MurphyA/hacker-news huggingface dataset:
by elevatortrim | 2026-02-26 13:56:25+00:00
I think when you are new with good ideas, you are judged against average. If you are above average, you are listened to.

As years pass, you are judged against the standard you set, and if you do not keep raising this standard, you start being seen as average, even if you are performing the same when you joined.

I've seen this play out many, many times.

When an incompetent person is hired, even if issues are acknowledged, if they somehow stay, the expectations from them will be set to their level. The feedback will stop as if you complain about same issues or same person's work every time, people will start seeing this as a you problem. Everyone quietly avoids this, so the person stays.

When a competent person is hired, it plays out the same. After 3/5/10 years, you are getting the same recognition and rewards as the incompetent person as long as you both maintain your competency.

However, I've seen (very few) people who consistently raised their own standards and improved their impact and they've climbed quickly.

I've seen people lowering their own standards and they were quickly flagged as under-performers, even if their reduced impact was still above average.
by jtalk22 | 2026-02-26 13:56:50+00:00
Support links for this release:
- Announcement: https://github.com/jtalk22/slack-mcp-server/discussions/12
- Launch-day Q&A: https://github.com/jtalk22/slack-mcp-server/discussions/13

If install fails, include OS + node version + --doctor output and I’ll prioritize in release order.
by klibertp | 2026-02-26 13:57:05+00:00
For Latin alphabet-based languages, it's pretty similar to how names from those languages are transliterated to Japanese or Korean. You get "Clare" in English and (what, to me, sounds like) "Kurea" in Japanese; equivalent (I'm told!) but not the same. It would be wrong to try to assess the IQ of Japanese (who don't know English) by asking about properties of the original word that are not shared by the Japanese equivalent. On the other hand, English speakers won't ever experience haiku fully, since the script plays a big role in the composition (according to what I'm told... I don't know Japanese, but anime intake exposed me to opinions like this; and even if I'm dead wrong with details, it sounds like a plausible analogy, at least...)
by dgacmu | 2026-02-26 13:57:10+00:00
Your own quote literally states that methylphenidate didn't appear to cause any of these problems.

Q: what's the most widely prescribed ADHD medication?

A: Ritalin / Methylphenidate

> Methylphenidate remained the most widely prescribed drug, although the use of lisdexamfetamine and guanfacine has expanded in recent years.

https://pmc.ncbi.nlm.nih.gov/articles/PMC12565614/

It's almost like ... you work with your doctor to identify an effective treatment that balances the costs and benefits for your particular situation.

This applies to most medicines and it's why we have a set of people trained to navigate those tradeoffs. You seem focused only on the negatives of ADHD meds, which are real, without acknowledging that for some patients there are large benefits too. That seems kind of myopic.
by braza | 2026-02-26 13:57:10+00:00
Maybe marginally related, I used to listen to a lot of podcasts, especially when I had a severe issue in my eye and I couldn't read. I used to listen to nonfiction, lifestyle, health, tech and history (I do not follow politics in podcasting).

At least after the pandemic (ca. 2023) one thing that I noticed is that a lot of podcasts now has some rotation of the same guests, they are more tied with the world events (e.g., a "stoic" podcast talking about the POTUS that has 0% influence in my life and interest) and prominent figures that are specialized in... podcasting, or podcasts that, without any pushback, bringing outlandish guests for clicks (e.g. any of the Weinstein brothers, moon landing, etc).

I used to listen 20+ hours of podcasting per day and my feed was great, but now I cannot even listen 1 hour or even 99% of the guests are the same figures or super polarizing.

Someone have been in the same stage also?
by snozolli | 2026-02-26 13:57:43+00:00
There are a ton of posts and bug reports about the Windows 11 File Explorer being slow. Personally, after a few minutes of use, changing directories can take on the order of 20-30 seconds!

The slowdown appears to be due to XAML Islands, which allow legacy code to use modern MS UI stuff.

https://www.techindeep.com/why-is-windows-explorer-slow-7289...
by jillesvangurp | 2026-02-26 13:58:55+00:00
> A diesel fuel tank for 400 litres of diesel weighs roughly 350 kg (the tank itself is relatively light; diesel is 0.84 kg/L). A battery pack storing equivalent energy would weigh on the order of 16 tonnes at current lithium-ion energy densities. That’s not just additional weight. It’s 16 tonnes of payload that disappears.

