MurphyA/hacker-news huggingface dataset:
by foxglacier | 2026-01-29 04:12:03+00:00
About a decade ago, Musk said he wanted to kickstart the electric car industry, make electric cars cool by showing they can be high performance and promising not to enforce Tesla's patents against competitors. Remember how electric cars used to be perceived? The Simpsons put it as "people will think you're gay". I'd say he completely succeeded in that goal and the whole "make piles of money for investors" is just because investors decided to try doing that.
by chainbuilder | 2026-01-29 04:12:28+00:00
You can now see when NFT volume is real — and when it’s likely manufactured.

Example from the last 7 days:

“Suspicious Collection”
• Wash Trading Score: 87% fake volume
• 26 of 30 transfers flagged
• Repeated round-trips between the same wallets
• Multiple NFTs traded by the same wallet pair
Result: Likely artificial volume — avoid.
Versus:
Bored Ape Yacht Club
• Wash Trading Score: 2%
• Normal trading patterns
• Clean activity
Why this matters:

• Exposes fake volume
• Protects buyers from manipulated collections
• Adds trust to on-chain data
• Makes NFT analysis actually actionable

Real markets need real signals.
by hattmall | 2026-01-29 04:13:11+00:00
Ok, Ok, I get the disdain for middle management. It's basically exactly like you described, but middle management didn't come about for no reason. There really is a value and the idea of automating it away with AI is extremely dubious.

One could even argue that middle management is THE most critical role in corporations over a certain size. In that it is the glue that allows them to get to that size. But it's also what gave rise to things like Dilbert and the idea of rising to the level of your own incompetence.

Middle management is like the lug nuts on a wheel. If you start with 5, you can take one away and be OK, even two and no issues with normal driving. You can go down to two and as long as you aren't hitting large bumps and they aren't adjacent you mostly likely will be fine for a short trip. You could even remove ALL of the lug nuts and if you travel in straight line over a smooth road you can still drive.

After all they mostly just sit there, the tire, the transmission, all the other parts of the car are doing the work. But it's not fair to say that any of the removed lug nuts were doing nothing.

The point of middle management isn't really to do anything spectacular on a daily basis. If the company is working well, middle management effectively has no function. It's when things get out of line. Even then though, it's not really middle management that's calling the shots or fixing the problem, but they are critical in noticing the problems and directing resources. Middle management's role is in reducing the time that things are out of line.

At least that's the idea, and much like any position, the bulk of the group benefits are overwhelmingly produced by the groups most effective producers.

Middle management is the hardest role to hire while simultaneously being the hardest to gauge employee effectiveness.
by qwertyuiop_ | 2026-01-29 04:13:14+00:00
The said problem statement as described in Amazon 6 pager

Problem Statement
Traditional authentication methods like ID cards, passwords, and physical keys are cumbersome, prone to loss or theft, and inefficient in high-traffic environments. In retail, healthcare, and enterprise settings, these lead to delays, security vulnerabilities, and increased operational costs. Biometric alternatives like facial recognition can raise privacy concerns and vary in accuracy due to lighting or masks. There’s a need for a secure, frictionless system that leverages unique, non-intrusive biometrics while giving users control over their data.
by Der_Einzige | 2026-01-29 04:13:19+00:00
Why is it that there are ZERO truly prosumer LLM front ends from anyone you can pay?

The closest thing we have to an LLM front end where you can actually CONTROL your model (i.e. advanced sampling settings) is oobabooga/sillytavern - both ultimately UIs designed mostly for "roleplay/cooming". It's the same shit with image gen and ComfyUI too!!!

LM Studio purported to be something like those two, but it has NEVER properly supported even a small fraction of the settings that LLMs use, and thus it's DOA for prosumer/pros.

I'm glad that claude code and moltbot are killing this whole genre of Software since apparently VC backed developers can't be trusted to make it.
by Terretta | 2026-01-29 04:16:02+00:00
If you like Obsidian.md but can't quite recommend it for less technical folks, these devs' Craft notes spaces are a great alternative:

https://www.craft.do/

While great for individuals, it's particularly strong out-of-the-box for teams, or even teams of teams with two levels of grouping.

