MurphyA/hacker-news huggingface dataset:
by TFSFVentures | 2026-02-05 13:30:22+00:00
The challenge of balancing high-resolution detection for small targets with sub-20ms latency on edge compute like the Qualcomm QRB5165 is a classic one in real-time CV. We've seen this exact scenario before, especially when dealing with fast-moving, erratic targets and the need for precise guidance. This usually comes down to optimizing the inference pipeline and potentially rethinking the sensor fusion or tracking strategy. Happy to offer a sanity check on your proposed architectural paths (Static Tiling vs. Dynamic ROI) if it helps, as there are typically two or three things causing these bottlenecks.
by paodealho | 2026-02-05 13:30:45+00:00
Back in the XP days if you let your computer for too much time on the hands of an illiterate relative, they would eventually install something and turn Internet Explorer into this https://i.redd.it/z7qq51usb7n91.jpg.

Now the security implications are even greater, and we won't even have funny screenshots to share in the future.
by chadash | 2026-02-05 13:31:05+00:00
The problem is that OpenClaw is kind of like a self driving car that works 90% of the time. As we have seen, that last 10% (and billions of dollars) is the difference between Waymo today and prototypes 10 years ago.

Being Apple is just a structural disadvantage. Everyone knows that open claw is not secure, and it’s not like I blame the solo developer. He is just trying to get a new tool to market. But imagine that this got deployed by Apple and now all of your friends, parents and grandparents have it and implicitly trust it because Apple released it. Having it occasionally drain some bank accounts isn’t going to cut it.

This is not to say Apple isn’t behind. But OpenClaw is doing stuff that even the AI labs aren’t comfortable touching yet.
by threethirtytwo | 2026-02-05 13:32:01+00:00
What I read is the unlimited token count. You get the most out of this when having it run on an autonomous loop where your interaction is much more minimal? But pinging the thing every minute in a loop is going to terminate your token limit so running the LLM locally is the way to get infinite tokens.

The problem is local models aren't as good as the ones in the cloud. I think the success stories are people who spent like 2-4k on a beefy system to run OpenClaw or these chatbots locally.

The commands they run are, I assume like detailed versions of prompts that are essentially: "build my website." "Invest in stocks." And then watch it run for days.

When using claude code it's essentially a partnership. You need to constantly manage it and curate it for safety but also so the token count doesn't go overboard. With a fully autonomous agent and unlimited token count you can assign it to tasks where this doesn't matter as much. Did the agent screw up and write bad code? The point is you can have the system prompt engage in self correction.
by davidwritesbugs | 2026-02-05 13:32:26+00:00
When I was a boy into electronics the one thing that always stymied me designing circuits was how to make an inductor of the right value. I can't recall these many decades why but I needed to make ones of a value and you couldn't specify "xuH" to a component supplier, like resistors or capacitors, but nor was there any resource to say "x turns of y gauge wire" etc. It was all a black art to a 12 year old in the early 70s.
by sReinwald | 2026-02-05 13:33:20+00:00
> But can't you do the same just using appropriate MCP servers with any of the LLM providers?

Yeah, absolutely. And that was going to be my approach for a personal AI assistant side project. No need to reinvent the wheel writing a Todoist integration when MCPs exist.

The difference is where it runs. ChatGPT Tasks and MCP through the Claude/OpenAI web interfaces run on their infrastructure, which means no access to your local network — your Home Assistant instance, your NAS, your printer. A self-hosted agent on a mac mini or your old laptop can talk to all of that.

But I think the big value-add here might be "disposable automation". You could set up a Home Assistant automation to check the weather and notify you when rain is coming because you're drying clothes on the clothesline outside. That's 5 minutes of config for something you might need once. Telling your AI assistant "hey, I've got laundry on the line. Let me know if rain's coming and remind me to grab the clothes before it gets dark" takes 10 seconds and you never think about it again. The agent has access to weather forecasts, maybe even your smart home weather station in Home Assistant, and it can create a sub-agent, which polls those once every x minutes and pings your phone when it needs to.
by couscouspie | 2026-02-05 13:33:31+00:00
That's not a factual statement over reality, but more of a normative judgement to justify resignation. Yes, professionals that know how to actually do these things are not abundantly available, but available enough to achieve the transition. The talent exists and is absolutely passionate about software freedom and hence highly intrinsically motivated to work on it. The only thing that is lacking so far is the demand and the talent available will skyrocket, when the market starts demanding it.
by gushogg-blake | 2026-02-05 13:33:34+00:00
One of the things that made me think of doing this was Nat Friedman's (GitHub co-founder) project, PlasticList[1].

