MurphyA/hacker-news huggingface dataset:
by tcdent | 2025-11-18 19:49:24+00:00
Hetzner certainly has this cult-like following mostly because of their low cost.

I assume it is a recent push toward these kind of open frame, super minimalist, consumer hardware based systems (I don't speak german and didn't translate the video).

It looks like they're using lots of consumer hardware and very little redundancy; you'll notice that the power supplies are generic ATX units and they're not doubled up. And then they're also running the onboard networking with a second connection which looks like it's for just a management system. Might not even be 10 gigabit networking.

It's interesting that in an era where almost all of the major players are moving toward cable-free arrangements i.e. backplanes with fully integrated power and networking, etc., they're instead opting for the rat's nest of cabling. It must have something to do with lower labor costs vs hardware costs. The amount of density that they are achieving with those systems is also incredibly low relatively speaking.
by sorokod | 2025-11-18 19:49:49+00:00
"junior developers" is a convenient label, it is incorrect but it will take a bit until we come up something that describes entities that:

- can write code

- tireless

- have no aspirations

- have no stylistic or architectural preferences

- have massive, but at the same time not well defined, body of knowledge

- have no intrinsic memories of past interactions.

- change in unexpected ways when underlying models change

- ...

Edit: Drones? Drains?
by ignoramous | 2025-11-18 19:51:02+00:00
> They really are shameless aren't they? Makes one think that this was the plan all along.

Not really. Sundar is still pretty bullish on GenAI, just not the investor excitement around it (bubble).

Pichai described AI as "the most profound technology" humankind has worked on. "We will have to work through societal disruptions," he said, adding that the technology would "create new opportunities" and "evolve and transition certain jobs." He said people who adapt to AI tools "will do better" in their professions, whatever field they work in.
by rbjorklin | 2025-11-18 19:51:09+00:00
Your post made me curious to try a problem I have been coming back to ever since ChatGPT was first released: https://open.kattis.com/problems/low

I have had no success using LLM's to solve this particular problem until trying Gemini 3 just now despite solutions to it existing in the training data. This has been my personal litmus test for testing out LLM programming capabilities and a model finally passed.
by jcrawfordor | 2025-11-18 19:51:16+00:00
A major reason for the enduring use of satellite in radio distribution is that, for live events like sports or (more common in NPR's case) political events, the satellite system provides appreciably lower latency than distribution over the internet. Reduced jitter also allows for generally higher reliability, you never hear the radio station buffering. There are options for low-latency land-based connectivity but at the scale of PRSS, the satellite system is cheaper to operate.

Most stations can also receive this programming over the internet, another reason for the satellite system is that it provides a completely redundant path for programming delivery. This is important for general reliability but especially so in an emergency.

Historically, radio networks distributed their programming over leased telephone lines. Satellite took over because it was cheaper. That gap has probably narrowed as terrestrial communications infrastructure continues to expand, but the internet struggles with low-latency real-time media, and an arrangement like leased fiber wavelengths to member stations would still be more expensive than the satellite system. There's a lot of member stations in a lot of places, satellite reaches all of them at once.
by ajross | 2025-11-18 19:51:23+00:00
You can't hedge against a whole market. And you can't time bubble pop events anyway. You can dump NVDA today, sure, because it's overvalued at $180. And most of us agree. But that won't prevent it from going to $300 before it pops (which is totally reasonable too!), so dumping it today might hurt as much as it helps. Run-ups at the end of a speculative bubble are by definition irrational and produce in-hindsight-ridiculous numbers.

If you're young and invested for the long term, just leave all your junk in broad index securities. You can't do better than that, you just have to ride the bumps.

On the other hand, I'm approaching retirement and looking seriously at when to pull the trigger. The aggregate downside to me of a large market drop or whatever is much higher than it is to a 20-something, because losing out on (to make a number up) an extra 30% of net worth is minor when compared to "now you have to work another three years before retiring" (or alternate framings like "you have to retire in Houston and not Miami", etc...).