They bring the same ... craft (ahem) ... to the whole product as shown in their Craft Agents or this renderer, with a strong foundation originally started in the Markdown philosophy. Check out the founder's story on their About page for a refreshingly LLM-free backgrounder.
by ninjagoo | 2026-01-29 04:17:18+00:00
Windows has always been a bit of a high-maintenance OS. To keep it running well used to consume a lot of time on a weekly/monthly basis. That went down to almost nothing after I switched to Ubuntu LTS a couple of decades ago. Heard it had gotten a bit better in Winland in the recent past but it appears things are going downhill again.
Show HN: Cuttlefish – 40ns causal consistency using algebra instead of consensus
by yousef06 | 2026-01-29 04:17:45+00:00
Distributed systems usually pay milliseconds for correctness because they define correctness as execution order.

This project takes a different stance: correctness is a property of algebra, not time.

If operations commute, you don’t need coordination.
If they don’t, the system tells you at admission time, in nanoseconds.

Cuttlefish is a coordination-free state kernel that enforces strict invariants with causal consistency at ~40ns end-to-end (L1-cache scale), zero consensus, zero locks, zero heap in the hot path.

Here, state transitions are immutable facts forming a DAG. Every invariant is pure algebra. The way casualty is tracked, is by using 512 bit bloom vector clocks which happen to hit a sub nano second 700ps dominance check. Non-commutativity is detected immediately, but if an invariant is commutative (abelian group/semilattice /monoid), admission requires no coordination.

Here are some numbers for context(single core, Ryzen 7, Linux 6.x):

Full causal + invariant admission: ~40ns
kernel admit with no deps: ~13ns
Durable admission (io_uring WAL): ~5ns

For reference: etcd / Cockroach pay 1–50ms for linearizable writes.

What this is:

A low-level kernel for building databases, ledgers, replicated state machines
Strict invariants without consensus when algebra allows it
Bit-deterministic, allocation-free, SIMD-friendly Rust

This is grounded in CALM, CRDT theory, and Bloom clocks, but engineered aggressively for modern CPUs (cache lines, branchless code, io_uring).

Repo: https://github.com/abokhalill/cuttlefish

I'm looking for feedback from people who’ve built consensus systems, CRDTs, or storage engines and think this is either right, or just bs.
by Der_Einzige | 2026-01-29 04:17:50+00:00
I'll straight up accuse them of on purpose muddying the waters. To get to the point of executing a successful training run like that, you have to count every failed experiment and experiment that gets you to the final training run. They spent well over 100 Million to train this model by that definition, and all definitions which don't include the failed runs up to the successful one at the end are at best disingenuous and at worst outright lies designed to trick investors into dumping Nvidia.

No, deepseek did not spend only 5.5 million for Deepseek V3. No Gemini was not "entirely trained on TPUs". They did hundreds of experiments on GPUs to get to the final training run done entirely on TPUs. GCP literally has millions of GPUs and you bet your ass that the gemini team has access to them and uses them daily. Deepseek total cost to make Deepseek V3 is also in the 100-400 million range when you count all of what's needed to get to the final training run.

Edit: (Can't post cus this site's "posting too fast" thing is really stupid/bad)

The only way I can get reliable information out of folks like you is to loudly proclaim something wrong on the internet. I'm just going to even more aggressively do that from now on to goad people like you to set the record straight.

Even if they only used TPUs, they sure as shit spent orders of magnitude more than they claim due to "count the failed runs too"
by kenhwang | 2026-01-29 04:19:45+00:00
The reason was sillier: China forced Ford to sell Mazda to enter the Chinese market, because Mazda entered the Chinese market before Ford and China considered them the same entity subject to the same outside manufacturer limits).

