MurphyA/hacker-news huggingface dataset:
by rimbo789 | 2025-08-29 12:12:54+00:00
If interns existed like that they haven’t in the 21st century. They are a free disposable short term labour to be ripped through.

Also what company do you know of thinks in 40 year terms? The longest budgeting process I’ve been part of has been 3 years and the year 3 numbers were understood to be pure wish fulfilment
by jasona123 | 2025-08-29 12:12:58+00:00
From the PR update: https://www.anthropic.com/news/updates-to-our-consumer-terms

“If you do not choose to provide your data for model training, you’ll continue with our existing 30-day data retention period.“

From the support page: https://privacy.anthropic.com/en/articles/10023548-how-long-...

“If you choose not to allow us to use your chats and coding sessions to improve Claude, your chats will be retained in our back-end storage systems for up to 30 days.”
by storus | 2025-08-29 12:13:38+00:00
HDPlex GaN power supply?

1 HDD consumes around 5-7W idle, so with 8 HDDs you get to 40-60W on HDDs alone (all idle); adding 6W with N100 seems like insignificant fraction. The moment you actually use any HDD the consumption per HDD shots up to 8-10W whereas N100 shots up to 14W so you end up with 64-80W from HDDs and 14W from N100. Why would you like to squeeze component that is the least important (CPU) while retaining lots of SATA HDDs as that's your priority? Optimizing the wrong thing? If you wanted to lower power, the easiest way is to replace HDDs with 16TB SATA SSDs, each consuming 0.08-2W. Then CPU might be a bottleneck.
by echelon | 2025-08-29 12:13:56+00:00
That's disgusting.

We need a Galoob vs. Nintendo [1], Sony vs. Universal [2], or whatever that TiVo case was (I don't think it was TiVo vs. EchoStar). A case that establishes anyone can scrape and distill models.

[1] https://en.wikipedia.org/wiki/Lewis_Galoob_Toys,_Inc._v._Nin....

[2] https://en.wikipedia.org/wiki/Sony_Corp._of_America_v._Unive....
by Havoc | 2025-08-29 12:14:14+00:00
Not sure what these guys are studying but can tell you in the real world - essentially zero AI rollout in accounting world for anything serious.

We've got access to some fancy enterprise copilot version, deep research, MS office integration and all that jazz. I use it diligently every day...to make me a summary of today's global news.

When I try to apply it to actual accounting work. It hallucinates left, right & center on stuff that can't be wrong. Millions and millions off. That's how you get the taxman to kick down your door. Even simple "are these two numbers the same" get false positives so often that it's impossible to trust. So now I've got a review tool that I can't trust the output of? It's like a programming language where the equality (==) symbol has a built in 20% random number generator and you're supposed to write mission critical code with it.
by elzbardico | 2025-08-29 12:14:25+00:00
I am pretty sure they try to do it all the time between themselves. Most of the real sauce in AI coding comes from reinforcement learning, usually done by armies of third world outsourced developers tediously doing all kinds of tasks with instructions to detail their reasoning behind each chance. Things like: "to run this python test in a docker container with the python image we need to install the python package xyz, but then, as it has some native code, we also need to install build-essential..."

While those developers are not well paid (usually around 30/40 USD hour, no benefits), you need a lot of then, so, it is a big temptation to create also as much synthetic data sets from your more capable competitor.

Given the fact that AI companies have this Jihad zeal to achieve their goals no matter what (like, fuck copyright, fuck the environment, etc, etc), it would be naive to believe they don't at least try to do it.

