceeding at light speed, and we might see the first continual/online learning models in the near future. That could definitively push models past the point of human level generality, but at the very least will help us discover what the next missing piece is for AGI.
by bitexploder | 2026-03-05 19:05:40+00:00
People could not imagine how the PC was going to be a dominant computing paradigm until it was. I think I would argue in the direction that "this seems less likely". But I have been in this game almost 30 years. Anything goes. Also America looks "car first" empirically speaking from where I sit. The thing I am asking is if AI alters the collective human survival loop enough. Cars absolutely did. If people collectively can use AI to create a survival benefit they will. If enough people do this it starts looking more and more like an essential thing and not separable from the societies survival. So maybe it is the framing of "x-first" it is more like "x-dependent" perhaps? And what is a survival benefit? Just ask your brain why we go to work every week :)
by kemyd | 2026-03-05 19:05:48+00:00
Hey! Yes, we use leading AI providers for website generation. All license tiers include the same daily limits for AI requests. If you can't wait, you can purchase additional AI tokens.

We offer lifetime licenses, which we treat as a source of capital to continue developing Shuffle. Some people see that as a potential downside, but we see it differently. It allows us to maintain full control over Shuffle's direction.

The Shuffle Editor has been on the market for over six years, and the majority of our customers use subscription plans (monthly or annual).

AI Website Redesign is a supporting tool for Shuffle. You can use it to explore different design directions without ever opening the Shuffle Editor, but I don't expect that to be the main use case.

Most users start with Shuffle here: https://shuffle.dev/new
by creeble | 2026-03-05 19:06:02+00:00
> So the only thing distinguishing one top brand from another was the name printed on the dial

Respectfully disagree.

Since the 60's (and one could argue, even long before that), watches are 1) fashion, and 2) male wealth-signaling fashion. That's it. Nothing more. And for males who subscribe to this wealth-signaling cult, they know from a long way away what watch brand is on that guy's wrist.

Okay, today's brands signal maybe a little differently than just wealth. Casio G-Shock watches aren't substantially different than their non-G-Shock counterparts in any significant way, but they cost way more. The G-Shock brand signals... I dunno, sportsy-ness? Maybe it is closer to a pure fashion brand here.

I think we've been in "The Brand Age" since the advent of advertising. There are plenty of products that have virtually no differentiation besides brand, and there (almost) always has been.
by akiselev | 2026-03-05 19:06:08+00:00
> Curious to hear if people have use cases where they find 1M works much better!

Reverse engineering [1]. When decompiling a bunch of code and tracing functionality, it's really easy to fill up the context window with irrelevant noise and compaction generally causes it to lose the plot entirely and have to start almost from scratch.

(Side note, are there any OpenAI programs to get free tokens/Max to test this kind of stuff?)

[1] https://github.com/akiselev/ghidra-cli
Show HN: Direct to silicon DLinear AI accelerator on the Sky130 open-source node
by NotJustBinary | 2026-03-05 19:07:34+00:00
Hi HN, I have always been interested and inspired by the idea of speed in computing, which raises a logical question: why do we use general-purpose processors for tasks that require minimal latency and predictability? The question is interesting, so a couple of months ago I thought: can I make a DLinear-type time series model? DLinear is a simple but effective tool for time series analysis, to implement it directly into silicon using a PDK with an open Sky130.

Well, it wasn't as easy as it seemed... My first attempt at direct synthesis led to a nightmare. OpenLane (the RTL-to-GDSII flow I used) reported a setup slack of -7.88ns. Essentially, the signal was too slow to travel through the 64-tap window within a 100MHz clock cycle.
I spent weeks refactoring the architecture in Chisel. I moved to a fully unrolled, 4-stage deep pipeline. The hardest part was balancing the binary adder tree; I had to ensure that the 6 levels of addition didn't bottleneck the entire chip.
I also realized that I could cheat a bit: instead of using a resource-heavy divider for the moving average, I used a static bit-shift (>> 6). In hardware, that’s just re-wiring, which costs zero nanoseconds and zero gates.
The final result is an 86,443-cell design that is LVS/DRC clean.

