skysight-inc/HackerNews huggingface dataset:
Tariffs should be one of the easiest to implement.

The state is already involved with imports, it just adds another item to the import tax bill. Even the price is already set, as import tax is determined by a percentage too.
Cassava Science is mentioned in the article and their problem is that the drug they backed was based on fraudulent academic research. The professor has been indicted by the DOJ for defrauding the NIH of $16M in grants. This isn't an indictment of capitalist pharma because the original fraud wasn't done in a capitalist system.
I think it's possible we're not in disagreement at all, but I'm struggling to express the issue: to me, "recall" is the task that takes all the effort, "understanding" is pretty much instant. Therefore "recall" is the bottleneck between me now and me using the word in a conversation or piece of writing.

But it's possible that we have conflicting ideas of what recall/understanding means.
This makes me think about adversarial methods of affecting the outcome, where we end up with a "who can hack the metabrain the best" contest. Kind of like the older leet-code system, where obviously software engineering skills were purely secondary to gamesmanship.
Making your comms friendlier or whatever is one of the myriad ways to use LLMs. Maybe you personally have "LLMs shoved down your throat" by your corporate overlords. No one in their right mind can say that LLMs were created for such a purpose, it just so happens you can use it in this way.
> He's always liked tariffs, and this is him doing what he believes.

This maybe so, but he still doesn't understand who pays them or why his cronies like them so much. Tariffs transfer wealth from consumers to the government while simultaneously raising inflation. DOGE and friends want to privatize as much government as possible to extract money from it as a grift. Tariffs also hurt SMB sellers who cannot strategically front-load inventory like megacorps can. Furthermore, inflationary policies help out the 0.001% who can financialize weakening currencies while simultaneously making everything more expensive for ordinary people, effectively reducing average and unlivable wages to be even more unequal compared to the soon-to-be trillionaires. It's an ostensible nationalist/protectionist move that's cynically all about $$$$. The average American should anticipate paying $2000 more per year by the time 2026 rolls around for all of their expenditures... for absolutely nothing of value while not receiving a raise to account for it.
From what I understand, Flash manufacturing and management during operation are black arts at this point and nobody wants to give the smallest clue for anything related to Flash management and specifications.

For example, Crucial (Micron) doesn't give any TBW for their external SSDs, giving indications that they're using mixed-binning as long as the speed specs are satisfied. Same for lower level Kingston (NV series) SSDs. At least they openly say that the drives can wildly differ from batch to batch (and oh boy, they do).

As the industry is pinched by customers for more capacity, QLC becomes the norm, TBW numbers are continuously hidden, and you're only left with the internal endurance counters, if you can access them.

Controllers are in the same boat. Wear leveling, write amplification, flash monitoring are all left to whims of the controller designers, resulting in strange situations.

Off-shift/dark production is another problem, but it's not new by any means. BunnyStudios has a great write up which has been linked a couple of times.
On the face of it it's a reasonable request but the question itself is pointless. An applicants outside opinion on a company is pretty irrelevant and is subject to a lot of change after starting work.
Besides Mistral which AI companies are out there in Europe really competing against the US and Chinese tech giants? Deepmind doesn't count, it's owned by Google for quite some time now.
If you can find one, I’d like to see a news story showing that the people accessing the data don’t have the proper security clearances to. It seems most people are getting swept up in media narratives rather than the reported facts.
Odds and Ends – Introductory Text on Probability and Inductive Logic [pdf]
> There was an offer from DeepSeek which was five times lower than their actual prices,

Lower than the usual DS price? Or than OAI? Article is a little ambiguous.

