MurphyA/hacker-news huggingface dataset:
by manmal | 2026-03-03 17:18:02+00:00
We've already established in this thread that memory bandwidth isn't that much greater than M4 Max - 12%? However, I wonder if batched inference will benefit greatly from the vastly improved compute. My guess is that parallel usage of the same model will be a couple times faster. So, single "threaded" use not that much better, but say you want to run a lot of batch jobs, it'd be way faster?
by emp17344 | 2026-03-03 17:18:41+00:00
Hold your horses, that’s a long way off. The best math AI tool we currently have, Aletheia, was only able to solve 13 out of 700 attempted open Erdos problems, only 4 of which were solved autonomously: https://arxiv.org/html/2601.22401v3

Clearly, these models still struggle with novel problems.
by ramses0 | 2026-03-03 17:18:59+00:00
But imagine a beowulf cluster of them... /s

...but seriously... there was the "up until 1850" LLM or whatever... can we make an "up until 1920 => 1990 [pre-internet] => present day" and then keep prodding the "older ones" until they "invent their way" to the newer years?

We knew more in 1920 than we did in 1850, but can a "thinking machine" of 1850-knowledge invent 1860's knowledge via infinite monkeys theorem/practice?

The same way that in 2025/2026, Knuth has just invented his way to 2027-knowledge with this paper/observation/finding? If I only had a beowulf cluster of these things... ;-)
by butILoveLife | 2026-03-03 17:19:18+00:00
Your first 2 points make me extra bitter about COVID.

Less store hours. Higher prices. Inflation. People in school got a terrible education and it affected my workforce. (But hey 1% of people died, as predicted if we did nothing at all... )

It only reinforces the importance of competition over protectionism.

I used to be a walmart fan, but my local store is cheaper now. I didn't bother to look at prices until things were getting silly.
by hmaxdml | 2026-03-03 17:19:26+00:00
Automatic crash detection for your process is built-in our Conductor offering. The library has a default recovery mode when used standalone.

What do you find strange with workflow versioning? Would love to consider improving the semantics. In fact, we started doing it: https://github.com/dbos-inc/dbos-transact-py/pull/598
Show HN: The Nova: Evolution for Evolution's Sake
by Novaga | 2026-03-03 17:19:26+00:00
In Math We Trust: The Nova Experiment
In math, we falsify,
0.0001eth Litmus test for civilization
Send 0.0001 ETH to the contract: 0xB0F4afDCeEc7757eec83183ab1F8cb42238DD48C and get the answer immediately.
by longbucks | 2026-03-03 17:19:30+00:00
Does the chip actually improves? I’m still on a specced out M1 Max (64GB RAM / 2TB SSD) and it still feels like a beast for my daily work. It’s wild that we’re at the M5 now, but it’s hard to justify an upgrade when this machine still handles everything I throw at it so well. Seeing 512GB finally become the baseline is great, but I think I’ll be holding onto this M1 for a while longer.
by happytoexplain | 2026-03-03 17:19:45+00:00
You're observing the gradient between idealism and realism. It can look like hypocrisy, but people simply have multiple opinions. It says a lot that we are surprised when a person doesn't fall almost 100% on one side of the party line, because that crazy state is what we're used to.

It's just plain human to support outcomes that benefit one's self, family, friends, or community (especially if they are suffering, or losing what they were once afforded by their country or ancestors); even if you might have voted the other way if you were observing from outside, where you have the luxury to make more neutral decisions based on the big picture and long timeline.

As long as the delta isn't too gross, of course - there's where the subjectivity really comes in (How much benefit? How much harm? What does it mean to "deserve" something? Where is the line between simply deciding how your own country operates and harming others unnecessarily?)
by pphysch | 2026-03-03 17:20:07+00:00
There are no (big) AI games yet, but I would bet money that the next big wave of adventure games (GTA6, TES6, HLX) is planning to make a splash with this tech. But things are changing so fast so it's probably a very challenging planning task.