Mazda handled the small vehicle chassis design for Ford. So without Mazda, Ford no longer had the knowledge for continued development of their sedans and crossovers based on sedan platforms.
by vtail | 2026-01-29 04:20:16+00:00
"HN is dying" is a cliche, I know, but I seriously want to bookmark this thread to revisit it in 10 years - I'm sure it will age even better than (in)famous Dropbox thread. So from that perspective, HN is alive and well :).

The level of cynicism of the discussion is overwhelming, frankly. I get it that some people don't like Musk because of his politics, but why should that prevent people interested in technology to at least try to present a steelman case?

Let me try it, at a risk to be down-voted to oblivion...

1. As people correctly point out, S&X are outdated, low volume models. Investing more engineering time in them doesn't make any business sense; these engineering resources and capital should be clearly redeployed elsewhere.

2. People think that Waymo is supposedly better(?) than FSD, but at least some very well informed people (and NVIDIA as a company) believe that it's not. Personal anecdote: an older (HW3) version of Tesla drove me perfectly well in Yosemite last weekend, in on winding mountain roads with 0 cell phone coverage. It will take Waymo forever to map everything there properly with LIDAR, and true autonomy only in selected metro areas has limited value.

3. It's obvious that when we have autonomous, general purpose humanoid robots, they will completely transform our societies. Any such robots would require an enormous AI/vision investment. Say what you want about Elon, but xAI basically caught up with the top LLM shops in ~18 months, and now have comparable AI training capacity. You can bet against Optimus, but who else would have the skills to bring both the technology and the AI to market first? China? Good robotics, but no enough data to train their vision models comparing to Tesla, at least not yet.

4. So the bear case is that (a) driving autonomy is not possible without LIDAR, (b) Tesla can't bring another very complex product to market, and (c) autonomous robots are not possible in our lifetime. If you look at the AI progress even in the last 12 months, that's a tough sell to me.

What are the serious, tech-based counterarguments to the points above?
by maxkfranz | 2026-01-29 04:21:23+00:00
Yeah, it’s not going to compare to Codex-5.2 or Opus 4.5.

Some non-programming use cases are interesting though, e.g. text to speech or speech to text.

Run a TTS model overnight on a book, and in the morning you’ll get an audiobook. With a simple approach, you’d get something more like the old books on tape (e.g. no chapter skipping), but regardless, it’s a valid use case.
by saimiam | 2026-01-29 04:23:55+00:00
Looks like they took Peter Thiel’s animosity towards competition too literally by blocking BYD from the US market. Without competition, they had no incentive to innovate since they were selling into the wealthiest market in the world for their product, the US.

No innovation made them stagnate. Being blocked from the US made BYD innovate.
by laborcontract | 2026-01-29 04:24:24+00:00
Obviously horrendous but why isn’t this person monitoring his site?

Also, why do people use vercel nowadays? I’m sure there are reasons, but I moved over to railway (you can insert alternative provider here) and I no long f* around trying to fix page load time due to cold starts, I have predictable pricing, and my sites on railway are fast so much faster. Plus, if cost is a factor, railway offers serverless. It’s not as shiny as vercel, but nextjs works perfectly on it.

It astounds me that vercel has positioned themselves as a sanctuary city for normies and yet, the city is littered with landmines and booby traps.
by keepamovin | 2026-01-29 04:24:39+00:00
You can get a sense of his feelings about this how he talks with his wife at the summit afterwards. He says something like "There were lots of people taking pictures and waving. I was chill", indicating he felt he had done well in a situation he had anticipated may have been challenging. THey'd likely discussed this extensively before.

Also, previously through the climb he makes efforts to be deliberate and chooses to interact positively with some of the people. Waving, offering a hand on glass for a high five, making a few jokes at the fans' expense over the headpiece "I offered him a high five. He was too busy on his phone. Kids these days"

My feeling about all this is the presence of many people was something he had rehearsed a lot and decided he was going to stay relaxed and positive about, and that's what he did.

He don't spook easy.
by spyckie2 | 2026-01-29 04:25:02+00:00
What's the point honestly.

Given the pace of current ai, in 2 months dark factories will peak hype and then in another 6 months it will be fully identified in its cost/benefit drawbacks, and the wisdom of the crowds will have a relatively accurate understanding of its general usefulness, and the internet will move on to other things.