Would be surprised if DS is offering 1/5 rates
It will be interesting to see how this affects the Japanese rice farmers. The prices are high because the farmers don't have 'enough' rice to sell and thus have to raise the price to get the total amount of money they need for rice farming to be profitable. If the government artificially lowers prices by pulling rice from the stockpiles, that won't increase the amount of rice that rice farmers have to sell. They will have to sell the same amount of rice for less money, possibly driving them from the market permanently and lowering the amount of available rice in the future even further.
Sure, but the output of your daily programming work isn't just the code you write for the company. It's also your own self-improvement, how you work with others, etc. For the record, I'm not just saying "AI bad"; I've come around to some use of AI being acceptable in an interview, provided it's properly assessed.
Move semantics is only needed because C++ introduced implicit copies (copy constructor) and they of course fucked it up my making them non-destructive so they aren't even 'zero cost'.

Constexpr and consteval are hacks that 1) should have just been the default, and 2) shouldn't even be on the function definition, it should instead have been a keyword on the usage site: (and just use const)

int f() { ... } // any old regular function
const int x = f(); // this is always get evaluated at compile time, (or if it can't, then fail to compile)
int y = f(); // this is evaulated at runtime

That would be the sane way to do compile time functions.
I guarantee you the lawns at the lawnmower manufacturer are not cut with scissors.

Isn't Anthropic's stated goal to make "nice" self-improving general AI? Cut out the middleman and have the AI train the next generation.
I gave candidates the option to teach me something, if they wanted to.

As you can see from the examples I gave, what they taught me was completely up to them.

It was just a fun exercise that I and every candidate enjoyed.

Forgive me, but I just don't see the problem here.

If you did decide to teach you something about the Quran, that would be great!

I don't know enough about these holy books, and I always welcome a chance to learn more.
The LLM companies have always been against this kind of thing.

Sam Altman (2023): "something very strange about people writing bullet points, having ChatGPT expand it to a polite email, sending it, and the sender using ChatGPT to condense it into the key bullet points"

3 years ago people were poking fun about how restrictive the terms were - you could get your API key blocked if you used it to pretend to be a human. Eventually people just used other AIs for things like that, so they got rid of these restrictions that they couldn't enforce anyway.
To most people it would, but to commies a small business owner is "petite bourgeoisie." Communists consider them to be the foremost supporters of fascism.
LocalStack 4.1 is now available
I've given up on that, I now use http://www.rungap.com/ to extract Garmin data from their API to my iCloud storage.

You can select the filetype too: gpx, fit or tcx.
> I think I'm just very much out of tune with the zeitgeist, because I can't imagine not going along with what's a polite request not to use AI.

No, what you are is ignoring the context.

This request comes from a company building, promoting, and selling the very thing they are asking you not to use.

Yes, asking you not to use AI is indeed a polite request. It is one you should respect. “The zeitgeist” has as much people in favour of AI as against it, and picking either camp doesn’t make anyone special. Either stance is bound to be detrimental in some companies and positive in others.

But none of that matters, what makes this relevant is the context of who’s asking.
If the company is doing behavioral Q&A interviews, I hope they're getting as many bad applicants as possible.

Adding a load of pseudo-science to the already horrible process of looking for a job is definitely not what we need.

I'll never submit myself to pseudo-IQ tests and word association questions for a job that will 99.9% of the time ask you to build CRUD applications.

The lengths that companies go to avoid doing a proper job at hiring people (one of the most important jobs they need to do) with automatic screening and these types of interviews is astonishing.

Good on whoever uses AI for that kind of shit. They want bullshit so why not use the best bullshit generators of our time?

You want to talk to me and get a feeling about how I'd behave? That's totally normal and expected. But if you want to get a bunch of written text to then run sentiment analysis on it and get a score on how "good" it is? Screw that.
Where I live, which is not in the USA, I'm confident my doctor's office doesn't sell their contact list - or at least, not without statistical anonymisation and aggregation for research purposes.

They probably outsource processing the data and storing it to other entities, but that will be under contracts which govern how the data may be used and handled. I assume that's not what "sell the data" means in this conversation.

It would be such an egregious violation of local data protection law to sell patient personal details for unrestricted commercial use, including their contact info, and it would make the political news where I live if they were found out.
The example is overly simplified. It glosses over many of the subtle-but-important aspects of durable execution.