And yet, electrical semis exist that come without 16 ton batteries. The fallacy here is that most of the diesel is used to heat the universe rather than move the truck. Truck engines are relatively efficient but it's still a combustion engine. EV trucks are now a reality.

Mercedes-Benz’s eActros 600, one of the flagship battery-electric long-haul trucks now in series production, uses *three 207 kWh LFP battery packs for a total of 621 kWh of installed capacity, and under realistic conditions can deliver about 500 km of range on a full charge with a 40-ton gross combination weight, with opportunity charging in driver breaks enabling well over 1 000 km of daily travel. That's 4-6 tons of battery, not 16.

Volvo Trucks’ current flagship, the FH Electric, has 360–540 kWh of batteries (four to six packs) and achieves up to ~300 km of range for typical heavy-duty operation, and its forthcoming FH Aero Electric long-haul variant is being announced with ~780 kWh battery capacity targeting ~600 km of range. That's around 3 tons of battery.

The weight goes at the cost of the useful load. Though the EU allows an extra 2 tons for new energy trucks. And of course a lot of trucks aren't fully loaded typically. Also, the weight limitations have a lot to do with safety issues related to diesel trucks and their brake systems that electrical trucks have much less. Regenerative braking and lots of torque at low speeds mean that they could move a lot more weight safely than currently allowed. And adding more axles to distribute the weight can address any road damage concerns.

With mandatory 45 minute breaks every 4.5 hours, trucks can just top up as needed. With normal truck driver hours that's 1 or 2 breaks in a working day. There's a growing amount of chargers all over Europe and these things routinely drive all over Europe from Scandinavia to Iberia to Balkans and everything in between. There are of course still many places where more/better chargers are needed but these ranges are usable and practical enough that you can get loads from A to B in most of Europe with only minimal delays relative to diesel trucks in terms of charging time losses. It's early days and charging infrastructure is rapidly being improved. But the point is, that electrical trucks work just fine today. There are no fundamental real load or distance limitations here. But of course more infrastructure is needed to scale.

Lighter batteries will make trucks slightly more efficient. But price and longevity matter much more. Sodium ion with its well over a million mile lifespan looks like it should revolutionize trucking over the next decade. LFP is commonly used today already. NMC is lighter but has a lower lifespan.
by graemep | 2026-02-26 13:59:03+00:00
I really cannot understand why people who are permanently settled in a country would not apply for citizenship.

It is not a matter of trust. Unless you are a citizen your right to remain in a country is always subject to the approval of the government and rules can change. it is the point of the distinction between "indefinite leave to remain" and citizenship.

I have noticed that only white people commit to living in the UK without becoming citizens. Sindhu Vee is very funny about that: https://www.youtube.com/watch?v=s8DNgi5Tok4&t=90s
by leeter | 2026-02-26 13:59:05+00:00
When MS removed Solitaire and made it an app, that should have been the sign to move.

When they introduced a mobile first UI onto a desktop OS...

When they forced mandatory Microsoft accounts...

When they started saving files that had no place being in one drive to the cloud by default and charging people for it...

When they announced the worst AI privacy disaster in computing OS history...

When their updates refused to install cleanly and bricked people's computer to the point of hardware damage...

Seriously thinking I might have Stockholm syndrome at this point. To me the best windows would be Windows 11's kernel and libraries with Windows 7's UI and apps. Because it's been all down hill (generally) since there.
by tripledry | 2026-02-26 13:59:07+00:00
Side note, this is why I'm not that worried even if AI becomes even better at writing code. The only times I've spent "too long" on features, are times where I basically had an empty ticket. I need to find the right people to talk with, figure out requirements, iterate on changing requirements etc.

That's only marginally sped up even if you could generate the code with a click of a button.

This was somehow related to the "social activity" part :D
by shalmanese | 2026-02-26 13:59:23+00:00
The Australian ETA process, on the other hand, actually can only be done via an Android or iOS mobile app: https://immi.homeaffairs.gov.au/visas/getting-a-visa/visa-li...

What's more, the app is so buggy reddit is filled with support cases of people not being able to complete the process in time and sometimes having to forfeit hundreds of dollars worth of tickets: https://www.reddit.com/r/AusVisa/comments/1jh2olm/having_an_...