Of course, it now runs at 100 MHz on a 130 nanometer process, but physics shows that in theory it is possible to achieve 1.2GHz on a 7 nanometer process, which will reduce the delay to about 3.3 nanoseconds (yes, I did not try ASAP7 in OpenLane, the project is too controversial and I was not sure if it would give realistic results)
I think we are now approaching the point where a software-defined interface is becoming too slow for line rate networking or high speed control loops. All GDSII layouts and surfer waveforms could be found in repo

If someone is interested, I'd love to get feedback from the community about the architecture, as there are still some problems with synchronization in the chip, which can cause power consumption to suddenly jump when the chip is running, which leads to the chip going into reboot mode or maybe someone knows a more elegant method for handling the summation of large windows in Chisel.
by fragmede | 2026-03-05 19:07:47+00:00
The question is, in this new software world order, how much do brands matter vs what they've done vs network effects. I could have Claude code shit out a Facebook or Twitter clone, or an Uber clone, and have none of the baggage of Cambridge Analytica, being owned by Elon Musk, or Travis kalanick of Greyball and S. Fowler legacy. An Uber driver-turned-dev could easily stand up a competitor and give way more money to the drivers simply by not having the overhead that Uber has with lawyers and executive salaries in this age of ChatGPT. Drivers will go to where there's riders and money, and riders will go to where there's drivers and cheaper rides. (and no drivers.) If someone needs an app idea to work on, it's the incumbents, without the suck. Facebook without "People just submitted it. I don't know why. They 'trust me'. Dumb fucks."

Because looking at Truth Social and Gab, people do adopt brands as part of their identity; and Uber but for drivers, or Facebook, without the spying, are trivial to make the software side of things on now. The fact that we haven't seen a dozen Uber competitors spring up is a testament to the fact that branding is a helluva moat. It's impossible to put a dollar value on it, but ChatGPT has no moat, except that it's Chat-fucking-GPT. The original chatbot and no matter how good Claude gets, it'll never be the original.
by simon_luv_pho | 2026-03-05 19:08:01+00:00
Please use your own LLM api instead!

The free testing LLM is Qwen hosted by Aliyun. Qwen and DeepSeek are the only ones I can afford to offer for free. It's just there to lower the try-out barrier; please DO NOT rely on it.

The library itself does NOT include any backend service. Your data only goes to the LLM api you configured.

I tested it on local Ollama models it works fine.
by whynotmaybe | 2026-03-05 19:08:29+00:00
>I live and work in a multi-lingual environment, and regularly switch between the German and English keyboard layout. Lately, the keyboard layout no longer sticks. It resets to English when I press shift. Sometimes it does work, sometimes it doesn't.

Yeah, windows is also the king for that.

Almost every update reactivates the shortcut to change locale, even though I've removed it.

And they even added a new shortcut to change locale : Win+space.

So as I'm always juggling between mac and windows, Win+space is sometimes pressed instead of ctrl+space and then all of a sudden my keyboard is switched to another language.

Don't worry, there's a fix ! Modify all the installed language, add your keyboard layout and remove all the others. So now you can also have a an English locale with a non English keyboard layout.
by wiseowise | 2026-03-05 19:09:27+00:00
But hey, we’ve got to own the libs!

I swear to God, the generation that voted the most for this stupid SoB will go down in history as the most stupid so far, like straight out of the Idiocracy.

Trillions of world wide economic damage, irreparable damage to transatlantic cooperation, death of post ww2 order. All because McFuckity Fuck saw online that brown man bad and there’s inexplicable feminist agenda, also somehow America needs to become great again because being top world economy is not good enough. Also soyjack memes.
by uniqueuid | 2026-03-05 19:09:32+00:00
It's interesting how the sentiment around Apple has turned, for the first time in what feels like 20 years.

The true reason is, as the recent norwegian report quipped: We love our tech, but it betrays us - that's an abusive relationship.

Consent prompts are a band-aid for users being exploited: They are not fixing the root but covering it with legal painkillers.