No one wants to move first with such a polarizing, unproven and rapidly changing tech.
by afspear | 2026-03-03 17:20:22+00:00
What would be super cool is if this dumb zone could be quantified and surfaced to the user. I've noticed that copilot now has a little circle graph that indicates context use percentage and it changes color based on percentage. I'll bet these are very naive metrics on used tokens vs context availability. I wonder if there could be meta data streamed or sent along with the tokens that could show that you've entered the dumb zone.
by Panzerschrek | 2026-03-03 17:20:36+00:00
I doubt it's possible to perform proper syntax recovery without messing the result. My approach with usage of some previous valid program state is more reliable and easier to implement.

> AFAIK Zig was designed in such way that, in most cases, you can parse each line independently

It can't be true. Basic stuff like opening/closing braces introduces some global syntax state, so that line-by-line parsing isn't possible. Do you mean something like tokenization instead? It is in many cases possible. But for true LSP it's almost useless.
by jccooper | 2026-03-03 17:21:33+00:00
I don't see that Google cares much about backlinks any more. Seems like it's all about "content" keywords and maybe a little time-on-site. The domain is a huge signal, which is probably where the problem comes from here.

Sadly, Google's generally better against all the new AI-generated content farms than other players, so maybe they're still running PageRank somewhere.
by amrocha | 2026-03-03 17:21:38+00:00
It’s well understood that humans do not instinctively grasp statistics, are bad at knowing when they’re being lied to, and are hard wired to take shortcuts.

AI companies gave everyone a button that does their job for them 99.9% of the time. And then 0.1% of the time it gets them fired. That’s irresponsible, no matter how many disclaimers you add to the bottom of the screen.
by wmf | 2026-03-03 17:21:47+00:00
the new dual die thing they’re promoting for how they make the M5 Pro and M5 Max chips?

It's chiplets just like GB10, Strix Halo, etc. One die has the CPU and the other die has the GPU.

How is that different from the silicon [bridge] they were using before?

It's probably similar.

the two dies don’t have to fabbed next to each other

They never were; this is a widespread misunderstanding.

But would this affect the interconnect speed somehow?

Apple never documented the internal interconnect for the M4 Pro/Max and now they don't document it for the M5 Pro/Max so we don't know. It's probably better to read reviews and avoid theorycrafting and backseat driving.
by jug | 2026-03-03 17:21:51+00:00
These are kinda popular today in the form of AI Dungeon, NovelAI, FictionLab etc.

Basically you create characters with bios, traits. Then a setting/context. Now, as you write your story, you can have multiple characters involved and they'll act from their perspective and traits.

Then these also have lorebooks with triggers, so if you mention The Barking Dog Inn, the AI and the characters will know what you mean and your characters with an outgoing personality type will be more eager to go there than others etc.

Finally, these systems usually have a long term memory where key events are saved and the AI remembers.

So a lot of this already exists!
by MerrimanInd | 2026-03-03 17:22:22+00:00
I had the exact same thought while reading the above comment, as helpful and generous as it is. Google's entire business model is to help people find things on the internet. They're an insanely well resourced company with all kinds of smart programmers. They have a moral and financial incentive to direct people to canonical sources of information. And STILL it's on this open-source dev to do all the steps outlined just to get the situation corrected?
by ericmcer | 2026-03-03 17:22:47+00:00
Generating text & audio is relatively cheap. If users paid a $5/month subscription you could generate a couple hours of dynamic npc audio per month and still make a tidy profit.

I have to imagine someone is looking into that, sandbox style games with hundreds of characters who have unique personalities and respond to any input and remember all your interactions... that would be amazing.
Show HN: Agent Action Protocol (AAP) – MCP got us started, but is insufficient
by hank2000 | 2026-03-03 17:22:56+00:00
Background: I've been working on agentic guardrails because agents act in expensive/terrible ways and something needs to be able to say "Maybe don't do that" to the agents, but guardrails are almost impossible to enforce with the current way things are built.

Context: We keep running into so many problems/limitations today with MCP. It was created so that agents have context on how to act in the world, it wasn't designed to become THE standard rails for agentic behavior. We keep tacking things on to it trying to improve it, but it needs to die a SOAP death so REST can rise in it's place. We need a standard protocol for whenever an agent is taking action. Anywhere.

