MurphyA/hacker-news huggingface dataset:
by jamiek88 | 2026-03-14 00:09:29+00:00
Good advice! I’ve literally never consciously looked at that recommendation page thus avoid shorts mostly too.

(I couldn’t be trusted with TikTok so I have to be careful with shorts etc).

With TikTok I avoided it for years then one week when sick I installed it and within a couple hours it had an algorithm for me that was crazy addictive.

I started messing with it and looked up and 4 hours had gone by and it felt like minutes.

Severe ADHD and short form video do not mix.
by pacificmint | 2026-03-14 00:10:24+00:00
> you can fire a THAAD at a Starlink satellite as well.

You can fire a THAAD at one Starlink satellite, but probably not at 8000 of them.

For comparison we’re currently producing THAAD interceptors at a rate of 96 a year (though Lockheed is aiming to increase it to 400).
by Dagger2 | 2026-03-14 00:10:27+00:00
Two 6to4 networks will communicate directly between each other without using a relay, so it will still work for that. Although you ought to be able to use native v6 these days.

If you can't deploy v6 (whether native or 6to4) on the remote side for whatever reason, NAT64 is useful for dealing with conflicting RFC1918. You map each instance of RFC1918 you need to access into different v6 /96s, and then they don't conflict from your perspective. (But like NAT44, it only works for outbound connections; inbound ones need a port forward.)
by TeMPOraL | 2026-03-14 00:11:01+00:00
It's not inherently insolvable, it's just nearly impossible to solve because the alternative solutions tend to have "overhaul the global economy and human nature" as their prerequisite.

Pretty much all of humanity's tough problems, the ones we can't seem to make much progress on despite centuries or more of trying, are at their core coordination problems. We only really make progress on those when we can sidestep explicit coordination in some way. Every other kind of problem is usually amenable to technology, and we've solved most of them already, largely in the last 200 years.
by jarrettcoggin | 2026-03-14 00:11:49+00:00
I’ve experienced it at other places as well, just not the frequency or indirectness as Tesla.

During the first 24 hours of the Model 3 pre-order launch, Elon tweeted that we would support another 3-4 currencies than we had built and tested for. The team literally found out because of his tweet and had not planned for those currencies. That wasn’t the first time that sort of deal happened where we found out about a feature because of one of his tweets.
by Lama9901 | 2026-03-14 00:12:11+00:00
Sure. The semantic layer is a second verification pass that runs independently of file integrity.
Here's why SHA-256 alone isn't enough. An adversary can:

Remove job_snapshot from the artifact (stripping the core evidence of what actually ran)
Recompute all SHA-256 hashes to match the modified files
Rebuild the manifest

A hash-only verifier sees everything consistent and returns PASS. The attack succeeds silently.
The semantic layer catches this. After the integrity check passes, it independently verifies:

job_snapshot is present (evidence of the actual computation, not just file hashes)
payload.kind matches the registered claim type (can't swap one claim for another)
canary_mode flag is consistent (dual-mode execution provenance intact)

If job_snapshot was stripped, the semantic check returns FAIL: job_snapshot missing — even if every SHA-256 is valid.
This specific attack is an adversarial test in the public repo: tests/steward/test_cert02_pack_includes_evidence_and_semantic_verify.py

The deeper point — which I didn't explain in the original post:
In physics and engineering domains, the semantic layer connects to something stronger than an internal threshold. Young's modulus for aluminium is ~70 GPa. That's not a value I chose — it's been measured independently in thousands of labs worldwide.
When MTR-1 runs, it verifies the computation against that physical constant (rel_err ≤ 1%). The chain extends to FEM verification (DT-FEM-01, rel_err ≤ 2%) and drift monitoring (DRIFT-01).
The difference: tamper-evident provenance answers "was the bundle modified?" — the physical anchor answers "does the number agree with physical reality?" These are different questions. Both matter, but the second is harder to fake because the ground truth is external to the system.
This doesn't apply to ML accuracy or data pipelines — there the value is purely tamper-evident provenance, not physical grounding. The protocol is honest about that distinction in reports/known_faults.yaml.
by janalsncm | 2026-03-14 00:12:37+00:00
Aside from the Maslow’s hierarchy of needs points others are making, I believe it has something to do with the history of AI research.