For example:

- Steps should be small but fallible operations - eg. sending a request to an external service. You generally want to tailor the retry logic on steps to the specific task they are doing. Doing too much in a step can increase failure rates or cause other problems due to the at-least-once behaviour of steps.

- The article makes a big deal of "Hello" being printed 5 times in the event of a crash, but durable execution doesn't guarantee this! You can never have exactly-once guarantees of side-effectful functions like this without cooperation from the other side. For example, if the external service supports idempotency via request IDs then you can generate an ID in a separate step and then use that in your request to get exactly-once behaviour. However, most services don't offer this. Crashes during a step will cause the step to re-run, so durable execution only gives you at least once behaviour.

- Triggering the workflow itself is a point of failure. In the example, the workflow decorator generates an ID for the workflow internally, but for triggering a workflow exactly once the workflow ID needs to be externally generated.

- The solution is light-weight in terms of infrastructure, but not at all lightweight in terms of performance.
GP probably mean 2014, that was the year everything went to shit there. But thinking about it, it's probably more like 2013. Like people say: slowly, then all at once. The "all at once" of venezuela was 2014.

But the US president don't have the same power Maduro had, and have competent bureaucracy (in this case, the Fed). Anyway the comparison does not really work anyway. We lack data points. I'll wait 6 months before making any judgments.
Adaptive Classification for Automatic LLM Temperature Optimization
After analyzing 500 diverse LLM queries (from Arena Auto Hard benchmark), we found that the typical temperature=0.7 setting is only optimal 23.5% of the time. We built an adaptive classification system that automatically predicts optimal temperature ranges based on query characteristics, achieving a 69.8% success rate in finding better configurations.

Key findings:

Query-Temperature Mapping:

Factual queries (math, logic) → 0.0-0.1
Technical writing → 0.2-0.5
Conversational → 0.6-1.0
Creative tasks → 1.1-1.5
Exploratory thinking → 1.6-2.0

Distribution Analysis:
Most queries actually benefit from non-standard temperatures:

26.4% perform best with technical precision (0.2-0.5)
23.5% with standard balanced settings (0.6-1.0)
18.6% with strict deterministic settings (0.0-0.1)
31.6% with higher creative settings (>1.0)

Implementation:
We use Round-Trip Consistency (RTC) testing: generate a response, create an alternate query targeting similar content, generate second response, measure semantic similarity. This provides an automated way to evaluate temperature effectiveness without human intervention.

The classifier learns continuously from query-response patterns. In production, this reduced "hallucinations" by 42% for factual queries while improving creativity scores by 35% for open-ended tasks.

Technical details and implementation: https://github.com/codelion/adaptive-classifier

We're particularly interested in feedback from others who've dealt with temperature optimization at scale.
I have a feeling that "almost getting there" will simply become the norm. I have seen a lot of buggy and almost but not exactly right applications, processes and even laws that people simply have to live with.

If US can be the worlds biggest economy while having an opiod epidemy and writing paper cheques, if Germany can be Europes manufacturing hub while using faxes, sure we as a society can live in the unoptimal state of everything digital being broken 10% of the time insteaf of hald percent
The ones paying are in their vast majority the most selfish of them all, for example it would be reasonable to say that Jeff Bezos its one of the most selfish people on the planet, so at the end it doesn't boil down to "Well I can cheat and get away with it, so therefore I should cheat" but more like "Well I can cheat, get away with it and the victim is just another cheater, so therefore I should cheat"
Besides Mistral there are a bunch of smaller "research" models like https://huggingface.co/Almawave/Velvet-14B (Italian) and https://huggingface.co/projecte-aina/aguila-7b (Spanish/Catalan), but as far I'm aware, nothing that really competes with OpenAI/DeepSeek so far (which tbh, I don't think Google does at this time either? None of their models I've tried even came close to GPT4)
>What am I missing?

Like everything. You do not even mention your machine spec, so I'm assume you just pick the ones that fit, which probably the quant versions.