And even if they don't do it directly, their outsourced developers will do it indirectly by using AI to help with their tasks.
by Xmd5a | 2025-08-29 12:14:54+00:00
No mentions of

https://www-cdn.anthropic.com/07b2a3f9902ee19fe39a36ca638e5a..., page 62

Anthropic – System Card: Claude Opus 4 & Claude Sonnet 4 – May 2025

>5.5.2 The “spiritual bliss” attractor state

>The consistent gravitation toward consciousness exploration, existential questioning, and spiritual/mystical themes in extended interactions was a remarkably strong and unexpected attractor state for Claude Opus 4 that emerged without intentional training for such behaviors. This “spiritual bliss” attractor has been observed in other Claude models as well, and in contexts beyond these playground experiments

>Even in automated behavioral evaluations for alignment and corrigibility, where models were given specific tasks or roles to perform (including harmful ones), models entered this spiritual bliss attractor state within 50 turns in ~13% of interactions (Transcript 5.5.2.B). We have not observed any other comparable states.
by teekert | 2025-08-29 12:14:56+00:00
Granted, it is a stretch and not near the features of Claude (no code etc), but at least Proton's Lumo [0] is very privacy oriented.

I have to admit, I've used it a bit over the last days and still reactivated my Claude pro subscription today so... Let's say it's ok for casual stuff? Also useful for casual coding questions. So if you care about it, it's an option.

[0] https://lumo.proton.me/
by bayindirh | 2025-08-29 12:15:19+00:00
Apple is an exception, and even that is debatable because of the unencrypted backups they store.

On the other hand, what Apple did is a tangible thing and is a result.

This gives them better optics for now, but there is no law says that they can't change.

Their business model is being an "accessible luxury brand with the privacy guarantee of Switzerland as the laws allow". So, as another argument, they have to do this.
by JCM9 | 2025-08-29 12:15:43+00:00
Not a surprise. All the major players have reached the limits of training on existing data—they’re already training on essentially the whole internet plus a bunch of content they allegedly stole (hence various lawsuits). There haven’t been any major breakthroughs in model architecture from the major players recently and thus they’re now in a battle for more data to train on. They need data, and they want YOUR data, now, and are gonna do increasingly shady things to get it.
by qazxcvbnm | 2025-08-29 12:16:04+00:00
When things aren’t ticking perfectly for Synology their software can be kind of weird. Sometimes after power failures, some disks get corrupted and… you simply can’t log in to the Synology UI during this time (unless you “synobootseq --set-boot-done”, why, of course) for an unspecified number of hours.

Their custom software has its quirks (eg scp doesn’t work unless you apply the -O flag, for “security” reasons), and the quirks change sometimes after updates.
by TheCraiggers | 2025-08-29 12:16:41+00:00
I'm not sure I understand. Even a custom Arch install with samba, zfs, NFS, etc would be a "single setup, works forever" deal. It's not like what you configure is going to magically break if you don't look at it.

And security could be an issue, but it's not like Synology is any better there with their old as dirt dependencies.

Snark aside, TrueNas is probably your best bet. Maybe Unraid? Still, with all of these, it's not like they require constant attention to operate.
by perihelions | 2025-08-29 12:17:04+00:00
How does Kagi (claim that they) enforce privacy rights on the major LLM providers? Have they negotiated a special contract?

I'm looking at

> "When you use the Assistant by Kagi, your data is never used to train AI models (not by us or by the LLM providers), and no account information is shared with the LLM providers. By default, threads are deleted after 24 hours of inactivity. This behavior can be adjusted in the settings."

https://help.kagi.com/kagi/ai/assistant.html#privacy

And trying to reconcile those claims with the instant thread. Anthropic is listed as one of their back-end providers. Is that data retained for five years on Anthropic's end, or 24 hours? Is that data used for training Anthropic models, or has Anthropic agreed in writing not to, for Kagi clients?
by dmezzetti | 2025-08-29 12:17:06+00:00
Context and prompt engineering is the most important of AI, hands down.

There are plenty of lightweight retrieval options that don't require a separate vector database (I'm the author of txtai [https://github.com/neuml/txtai], which is one of them).

It can be as simple this in Python: you pass an index operation a data generator and save the index to a local folder. Then use that for RAG.
by sillyfluke | 2025-08-29 12:17:23+00:00
"US Army appoints Palantir, Meta, OpenAI execs as Lt. Colonels" [0]

Well, probably easier than you think. Given that it looks like Palantir is able to control the software and hardware of the new fangled detention centers with immunity, how difficult do you think it is for them to disappear someone without any accountability?