I'm almost certainly the wrong person to design this, but I'm seeing more and more people tack things on to MCP rather than fix the underlying issues. The fastest way to get a good answer is to submit a bad one on the internet. So here I am. I think we need a new protocol. Whether it's AAP or something else, I submit my best effort.

Please rip it apart, lets make something better.
by 1attice | 2026-03-03 17:23:12+00:00
Funny thing is that what counts as "politics" gets moved around a lot.

Evolution was political once and, if things go as they are going, it will be again. Approximately as retro as debating whether diversity is a good thing in tech.

You can call it "science ideology" if that makes you feel better about it.

This weather won't last forever and when it breaks, it's back to the outgroups with you.
by lamontcg | 2026-03-03 17:23:14+00:00
LLM usage is not very likely to "dry up".

What is more likely to happen though is that it doesn't take multiple $10B of datacenter and capital to build out models--and the performance against LLM benchmarks starts to max out to the point where throwing more capital at it doesn't make enough of a difference to matter.

Once the costs shrink below $1B then Apple could start building their own models with the $139B in cash and marketable securities that they have--while everyone else has burned through $100B trying to be first.

Of course the problem with this strategy right now is that Siri really, really sucks. They do need to come up with some product improvements now so that they don't get completely lapped.
by vjerancrnjak | 2026-03-03 17:23:15+00:00
No. There is good signal in IMO gold medal performance.

These models actually learn distributed representations of nontrivial search algorithms.

A whole field of theorem provingaftwr decades of refinements couldn’t even win a medal yet 8B param models are doing it very well.

Attention mechanism, a bruteforce quadratic approach, combined with gradient descent is actually discovering very efficient distributed representations of algorithms. I don’t think they can even be extracted and made into an imperative program.
by MattTheRealOne | 2026-03-03 17:23:23+00:00
The iOS app is very simple right now. That is good from a ease of use perspective, but it does not say what model is used and there is no way to choose a different model. In some quick testing, the responses are fast but extremely inaccurate. Most of the responses were completely unrelated to the prompt. The best responses were only partially correct, but were at least dealing with the right information.

I am very happy to see more development focused on local AI that does not require subscriptions or sharing personal data and are able to work completely offline. Unfortunately, this app is not useful currently. I am assuming they chose to use a very small model to support the most devices and provide fast responses, but the output is extremely inaccurate. I will not be using this app until they support a better model like Llama 3.2. PocketPal is still the best local llm app I have found on iOS and Alpaca is great on Linux.
by manarth | 2026-03-03 17:23:45+00:00
There's a helpful introduction paragraph:

Peers agreed by a majority of one to ban videos and images
depicting relationships that would not be allowed in real life.

They also agreed to bring intimate pictures and videos of adults
pretending to be children in line with similar images of real children.

The title might be better summarised as:

Porn depicting a specific set of unlawful sexual activity is set to be banned.
by tweetle_beetle | 2026-03-03 17:24:00+00:00
Is it that much different? In the past if you downloaded the wrong file, you could get ads opening constantly, a new toolbar taking over your browser, data scraped and sent off to a mystery server, or have some process maximise your compute.

This accounted for most of the risks on the wild west internet, but the worst case scenario of permanently losing data or having to reinstall Windows was actually rarer than it was made out to be imho.

These days the common risks are the same, except they're no longer risks - all of those have been built into the fabric of everyday internet usage and criminals have been replaced by businesses. It's like the cliche about Vegas being better when it was run by the mob.
Show HN: AI tool that brutally roasts your AI agent ideas
by Sattyamjjain | 2026-03-03 17:24:05+00:00
I built whycantwehaveanagentforthis.com — submit any problem and get a structured analysis of whether an AI agent could solve it.
The output includes a creative agent name, feasibility verdict, real competitor analysis (actual products with URLs), a kill prediction (which big tech company makes this obsolete, when), build estimate, and a savage one-liner.
Built with Next.js + Claude API (Haiku). Runs on ~$5/day. Rate limited with Upstash Redis (7 layers). The prompt engineering to get accurate, non-hallucinated competitor analysis was the hardest part.
Free, no signup. Feedback welcome — especially on AI response quality.
by slg | 2026-03-03 17:24:51+00:00
Having a byline on a piece is not an indication he edited the piece, in fact, it's an indication he didn't edit it. That byline is simply an indication that he was one of two people responsible for writing the piece. He obviously didn't write every line or else there wouldn't be a second byline.

