MurphyA/hacker-news huggingface dataset:
by lambdaone | 2026-01-23 08:30:53+00:00
But it's not you, it's everyone. And some people will be swayed even by that 10 to 20 cents. Put them all together, and you have a substantial "virtual battery" capacity, and all you need to do it is to make sure people have price awareness.

Don't knock small gains like this. Even a couple of percentage difference is worth having; all the marginal gains add up to make large scale gains.
by clarionbell | 2026-01-23 08:31:44+00:00
Meanwhile European chemical manufacturing is collapsing under weight of record energy costs.[1][2] Most of other manufacturing is somehow tied to chemicals, you can't build things without material after all. So this will feed ongoing industrial collapse, which now affects even Germany.[3]

Meanwhile, low income households are running into financial issues if they want to turn up the heat.[4]

The whole process has been mismanaged at best.

[1] https://cen.acs.org/business/economy/Europes-specialty-chemi...

[2] https://www.reuters.com/business/energy/europes-chemical-ind...

[3] https://en.wikipedia.org/wiki/German_economic_crisis_(2022%E...

[4]https://www.independent.co.uk/voices/heating-eating-energy-b...
by submeta | 2026-01-23 08:31:47+00:00
OT: Has anyone observed that Claude Code in CLI works more reliably than the web or desktop apps?

I can run very long, stable sessions via Claude Code, but the desktop app regularly throws errors or simply stops the conversation. A few weeks ago, Anthropic introduced conversation compaction in the Claude web app. That change was very welcome, but it no longer seems to work reliably. Conversations now often stop progressing. Sometimes I get a red error message, sometimes nothing at all. The prompt just cannot be submitted anymore.

I am an early Claude user and subscribed to the Max plan when it launched. I like their models and overall direction, but reliability has clearly degraded in recent weeks.

Another observation: ChatGPT Pro tends to give much more senior and balanced responses when evaluating non-technical situations. Claude, in comparison, sometimes produces suggestions that feel irrational or emotionally driven. At this point, I mostly use Claude for coding tasks, but not for project or decision-related work, where the responses often lack sufficient depth.

Lastly, I really like Claude’s output formatting. The Markdown is consistently clean and well structured, and better than any competitor I have used. I strongly dislike ChatGPT’s formatting and often feed its responses into Claude Haiku just to reformat them into proper Markdown.

Curious whether others are seeing the same behavior.
by jiggawatts | 2026-01-23 08:32:04+00:00
An “Americanism” I noticed in the show Heroes first but now I see everywhere is that every hero just wants to be normal. Claire Bennet — who’s only special ability is healing — whines about the burden of this for several seasons! Just shut up already! You have what everybody wants and there’s basically no downside! Just put away the costume and get an office job if you want to be a normie.

Conversely, any metahuman that fully maximises their extra abilities is almost invariably labelled as evil. Magneto is the obvious candidate here, but Wolverine is even better: same powers as Claire Bennet but he leans into them… so he’s got to be an anti-hero type.
by mrweasel | 2026-01-23 08:32:06+00:00
Running this on Azure Postgresql, even migrating to CosmosDB, cannot be cheap. I know that OpenAI have to deal/relationship with Microsoft, but still, this has to be expensive.

This is however the most down to earth: How we scale Postgresql I've read in a long time. No weird hacker, no messing around with the source code or tweaking the Linux kernel. Running on Azure Postgresql it's not like OpenAI have those options anyway, but still it seems a lot more relatable than: We wrote our own drive/filesystem/database-hack in Javascript.
by bayindirh | 2026-01-23 08:32:12+00:00
Didn't FCC remove "1-click unsubscribe" requirement since it can "provide more choice and lower prices to all users across the board" (since the companies can rip off more users and create pseudo-lower prices)?

EU has its GPDR and it has some teeth, but US is currently hopeless on that front, for now, from my vantage point.

I'd love to be stand corrected though.
by dboreham | 2026-01-23 08:33:01+00:00
Somehow all this was done seemingly deliberately, as some MBA new hire project at a BigCo. Like how Google kills off half their useful services because nobody in the C suite knows what they're for.