But the only true remedy is actually feeling in control of and empowered by your device - a vision that Apple once at least promised, but now has less and less legitimacy of heralding.
by OkayPhysicist | 2026-03-05 19:09:43+00:00
Anti littering messaging works remarkably well. Littering's the kind of antisocial activity where the benefit to the individual are marginal, maybe you save a bit of energy holding on to your trash until the next trashcan, but the penalties are almost non-existent, as practically no-one gets cited for littering.

A clear reminder not to litter mostly just signals to people that other people care, but that works remarkably well.

I belonged to a service org in college that required each member do like 30 hours of community service a semester. Mostly we did stuff like working at food pantries and the like, but if you didn't have time in your schedule, you could go down to the beach and wetlands and pickup trash. Perhaps not as high-impact as feeding the hungry, but it was something. Well, after a few of these trips I realized that a significant fraction of the trash we were picking up was styrofoam food containers, which was weird, since California had drastically cut back on styrofoam by that point (though the total ban only came into effect this year).

Turned out that there were exactly 2 restaurants anywhere near the wetlands that used sytrofoam food containers, so a buddy and I took it upon ourselves to go talk to them. Ideally I would talk them out of using styrofoam, but at the very least it would be good to let them know that they're single-handedly fucking up this nice slice of nature.

One of the places straight-up stopped using styrofoam altogether. Both were perfectly happy to let us hang up a sign basically saying "Hey, we collectively spend 200 hours a year trying to clean up these wetlands, please don't litter".

Food containers from those restaurants all but completely disappeared from the wetlands after that. People tend to do the right thing, but sometimes they just need a little push.
by cjtrowbridge | 2026-03-05 19:09:48+00:00
It's not possible to compare, because while the SLS just got back from the Moon and is about to go back; SpaceX has never had a single successful super-heavy launch. Now that Elon has officially given up on Mars and decided to spend the next decade trying to figure out how to get to the moon, we may see some progress. All he has to do is put down the drugs and catch up to the NASA of the 1960s.
by pavel_lishin | 2026-03-05 19:09:50+00:00
> Consent Prompt Fatigue and overload is a serious problem.

My favorite part is that sometimes, a security prompt will pop up and hijack focus - and if you happen to be typing something, hitting the space bar will click on something, and if you happen to notice that, you'll at least know that something is now broken and you gotta figure out where to fix it.

Happened to me last night as I was setting up a new macbook, and I managed to deny myself access to edit my own crontab.
by mlcruz | 2026-03-05 19:09:54+00:00
Hi Phil,

Your article is great! As someone who's working in this space, your points just improved our presentation and selling a lot. We have been talking with C level finance executives about building semantic layers, and i can confidently say that the way you presented the value proposition of the context layer is going to improve our conversion rates.

Thank you so much! This is one of the best analysis i have ever heard about the subject.
Show HN: ClickArmor – Countering ClickFix social engineering in browser
by ditm-security | 2026-03-05 19:11:12+00:00
Hi HN,

I built ClickArmor to detect ClickFix social engineering attacks directly in the page using
page-behavior signals and command-pattern analysis. Everything runs
locally in the browser — no telemetry, no API calls, no data collection.

Detection layers include:
- Clipboard write interception
- Lure phrase analysis (Win+R, Ctrl+V instructions)
- Fake CAPTCHA / fake browser update detection
- Embedded command payload detection
- Obfuscated loader detection
- Multi-stage C2 loader detection

I validated it against 5000+ clickfix domains with encouraging results so far.

The long-term project is DiTM (Detection in the Middle) — expanding browser-native
detection to cover AitM phishing, credential interception, and other
browser-based identity attacks.

Chrome: https://chromewebstore.google.com/detail/gbbiaedhdapkbfmjgpe...
Firefox: https://addons.mozilla.org/en-US/firefox/addon/clickarmor/
Website: www.ditmsecurity.com

Would love feedback — especially bypass attempts. If you can get a ClickFix page/
payload past it, I want to see it.
by andrewlak | 2026-03-05 19:11:19+00:00
Hey HN, I built Vet. It's an Open Source code review tool, designed to work well with coding agents.