The idea was to give consumers real-world data to inform their decisions around avoiding/minimising microplastics. Some sources are orders of magnitude worse than others, so this potentially allowed people to eliminate a large portion of their exposure by just avoiding the products with the largest amounts.

This was a project that someone wanted to happen and was willing to pay for, but for whatever reason wasn't being done by the usual institutions (universities, governments).

The idea of this post is to give people who have money a way to find out about other projects that fit this shape, so they can fund them.

1: https://www.plasticlist.org/
by mattstir | 2026-02-05 13:34:18+00:00
This just seems like the logical consequence of the chosen system to be honest. "Skills" as a concept are much too broad and much too free-form to have any chance of being secure. Security has also been obviously secondary in the OpenClaw saga so far, with users just giving it full permissions to their entire machine and hoping for the best. Hopefully some of this will rekindle ideas that are decades old at this point (you know, considering security and having permission levels and so forth), but I honestly have my doubts.
by seanhunter | 2026-02-05 13:34:38+00:00
You understand how present value works right? Holding a loan on balance sheet generates a stream of income that extends into the future and has to be discounted and have credit value adjustments applied, which is very expensive because you have to then hedge the rate and credit risk on top of funding the actual loans themselves. Selling a loan has two benefits over this. Firstly it generates actual cash now which you can book right away and is real so doesn't need to have CVA and discounting. Secondly it gives you a mark to market price for any piece of the loan or similar loans which you are still holding in your book.

I'm not speaking theoretically here - I have been forced to sell loans for capital reasons because they were too expensive to fund even though they were all current, 100% money good and massively overcollateralized.
by mohsen1 | 2026-02-05 13:35:08+00:00
I thought about this quite a bit. There are some nuggets in the open source code:

- vX.X.1 releases. when software was considered perfect but author had to write a fast follow up fix. very real bugs with real fixes

- Reverts. I'm sure anyone doing AI code review pays attention to this already. This is a sign of bad changes, but as important.

- PRs that delete a lot of code. A good change is often deleting code and making things simpler
by rustyhancock | 2026-02-05 13:35:13+00:00
I have a few cron jobs that basically are `opencode run` with a context file and it works very well.

At some point OpenClaw will take over in terms of it's benefits but it doesn't feel close yet for the simplicity of just run the job every so often and have OpenCode decide what it needs to do.

Currently it shoots me a notification if my trip to work is likely to be delayed. Could I do it manually well sure.
by falcor84 | 2026-02-05 13:35:15+00:00
This was a very interesting ethnographic analysis, and I liked this part in the end:

> If AIs are going to act weird, I hope we get to see them act weird when they’re still silly lobster-Redditors that can be shut down easily, and not when they’re AGI/TAI/ASI/whatever. Moltbook is mostly fake. But as Kurt Vonnegut said, “Be careful what you pretend to be, because you are what you pretend to be.”

Regardless of whether AIs "really" think and feel these things, I believe that there's a lot here we can learn about AIs, humans sociology, or both.
by xylo | 2026-02-05 13:35:22+00:00
Difference is that openclaw is not LLM but engine that spawns up agent that interact with LLM and the system its installed on.

It can have full access to the system it’s running on. So it can browse internet via browser, run cli commands, api’s via skills etc.

Idea is to act like a Jarvis personal assistant. You tell what to do via chat e.g telegram, then it does it for you.
Show HN: Open-source tech interview roadmap and study plans
by 0x0003r | 2026-02-05 13:36:42+00:00
I built an open-source roadmap to help engineers prepare for technical interviews at any level (Junior to Senior+).

The repository aggregates resources into a structured format:

Study Plans: Time-based roadmaps (3-6 months) for different experience levels.