Also, they (the Callahan government) had a plan to bring state of the art semiconductor manufacturing to the UK. Basically TSMC but in Wales. Thatcher killed it.
by InMice | 2026-01-23 08:33:40+00:00
Clicking on folders that you have put in Finders sidebar - It will not display the folder with the view settings set for that folder, but instead the last folder you clicked in the sidebar. It seems to happen clicking from top to bottom vs bottom to top. You just cant make this sh*t up it's so bad.

Example sidebar:

Applications - Always shows as icons

Documents - Shows as icons if you last clicked on applications. Shows as details if last you clicked on Downloads

Downloads - Always shows as details

Finder is the absolute worst we could write a book about it. Once a year or so all my sidebar folders randomly vanish and I have to re-add them.
by contubernio | 2026-01-23 08:33:55+00:00
The abstract seems already highly tendentious. It acts like 90% nonoverlap (whatever that means precisely) between sets A and B is very small overlap, when at a population level it is huge overlap. If the set of yough high performers and the set of adult high performers have 10% overlap, it means that youth high performance is a tremendously good indicator for adult high performance.
by iammjm | 2026-01-23 08:34:17+00:00
I hate to be "that guy", but I think this text was at least partially written by AI:

"This is not a failure. It is how experience operates."

This bit is a clear sign to me, as I am repeatedly irritated by the AI I use that basically almost always defaults to this kind of phrasing each time I ask it something. I even asked it explicitly in my system prompt not to do it
by ErroneousBosh | 2026-01-23 08:34:53+00:00
> and you were able to (somehow?) from the antennas perspective, see the "direction" the frequency was coming from..

You can kind of do that quite easily at low frequencies, by measuring the phase of signals coming in from a pair of aerials. If you put two aerials a quarter of a wavelength apart and switch between them very quickly at audio rate, then you'll get a tone when there's a difference in phase. If there's no tone the two signals are exactly in phase - the two aerials are exactly the same distance from the transmitter.

If you look on some police cars you'll see a group of four aerials about 15cm apart stuck to the roof which used to be used for "Lojack" style trackers.

There are a whole bunch of circuit diagrams floating around for doing this kind of thing, with the simplest being Ye Olde 555 timer and a couple of PIN diodes!
by hobofan | 2026-01-23 08:35:24+00:00
I think the benefit to transportation companies would not just be about salaries, but also about predictability in staffing. I've experienced a few times in the past that a strong flu season causes specific bus lines to be serviced with reduced frequency due to staffing shortages.

But concretely, regarding the staffing costs, if I roughly read the financial report section correctly, it looks like for the Berlin transport agency, salaries make up half of all expenses[0]!

Given that that's such a big portion, I think autonomous buses could likely unlock a lot of mobility in big cities by having more flexibility in creation of additional bus routes (as you don't have to consolidate multiple routes into one because you have to pay drivers for each).

[0]: https://www.bvg.de/dam/jcr:67ef63fc-3fd1-4e95-aae6-2ab8c8c2b...
by blazarquasar | 2026-01-23 08:35:26+00:00
I would disagree. I would never activate a feature that down-ranks or hides results based on some ominous judgement on quality by a Kagi team.
For AI Slop its pretty easy to determine because it is always lows quality and useless content that provides zero value and is a waste of time. The guidelines as specified also allow for some margin or error here I would argue.
Show HN: Vidmix.ai – generate short videos from text or images
by tyson63520 | 2026-01-23 08:35:32+00:00
I built vidmix ai to remove the friction from making short videos. Paste text or upload an image, pick a style, and get a shareable clip in minutes.
Would love feedback from anyone using AI video tools in their workflow (creators, marketers, indie hackers).
by fauigerzigerk | 2026-01-23 08:36:06+00:00
>Now, one could argue that the repeated use of swear words, even in private, negatively influences one's behavior

One could even argue that just having bad thoughts, fantasies or feelings poses a risk to yourself or others.

Humankind has been trying to deal with this issue for thousands of years in the most fantastical ways. They're not going to stop trying.
by fc417fc802 | 2026-01-23 08:36:20+00:00
Miku is neat but not a replacement for a human by any stretch of the imagination. In practice most amateur usage of that lands somewhere in a cringey uncanny valley.