There is also a huge difference between trusting a coworker and falling for a lie of a source. Journalists deal with sources with a certain level of skepticism that just isn't productive or conducive to being a good coworker. Have you ever dealt with a coworker who didn't trust people to do their jobs? It's incredibly offputting.

I'll also point out that I said blame the "editorial process", that isn't the same as blaming an individual editor. This type of basic fact checking is either funded by the business or it isn't. This is very unlikely to be a failure of an individual rather than an absence of fact-checking at all and the decision for that is very unlikely to be made by the "senior gaming editor" (and it should be noted this wasn't even a gaming story).

There seems to be a disconnect between the way journalism generally works and your expectations for how it works. I believe Orland got duped by behaving the way most journalists would in a system that is less able to catch issues like this due to general industry cutbacks.
by lynx97 | 2026-03-03 17:25:26+00:00
Sure, every interaction in society is a tradeoff... However, I must destroy your dreams. Being disabled almost always means surrendering control over your own life to others. Or, better phrased, constantly fighting to keep control from being taken away from you by external, mostly well meaning, forces. But I get it, really. No need to ELI5. I hope the "you" in your explanation was rethorical... because if it wasn't, I definitely feel talked down to. I read the article we are commenting. I am well aware about the problem of hallucination, especially when image LLMs get used to describe the world. I have even done my own empirical tests to get a feel of the extent of the problem. All my comment was trying to say is, that when it comes to assistive technologies which actually provide value, idiology and privacy concerns pretty much go out the window very very fast, much faster then the average HN reader might assume. That is why Meta glasses are very popular amongst the visually impaired. Or do you seriously suggest they (we) are all so naiv as to not know what kind of deal we just struck with the devil?

Full disclosure: I don't own Meta glasses (yet), but I know some users and observe rollout amongst assistive technology resellers.
by furyofantares | 2026-03-03 17:25:54+00:00
The aesethetic tells are excessive headings for small sections, many of which are largely just a list. There's the numbered list but then the sections that are a sequence of "Bold Text: Single sentence." Plenty of em-dash too, but I don't really look at that much.

It's basically a long list of factual statements all with the same weight, very little opinion expressed about the experience. I don't actually mind an infodump from a human, you usually can still work out some of what they care about, and you also can be reasonably sure they didn't fill in the gaps. Most likely I would have enjoyed whatever the author fed into the LLM.
by autoexec | 2026-03-03 17:26:16+00:00
It happens all the time, and its as easy as sending a phone a text, or a packet, or escaping a sandbox, but you'll rarely be aware of it when you're infected because unlike the old days where malware would fill your screen with ads or something today they just silently collect your data or use your internet connection for careful port scans or DDoS attacks. NSO Group spyware (or similar) could be on your phone right now.

Hell, cellphones these days ship with spyware pre-installed. Samsung being the one of the worst for filling their phones with their own apps which spy on you constantly.
by zeven7 | 2026-03-03 17:26:35+00:00
Not exactly the "Armageddon" part. It's a little more complicated than that.

Hegseth's preacher is part of a partial preterist and postmillennialist group. They believe apocalyptic prophecies like the Great Tribulation and Armageddon were largely fulfilled in 70 CE when the Romans destroyed the temple in Jerusalem.
by thbb123 | 2026-03-03 17:26:43+00:00
I'm more and more convinced top execs are most likely to be advantageously replaced by LLM.

They navigate such complex decision spaces, full of compromises, tensions, political knots, that ultimately their important decisions are just made on gut feelings.

Replace the CEO with an LLM whose system prompt is carefully crafted and vetted by the board of directors, with some adequate digital twin of the company to project it's move, I'm sure it should maximize the interest of the shareholders much better.