So most of my assets are moving out of volatiles entirely.
CS/ML PhD: Debating Between Internship and Full-Time Offers
by ynliPbqM | 2025-11-18 19:51:29+00:00
I am a CS PhD student set to graduate sometime mid-to-late next year (2026). I interned this summer in the ML research group of a major financial institution (Goldman/Morgan Stanley/JPM). The team was good and I generally enjoyed the work and they have opportunity to publish at regular intervals. They also gave me a verbal full-time offer to join them after PhD completion (sometime mid-late 2026). I should be expecting the official letter sometime soon and the salary would be comparable to L4 salaries at Google.

Now I also happen to apply to and receive an offer for a research scientist intern at Meta for summer 2026 (flexible start dates). This isn't super-intelligence or anything, but fairly mature team that works on research/scientific problems in their core business. The team lead reached out to be and mentioned that they do have headcount for full-time and are indeed looking to transition some of the interns to FT based on internship perf and an internal interview. The Meta team's work I think is closer to my research than the bank, but both are relatively in the same ball park fit wise.

I'm deciding how best to play this out. On one hand, the bank offer is solid (it's full-time) and the comp is decent. On the other hand, Meta name (and the team) is solid, even though I have doubts/fears about layoffs and instability there. These are some option I'm thinking through:

1. Reject Meta and just sign whatever offer Bank officially gives.

2. Accept Meta and when the Bank offer comes, sign it if good and reneg on Meta (worried about the reneg).

3. Accept Meta and when the Bank offer comes, ask the start to be later in the year. This way, I to do the meta internship in the summer, and then come back to uni, quickly defend and start the bank job. More exhausting and intense option, but I do get the connections/resume highlight of Meta which could be useful later on.
by allymobian | 2025-11-18 19:51:31+00:00
Technical Account Manager Remote (US) | Mobian

Mobian is an AI-first company transforming how leading publishers and advertisers measure, target, and optimize media. Founded by the team behind Moat (acquired by Oracle), Mobian reimagines brand safety and contextual intelligence using advanced AI and large language models across text, image, audio, and video. Our platform provides transparent, content-level insights into risk, sentiment, tone, and emotion so advertisers and publishers can identify high quality content that drives outcomes.

We are seeking a Technical Account Manager to own customer success across our contextual intelligence and brand safety platform. You will be the primary point of contact for clients, leading onboarding, technical integrations, and ongoing product adoption. You will partner closely with product and engineering to solve problems, map client goals to solutions, and ensure measurable impact.

Responsibilities

Become an expert on Mobian’s APIs, data pipelines, and analytics tools to guide implementation and troubleshooting.

Lead onboarding and day to day account management for assigned clients, building trusted, long term relationships.

Translate technical concepts into clear business value for advertisers, agencies, and publishers.

Collaborate with engineering to investigate issues, triage bugs, and advocate for client-driven improvements.

Create and present performance reports highlighting KPIs, ROI, and success stories.

Monitor client usage, proactively flag risks, and identify opportunities for expansion or upsell.

Turn client feedback into actionable insights for product and engineering.

Stay current on industry trends, competitive landscape, and emerging tech in contextual intelligence and ad measurement.

Qualifications

3 to 5+ years in technical, client-facing roles in SaaS, ad tech, or digital advertising.

BA/BS in computer science, engineering, math, or related field.

Proven success managing multiple accounts and influencing stakeholders from users to executives.

Strong communication and presentation skills.

Technical aptitude to work closely with engineers and understand platform behavior.

Data-driven, with experience interpreting metrics and building reports (Excel, Keynote, PowerPoint).

Proactive problem solver focused on delivering exceptional client experiences.

What We Value

Ownership mindset and leadership in resolving client challenges.

Client-first attitude and collaborative approach with product and engineering.

Adaptability in a fast-moving, startup-like environment.

Passion for innovation in contextual intelligence, brand safety, and digital advertising.