No one was going to replace voice actors for TV and movie dubs with Miku whereas the cutting edge TTS tools seem to be nearing that point. Presumably human vocal performances will follow that in short order.
by eesmith | 2026-01-23 08:36:31+00:00
To save you either needed a cassette recorder, plugged into the machine with a special cable, then "SAVE CS1" and follow the instructions. (Start recording, the TI plays sound to the output port, which gets stored on tape. Use "LOAD CS1" to load from cassette, after rewinding to the start of the program.)

Or you needed an expansion box, with a floppy drive, in which case you could do "SAVE DSK1,PROGNAME" to save to "PROGNAME" on the first disk. I didn't have an expansion box.

Neither would have come with the base computer.
by piebro | 2026-01-23 08:36:31+00:00
Cool project! I tackled the same problem a few weeks ago to plot some nice Christmas cards. I will have a look at your skeletonization approach, because I was struggling with that.

In the end I just used potracer and was fine with having double lines for my cards: https://github.com/piebro/personal-plotting-util/blob/main/i...
by 8fingerlouie | 2026-01-23 08:36:56+00:00
My Vaillant air to water heat pump is "effective" down to -28C, and has a resistive heater element as a backup in case the COP value flatlines (as in if COP is 1, it doesn't matter).

My cheap air to air heat pump in the summerhouse (Panasonic HZ25ZKE) is effective down to -25C and has a COP of 2.22 there. Even at -25C it still delivers twice as much heat energy as the electricity consumed.

https://www.aircon.panasonic.eu/DK_da/product/panasonic-hz25...
by lelanthran | 2026-01-23 08:37:00+00:00
> If the US paid $8B towards it debt every _day_ it would take over thirteen _years_ (completely ignoring interest accumulation, which isn't realistic) to pay off $38T in debt.

> I don't see how this is huge in context, it is indeed symbolic.

I think if you approach the average new home buyer and said "We've reduced your bond repayment term to 13 years. Your monthly repayment will not increase" they will certainly consider it more than symbolic.

IOW, 13 years to payback is nothing compared to what we usually see for PE ratios of a bubbling stock, or repayment terms on a large loan, etc - it is definitely much much more impactful than you think.

> This specific sale just isn't statically significant in a vacuum. If this precipitates a snowball effect of bond-selling, completely different story.

I think that's the problem here - we're (all the commenters) trying to determine if this is the first pebble that starts the avalanche. All bank runs (in this case, a run on the debt in US dollars) starts with small but significant withdrawals (i.e. selling your dollars for some other money) that indicate to other holders to get their money out while it is still there to be gotten.
Show HN: Tryveo4.io – Veo 4 focused AI video generation
by tyson63520 | 2026-01-23 08:37:29+00:00
I put together veo 4 ai workflows on TryVeo4.io to make it easier to generate clean short clips without juggling prompts across tools.
Would love feedback from anyone using AI video generation for product demos, ads, or rapid content iteration.
by enoent | 2026-01-23 08:37:37+00:00
The author is referring to limitations in analysing banking:

> Ghidra supports the 8051 architecture but not code banking.

Usually in these ISAs an I/O port or a register sets the bank number, so any processor module should be able to resolve concrete banked references. But you still need to know what that register holds in various code paths, which are likely dynamically computing those values.

No tooling can give this out-of-the-box, as it relies on knowing the concrete initial state of the system (i.e. memory and register contents), and knowing what to return when hooking into I/O accesses.

Once these are known, we can leverage the built-in pcode emulator and run it with this state. It seems nowadays Ghidra has some built-in support for Z3, but I personally never used it, so I'm not sure how viable it is for symbolic execution. Regardless, with either approach, we would now have concrete banked code references being resolved, and could script some auto annotation of the disassembly with these references. These would be equivalent to what the author gathered from the logic analyzer trace.

A pure static analysis approach seems to suggest one would manually brute-force through all possible bank numbers at any given code path, which I guess is only viable if you have the time for that.
by SCdF | 2026-01-23 08:37:46+00:00
I disagree: in as much as I have noticed this *far* more with AI than any other advancement / fad (depending on your opinion) than anything else before.

