MurphyA/hacker-news huggingface dataset:
by ericmay | 2025-08-28 01:07:47+00:00
I don’t care if “other country” can make t-shirts better than we can. I care that we make them with our labor and keep our money here instead of going into debt and losing jobs.

China for example doesn’t allow US social media companies. There you go. There’s one item which is all we need, therefore tariffs against China are justified until they open their markets to free competition from the US. Hell, just this week the CCP banned Chinese companies from buying Nvidia chips.

(I’m picking on China here because it’s the east example, but it is not the only one)

> Sometimes, there is no deeper explanation for this nonsense than being a sore loser at someone else being better than you at something.

Ok let us be sore losers by ourselves with our tariffs. What concern is it if any other country?
by ecb_penguin | 2025-08-28 01:07:56+00:00
> Again, ad hominem attack

That's not what ad hominem means. Ad hominem doesn't mean I can't insult you

> My account is from 2015 and has ~11k points. Your account is 4 months old and barely has 150 points. It's more likely that you're a poorly trained LLM (whoever trained you had skill issues :P) rather than me.

Content matters more than age you goofball
by nayajunimesh | 2025-08-28 01:08:08+00:00
That is a good point! How do you feel about fail-fast by default but being able to configure a validator to collect all errors (like Zod does by default)? Something like array(number(), { failFast: false });

We currently expose error as a tree structure so that it's easy to map an error to a value or build custom error messages (we only provide debug error message) and I haven't been able to come up with a satisfactory error API that accommodates multiple error paths, but you raise an excellent point. Thanks for pointing out.
by lmm | 2025-08-28 01:08:10+00:00
> Don't most of the benefits just come down to using a statically typed and thus compiled language? Be it Java, Go or C++; TypeScript is trickier, because it compiles to JavaScript and inherits some issues, but it's still fine.

No. You have to have a certain amount of basic functionality in your type system; in particular, sum types, which surprisingly many languages still lack.

(Note that static typing does not require compilation or vice versa)

> I know that Rust provides some additional compile-time checks because of its stricter type system, but it doesn't come for free - it's harder to learn and arguably to read

ML-family languages are generally easier to learn and read if you start from them. It's just familiarity.
by yogorenapan | 2025-08-28 01:08:52+00:00
I'm generally on the opposite side of the political spectrum but I agree with a lot of your points. While some rules make sense in terms of inclusivity, a lot of them will probably cause more confusion than anything... I really hope those that try to impose their world view too heavily onto others won't inadvertently push the political pendulum further right despite the fact that these rules feel more puritan/religious than liberal.
by dwood_dev | 2025-08-28 01:09:19+00:00
Athlon era when AMD had no IHS but Intel had one. Intel also had thermal controls that AMD lacked.

I once worked on a piece of equipment that was running awful slow. The CPU was just not budging from its base clock of 700Mhz. As I was removing the stock Intel cooler, I noticed it wasn't seated fully. Once I removed it and looked I saw a perfectly clean CPU with no residue. I looked at the HSF, the original thermal paste was in pristine condition.

I remounted the HSF and it worked great. It ran 100% throttled for seven years before I touched it.
by lmm | 2025-08-28 01:09:45+00:00
> I had to explain this to my students today using XKCD #1987, that although Python is considered a universally "simple" and "easy to use" language, a lot of the complexity in that ecosystem is paid for on the backend.

No, that's just an unrelated coincidence. Python happens to be a good language with awful tooling, but there are also good languages with good tooling and awful languages with awful tooling.
by marxism | 2025-08-28 01:09:47+00:00
I contribute to the Happy Coder app https://github.com/slopus/happy (MIT License)

I've gotten a lot of use out of Claude Code in the past few months. The big problem for me is struggling to stay on top of multiple sessions in parallel. I know that all the cool kids on twitter have all these AI employees and agents farms... A lot of its probably bullshit, but directionally its clear that tooling will absorb some fraction of my workload.

I know I need to push myself to have 2 or 3 balls in the air. But without push notifications to know when Claude Code needs permissions or input, I end up "wasting" time a lot.

So having an app that sends discrete push notifications to my watch is pretty nice.