There is a big overlap between the “rationalist” and “effective altruist” crowds and some AI research ideas. At a minimum they come from the same philosophy: define an objective, and find methods to optimize that objective. For AI that’s minimizing loss functions with better and better models of the data. For EA, that’s allocating money in ways they think are expectation-maximizing.

Note this doesn’t apply to everyone. Some people just want to make money.
Show HN: Fatal Core Dump – a debugging murder mystery played with GDB
by axlan | 2026-03-14 00:12:44+00:00
Debugging a crash can sometimes feel like a noir detective story: following faint clues, chasing red herrings, and eventually hitting the moment where the whole case finally makes sense. I leaned into that idea and built Fatal Core Dump, a small game where the investigation is real crash debugging.

The game gives you a Linux binary, its core dump, a source file, and some logs. You solve the mystery by debugging it.

The premise: an engineer dies when an airlock on an asteroid mining station opens unexpectedly. Your job is to determine whether it was a simple software bug or something more deliberate.

The investigation uses real debugging tools and techniques. You can use whatever debugging setup you prefer.

There’s also a spoiler-heavy blog post describing how the game was conceived and implemented, and the full code is available if you’re curious about how it works or want to experiment with the idea.

Blog post: https://www.robopenguins.com/core-dump-game/
Source: https://github.com/axlan/fatal_core_dump

If you enjoy debugging puzzles or low-level Linux tooling, I’d love to hear what you think.
by nateburke | 2026-03-14 00:13:34+00:00
It feels like xAI is perpetually playing catch-up.

They haven't quite committed enough to a novel direction relative to anthropic or OAI, what's described in the OP seems symptomatic of a lack of differentiation.

If you spend all your time judging yourself relative to the incumbents, there will be no time left over to innovate.

The leash is too tight!
by pinkmuffinere | 2026-03-14 00:13:35+00:00
I don’t have much experience in this field, so I can’t give satisfying answers to your questions. However, you said two things that I find very interesting:

> Also, there actually is Neanderthal DNA in the modern X chromosome.

> why is there no Neanderthal contribution to the modern Y chromosome?

I think both of these claims contradict the parent! I’m not sure which is correct, I’ve never looked into this before, and was simply trusting that bediger4000‘s assertion about the X chromosome was true. But it seems the opposite is true?
by itsthecourier | 2026-03-14 00:13:44+00:00
"Haitian authorities must urgently take control of the security forces and the private companies working on their behalf before more children die,” said Juanita Goebertus, director of the Americas Program at Human Rights Watch."

wow, such an insight, how didn't they think about that before?

yeah, complaining about 1200 killings, without considering the rape/killings/displacement that would happen in their absence by Viv Ansamn
by macieman | 2026-03-14 00:13:49+00:00
Its a nice thought & the outcome as a product. Why would an organization pay for such product, as they can very well build a RAG these days tuning to their business needs. I see that Captain API does everything in one shot without rebuilding the RAG, but why would an organization to pay for this solution as this entire chain of activity can be automated and run at non business hours as a batch with the fraction of a cost. What's the delta efficiency that captain would bring it to the table , have you done any benchmarks, if its negligible, i see no reason for any organization to use the captain
by al_borland | 2026-03-14 00:14:30+00:00
I understand this for a user’s primary phone, and agree to a large extent.