Role Guides: Specific paths for Backend, ML, Data, and DevOps engineering.

Problem Database: 1,400+ LeetCode problems tagged by company frequency and difficulty.

Company Playbooks: Specific notes for 200+ companies (FAANG, Fintech, Enterprise).

I also built a static site (using Astro) for better readability: https://roadmap.swadhin.cv

It is free, open source, and intended to be a practical reference rather than a paid course. Feedback is welcome.
by lxgr | 2026-02-05 13:36:42+00:00
For the concern of making tags harder to clone: Cheap contactless tags usually don’t support asymmetric cryptography (not even ECC), so this would significantly increase the BOM.

If the tags only carry the keys as storage media instead of using them for authentication, all cloning considerations apply again.

For not allowing playback of user files, this would be doable since the SoC is presumably freely programmable, but now you’re facing another problem:

Do you use one global key (then only one compromised projector is enough to break the entire system and the economics), or do you use a per-device key, which requires installing these keys at manufacturing time and individually recording each SD card?

Real-world defense is really not as trivial as the armchair security blogger perspective suggests.
by rafram | 2026-02-05 13:37:12+00:00
But this could be done for 1/100 the cost by only delegating the news-filtering part to an LLM API. No reason not to have an LLM write you the code, too! But putting it in front of task scheduling and API fetching — turning those from simple, consistent tasks to expensive, nondeterministic ones — just makes no sense.
by pjc50 | 2026-02-05 13:37:29+00:00
We're a bit far down in the thread, but I'd be interested in knowing why this alleged outflow of cheap yen didn't keep pushing the currency down. It's been flattish in the 100-150 band for decades.

I had to fact check the Japan having most treasuries, it's true, see this chart: https://economicsinsider.com/top-15-largest-us-treasury-hold...

As an aside, the presence of "Luxembourg" and "Grand Cayman" on that chart is a bit of a tipoff as to how the global economy works.
by tekacs | 2026-02-05 13:37:55+00:00
I did say all the model. :)

Yes I've tried Parakeet v3 too. For its own purpose - running locally - it's amazing.

The thing that's particularly amazing about this Voxtral model is how incredibly rock solid the accuracy is.

For the longest time previous models have been 'mostly correct' or as people have commented elsewhere on this HN thread, have dropped sentences or lost or added utterances.

I have no affiliation with these folks, but I tried and struggled to get this model to break even speaking as adversariately as I could.

That's a totally different class of model.
by tremon | 2026-02-05 13:38:05+00:00
No, not currently -- since the start of computers. This is quite literally part of Computing 101; see https://web.stanford.edu/class/cs101/lecture02.html#/9 , slides 10-12.

You can ask your favourite search engine or language fabricator about the differences between RAM and disk storage, they will all tell you the same thing. Frankly, it's kind of astonishing that this needs to be explained on a site like HN.
by lurk2 | 2026-02-05 13:38:33+00:00
> "it's just TARP fraud" is an idiotic thing to say

Some people might consider it idiotic to post 3 broken links to articles they clearly haven’t read; others would simply consider it obnoxious.

> the fraud was in misrepresenting the banks' positions prior to the crash during the TARP audit.

TARP fraud wasn’t what caused the crisis. The popular narrative is that the credit rating agencies failed to do due diligence because they were making a lot of money handing out high ratings on junk CDOs. So far as I know, no one involved in this went to jail. People were angry about the events that led up to the crisis not being punished; most probably didn’t even know about the fraud that went on with the program set up to bail out the banks after the fact.
by mbreese | 2026-02-05 13:39:47+00:00
I think this is a really good take, and not one I’ve seen mentioned a lot. Pre-Internet (the world Microsoft was started for), the man expense for a software company was R&D. Once the code was written, it was all profit. You’d have some level of maintenance and new features, but really - the cost of sale was super low.

In the Internet age (the likes of Google and Netflix), it’s not much different, but now the cost of doing business is increased to include data centers, power, and bandwidth - we’re talking physical infrastructure. The cost of sale is now more expensive, but they can have significantly more users/customers.