Oh, and before I forget, I'm pretty excited by the Voice Agent feature another contributor is working on https://x.com/giaccoangelo/status/1960550007272300964

You talk to a voice agent, then voice agent talks to Claude Code. The voice agent acts like a buffer for me to ramble and gather my thoughts. Then the voice agent writes the prompt for claude code when I'm ready. So that unlocked walk and code for me. Now as I walk to the train from the office, I can dump some of the brain ideas into Claude Code plan mode, and they'll be waiting for me in the morning.

Plus I've been using plan mode more and more.
by const_cast | 2025-08-28 01:09:54+00:00
That's just one type of malware - spyware is also malware.

The only difference between a malicious app exfilitrating your cookies through an exploit and Meta exfilitrating your cookies through an exploit is you trust Meta won't use your cookies to impersonate you, steal your browser sessions, drain your bank account, etc.

But that's just pure trust. Meta could easily have a leak - Experian had a leak and people lost millions of dollars.
by AgentSphere | 2025-08-28 01:10:32+00:00
Whether you prefer Claude Code (CLI) or Cursor (IDE), both face the same problem: Where should AI-generated code actually run?

Running locally = risk + pollution. The solution: decouple the frontend dev tool from the backend execution layer.

AgentSphere provides a universal, secure cloud sandbox for AI developer tools, powered by the AgentSphere MCP Server.

- Blog: https://www.agentsphere.run/blog/work-with-claude-code-and-c... - Demo videos: https://www.youtube.com/@AgentSphere-iSS - Docs: https://www.agentsphere.run/docs/mcp-server
by gruez | 2025-08-28 01:11:22+00:00
>Surveillance definition "Systematic observation of places and people by visual, aural, electronic, photographic or other means." If you are pinging someone's IP to determine their physical location, you are engaged in a form of surveillance.

Setting aside the problem with pinging home IPs (most home routers have ICMP echo requests disabled), your definition of "systematic observation" seems very flimsy. Is monitoring the global BGP routing table "systematic observation"? What about scraping RIR records? How is sending ICMP echo requests and observing the response times meaningfully similar to what google et al are doing? I doubt many people are upset about google "systematically observing"... the contents of books (for google books), or the layout of cities (for google maps, ignoring streetview). They're upset about google building dossiers on people. Observing the locations of groups of IP addresses (I'm not aware of any geoip products that can deanonymize specific IP addresses) seems very divorced from that, such that any attempts at equating the two because "systematic observation" is non-nonsensical.
by rootnod3 | 2025-08-28 01:11:25+00:00
Seibu had nothing to do with it. BicCamera started in Ikebukuro and was influential in building up the area. The jingle change is a campaign as BicCamera is doing a cooperation with the ward to build it out more. See [1]

[1] https://dc.watch.impress.co.jp/docs/news/1573062.html
by donkeybeer | 2025-08-28 01:11:26+00:00
I am glad we finally admitted its not about this or that labor or other nonsense but about being a sore loser.

And you seem to be forgetting I am equally in opposition of tariffs and consider it fucking shit when China or anyone else does it.

Be sore losers, nobody is stopping you, I just truly and earnestly hope for the sake of your country that I am wrong.
by tdonnelly | 2025-08-28 01:11:27+00:00
Is there a certain part of the data that the service collects that you're wondering about?

We aren't doing anything shady or unexpected with the data given the server-based model – projects are stored on the Bitrig server, but we aren't selling the data, using it for training, etc.

We may use the data to improve Bitrig in the future (e.g. by gathering information on the popularity of certain APIs to prioritize bug fixes and new features).

All AI requests use Claude, which of course sends some data to Anthropic.
by mahmoud-khaled | 2025-08-28 01:11:40+00:00
I think u just didn't pick right chip Intels new coure ultra 2 series they redone everything from scratch to focus on efficiency and also the x elite laptops or tablets u could chose lie surface pro with arm chip find how well it does combining what mac and i pad can't do you could get similar battery performance experience, but one question did u consider remote developing on tablet and have dedicated server in home with all specs u could build wanted to know ur opinion how much relevant u think it would because it makes sense if laptop is heavy battery hungry but what about efficient laptops which do u think is more pleasing Remote ssh very efficient tablets good screen Or efficient m1 pro laptop
by trhway | 2025-08-28 01:11:40+00:00
Both remind some of those built in the "3-body problem".