Compensation and Benefits

Competitive salary

Unlimited PTO

Medical, dental, vision

100 percent remote

401(k) participation

Professional development support

Send resumes to: careers@themobian.com
by estimator7292 | 2025-11-18 19:51:44+00:00
I don't think it's very difficult to imagine that the usgov is trying to put pressure on industry to make "number go up". Given the general competency level in usgov these days, I also wouldn't be particularly surprised if nobody knew or cared about whether the "up" of the number was real or meaningful, or whether there would be consequences.

Current admin really, really wants the number going up, and is also incapable of considering or is ignorant to any notion of consequence for any actions of any kind.
by shoelessone | 2025-11-18 19:52:01+00:00
I really don't know why I struggle so much with this stuff. I believe these models / agents / whatever write code that is often at least as good as the code I write, and they are super helpful tools, but it just feels like it takes away so much of the joy that is programming to me. I'm not saying it's "right" of me to feel this way, but for me the struggle, and the figuring things out by testing, identifying patterns, or looking deeper into a library's implementation (etc) is part of the challenge that makes programming and software construction fun.
by Lammy | 2025-11-18 19:52:06+00:00
Haha, you don't have an actual response so you have to resort to argumentum ad hominem

"Again, when a man in violation of the law harms another (otherwise than in retaliation) voluntarily, he acts unjustly, and a voluntary agent is one who knows both the person he is affecting by his action and the instrument he is using; and he who through anger voluntarily stabs himself does this contrary to the right rule of life, and this the law does not allow; therefore he is acting unjustly. But towards whom? Surely towards the state, not towards himself. For he suffers voluntarily, but no one is voluntarily treated unjustly. This is also the reason why the state punishes; a certain loss of civil rights attaches to the man who destroys himself, on the ground that he is treating the state unjustly."

— Aristotle, Nicomachean Ethics Book Ⅴ http://classics.mit.edu/Aristotle/nicomachaen.5.v.html
by hankmh | 2025-11-18 19:52:12+00:00
Aptible team member here. Here's our blog post (and a Customer Q&A) about this acquisition: https://www.aptible.com/blog/announcing-aptible-opti9

First major section of the post is "What this means for Aptible Customers" but the tl;dr is that nothing major changes about how customers use Aptible, though we expect to accelerate our roadmap!

Happy to answer any other questions you have hjhart
by throwaway13337 | 2025-11-18 19:53:00+00:00
I gave it a fair shot.

It is a vs code fork. There were some UI glitches. Some usability was better. Cursor has some real annoying usability issues - like their previous/next code change never going away and no way to disable it. Design of this one looks more polished and less muddy.

I was working on a project and just continued with it. It was easy because they import setting from cursor. Feels like the browser wars.

Anyway, I figured it was the only way to use gemini 3 so I got started. A fast model that doesn't look for much context. Could be a preprompt issue. But you have to prod it do stuff - no ambition and a kinda offputting atitude like 2.5.

But hey - a smarter, less context rich Cursor composer model. And that's a complement because the latest composer is a hidden gem. Gemini has potential.

So I start using it for my project and after about 20 mins - oh, no. Out of credits.

What can I do? Is there a buy a plan button? No? Just use a different model?

What's the strategy here? If I am into your IDE and your LLM, how do I actually use it? I can't pay for it and it has 20 minutes of use.

I switched back to cursor. And you know? it had gemini 3 pro. Likely a less hobbled version. Day one. Seems like a mistake in the eyes of the big evil companies but I'll take it.

Real developers want to pay real money for real useful things.

Google needs to not set themselves up for failure with every product release.

If you release a product, let those who actually want to use it have a path to do so.
by kazinator | 2025-11-18 19:53:06+00:00
One problem is this:

1. Some regions have mandatory DRLs (daytime running lights).

2. In many headlights, the DRL is implemented by dimming the high beam lamp.

3. LED lamps do not dim properly; compared to incandescent bulbs they dim only slightly.

The result is high beam glare from cars in broad daylight everywhere you go.
by pipes | 2025-11-18 19:53:37+00:00
I might just be getting old, but more and more I see people not using indicators and not understanding the rules of junctions. Tail gating also really annoying.