The next generation of ai coding will make dark factories legit due to their ability to architect decently. Then generation after will make dark factories obsolete due to their ability to make it right the first time. That's about 8 months out for SOTA, and 14 months out for Sonnet/Flash/Pro users.

No need for them to come out of stealth, just imagine 1000s of junior/mid engineers crammed into an office given vague instructions to build an app and spit out code. Imagine a cctv in the room overlooking the hundreds of desks, and then press fast forward 100x speed.

That's literally what they built, because that's what's possible with Opus.
by gussuarez092 | 2026-01-29 04:25:05+00:00
the color of an animated television character doesn't directly cause or change their actual behavior in the story—like making them more aggressive just because they're red—but it heavily shapes how viewers perceive and interpret that behavior. Animators deliberately use color psychology to match a character's palette to their personality traits: think red for fiery, passionate, or villainous types (like Scar in The Lion King), yellow for cheerful and playful (Minions or SpongeBob), or blue for calm and trustworthy heroes. This isn't the character acting differently because of their hue; it's a visual shorthand that guides the audience's expectations and emotional response right from the first glance, making traits feel more intuitive and the storytelling more effective without needing extra explanation.
by hattmall | 2026-01-29 04:26:11+00:00
Pretty much anywhere being a competent seamstress pays well. The difference between highly skilled and competent is open to interpretation. The difference between being competent and the very basics that can assemble cut and sew patterns is huge though. Pretty much anyone can do cut and sew with like a week of training which is all the mass produced clothes.

But someone who is competent and can do quality alterations, mending, customize patterns etc, is going to make decent money. But I'm pretty sure where ever you live there are seamstress working and making good money.

I'm not even really sure where automation would have impacted being a seamstress. Sewing machines have been around since the 1700's and if anything the demand for textiles has increased more than the speed of production.

Maybe you are thinking more of knitting, which is highly automated and used to be a big job, now it's basically just a hobby.

Blacksmiths just evolved to modern day welders, iron workers, boilermakers etc. Still pays well.
by mindslight | 2026-01-29 04:26:16+00:00
My very rough lay understanding is that life insurance policies can be quite lucrative (maybe because of the tax advantages?), and the main thing that holds back life insurance on arbitrary people from being a general investment strategy is that you need to have some plausible reason why you're interested in someone's lifespan. I have to wonder if this whole thing isn't some giant tax dodge based on taking out small life insurance policies that pay out to the athletes, and much larger ones that pay out to the asset protection strategy of his choice.
by sejje | 2026-01-29 04:26:38+00:00
> Cases are not dismissed based on lack of probable cause.

I must insist that they are.

"Police must have probable cause to arrest you, and when officers lack sufficient facts and circumstances to justify arrest, courts dismiss resulting charges. Arrests based on hunches, profiling, or insufficient information violate Fourth Amendment protections."

One of the first Google results for my search. Several others say the same.

https://collincountylaw.com/blog/top-signs-your-case-might-g...
by aaronbrethorst | 2026-01-29 04:26:41+00:00
I'm not making any specific assertions about what's in Musk's heart. I can draw some conclusions from his behaviors, actions, and words, but that's neither here nor there.

I will say, though, that there is a longstanding tradition, certainly in the United States, of an in group hurting their own material interests to deprive an out group of that same thing. https://www.marketplace.org/story/2021/02/15/public-pools-us...
by Sytten | 2026-01-29 04:27:42+00:00
The key to get better quality AI PR is to add high quality Agents.md file to tell the LLM what are the patterns, conventions, etc.

We do that internally and I cant overstate how much better the output is even with small prompts.

IMO things like "dont put abusive comments" as a policy is better in that file, you will never see comment again instead of fighting with dozen of bad contributions.
by Uehreka | 2026-01-29 04:28:43+00:00
> That will change real quick if everyone loses their job to AI.