The advice literally boils down to, some models of iPhones don't work so go borrow a friend's phone of a different model and pray that they can process your application for you.
by hypertexthero | 2026-02-26 13:59:27+00:00
Guitars certainly have a more intimate connection between the touch of fingers and the sound, including the bending of the tone, one of Hendrix’s virtuosities.

Keyboards can approach that with polyphonic touch keys like the Hydrasynth, sustain pedals, and pitch bend/modulation controls, but not the nuanced touch of skin on a vibrating string.

I think synth guitars exist, too, but don’t know anything about them. The pedalboards are enough, maybe :)
by gaigalas | 2026-02-26 13:59:42+00:00
Look at what they do instead, not their marketing. NASA is the obvious and biggest example. They won't be vibe coding and skipping QA any time soon. Probably ever.

Look at any high quality open source software, and the care people put into them. Those are organizations, made up of people, some of them highly technical.

Startups often don't optimize for correctedness. They can't afford it. But that's a niche. Funny enough, it's the one that's being most affected by the shift in value dynamics right now, so I understand that some people here might see the world as just this, but it isn't.
by dminik | 2026-02-26 14:00:37+00:00
Sort of. Given an instance (can even be a primitive) you can obtain a dyn reference to a trait it implements simply by casting it.

let a: i32 = 12;
let b = &a as &dyn std::string::ToString; // i32 implements the ToString trait

let c = a.to_string(); // Static dispatch
let d = b.to_string(); // Dynamic dispatch through dyn reference

Note that there's not really any polymorphic objects in rust. All polymorphism in this case goes through the dyn reference which contains a pointer to a vtable for a specific trait.

Additionally, going from a dyn reference to a type-specific reference is not easy. Also, certain methods and traits are not dyn-compatible, mostly due to generic parameters.

The main use comes in with various libraries. Doing dynamic dispatch on a specific type is not very useful, but your library might expose a trait which you then call some methods on. If you accept a generic parameter (eg. impl Trait) each such invocation will cause monomorphization (the function body is compiled separately for each generic type combination). This can obviously bloat compile times.

Using a dyn reference in your API will result in only a single version being compiled. The downside is the inability to inline or optimize based on the type.

One additional use I found is that you can sometimes get around the divergent expression type in match expressions. Say you need to print out some values of different types:

let value: &dyn Display = match foo {
A(numeric_id) => &numeric_id,
B(string_name) => &string_name,
C => &"static str",
};

This would not work without dyn as each value has a different type.
by OutOfHere | 2026-02-26 14:00:42+00:00
I get the USDA Organic one. I have asked the vendor to ensure the vendor test for heavy metals.

Note that psyllium is unique in that not only does it not absorb, but it also binds to everything on the way out, so the risk is low. Fwiw, I have had blood and urine tests for lead twice.
by shubhamjain | 2026-02-26 14:01:16+00:00
I was wondering if it was because of heavy-handedness of the administration, but apparently:

> The policy change is separate and unrelated to Anthropic’s discussions with the Pentagon, according to a source familiar with the matter.

Their core argument is that if we have guardrails that others don't, they would be left behind in controlling the technology, and they are the "responsible ones." I honestly can't comprehend the timeline we are living in. Every frontier tech company is convinced that the tech they are working towards is as humanity-useful as a cure for cancer, and yet as dangerous as nuclear weapons.
by ndriscoll | 2026-02-26 14:01:23+00:00
Okay, but relative to their resources, that's nothing. So they can just pay for those things. It's like worrying about a water heater replacement when you make well into six figures. At a macro level, it is obvious that the suburban model itself is not somehow financially unsustainable.

The city budget is $14B. So they need to make a ~7% adjustment somehow, which amounts to less than a 1% tweak to the local economy. That's not a broken system. It's not a ponzi scheme. It just means they should pay their bills and maybe reduce some waste. You yourself said it's trivial for residents to afford to just pay for the deficit.
by vinhnx | 2026-02-26 14:01:40+00:00
I listen to a lots of podcast.