I was in a mates car recently and it scared the hell out of me, he was tail gating for most of a 3 hour journey. Eventually we got to a bit with chevrons and he wasn't obeying the rule staying N chevrons away from the car in front. I told him and he replied "nonsense, my car beeps if I'm too close to the car in front" I didn't have the energy to point out that is a collision warning not a safe distance measurer type device.
by AlotOfReading | 2025-11-18 19:53:53+00:00
It might not be the kind of scraping rebble is worried about, but a bunch of requests to extract data into another form is very plainly scraping and the contract doesn't differentiate based on intent or whether the process is entirely automated. The entire contract is similarly loose and informal, which contributes to these sorts of misunderstandings.

The most reasonable solution would have been for Eric to send an email first, but few contract disputes start with everyone doing the most reasonable thing.
by pwg | 2025-11-18 19:54:10+00:00
> Nothing is really repairable, of course, so replacing these parts is out of the question

As regards the cloudy/micro-scratched headlamps, if one is willing to do so there are numerous polish kits that can restore that "new from the factory" clarity for either an amount of elbow grease, or some time with a drill spinning a polish wheel (depending upon which kit is purchased).
by IAmBroom | 2025-11-18 19:54:23+00:00
It's literally the current case. Our citizenry is incapable of meeting our labor needs. ("Why" is another discussion entirely.)

If you were to remove all the illegal immigrants right now from the US, our economy would be kneecapped. Granted, the harvest season is over in most of the US, but housing would be among the first markets to collapse functionally. If you are uncertain how important that market is, study the Great Recession of 2008.
by kachapopopow | 2025-11-18 19:54:27+00:00
It's joeover for openai and antrophic. I have been using it for 3 hours now for real work and gpt-5.1 and sonnet 4.5 (thinking) does not come close.

the token efficiency and context is also mindblowing...

it feels like I am talking to someone who can think instead of a **rider that just agrees with everything you say and then fails doing basic changes, gpt-5.1 feels particulary slow and weak in real world applications that are larger than a few dozen files.

gemini 2.5 felt really weak considering the amount of data and their proprietary TPU hardware in theory allowing them way more flexibility, but gemini 3 just works and it truly understands which is something I didn't think I'd be saying for a couple more years.
by bblb | 2025-11-18 19:54:45+00:00
> genetic ai agent container orchestration; only the best results survive so they have to fight for their virtual lives

AI Agent Orchestration Battle Bots. Old school VMs are the brute tanks just slowly ramming everybody off the field. A swarm of erratically behaving lightweight K8s Pods madly slicing and dicing everything coming on their way. Winner takes control of the host capacity.

I might need this in my life.
by quinnjh | 2025-11-18 19:54:58+00:00
you may be interested in some tech details on that project's prototypes here: https://www.quinnjh.net/projects/adaptive-instruments-projec...

As for the tuning system, we didnt get great demo recordings of it, but the invisible strings were linearly mapped as a range onto degrees of a given scale. In our use-case (letting people with disabilities jam without too much dissonance) that key+scale and the master tempo were broadcast to each instrument.

Would have been interesting to play more with custom tunings, but the users we were designing for would have had a harder time using it consonantly. FWIW fully-abled folks like myself sound pretty bad on the theremin, and seeing people play them in orchestras etc displays an impressive level of "virtuosity" to place the hands properly. Quantizing the range of possible positions helps but the tradeoff is sacrificing expressivity.

As for 1) yes, there will definitely be some pitfalls with the relatively slow updates - which may show up as "zipper noise" artifacts in output.

For 2), logarithmic mapping between position and pitch is traditionally theremin-like, but as the theremin avoids zippering by being analog, youll have to get creative with some smoothing/lerping and potentially further quantization. Thats the fun and creative bit though!