My pet peeve is that even at Antikythera times they could have, if they had knowledge, built electronic devices - copper wire needle contact with crystalized molten sand gives you a diode junction, add a wire - transistor, and leather, brine, copper disks - electricity.
by herval | 2025-08-28 01:12:21+00:00
37signals and craigslist are two examples (and they’re open about their engineering being sub-par). If you consider FB products “high quality”, it’s another example (the average FB developer is anything but “high quality”, by most definitions). Palantir is another example, with a horde of junior engineers and famous for bad practices (yet here they are commanding the US military). And so on and so on. The inverse is also true - plenty of stellar teams producing irrelevant or low impact products.
by godelski | 2025-08-28 01:13:30+00:00
If you scroll down a little and see the chip icon, where it says "NVIDIA GB10 Superchip " it also says "Experience up to 1 petaFLOP of AI performance at FP4 precision with the NVIDIA Grace Blackwell architecture."

Further down, in the exploded view it says "Blackwell GPU 1PetaFLOP FP4 AI Compute"

Then further down in the spec chart they get less specific again with "Tensor Performance^1 1 PFLOP" and "^1" says "1 Theoretical FP4 TOPS using the sparsity feature."

Also, if you click "Reserve Now" the second line below that redundant "Reserve Now" button says "1 PFLOPS of FP4 AI performance"

I mean I'll give you that they could be more clear and that it's not cool to just hype up on FP4 performance, but they aren't exactly hiding the context like they did during GTC. I wouldn't call this "disingenuous"
by syntaxing | 2025-08-28 01:13:56+00:00
While a completely different price point, I have a Jetson Orin Nano. Some people forget the kernels are more or less set in stone for product like these. I could rebuild my own Jetpack kernel but it’s not that straight forward to update something like CUDA or any other module. Unless you’re a business where your product relies on this hardware, I find it hard to buy this for consumer applications.
by dangus | 2025-08-28 01:14:00+00:00
> Government involvement in private business almost always ends badly.

I don't say this to argue with the author or try to refute anything they are saying, but this bit toward the end is a very interesting position that I think displays the level of anti-regulation, anti-taxation, anti-government propaganda we are bombarded with by corporations.

People just kind of assume that the government can't function or work with private enterprise in any way when it does that all the time.

China is the elephant in the room of a counterexample. Who built the largest high speed rail network in the world and who owns them? Or how about the US military industrial complex? Or how about SpaceX? What about the time when the US government ordered factories to build Jeeps in WW2?

I don't really agree with...well...anything that the current administration is doing, but owning part of Intel isn't really horrendous. The horrendous part is that it came out of nowhere with apparently no congressional appropriation of funds/approval of such an endeavor.
by gcanyon | 2025-08-28 01:14:32+00:00
Two minutes in and I have:

1. Figured out how to create circles -- sort of, by deleting and allowing it to recreate them 2. Figured out how to set the diameter of circles by dragging the point on their circumference -- choosing a radius in the search box doesn't seem to work 3. Figured out that small circles aren't possible -- both in NYC and SF I had to drag the center of the circle out into the ocean to get a circle limited to the airports I was interested in 4. Seen the sign-in/ads dialog twice 5. Gave up on actually trying it out.
by rvz | 2025-08-28 01:14:53+00:00
> Don't most of the benefits just come down to using a statically typed and thus compiled language? Be it Java, Go or C++; TypeScript is trickier, because it compiles to JavaScript and inherits some issues, but it's still fine.

Yes. The type systems of these modern compiled languages are more sound than anything that Javascript and Typescript can ever provide.