Coding agents frequently fail in subtle ways. They claim tests passed without running them, swap in fake data when they are unable to access resources, and silently half-implement features rather than admitting they are stuck.

Vet runs in the loop with your agent, reviewing conversation history alongside code changes to verify that what the agent did matches what you asked for. It catches logic errors, unhandled edge cases, and deviations from your stated goals. It reviews full PRs too.

No accounts, new subscriptions, or telemetry. Just bring your existing API keys and try it out!

Happy to answer questions!
by jgrahamc | 2026-03-05 19:11:31+00:00
"Because at Patek he'd encounter the most extreme brand age phenomenon: artificial scarcity. You can't just buy a Nautilus. You have to spend years proving your loyalty first by buying your way through multiple tiers of other models, and then spend years on a waiting list."

Strange game, the only winning move is not to play.

I've heard other brands do this (Ferrari?) and, of course, there are lines outside "luxury" brands like Louis Vuitton. Why bother?

PS I'll stick to my Casios: https://blog.jgc.org/2025/06/the-discreet-charm-of-infrastru...
by kotevcode | 2026-03-05 19:11:33+00:00
Every major model drop is interesting from a routing perspective. The question isn't just "is it better?" but "better for which tasks, at what latency, at what cost?"

One thing we're seeing in decentralized inference networks (building one at antseed dot com) is that model releases like this shift the routing landscape fast — a new model can immediately undercut incumbents on cost/quality for specific task types before the market catches up on pricing.

Curious if anyone's already run evals vs GPT-5.3 on coding and reasoning benchmarks. That's usually where the meaningful deltas show up first.
by mattswulinski | 2026-03-05 19:11:34+00:00
The "treat your context window like RAM" framing resonates. We've been running into this exact tension building agentic workflows with Claude Code - the more tools you make available, the worse selection accuracy gets, even with very capable models.

Curious what others have found: does the code-generation approach to tool calling (agent writes Python instead of picking from JSON schemas) actually hold up at scale? It seems elegant for composition, but I'd worry about hallucinated function names or incorrect arguments being harder to catch than a malformed structured call. With JSON schemas you at least get validation for free.

Also interested in the "use intelligence once to create automation that runs forever without intelligence" pattern for cron jobs. Has anyone found a good middle ground between fully scripted automations and full LLM-every-loop? The cost blowup they describe ($5k/month from a 5-minute cron) seems like it would kill most production deployments before they prove value.
by hex4def6 | 2026-03-05 19:11:59+00:00
If you're benchmarking something, old & well-characterized / understood often beats new & un-characterized.

Sure, there may be shortcomings, but they're well understood. The closer you get to the cutting edge, the less characterization data you get to rely on. You need to be able to trust & understand your measurement tool for the results to be meaningful.
by coldpie | 2026-03-05 19:12:19+00:00
> Doesn’t matter if your supplier gets a tax rebate or a kickback from an upstream supplier after the fact.

It does matter if the tax that was gathered was illegal, as it is here. The illegally gathered funds should go back to the entity that paid the tax, not the middleman who ferried it from here to there. The unclear method for how to accomplish this is where the grift will be coming in.

> not even close to all companies that were charged tariffs are “trump toadies”

I did not claim this. I claimed most of the money that will be refunded will go to Trump toadies.
by dlubarov | 2026-03-05 19:12:29+00:00
If I didn't like to refer to the US by name because of my personal hatred for it, so I called it the Great Satan instead, would it be fair game to edit that back to "the US" in subtitles?

Arabic speakers have plenty of options for referring to Israeli forces other than "Yahud". There's the widely used Arabized transliteration of Israel, or "occupation forces", "enemy forces", etc. When someone says "Yahud", it's because they're referring to Jews, not because some limitation in their language forced them to say it.

But even if (hypothetically) language limitations plausibly forced a certain "unintended" choice of words, it's not the role of a translator to come up with a fundamentally different statement that they might have meant to say. If they were worried that a literal translation would led to confusion, they could have just omitted the quote.