It is precisely the blurring of the line between gov and private companies that aid in subverting the rule of law in many instances.

[0] https://thegrayzone.com/2025/06/18/palantir-execs-appointed-...
by sarchertech | 2025-08-29 12:17:56+00:00
I use AI for most of those things. And I think it probably saves me a bit of time.

But in that study that came out a few weeks ago where they actually looked at time saved, every single developer overestimated their time saved. To the point where even the ones who lost time thought they saved time.

LLMs are very good at making you feel like you’re saving time even when you aren’t. That doesn’t mean they can’t be a net productivity benefit.

But I’d be very very very surprised if you have real hard data to back up your feelings about your work taking you half as long and being equal quality.
by Patt_ | 2025-08-29 12:18:09+00:00
Gotta optimize your spendings, and from my own ex you can get the same desired quality for all your current needs.

Don't subscribe to Claude or GPT-4 or Gemini. Instead, go get something like Perplexity or similar tools so that you can have access to all these latest premium AIs (300~600 queries/day) If you're comfortable with copy-pasting back and forth, this one thing meets all your needs.

And on the IDE side, subscribe to only one IDE, And even with IDEs, you can cut down costs, like going for qoder(just came out, free 2 week trial) or Trae (3 bucks a month, you can get that deal ). As for Claude Code, swap in qwen or DeepSeek apis. They're compatible with Claude Code and works ootd.
by weatherlite | 2025-08-29 12:18:21+00:00
> but it's really not that much lower, plus life is just cheaper, even here in the Netherlands.

Lived in the NL for 4 years, it was many things - cheap wasn't one of them. With the enormous taxes , high rents and mediocre salaries I don't think you can make the case it's somehow cheaper than the U.S unless you specifically mean Manhattan and Silicon Valley.
by BoredPositron | 2025-08-29 12:18:49+00:00
I use it on an XA2, which is a bit of an older phone, but even there it runs fine. Sometimes the Android apps slow down and you have to relaunch the application layer, but that's just one click and takes about 5 seconds. That said, most Android apps run fine. All the enterprise stuff works great (Okta, MS Authenticator, Exchange etc.). Native Apps are a bit hit and miss but development is rather easy.

I'd say the biggest pain point is that Google Maps doesn't work because of the lack of Google Play Services. The missing Maps/Play Services also breaks apps that rely on the maps API. Most of them just fall back to not showing a map at all while the rest of the app functions normally, but it's still an inconvenience. For turn by turn navigation I switched to HERE Maps which works without problems.
by mexicocitinluez | 2025-08-29 12:18:59+00:00
One of the things that has struck me as odd is just how little self-awareness devs have when talking about "skin in the game" with regard to CEO's hawking AI products.

Like, we have just as much to lose as they have to gain. Of course a part of us doesn't want these tools to be as good as some people say they are because it directly affects our future and livelihood.

No, they can't do everything. Yes, they can do some things. It's that simple.
by TheCapeGreek | 2025-08-29 12:19:03+00:00
Fully agreed.

In my view, effective coding agent use boils down to being good at writing briefs as you would for any ticket. The better formatting, detail, and context you can provide BOTH on an outcome level and a technical architecture level, the better your results are.

To put it another way: If before LLMs came along you were someone who (purposely or otherwise) became good at writing for documentation and briefing tickets for your team, I think there's a decent chance you're going further with these agentic tools than others that just shove an idea into it and hope for the best.
by TheOtherHobbes | 2025-08-29 12:19:04+00:00
There are two ways to do this. One is to one-shot or maybe few-shot a solution. Maybe this works. Maybe it doesn't. Sometimes it works if you copy a solution from [Product 1] to [Product 2] and say "Fix this."

The other is to look at the non-working solution you get, read through it, and think "Oh, I didn't know about that framework/system/product/library, that's neat" and then do some combination of further research and more hand-holding to get to something that does work.