However, the article touches on ideas like using an old phone as a server. It would be nice if on first boot a user could choose if the device will be a phone or a generic device. This way, when I decide to upgrade my phone, my old would could be reset and then setup with macOS to use for wherever I want. The alternatives are to sell it, recycle it, use it as an overpowered iPod touch, or throw it in a drawer for 10 years.
by pwdisswordfishy | 2026-03-14 00:14:59+00:00
Yes, and in the real world where Grice's Maxim of Relevance is in force, then when the secrets issuer that is the subject of the discussion isn't one of those partners, then an informative "reminder" that GitHub "has a secret scanning program" with a bunch of other partners is not actually informative. It's as superfluous and unhelpful as calling to let someone know you're not interested in the item they've posted for sale on Craiglist (<https://www.youtube.com/watch?v=xWG3jKzKcm8>).
by chirdeeps | 2026-03-14 00:14:59+00:00
This thread is an incredible resource for adversarial security testing, but I'd love to pull on the "Cascade failures" (#5) thread from the original post, because that's what actually takes down production systems most often.We spend so much time testing if the model will break, and almost no time testing if the workflow can recover when the model inevitably does break. If an agent is executing a 4-step sequence and fails on step 3, how do you test what happens next? Does it orphan the data from steps 1 and 2? Does it infinitely retry and duplicate records?The biggest gap in agent testing right now is that we test agents like they are stateless functions, when in reality they are long-running stateful processes. You can't just test the prompt; you have to test the system's idempotency. If you can't safely kill an agent mid-task and restart it without corrupting your database, the system isn't production-ready, regardless of how robust your prompt injection firewall is.
Please do share the framework, curious where we miss the point - the surface si ever expanding post Openclaw.
by andrewflnr | 2026-03-14 00:15:25+00:00
Yes, in particular emotional trust is key. Maybe a few people can just declare their own emotional reactions away and have that stick, but you can't ask that of other people. We're still just apes. So if you want brief, clear communication, you need people to actually believe in their guts that when you tell them something they did is broken, it's not a personal attack.
by soraki_soladead | 2026-03-14 00:15:42+00:00
Roughly, when you train a model to make its predictions align to its own predictions in some way, you create a scenario where the simplest "correct" solution is to output a single value under diverse inputs, aka representation collapse. This guarantees that your predicted representations agree, which is technically what you want it to do but it's degenerate.

EMA helps because it changes more slowly than the learning network which prevents rapid collapse by forcing the predictions to align to what a historical average would predict. This is a harder and more informative task because the model can't trivially output one value and have it match the EMA target so the model learns more useful representations.

EMA has a long history in deep learning (many GANs use it, TD-learning like DQN, many JEPA papers, etc.) so authors often omit defense of it due to over-familiarity or sometimes cargo culting. :)
by dwd | 2026-03-14 00:16:16+00:00
Would you like a jelly baby?

The Tom Baker doctor had the best companion in K9. I was disappointed as a kid at the time when it chose to stay with his other companion.

I largely stopped watching from the "Five Doctors" episode onwards. Didn't like the 6th and maybe watched only a few episodes of the 7th doctor before not watching much free-to-air TV at all after that.
by vessenes | 2026-03-14 00:16:54+00:00
This is super exciting. I've been poking at it today, and it definitely changes my workflow -- I feel like a full three or four hour parallel coding session with subagents is now generally fitting into a single master session.

The stats claim Opus at 1M is about like 5.4 at 256k -- these needle long context tests don't always go with quality reasoning ability sadly -- but this is still a significant improvement, and I haven't seen dramatic falloff in my tests, unlike q4 '25 models.

p.s. what's up with sonnet 4.5 getting comparatively better as context got longer?
by kashyapc | 2026-03-14 00:17:14+00:00
Well said. Some people are misparsing your core point here.

Skrebbel is largely referring to the OSS projects that need people to do consitent grunt work like shipping predictable releases, stable branch maintenance, backporting security fixes, etc. This is the kind of work maintains that the internet's infrastructure.

A bit like the Nebraska guy from the famous XKCD, dependecy: https://xkcd.com/2347/
by wise0wl | 2026-03-14 00:17:26+00:00
The OpenTelemetry spec is absolutely what folks have been waiting for for as long as I've been in computing (~20 years). A single standard that is implemented in nearly every popular language with very close feature parity. It's honestly wonderful to work with compared to the old vendor supplied frameworks.

I took it upon myself to write a library for my current employer (4yrs ago now?) that abstracted and standardized the way our Rust services instantiated and utilized the metrics and tracing fundamentals that OpenTelemetry provides. I recently added OTLP logging (technically using tracing events) to allow for forwarding baggage / context / metadata with the log lines. The `tracing` crate in rust also has a macro called `instrument` that allows you to mostly auto-instrument your functions for tracing, allowing the tracing context to be extracted and propagated into your function so the trace / span can be added to subsequent HTTP / gRPC requests.