No, this is exactly my point: they will be angry, unreasonable, and thirsty for revenge. They’ll hand over freedoms like Halloween candy. How about a law where the government gets to survey your hard drive to make sure you’re not harboring an AI model? Sounds crazy, sounds insane, but in the current political climate I’d rate it more likely than UBI.
Show HN: DreamsJar – A visual savings goal tracker for iOS
by zakmcintyre | 2026-01-29 04:29:54+00:00
Hey HN, I built DreamsJar as a solo project. It's a native SwiftUI app for tracking savings goals visually — you create "jars" for things you're saving toward and log deposits as you go.

The idea came from wanting something simpler than a spreadsheet but more tangible than just watching a bank balance. I wanted saving to feel like progress, not just math.

How it works:
- Create a jar for a goal (vacation, new
laptop, whatever)
- Set a target amount and timeline
- Log deposits and watch the jar fill up
- Hit milestones at 10%, 25%, 50%, 75% with
little celebrations

Built with Swift/SwiftUI and SwiftData. Free tier gives you one goal.

Premium ($3.99/mo or $49.99 lifetime) unlocks unlimited goals, iCloud sync, custom reminders, and deposit history.

Some technical decisions I found interesting:
- Used SwiftData with an explicit Application
Support store path for CloudKit
compatibility
- Streamlined onboarding from 11 taps to ~6
taps to create a first goal after user
testing showed drop-off
- Had to move away from async/await in some
Settings views to avoid @MainActor deadlock
— ended up using callback-based APIs with
deferred loading instead

Happy to answer questions about the build, SwiftUI/SwiftData pain points, or the App Store review process.
by catlifeonmars | 2026-01-29 04:30:39+00:00
This tool looks like it unconditionally disables tls verification for upstream requests.

It shells out to mitmproxy with
"--set", "ssl_insecure=true"

This took all of 5 minutes to find reading through main.py on my phone.

https://github.com/jmuncor/sherlock/blob/fb76605fabbda351828...

Edit: In case it’s not clear, you should not use this.
by ethbr1 | 2026-01-29 04:32:31+00:00
> bad actors quickly realized this is a force multiplication factor for them

You'd think we would have learned this lesson in failing to implement email charges that net'd to $0 for balanced send/receive patterns. And thereby heralded in a couple decades of spam, only eventually solved by centralization (Google).

Driving the cost of anything valuable to zero inevitably produces an infinite torrent of volume.
by ninjagoo | 2026-01-29 04:34:19+00:00
> I might be starting down the path of introducing Linux to family members soon. I need to make sure I have enough spare time for the initial 'speed hump' of transition questions...

The first couple of months are high touch after the switch. After that it's usually just smooth sailing for years. Much less work support-wise.

Been that way for my family and friends.
by vtail | 2026-01-29 04:34:58+00:00
Hard to tell whether you are serious or sarcastic, but assuming it's the former: my contrarian position on CC vs SaaS is that in the quest to kill shitty businesses people will discover that creating a high-value SaaS is very non-trivial. CC would kill a whole category of low effort SaaS while at the same time substantially raising the quality bar for SaaS that people are willing to pay money for.
by chongli | 2026-01-29 04:35:21+00:00
The AAA game industry as a whole has encouraged this mentality in gamers. They make games which are basically movies that you have to put a bit of work into to watch. The concept of virtuous struggle and overcoming challenge -- which used to be the default in arcade games or consoles like the NES -- has been relegated to niche categories.

I agree with you though. The idea of having my sudoku puzzle spoiled for me by giving me a critical digit seems totally alien. They might as well be the kid blurting out answers in math class, depriving everyone else of learning. Of course many kids in the class were happy to have the "freebies" even though it contributed to lack of skills down the road.
by gussuarez092 | 2026-01-29 04:35:53+00:00
This is the effect of AI on the labor market; it's a slow but sure transition underway at today's tech giants, replacing human labor with a synthetic neural network that executes thousands of processes simultaneously. An example of this is Xiaomi's new cell phone factory in China, which operates without human presence.

https://www.convergence-now.com/technology/xiaomi-fully-auto...