Currently here is my pinned favorites ones:

Practical AI

Grit

Wenbin Fang's Podcast Playlist (Founder of https://www.listennotes.com/)

The Gradient: Perspectives on AI

Latent Space: The AI Engineer Podcast

The Empty Bow

Hacker News Recap

Dwarkesh Podcast

Machine Learning Street Talk (MLST)

Interconnects

Talk Python To Me

Training Data

---

My podcast collection (opml file format). Exported from Overcast.

Feel free to import to your podcast app of choice. https://github.com/vinhnx/podcasts
by Urahandystar | 2026-02-26 14:02:05+00:00
The main reason for this was employers could cut your hours if they had a poor month and needed to balance the books. Which is understandable for smaller businesses. Then the bigger companies went nuts with it and ended up massively changing the dynamics of work.

This change should go further in killing off the zombie companies that exist which means another spike in the unemployment rates. Coupled with the figures on the UK topping AI replacement of workers charts things are looking really grim.

The UK desperately needs a functioning angel and VC culture to absorb this but it looks like the cart has bolted before the horse.
by RajT88 | 2026-02-26 14:02:40+00:00
We've kicked the can down the road. Stuff used to cost more; now we make everything out of plastic overseas. Once all of those economies are wealthy enough to start caring about the environment (and I'm convinced we'll get there), pollution will have to be dealt with globally.

Maybe by then we'll have returned to building products which last (although I'm not holding my breath).
by bhekanik | 2026-02-26 14:02:52+00:00
Great project! The self-learning memory approach is smart - I've found that persistent context across agent runs is what separates useful automation from novelty. The shared vs personal memory distinction sounds similar to how humans work: individual notes that compound into team knowledge. The evolution approach you describe (start small, then expand) really is the pragmatic way to adopt these tools. The "it won't go rogue" jokes are funny but the real risk I've seen is more mundane - agents quietly doing the wrong thing confidently. Memory and reflection loops like you're building help with that too.
by JB_5000 | 2026-02-26 14:03:11+00:00
Hey - small Aussie team here. It's 1am and we just open sourced ContextUI.

It's a local-first desktop app for building and running visual AI workflows. TSX-based UI modules, full filesystem/CLI/GPU access, works offline with no cloud required.

Workflows can be published to the Exchange - others install and run them locally with deps resolved automatically.

Agents can create workflows and immediately test/run them in the same runtime.

Desktop app is Apache 2.0. ~300 users, ~230 workflows published.

Tell us what's awesome and what's terrible
by otterley | 2026-02-26 14:03:21+00:00
Whom are you quoting here? Looks a lot like LLM slop.

I’m not sure you got the law right. “Abetting” does not mean encouragement. And the code itself does not have “(encourages)” in parentheses in it. The text of the code is right here: https://www.statutes.ca/r-s-c-1985-c-c-46/21

Since you work in a law firm, maybe you should ask your colleagues.
by sgarland | 2026-02-26 14:03:36+00:00
IME, here are some signals that a company actually values correctness. This is not all-inclusive, nor is any one of them a guarantee.

* Their codebase is written in something relatively obscure, like Elixir or Haskell.

* They're an infrastructure [0] or monitoring provider.

* They're running their code on VMs, and have a sane instantiation and deployment process.

* They use Foreign Key Constraints in their RDBMS, and can explain and defend their chosen normalization level.

* They're running their own servers in a colo or self-owned datacenter.

And here are some anti-signals. Same disclaimers apply.

* Their backend is written in JS / TS (and to a somewhat lesser extent, Python [1]).

* They're running on K8s with a bunch of CRDs.

* They've posted blog articles about how they solved problems that the industry solved 20 years ago.

* They exclusively or nearly exclusively use NoSQL [2].

0: This is hit or miss; reference the steady decline in uptime from AWS, GitHub, et al.

1: I love Python dearly, and while it can be made excellent, it's a lot easier to make it bad.

2: Modulo places that have a clear need for something like Scylla - use the the right tool for the job, but the right tool is almost never a DocumentDB.
by DrScientist | 2026-02-26 14:03:44+00:00
So in summary OpenAI are basing their valuation of 285 billion on the moat of 'users won't be arsed to download a different app'???

Seems optimistic when there is very little intrinsic stickness due to learning the UI or network effects. Perhaps a little bit chat history - but not 285 billions worth.