Anyone using such languages that have a totally weak type system and a dynamic typing system as well is going to run into hundreds of headaches - hence why they love properly typed-systems such as Rust which actually is a well designed language.
by icedchai | 2025-08-28 01:16:16+00:00
Same. With so few reports, those "managers" don't have much to do, so they invent nonsense and start aggravating the actual people doing the work. In one case, the guy was totally not receptive to my feedback about the performance issues of other team members. "I'll talk to him."... and literally did nothing. I was more experienced than everyone on the team, including the "manager." He's gone now.
by cherioo | 2025-08-28 01:16:17+00:00
The mainstream options seem to be

Ryzen AI Max 395+, ~120 tops (fp8?), 128GB RAM, $1999

Nvidia DGX Spark, ~1000 tops fp4, 128GB RAM, $3999

Mac Studio max spec, ~120 tflops (fp16?), 512GB RAM, 3x bandwidth, $9499

DGX Spark appears to potentially offer the most token per second, but less useful/value as everyday pc.
by hn_throwaway_99 | 2025-08-28 01:16:26+00:00
I'm curious, what did the management part of the TLM role entail?

As someone who used to be an engineering manager, I was always surprised at how inefficient the division of responsibilities seemed to me. I mean, when I was an eng. manager, a substantial portion of my time was just taken up by logistics - like when we did a move to a new office building, a huge time sink was stuff like seating charts. Perhaps a company as big as Google has more folks taking care of stuff like this, but I still think the following breakdown makes sense:

1. A "technical mentorship" role: someone who codes, but is also explicitly responsible for skills growth and technical feedback of ~5 junior engineers. This person would not be responsible for stuff like salary/raise negotiations, promotion decisions (but would obviously feed into that, more on that below), logistics questions, etc.

2. A "directing manager" (obviously that name kind of sucks, but I didn't want to confuse this with other "director" or "manager" terms). This person explicitly does not need any technical skills. They are responsible for all logistics/salary negotiations, etc. They would be responsible for around ~5 technical mentors, so then up to 25 people under that. Promotion decisions, for example, would be made amongst the 5 technical mentors, deciding who on the team is most deserving to move up. But then the actual salary decision would be made by this "directing manager".

I'm sure this could be tweaked, but the overall idea is to separate technical vs. non-technical skill sets more efficiently.
by webninja | 2025-08-28 01:17:12+00:00
From my understanding, these funds were already approved by the Biden Administration via the Chips act and another. Our president managed to obtain 10% of the shares for this money that was already going to intel in exchange for removing a clawback provision stipulated by the Chip’s act.

Norway has an incredible sovereign wealth fund that funds many benefits for its citizens. Perhaps if the Intel dividends are used for social security benefits, there will be bipartisan cheering.
by const_cast | 2025-08-28 01:18:07+00:00
> You know from past experience (very expensive experience) that fraud can happen from attested devices, but it’s about 10,000 times more common from rooted devices.

1. I don't believe this research - measurement is hard. If we just consider using an unattested device as malicious, as we do now with the play integrity API, then you fudge the numbers.

2. Even IF the research is true, relative probability is doing the heavy lifting here.

There's still going to be more malicious attempts from attested devices than those unattested. Why? Because almost everyone is running attested devices. Duh.

Grandma isnt going to load an unsigned binary on her phones. Let's just be fucking for real for one second here.

No, she's gonna take a phone call and write a check, or get an email and go to a sketchy website and enter her login credentials and then open the investable 2FA email and then enter the code she got into the website. Guess what - you don't need a rooted device for that. You just don't.

There are extremely high effort malicious attempts, like trying to remotely rootkit someone's phone, and then low effort ones - like email spam and primitive social engineering.

You guess which ones you actually see in the wild.

Is there a real threat here? Sure. But threat modeling matters. For 99.99% of people, their threat model just does not involve unsigned binaries they manually loaded.

Why are we sacrificing everything to optimize for the 0.01%? When we havent even gotten CLOSE to optimizing the other 99.99%?

Isn't that fucking stupid? Why yes, yes it is.
by BoorishBears | 2025-08-28 01:19:29+00:00
No. These are practically useless for AI.

Their prompt processing speeds are absolutely abysmal: if you're trying to tinker from time to time, a GPU like a 5090 or renting GPUs is a much better option.

If you're just trying to prep for impending mainstream AI applications, few will be targeting this form factor: it's both too strong compared to mainstream hardware, and way too weak compared to dedicated AI-focused accelerators.