This is useful, more or less, no matter what your level.

It's also good for explaining core industry tooling you've maybe never used before. If you're new to Postgres/NoSQL/AWS/Docker/SwiftUI/whatever it can talk you through it and give you an instant bootcamp with entry-level examples and decent solutions.

And for providing fixes for widely known bugs and issues in products that may not be widely known to you (yet.)

IME ChatGPT5 is pretty solid with most science/tech up to undergrad. It gets hallucinatory past that, and it's still flattering, which is annoying, but you can tell it to cut that out.

Generally you can use it as a dumb offshore developer, or as an infinitely patient private tutor.

That latter option is very useful. The first, not always.
by elashri | 2025-08-29 12:19:21+00:00
> That seems very transparent to me

Implicit consent is not transparent and should be illegal in all situations. I can't tell you that unless you opt out, You have agreed to let me rent you apartment.

You can say analogy is not straightforward comparable but the overall idea is the same. If we enter a contract for me to fix your broken windows, I cannot extend it to do anything else in the house I see fit with Implicit consent.
by adithyassekhar | 2025-08-29 12:19:25+00:00
Here’s a first draft of your essay—leaning into metaphor as scaffolding, not ornament, and keeping the tone between elegy and cyberpunk fable:

---

### The Fragility of Digital Memory in the Age of Infinite Storage

We live inside an archive that never closes. Hard drives hum like cathedrals of perfect recall, cloud servers drift like silent librarians in orbit, and every keystroke is another bone set in amber. Memory, once a trembling candle subject to drafts and time, now runs on battery backups and redundant arrays. Forgetting has been engineered out of the system.

And yet, the paradox: by remembering everything, we begin to lose the art of remembering at all. Human memory is a cracked mirror—crooked, selective, shimmering with distortions that make us who we are. Its gaps are the negative space where meaning lives. The story of a childhood is not its complete inventory but its torn edges, the blurred photograph, the half-forgotten lullaby whose missing notes we hum into being.

Digital memory, by contrast, is a hoarder’s attic with perfect climate control. Nothing rots, nothing fades, nothing dares to slip away. Every draft email unsent, every unflattering selfie, every midnight search query—all preserved in pristine sterility. The archive is so complete that it ceases to be a story. It becomes a warehouse of moments that never learned how to decay.

But memory without decay is less than human. Nostalgia itself might be the first compression algorithm: a lossy filter that turns clutter into resonance. Without the soft erasures of time, experience calcifies into raw data, and raw data has no mercy.

Perhaps what we need are systems that misremember. Databases that dream. Algorithms that allow certain files to fray at the edges, to grow fuzzy like old film reels, to tint themselves with the sepia of emotion rather than the fluorescence of metadata. A kind of deliberate forgetting—not loss as failure, but loss as design.

Because what is fragility if not the pulse behind memory’s worth? The hard drive never gasps, never sighs; only the human mind knows the ache of absence, the sweetness of something slipping away. If the future is an archive without end, perhaps our task is to reintroduce the possibility of disappearance. To let silence seep between the entries. To remind the machines that to truly remember, one must first learn how to forget.

---

Do you want me to lean this more toward *meditation* (open-ended, drifting) or *argument* (provoking design questions like “can forgetting be engineered”)?
by monospacegames | 2025-08-29 12:20:02+00:00
Is that why they got banned in India recently? Because they were too good at offering complex financial instruments to customers at competitive prices?

Ultimately companies like Jane Street have no moral rudder and it is a waste of talent for smart young people to work for them, but we are so far beyond such considerations at this point that it sounds naive to even suggest that maybe talented people should work on things that make society better for everyone and care about the moral implications of their work. Instead everyone is looking for a way to contribute to the coming dystopia in whatever way they can because that's where the money is.
by const_cast | 2025-08-29 12:20:02+00:00
Zoom is pretty good for video meetings and especially for video conferences. I've never tried to use it for chat, but I imagine it's pretty lackluster. The really nice thing about teams is that it does both in one place.