Also completely ignoring the fact that most devices things will start to come with the same features directly built into the device/app - and the largest market will be as a commodity backend api that the eventually users won't know or care if it's a google or openai model.

As I see it, they need to be doing stuff nobody else can ( in either price or performance ), otherwise it's hard to justify the valuation.
by hrldcpr | 2026-02-26 14:03:55+00:00
Interesting, thanks!

One thing I'd update is that early in the article you say that for switching from diesel to lithium-ion, "It's 16 tonnes of payload that disappears".

But then later you take engine efficiency into account and say it's "about 6.4 tonnes of battery".

So the claim that it would ever reduce payload by 16 tonnes seems incorrect, and not everyone is going to read both parts.
by janejanejanejan | 2026-02-26 14:04:05+00:00
There are also encrypted AI chatbots like Tinfoil and Confer that E2E encrypt all data to a secure hardware enclave. I also use Claude and OpenAI for non-privacy needing tasks, but use Kimi-k2 on tinfoil when I need privacy. Kimi-k2 feels close enough to SOTA so I'm happy with it.
by lm28469 | 2026-02-26 14:04:19+00:00
> The near billion users OpenAI has

They're losing market share and the growth of active user plateaued. They captured all the normies who learned about llms on TV but these people will never spend a cent as you said.

They're not even on the top 10 most used llms on openrouter anymore: https://openrouter.ai/rankings

At the current pace anthropic will make more money than openai soon: https://epochai.substack.com/p/anthropic-could-surpass-opena...

https://menlovc.com/wp-content/uploads/2025/07/2-llm_api_mar...
by DustinKlent | 2026-02-26 14:04:25+00:00
I have attempted to replicate the "workflow" LLM process where several LLMs come up with different variations of a way to solve a problem and a "judge" LLM reviews them and the go through different verification processes to see if this workflow increased the accuracy of the LLM's ability to solve the problem. For me, in my experiments, it didn't really make much difference but at the time I was using LLMs significantly dumber than current frontier models. HOWEVER...When I enable "Thinking Mode" on frontier LLM's like ChatGPT it DOES tend to solve problems that the non-thinking mode isn't able to solve so perhaps it's just a matter of throwing enough iterations at it for the LLM to be able to solve a particular complex problem.
by ryanmcl | 2026-02-26 14:04:29+00:00
Mine has changed a lot over the years but right now it's something like: "You're allowed to start over. Starting over at 45 with no experience doesn't mean you wasted the first 44 years, I feel it means you finally have enough context to know what actually matters to you."

I spent 20 years in B2B sales before teaching myself to code last year. The old system prompt was basically "perform, close, optimize." It worked but it was running someone else's program. The rewrite happened when I got sober about two years ago and realized most of my default behaviors were inherited, not chosen.

Now I try to run on something closer to: "Build things that would have helped you when you were struggling. Ship before it's ready. Let people see the mess."

Great question...I think most people never examine their defaults, they just keep executing the prompt they were given as kids.
Show HN: WebGL mipmap renderer for a zoomable R/place on a real world map
by recuerdame | 2026-02-26 14:04:51+00:00
I built a pixel canvas where you place tiles at real lat/lon coordinates on a world map – a 1.6M × 1.6M pixel grid (2.6 trillion addressable pixels). The technical challenge was making it feel smooth from zoom level 0 (whole world) to zoom level 18 (individual pixels).

What I tried and what worked:

- Canvas2D → WebGL: At wide zoom, Canvas2D couldn't keep up redrawing millions of pixels. Switched to a WebGL renderer with mipmap-style tile pyramids – pre-rendered lower-res textures for each zoom level, only loading full-res tiles when you're close enough.

- Viewport-scoped SSE: Instead of broadcasting all pixel updates to every client, the server only streams changes within your current viewport bounds. Cuts bandwidth by ~95% for a sparse map.

- Mercator pixel mapping: Each pixel maps to a real geographic coordinate. The tricky part was making pixel density feel uniform despite Mercator distortion at high latitudes.

- Seeded pixel art: Pre-placed recognizable characters in major cities so new users see something interesting immediately instead of a blank map.

Stack: Node.js, WebGL, SSE, S3 tile storage, Lambda for tile generation.

Free to use, no account required to browse. Still early – would love feedback on the rendering approach.