Next up: apply the same recipe to government executive power. Couldn't be much worse than orange man.
Show HN: AgentCost – Track, control, and optimize your AI spending (MIT)
by agentcostin | 2026-03-03 17:26:50+00:00
Hi HN,
We built AgentCost to solve a problem we kept running into: nobody knows what their AI agents actually cost.
One line wraps your OpenAI/Anthropic client:
from agentcost.sdk import trace
client = trace(OpenAI(), project="my-app")
From there you get a dashboard with cost forecasting, model optimization recommendations, and pre-call cost estimation across 42 models.
What's included (MIT):

Python + TypeScript SDKs
Real-time dashboard with 6 views
Cost forecasting (linear, EMA, ensemble)
Optimizer: "switch these calls from GPT-4 to GPT-4-mini, save $X/day"
Prompt cost estimator for 42 models
LangChain/CrewAI/AutoGen/LlamaIndex integrations
Plugin system
OTel + Prometheus exporters
CLI with model benchmarking

Enterprise features (BSL 1.1): SSO, budgets, policies, approvals, notifications, anomaly detection, AI gateway proxy.
Tech stack: Python/FastAPI, SQLite (community) or PostgreSQL (enterprise), React dashboard, TypeScript SDK.
GitHub: https://github.com/agentcostin/agentcost
Docs: https://docs.agentcost.in
pip install agentcostin
Would love feedback from anyone managing AI costs at scale.
by sofixa | 2026-03-03 17:26:59+00:00
> But hey 1% of people died, as predicted if we did nothing at all

Nope. Compare the death rates of Sweden vs its neighbours in the Nordics (the closest comparisons we have with similar weather/culture/etc.). Or if you don't care about minimising variables, in the US between states that did lockdowns and mask mandates and those that didn't. In every comparable (e.g. excluding rural vs urban) case, there were more deaths in "doing nothing" than implementing the same basic public health axioms that have held true for centuries.

> Inflation

That was also helped by Russia invading Ukraine, which increased global prices of multiple important raw materials. But yes, inflation after a period of deflation/economic contraction/restricted travel and consumption was to be expected.

> People in school got a terrible education and it affected my workforce

It's definitely a bigger issue for them than it is for you. And yeah, it sucks for them. Would have been pretty terrible to tell teachers (who overwhelmingly skew older) they should risk their lives just to keep kids occupied too.

> It only reinforces the importance of competition over protectionism.

What has that got to do with COVID?
by adampunk | 2026-03-03 17:27:09+00:00
I think the implication here is that if we can’t find evidence of or motivation for companies paying to inflate their star counts, then we should cool it on the accusation that magically fraud has appeared in this case.

We also should remember that if this project had zero stars, we would hear crowing from these same people about how true and important that metric was. The idea that “open claw” paid for these stars somehow is mostly just reasoning backwards from the idea that no one would find this project interesting.
by jow13_12 | 2026-03-03 17:27:17+00:00
Location: Toronto, Canada
Remote: Yes (or hybrid)

https://joecardoso.dev

Willing to relocate: Yes

Technologies:

> Languages, Frameworks, and Libraries: JavaScript, Express, Ruby, Sinatra, Python, Flask, SQL, jQuery, TypeScript, React

> Cloud: Digital Ocean Droplet, AWS (EC2, VPC, S3, CloudFormation, CDK), Heroku, Fly.io

> AI Engineering: LangChain, Claude, Hugging Face, Vector DBs, embedding, OpenAI API, RAG, chunking

> Other Technologies: Node.js, Git/Github, Docker, Linux/Bash, HTTP, Nginx, PostgreSQL, MongoDB

Resume:
https://drive.google.com/file/d/1RAO1NzfIRqbFRx_4-Qih6vzV8UJ...

Email: jow13_122@yahoo.com

Profile: I am a full-stack software engineer with several years of experience in Ruby and JavaScript, as well as additional proficiency in Python, TypeScript, and React. Most recently, I have been an open-source contributor to Mozilla Firefox, after participating in the creation of Vispyr, an open-source observability tool designed to make continuous profiling more accessible to developers.
by fiddlerwoaroof | 2026-03-03 17:27:39+00:00
> the effort and cost to download an ad-blocker that automatically removes the prompt to accept/deny entirely is practically zero

It's only zero if you don't need to interact with sites that break when you're running an adblocker. I run an ad-blocker nearly continuously, but there are all sorts of sites where I have to disable it in order to use the actual functionality of the site (and these are frequently sites I _have_ to interact with).