But you know what's super underrated and I think could really take a hold on the business world? Discord! The video calls are so good! And multiple streams at the same time? Zoom can't do that!

The channels, too, just blow everything teams has out of the water. The video quality is better, its way faster, has more features, and they actually work. The audio filtering stuff actually works.

I really think with the right marketing they could take over the world. Honestly can't believe they haven't tried it yet.
by spacedcowboy | 2025-08-29 12:20:18+00:00
For the first time, ever, I’m wondering if I actually need the fastest service…

But it’s not 1.6Gbit - there’s a local service provider (as opposed to the generic list the estate-agents site uses) which offers 10Gbit (because it’s the UK you have to quote median speed, so they quote 7Gbit). I know because that’s what the previous owner had, he ran a business from there.

I’m sorry, I guess that really is rubbing it in :)
by jibal | 2025-08-29 12:20:20+00:00
I've been as programmer for 60 years. I know perl well and it was my go-to scripting language for years although I hated the sigils various other design choices. Only within this year did I set aside the time to learn Python. It didn't take long ... the language is not complex. Of course the libraries and frameworks and deployment tools etc. are extensive and dense and complex because the world has become so complex, extraordinarily so compared to the world when I started programming.
by whs | 2025-08-29 12:20:22+00:00
I signed up, feels like this is something that should've existed long ago.

Your privacy policy isn't good for a privacy focused provider though. You shouldn't have the rights to use my personal information. The use of Google Tag Manager also not inspire confidence, especially in LLM pages where you might "accidentally" install a user monitoring script and the prompts get logged. I'd suggest looking at how Kagi do the marketing to privacy-conscious customers.
by infecto | 2025-08-29 12:20:30+00:00
Market makers or other similar HFT are providing liquidity in an efficient manner to the markets. The benefit is often debated but for the majority of retail and institutional investors, spreads have never been lower. Instead of a guy at the floor swallowing large margins up, you have bots electronically vacuuming pennies.

Of course the whole point for a firm like Jane Street is to make money. To make money means they are competing with someone and that someone could be a loser depending on the scenario.

My own opinion, most folks don’t like market makers or folks who work in financial markets are simply not well informed. The efficient allocation of capital is a valuable service to humans in a capitalist society. People often forget how wide spreads were in the past and that humans were swallowing that margin up with little competition. Now market making is highly competitive and because of it investors both small and large benefit from it.
by utilize1808 | 2025-08-29 12:20:57+00:00
My understanding is that the way it works is that your proxy server pretends to be a server ran by some legitimate entity (e.g. cloudflare, aws, etc.). When setting up the server, you will instruct it respond using the cert from the façade domain. To the censor, it would appear that you are approaching a server ran by the legitimate entity. If the censor becomes suspicious of the IP and decides to probe the server to see if it is a circumventing proxy, it would see valid certs but no actual content (as if the server at the IP is broken/down). However, there is actually a secret path+password that you can use to make the server aware that you are a real client and the proxy server would start proxy your traffic normally.
by potato3732842 | 2025-08-29 12:21:17+00:00
70s and 80s cars were built for the little "whoopsie that's a mailbox", "didn't see you merging there" and "oh golly me, this snow sure is slick, and that's a ditch right there" mishaps that are the overwhelmingly dominant form of vehicle accidents. If you didn't actually care to fix things, many accidents that would be thousands of dollars today were $0 back then because required systems remained functional (that was the whole point of those mandated 10mph bumpers).

If your want to survive hitting stopped traffic at 40mph because you were too busy shitposting in traffic, modern car all the way. Depending on the details you may very well walk away without a scratch. It's really marvelous how good they are at keeping people uninjured, or at least alive.

But the overwhelming majority of people's driving experience reflects the former accident type, not the latter, hence why people have the opinions they do. And you can't really blame them. The odds of any given person being in an injurious accident in their life are low, lower still if you avoid a few key behaviors everyone agrees are bad.