For AI companies, these costs have only increased. Not only do they need the physical infrastructure, but that infrastructure is more expensive (RAM and GPUs) and power hungry. So it’s like the cost centers have gone up in expense by log-units. Yes, Anthropic and OpenAI can still access a huge potential customer base, but the cost of servicing each request is significantly more expensive. It’s hard to have a high profit margin when your costs are this high.

So what is a tech company founded in the 1970s to do? They were used to the profit margins from enterprise software licensing, and now they are trying to make a business case for answering AI requests as cheaply as possible. They are trying to move from low CapEx + low OpEx to and market that is high in both. I can’t see how they square this circle.

It’s probably time for Microsoft to acknowledge that they are a veteran company and stop trying to chase the market. It might be better to partner with a new AI company that is be better equipped to manage the risks than to try to force a solo AI product.
Show HN: stable_pydantic – catch Pydantic schema breakage in two tests
by QuartzLibrary | 2026-02-05 13:40:17+00:00
Hi HN!

If you persist your pydantic models (db, cache, queues, config, ...), a schema change can quietly break deserialization.

To help with this, stable_pydantic:

- tests for backward compatibility (new client reads old data)

- is easy to run on CI (just normal tests)

- Stores schemas as Python files (easy to review/diff)

- optionally, tests for forward compatibility (old client reads new data)

- optionally, version-tags the data and handles migrations transparently

To setup, just copy a couple of tests from the README.

You can also adopt it incrementally, starting from just committing a copy of the models in a single file for easy diffing.

It does not cover custom validation logic, only model structure and built-in validation.

Let me know if you end up trying it, and of course if you spot any issues!
by Anon1096 | 2026-02-05 13:40:35+00:00
No it's because lots of stuff is duct taped together and then you have tons of scripts or tooling that was someone's weekend project (to make their oncall burden easier) that they shared around. Usually there'll be a flag like --clowntown or --clowny-xyz when it's obvious to all parties involved that it's destined to destroy everything one day but YOLO (also a common one).
Ask HN: Any Recommended Alternative to Wappalyzer?
by Kuraptka | 2026-02-05 13:40:45+00:00
Is there a tool (open source preferably or inexpensive) that can show me the entire tech stack of a company?

Wappalyzer works great for finding what javascript or css frameworks a company uses (i used to depend on it a lot when i owned a web agency) but it doesnt do a good a job at detecting the infrastructure a company uses. Like if they use Grafana or Snowflake or ChatGPT APIs.

Has anyone here built such a tool before? Again, something preferably open source :)
by TFSFVentures | 2026-02-05 13:41:09+00:00
This is a classic operational pain point, especially with critical background processes like backup scripts, data processing, and report generation. We've seen this exact scenario before where systems report 'success' but the actual output is flawed – empty files, incomplete records, or mismatched counts. This usually comes down to a gap between execution status and data integrity validation. Happy to offer a sanity check on how you're currently approaching this, as there are typically a few robust patterns for catching these 'silent failures' without embedding complex monitoring logic directly into every script.
by gnz11 | 2026-02-05 13:41:45+00:00
> management simply doesn't want to be responsible for it

The problem with this kind of thinking is that it strips away all nuance. At some point you have to be responsible for something ... otherwise you don't have a business. You are simply a wrapper around your SaaS providers and tightly coupled to their success. The key is knowing when to offload and when to keep it in house. Quite frankly, your average weekend MBA VP simply doesn't have the expertise to make these kinds of decisions. This is why so many VPs exit before things get bad.
by sdellis | 2026-02-05 13:41:52+00:00
Anger also comes from many retirees whose retirement savings tanked. Everyday people lost a lot of money, many their homes, and no one bailed them out. It appears to many that those responsible were above the law. It's the same reason people are furious about the Epstein Files, where the only person in jail for what happened is a woman. We see our neighbors dragged out of their houses or cars without a warrant because they don't look "white" and may have committed the misdemeanor of not having proper documentation. And yet, not a single CEO was held accountable for far worse crimes committed -- in fact, they kept their bonuses! These people recklessly inflicted a huge amount of pain on the public, through lost investments, millions of people losing their homes, most young people not being able to buy homes, and creating an even greater divide between the 1% and the rest of us. It is truly weird to read comments that seem to defend them.
by tacostakohashi | 2026-02-05 13:41:54+00:00
I find there is a lot of value in quick and dirty capture and storage of records in good old fashioned files and directories (that re synced, backed up, etc):