Would love to hear about your project again and what approaches you take, and happy to answer other q's so feel free to drop me a line.
by coldpie | 2025-11-18 19:55:01+00:00
Same thing as always. Stick with your plan and rebalance if you need to. If your plan is 80% stock 20% bond (or whatever ratios), and the increased stock prices are putting you significantly out of balance, then sell your stock funds and buy bonds to put it back to where it should be. If the crash happens, sell your now too-high bonds and buy stocks. Or just buy into one of those funds that does all this for you, or hire a fiduciary financial advisor to do it for you.
by FloorEgg | 2025-11-18 19:55:07+00:00
I take minor issue with your "the invention" framing rather than "an invention" framing, since the AI we have today is just another manifestation of automation, like the steam engine, printing press, plow, abacus...

It's just more leverage on human time.

I agree with GP that the true source of these peoples angst isn't what AI is or will do, but the emotions incepted into them by the attention economy, which by nature optimizes for what gets people's attention: not what's true, but what's novel and upsetting.

Edit: I'll go a step further and acknowledge another source of angst is that we are in the late stages of a monetary economy cycle (USD gold standard -> floating petrodollar) and a system that by design accrues the benefits of automation into the value of assets (which disproportionately rewards those who leverage assets to buy more assets). If automation increases efficiency by 10%, and the central bank aims at 2% inflation, then it will pull levers to increase money supply such that prices of consumption goods increase 2%, but all the assets not being consumed (not measured by inflation indicators), increase far faster than 2%.

So the problem isn't the automation, it's how the benefits of the automation propagate across this particular economic system.

Also, since I expect some will be thinking it, I don't think capitalism is the problem, the problem is the scope and framework that capitalism is running in/on. An obvious fault is citizens United, but there are more, and I suspect several I don't understand, and maybe no one understands but I suspect people will understand clearly 100 years from now.
by ApolloFortyNine | 2025-11-18 19:55:23+00:00
People love getting their content for free and that's what Google does.

Even 25 years ago people wouldn't even believe Youtube exists. Anyone can upload whatever they want, however often they want, Youtube will be responsible for promoting it, they'll provide to however many billions users want to view it, and they'll pay you 55% of the revenue it makes?
by WesleyLivesay | 2025-11-18 19:55:32+00:00
I think it appears to have done a good job of summarizing the points that it summarize, at least judging from my quick watch of a few sections and from the YT Transcript (which seems quite accurate).

Almost makes me wonder if it is behind the scenes doing something similar to: rough transcript -> Summaries -> transcript with timecodes (runs out of context) -> throws timestamps that it has on summaries.

I would be very curious to see if it does better on something like an hour long chunk of audio, to see if it is just some sort of context issue. Or if this same audio was fed to it in say 45 minute chunks to see if the timestamps fix themselves.
by shermantanktop | 2025-11-18 19:56:01+00:00
- don't learn from what you tell them

- don't have career growth that you can feel good about having contributed to

- don't have a genuine interest in accomplishment or team goals

- have no past and no future. When you change companies, they won't recognize you in the hall.

- no ownership over results. If they make a mistake, they won't suffer.
by margalabargala | 2025-11-18 19:56:08+00:00
They aren't a 501c3. When I wrote my original comment I did a search for Rebble among all 501c3 ores and they are not there.

I looked closer after your comment. They appear to be a "Michigan Domestic Non-Profit Corporation".

Why aren't they a 501c3? I have no idea. It makes me trust them less to be honest, that they are some sort of nonprofit but not a 501c3.
by gretch | 2025-11-18 19:56:57+00:00
If you buy ETFs, you basically hold some stocks you don't want.

For example, stock from war profiteering companies (lockheed, raytheon).

Note that investing in war profiteers is a proven way to build wealth. I just don't want to do that.

This argument not only applies to evil companies, but also dumb ones. For example, I have no interest in investing in IBM or Oracle even those both of those are also money makers.
by byt3bl33d3r | 2025-11-18 19:57:47+00:00
I’ve been meaning to create & publish a structured extraction benchmark for a while. Using LLMs to extract info/entities/connections from large amounts of unstructured data is also a huge boon to AI-assisted reporting and has also a number of cybersecurity applications. Gemini 2.5 was pretty good but so far I have yet to see an LLM that can reliably , accurately and consistently do this