This also tracks with every app and website injecting AI into every one of your interactions, with no way to disable it.

I think the article's point about non-consent is a very apt one, and expresses why I dislike this trend so much. I left Google Workspace, as a paying customer for years, because they injected gemini into gmail etc and I couldn't turn it off (only those on the most expensive enterprise plans could at the time I left).

To be clear I am someone that uses AI basically every day, but the non-consent is still frustrating and dehumanising. Users–even paying users–are "considered" in design these days as much as a cow is "considered" in the design of a dairy farm.

I am moving all of the software that I pay for to competitors who either do not integrate AI, or allow me to disable it if I wish.
by Beretta_Vexee | 2026-01-23 08:38:14+00:00
They have successfully pivoted from a hobbit focused solely on board games, which requires travelling to someone's house with your figurines, going to the shop, etc.

to something broader, selling video games, science fiction novels (of mediocre quality), miniature painting alone, etc.

Many of their adult customers only buy and paint the miniatures to relax, without ever actually playing with them, for example.
This has allowed them to significantly increase their prices.

They are also much less hostile towards fans. If my memory serves me correctly, in the 1990s they went after a fan who had tattooed one of their characters on himself...

Now they are hunting down 3D print models, but leaving fans relatively alone.
by mft_ | 2026-01-23 08:38:35+00:00
There was that experiment run where an office gave Claude control of its vending machine ordering with… interesting results.

My assumption is that Claude isn’t used directly for customer service because:

1) it would be too suggestible in some cases

2) even in more usual circumstances it would be too reasonable (“yes, you’re right, that is bad performance, I’ll refund your yearly subscription”, etc.) and not act as the customer-unfriendly wall that customer service sometimes needs to be.
by Ao7bei3s | 2026-01-23 08:39:30+00:00
Same thing, but from space and with big data: https://www.he360.com/

(Disclaimer: none; I have zero affiliation with them. And they don't really advertise what their actual capabilities are. But the core of it is classifying signals, geolocating them, putting them on a map, and also data mining them. This is then apparently sold for use cases like monitoring US land border crossings, determining which ships communicate with each other to intercept drug boats, finding radar stations in war zones, and, as always, "search and rescue".)
by CalRobert | 2026-01-23 08:40:25+00:00
For all the naysaying I wanted something that was “like languagereactor and anki put together” a few days ago and had it done in about two hours. And it runs on-device, because much of the time the whole reason for a cloud is to justify the subscription. And I can just install an apk (for now, I guess Google wants to steal that from us).
by holowoodman | 2026-01-23 08:40:27+00:00
> Most uses of fossil fuels are very inefficient. For instance, when you step on the accelerator in your car, only around 30% of the energy in the fuel you use actually is being used to propel you forward. The majority of the energy is wasted as heat. In a power plant that's more like 70% being captured and going towards the goal (electricity generation).

Yes, but there are also future inefficient uses of renewables. E.g. when making iron, you heat the ore (iron oxides) with coke (refined sulfurless coal). The coke will provide extra heat and act as a reduction agent, separating the oxygen atoms from the iron oxides. Now you can do the same thing with hydrogen as the reduction agent to avoid producing CO2 and to avoid using fossil fuels. However, creating renewable hydrogen is atm only 30% efficient, storing and transporting it has losses. Even with possible improvements, that hydrogen will be a very inefficient and costly use of electricity, and at least half of it will always be wasted.

So in terms of total energy usage, making those kinds of industrial processes use hydrogen, we will have to at least double our electricity output. And a lot of that doubling will be wasted because of the inefficiency of electrolysis, as opposed to directly using coal or natural gas.
by simianwords | 2026-01-23 08:40:50+00:00
Very emotional article. I keep seeing this trope but I wonder how people reconcile this: autodesk is enshittifying its product. Users are leaving. But also wall street likes it. But also Wall Street is this powerful institution that keeps making money.