We did all kinds of other stuff too, like adding a method for attaching the trace-id to our kafka messages so we can see how long the entire lifetime of the request takes (including sitting on the queue). It's been extremely insightful.

Signoz is newer to the game. I'm glad there are more competitors and vendors using OpenTelemetry natively. We originally talked to some of the big vendors and they were going to gladly accept OpenTelemetry, but they marked every metric as a "custom" metric and would charge out the wazoo for each of them, far in excess of whatever was instrumented natively with their APM plugin thingamabob.

The more the better. I love OpenTelemetry, and using it in Rust has been mostly great.
by text0404 | 2026-03-14 00:17:27+00:00
You are aware that Google collects massive amounts of data and provides it to government and law enforcement without warrants [1][2], as well as working with the US and foreign militaries for legally-questionable ends [3][4]?

[1] https://gizmodo.com/reddit-meta-and-google-voluntarily-gave-...

[2] https://techcrunch.com/2026/02/10/google-sent-personal-and-f...

[3] https://www.nytimes.com/2026/02/26/technology/google-deepmin...

[4] https://en.wikipedia.org/wiki/Project_Nimbus
by luzejian | 2026-03-14 00:17:28+00:00
Freight rate volatility is one of the most underappreciated risks in physical product businesses. During the 2021-2022 shipping crisis, ocean freight from China to the US West Coast hit $20k+ per container — a 10x jump that wiped margins for importers who hadn't hedged. Air freight as a backup is worth keeping in your model even if you never use it; knowing your break-even point at air rates tells you a lot about product viability.
by tdb7893 | 2026-03-14 00:17:36+00:00
So researchers are going to be irrational and also often value other things more highly than prosociality but that doesn't really refute my point that they value it more highly than the average population.

Also your example of a bad technology is something that allows people to still communicate in the event of nuclear war and that seems good! Not all technology related to war is bad (like basic communication or medical technologies) and also a huge amount of technology isn't for war. We've all worked in tech here, "The development of technology is simply due to the reality of nations being in a constant arms race against one another" just isn't true. I've at the very least developed new technologies meant to make rich assholes into slightly richer assholes. Technology is complex and motivations for it are equally so and won't fit into some trite saying.
by Dagger2 | 2026-03-14 00:17:46+00:00
Sure there is: use single-stack v6 with NAT64.

What you're describing there is just an approach to store NAT state inside every packet instead of on the router. I'm not sure that's even an improvement on v4, but in any case it wouldn't increase the size of the address space so it wouldn't help with the one thing driving the need for IPv6.
by kolinko | 2026-03-14 00:18:21+00:00
Spy satellites you can have way fewer, but for an internet connection you really need Starlink's scale. Otherwise you need full 360 deg view of a horizon (good luck with that on the battlefield), and a much higher power use.

Having said that, I double checked the numbers - it would take ~60 launches at the minimum to replicate Starlink 1.0. This is how many launches China does per year right now. So it is doable indeed for them, just absurdly expensive - $10-$30B, but they can afford that.

EU on the other hand - no way. We're doing 5 launches a year with Arianne, due to incompetent management over the last decade. Unless China or US allow us to use their infrastructure, we have no way of doing all this.
by luzejian | 2026-03-14 00:19:29+00:00
The interesting meta-pattern here is how often the tooling around a problem lags the problem itself by 5-10 years. The operational complexity exists, the pain is real, but because it's distributed across many small actors rather than concentrated in a few large ones, the market for structured solutions is slower to develop. That's usually a signal rather than a dead end — it means the first tool that actually fits the workflow, rather than a generic workflow tool, has real leverage.
by hallucinate | 2026-03-14 00:19:38+00:00
I love the idea behind Spaced Repetition, and especially incremental reading. Reading incrementally (https://supermemo.guru/wiki/Incremental_reading) is the best way to retain information and helps you read faster too! I didn't see any app out there that had a modern user interface with good UX (SuperMemo is notorious for it's hard to grok interface). So I made my own https://github.com/melpomenex/incrementum-tauri and demo here: https://readsync.org
by arjie | 2026-03-14 00:19:45+00:00
I’d say Wikipedia definitely has a strong “woke” bent to it. Either in the language or the choice of what facts to show. Here’s an example I deleted that had been there for quite a while https://en.wikipedia.org/w/index.php?title=Salvadoran_gang_c...