-

I'll admit I'm taking a less nuanced take than some would prefer, but I'm also trying to be direct: this is not ever going to be a better option than a 5090.
Show HN: Open-Source] Deep Research Assistant Built Solely for Gemini API
by zyakita | 2025-08-28 01:19:59+00:00
Hi everyone,

I've been working on an open-source project called Deep Research OSS and would love to get some feedback from the community.

I was frustrated by AI research tools that only performed a single/double-pass search and often missed important details.

To solve this problem, I built a multi-agent pipeline that mimics how a human team works.

First, it creates a broad plan. Then, it uses agents to conduct research. Finally, it has another agent perform a gap analysis to identify missing information and assign new tasks to dig deeper. Additionally, to avoid errors, AI is forced to use code execution for all numbers in the report.

The whole thing is built specifically for the Gemini API to see how far it can be pushed. I've been using it for my own stock analysis, and the iterative process seems to generate much more comprehensive reports.

It's still a work in progress, and I'm sure there are better ways to approach this. I'm looking for contributors and feedback to improve the pipeline and make it more robust.

If you're interested in multi-agent systems or just want to help build a better research tool, you can check out the repo.

https://github.com/zyakita/gemini-deep-research-oss
by x2tyfi | 2025-08-28 01:20:21+00:00
You’re almost always going to bottleneck on your home internet or upstream ISP, rather than this local interface. That being said, you aren’t going to be waiting too long either way, depending on download speed. Deepseek R1 is 671GB. Multiply by 8 to get into bits: 5368Gb At full 10gbps (which, again, you probably won’t get): 5368Gb / 10gbps = 537 seconds to download 537s / 60 = 8.95 minutes. Call it 10m with overhead.
by venusenvy47 | 2025-08-28 01:20:53+00:00
I'd like to watch this documentary. Do you know the year and/or channel where you saw it? The antenna is focused with a tremendous amount of gain towards a spot in the sky, and provides a very significant amount of rejection to signals in all other directions. I can't see how you would get a signal at 1.42 GHz from a watch or flashlight. Harmonics from something like a walkie talkie only occur when the radio is transmitting, and they would spread in bandwidth at each successive harmonic. It would have to be an extremely narrow fundamental frequency, with no audio signal on it, to get a signal with less than 10 kHz at 1.42 GHz.
by aidenn0 | 2025-08-28 01:22:38+00:00
> This then-novel construction technique allowed the building to go up at a record speed of one floor per week; a billboard on-site proudly recorded the time each floor took.

The Empire State Building is 102 floors (not including the 200 foot pinacle on top) and was completed in about 78 weeks (including interior finishing), so I'm not sure the math works out here.

The CBR building is 9 floors and took about twice as long as the Empire State Building to build.
Show HN: AI-powered video analysis tool that generates 800 word content prompts
by reverseCh | 2025-08-28 01:23:12+00:00
Hey HN! I've built Video-2-Prompt, an AI tool that converts videos into detailed content prompts.

*What it does:* - Analyzes videos (MP4, MOV, AVI, WebM) and platform URLs (YouTube, TikTok) - Generates 600-800 word professional analysis reports - Provides insights on engagement factors and content strategy

*Key Features:* - Multi-AI integration with intelligent fallback - Deep analysis mode for comprehensive insights - Real-time processing with progress indicators - Platform-agnostic video processing

*Tech Stack:* - Next.js 14, React 18, TypeScript - Serverless architecture (Vercel) - Smart video analyzer with retry mechanisms

*Use Cases:* - Content creators analyzing viral videos - Marketing teams understanding competitor strategies - Researchers converting video content to text

*Live Demo:* https://video2prompt.org

The tool is free to use. I'd love feedback on analysis quality and feature suggestions!
by rcxdude | 2025-08-28 01:23:49+00:00
>e.g. health monitoring would time out making the service seem unresponsive vs 1 highly contended task just waiting on a lock

If anything that's a disadvantage. You want your health monitoring to be the canary, not something that keeps on trucking even if the system is no longer doing useful work. (See the classic safety critical software fail of 'I need a watchdog... I'll just feed it regularly in an isolated task')