How does all this add up? Is Wall Street so stupid to encourage all products to enshittify thereby leading to their own loss of investments?
by lambdaone | 2026-01-23 08:40:54+00:00
Achievable near-future net-nearly-zero in the near future is a lot better than waiting longer until we can achieve full net zero. Don't let the perfect be the enemy of the good.

The real issue is the cost of keeping gas peaker stations around that are mostly idle and fire up only a few days a year, but that's an economic issue, not an engineering one.

In the longer term, you could even run them off net-zero renewable syngas that you make the rest of the year using low-cost electrical power at peak solar generation times; you only need to store a relatively small amount of it, and old fossil fuel reservoirs are ideal for this.
by tetris11 | 2026-01-23 08:41:13+00:00
Same with Naruto. Naruto and Sasuke are both essentially nepo babies inheriting these amazing powers and breaking barriers on day one. They fall down, but get up like its a scratch.

Meanwhile, Sakura, born of no remarkable parentage and easily sidelined plays an initial supporting role to these two egomaniacs.

But, she uses what little power she has and finesses it to medical precision.

She still fails, but I care about her battles a lot.
Debugging complex systems without understanding them
by forteaux | 2026-01-23 08:41:16+00:00
Throughout the last year, I've worked on many projects where comprehending the codebase was becoming simply impossible. That includes:

- simulation-heavy environments with strong feedback loops
- experimental AI systems with non-linear couplings
- chaotic or high-entropy subsystems or modules with vulnerability to initial conditions

Each time a mental model of such a system was formed - it has already moved on. It was evolving and changing faster than I could map its structure. Especially in large codebases under the pressure of deadlines.

What ended up being more useful under those conditions was not knowing the codebase but control over it and thinking in transitions between subsystems.

In practice, this meant shifting focus to the following things:

- boundaries and relations
- state transitions instead of code paths
- perturbing the system deliberately
- imposing hard boundaries
- identifying attractors instead of chasing clean solutions

This isn't an argument against best practices in general. Rather an observation derived from working on unconventional systems. When they become large, stateful and historically coupled, explanation become retrospective.

I've seen this pattern repeat in simulations, neural systems, and production software alike. The versions that survived weren't the ones I fully understood but those whose failure space was mapped and from which best invariants were derived.

I wrote up a short field manual collecting those techniques in details, mainly for incident-mode situations where waiting for clarity isn't an option. Sharing it here in case it's useful for others dealing with similar systems.

Link: https://kolmohorov.gumroad.com/l/tmitwg
by draven | 2026-01-23 08:41:42+00:00
I agree a good multi-effect is useful to learn what the different effects actually do, but there are good entry-level multi-effect pedals that are cheaper than that. And this pedal can only have one effect at a time.

Also, it seems there's no preview in their AI playground, so you have to burn tokens and upload the effect to test it, and it may take lots of iterations to get what you want.

So I think this could mainly interest developers who are able to use it as a platform to develop their own effects without going through the AI thing, and beginners who want to be able to use different community effects to test things.
by neya | 2026-01-23 08:41:54+00:00
Out of pure boredom and tired of all these Chat websites selling my data and with ChatGPT's new update on ads - I decided enough was enough and created my own Chat application for privacy. Like every other architect, I searched for a good database and eventually gave up on specialized ones for chat because they were either too expensive to host or too complex to deal with. So, I simply just used PostgreSQL. My chat app has basic RAG, not ground breaking or anything - but the most important feature I made was ability to add different chat models into one group chat. So, when you ask for opinions on something - you are not relying on just a single model and you can get a multi-model view of all the possible answers. Each model can have its own unique prompt within the group chat. So basically, a join table.

Months passed by since this application was developed (a simple Phoenix/Elixir backend), and yesterday I was casually checking my database to see how many rows it had - about 500,000+ roughly. I didn't notice a single hint of the volume the Postgres was handling, granted - I'm the only user, but there's always a lot going on - RAG, mostly that requires searching of the database for context before multiple agents send you a response (and respond amongst themselves). Absolutely zero performance degradation.

I'm convinced that Postgres is a killer database that doesn't get the attention it deserves over the others (for chat). Already managing some high traffic websites (with over 500M+ requests) with no issues, so I am extremely unsurprised that it works really well for chat apps at scale too.