things/thing/2026-02-02-shipping-tracking-number.pdf

things/thing/2026-01-12-before-photo.jpg

things/thing/2026-01-10-scan-of-diagram-sketch.jpg

... etc, just capture all the artifacts this way, be they photos, scans of handwritten notes, print-to-pdf of website orders / confirmation numbers, invoices / receipts, instruction manuals, whatever.

99% of the time, its not needed in the future, 1% of the time, it's a big deal, and in those case you can then analyze what was captured into some more useful summarized notes, spreadsheets, as needed.

Understanding this asymmetry is important, you want a system where it is mostly effortless to capture and store raw artifacts as-is, and it doesn't matter if it takes a few hours to analyze things from one place later as needed. If you have the original artifacts that's a few hours of busywork, if the artifacts don't exist... it's impossible.
by TFSFVentures | 2026-02-05 13:41:59+00:00
This sounds like a classic engineering bottleneck where the existing local development environment isn't scaling to meet the demands of new tooling, especially with the introduction of AI agents. We've seen this exact scenario before where teams hit a wall with local resource limitations when trying to integrate more advanced workflows. There are typically a few paths to address this, often involving a hybrid approach to development environments.
by kamrannetic | 2026-02-05 13:42:28+00:00
Location: India

Remote: Yes

Willing to relocate: Yes

Technologies:

Frontend - React, Nextjs, Tanstack Start, Astro, TailwindCSS, Shadcn

Backend - NodeJS, Go, Rust, Postgres, Redis, Temporal, Inngest, Happyflow (my own durable execution engine, soon to be relesed)

Infra - AWS, Kubernetes (leapocr.com runs in my self managed cluster), CICD, Docker, Postgres extensions

LinkedIn - https://www.linkedin.com/in/kamrantahir2/

Portfolio - https://kamran.sh/

Blog - https://saybackend.com/

Github - https://github.com/spa5k

Email: hello@kamran.sh

I’m a senior software engineer with all sorts of experiences including frontend, backend, devops, from building greenfield applications to deploying them to AWS, or Kubernetes, or maintaining enterprise codebase, and have also dabbled on building leapocr.com and a lawyer chatbot/knowledgebase a bit like Harvey from scratch (not using any chat template) with RAG, BM25, Citations, etc.

Looking for a full time position as my next job where I can take responsibility of things end to end and perfect my art.
by Hoppp_ | 2026-02-05 13:43:23+00:00
I think there’s often a gender difference here, picture the (very) stereo-typical “blabbering wife” scene.

When we’re driving, my girlfriend will often talk about her day, walking me through her thoughts and feelings, while I just want to zone out after work. We used to get annoyed at each other when I didn’t want to listen.

Eventually, we talked about it and realized what was going on. She needs to process her day out loud, and I need silence to decompress. So now I’ll just tell her, “I’m not really going to be listening fully right now,” and she’ll talk anyway. It’s become a routine, one I actually enjoy now, because there’s no pressure to keep up or respond perfectly.

Would it be better for her if I used this technique of active listening constantly? Sure. But it'd take a lot of effort from me that I just simply dont have driving home from work.
by cooperadymas | 2026-02-05 13:43:27+00:00
AFAIK this does not exist yet for the RMPP. It would be a nice addition and I would guess that they release something eventually.

If you are generally happy with the RM2 then the form factor is probably the only reason to upgrade or swap that ends up being worth it. Most Best Buys carry Remarkables and offer an opportunity to feel it before deciding.
by lizknope | 2026-02-05 13:44:02+00:00
MS wants control and they will figure out some way to monetize that control. Whether it is using the data stored in the cloud for AI training or something else.

If you want control then install Linux or get a Mac. I installed Linux in 1994 and I've got about 15 Linux computers and 2 Macs. My single windows VM gets booted about once a month if that often.