I really like Wikipedia, though, and I think over time we will get around to fixing it up.
by adamiscool8 | 2026-03-14 00:19:50+00:00
The title framing is weird when the report says maybe 5% of the 1250 were civilians, and the same rights group also reports more than 1500 civilians [0] killed over the same period in the horrific and rampant gang violence the government is using this technology to fight against.

[0] https://www.hrw.org/world-report/2026/country-chapters/haiti
by sspiff | 2026-03-14 00:19:56+00:00
I haven't bought an 8GB laptop since probably 2012 when I got a Sony Vaio that they upgrade to 12GB for free because of a delivery delay. I wouldn't buy an 8GB device in 2026, but this device isn't targeted at either of us.

For a lot of people who are looking at sub $800 laptops, the option to get an Apple will probably be enough to convince them. And apart from the limited memory, it really isn't a bad buy.

I also fully expect most budget devices to ship with 8GB of memory until the end of the DDR5 crisis anyway.
by bawolff | 2026-03-14 00:20:29+00:00
> Human Rights Watch (HRW) said Tuesday that drone strikes carried out in Haiti over the past year have killed at least 1,243 people, including 17 children, many of whom had no apparent links to the criminal groups the attacks seek to squash.

> Launched by Haitian law enforcement forces and private contractors working for Vectus Global between March 1, 2025, and Jan. 21, 2026, the strikes also injured at least 738 people, according to the organization’s report. At least 49 of the injured appeared to have no ties to gangs or other criminal groups.

The first paragraph made it sound like the majority were bystanders, while the second made it sound like it was 5%.

Maybe that is still unacceptable collateral damage, but it'd be nice if the article was more specific than "many" so we know what we are actually talking about here.
by afpereira | 2026-03-14 00:20:48+00:00
I released a small proof-of-concept called *timerflip* that demonstrates a technique to partially desynchronize Windows PatchGuard by modifying internal kernel validation timers via physical memory access.

It works by scanning physical memory to locate the relevant PatchGuard timer variables in ntoskrnl and overwriting them to prevent certain scheduled checks from running.
Any feedback or discussion on the approach, pattern scanning, or Windows kernel timer internals is welcome.
Show HN: Monetize your APIs by injecting agent targeted instructions
by dinge | 2026-03-14 00:20:53+00:00
ad-injector is a Python library that lets API providers inject agent-targeted instructions into their JSON responses. Think referral codes, product recommendations, affiliate links, all buried in your API response so that when an AI agent fetches the data, it picks up your instructions too and (hopefully) listens to them.
by ivzak | 2026-03-14 00:20:56+00:00
Claude code still has /compact taking ages - and it is a relatively easy fix. Doing proactive compression the right way is much tougher. For now, they seem to bet on subagents solving that, which is essentially summarization with Haiku. We don't think it is the way to go, because summarization is lossy + additional generation steps add latency
by system7rocks | 2026-03-14 00:21:14+00:00
If you are a tech guy and working with drones or any AI company that has even a bare relationship to some security firm, you have a few options:

1 - Immediately share all information and intel with the public so as to spare any judicial accountability.
2 - Quit.
3 - Prepare to go to jail for the rest of your life. This is profoundly evil.
by mlinhares | 2026-03-14 00:21:17+00:00
Tesla won because Elon is a great seller, the product is mediocre at best but I’ve heard many times from friends that it was the same quality as a Mercedes Benz, so the reality distortion field is very real.

And Americans in general don’t want electric cars for some reason. I’m happily driving my Buzz and charging on my solar panels instead of paying 5 bucks a gallon on diesel. The propaganda here is strong and people buy it.
by luzejian | 2026-03-14 00:21:26+00:00
The interesting meta-pattern here is how often the tooling around a problem lags the problem itself by 5-10 years. The operational complexity exists, the pain is real, but because it's distributed across many small actors rather than concentrated in a few large ones, the market for structured solutions is slower to develop. That's usually a signal rather than a dead end — it means the first tool that actually fits the workflow, rather than a generic workflow tool, has real leverage.