Quant versions of the "small" models do not perform that well. Not the way you expected them to be.
> Sure, but the output of your daily programming work isn't just the code you write for the company. It's also your own self-improvement, how you work with others, etc

Agreed, but I as the "end user" care not at all whether you're running a local LLM that you fine tune, or storing it all in your eidetic memory, or writing it down on post it notes that are all over your workspace[1]. Anything that works, works. I'm results oriented, and I do care very much about the results, but the methods (within obvious ethical and legal constraints) are up to you.

[1] I've seen all three in action. The post-it notes guy was amazing though. Apparently he had a head injury at one point and had almost no short term memory, so he coated every surface in post-its to remind himself. You'd never know unless you saw them though.
Indeed. You do need some idea of what you are going to do before being funded.

The tricky bit is that in research, and this a bit like the act of programming, you often discover import stuff in the process of doing - and the more innovative the area - the more likely this is to happen.

Big labs deal with this by having enough money to self-fund prospective work, or support things for extra time - the real problem is that new researchers - who often have the new ideas, are the most constrained.
Awesome! Nice work. I’m still astounded by what you can pull off with comptime.
> Azure/AWS biggest competitor is going to be LIDL

You can't be serious...I heard to open an account your are supposed to send them a fax... :-)
> if I were a candidate I'd simply take this as useful information for the application process. They do encourage use of AI, but they're asking nicely to write my own texts for the application - that's a reasonable request, and I'd have nothing against complying.

Sorry, the thought process of thinking that using an LLM for a job application, esp. for a field which requests candid input about one's motivation is acceptable, is beyond me.
Ye, to your defence it seems like the Ollama project did it confusing on purpose to mess with Deep Seek.
It's one of those weird HN things...

https://www.rfc-editor.org/rfc/rfc2550
If I were you I would try to look at this as an opportunity. Every team that under performs has more room for improvement and the more senior you become, the more your work becomes about how you can impact a team than a particular task.

Focus on making the team better and you will always have a home. Better yet, learn to be interested in how to make teams better.
See “contrarian dynamic”.

https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...
This is outrage bait you have fallen prey to. Now you're spreading it. You're better than this.
To weight in with what most likely is an unpopular opinion here on HN - but you also have to consider your job satisfaction and stress factors before and after the potential move - sometimes it is best to shift orgs entirely and continue doing what you like doing rather than be forced to take on new challenges (that might or might not be intractable).
> If we ever did get in a war with them

is that normal to think like this?

do most americans think like this?
T1: A RISC-V Vector processor implementation
They're one of those lifestyle brands, like Disney, which people feel personally connected to and personally attacked if you attack it.
Yeah, I made the same argument but they seem convinced it's better to just provide their own naming instead of separating the two. Maybe marketing gets a bit easier when people believe them to be the same?

ollama has their own way of releasing their models.
when you download r1 you get 7b.
this is due to not everyone is able to run 671b.
if its missleading then more likely due to user not reading.

I'm not super convinced by their argument to blame users for not reading, but after all it is their project so.
"Drawbacks" was the wrong word to use here, "potential problems" is what I meant - collisions. Normally a follow up question: how do you solve those. But drawbacks too: memory usage - us developers are pretty used to having astronomical amounts of computational resources at our disposals but more often than not, people don't work on workstations with 246gb of ram.
Well, sounded to me like OP wanted a career. What I described leads to a career.
There is no way I'll read all that text from the demos...

AskPandi has a similar feature called "Super Search" that essentially checks more sources and self validates it's own answers.

iT's AgEnTic.

The answers are easier to digest, if you search for products, you'll get a list of products with images, prices and retailers.
Stop producing a new C++ code as much as possible, then. It doesn't help to nitpick the weakest possible interpretation without acknowledging as such.
Fun read. Minor typo:

s/the the/the/g;
Let me give you an example from yesterday. I was learning tailwind and had a really long class attribute on a div which I didn't like. I wanted to split it and found a way to do it using my JavaScript framework (the new way to do it was suggested by deepseek). When I started writing by hand the list of classes in the new format copilot gave me an auto complete suggestion after I wrote the first class. I pressed tab and it was done.

I showed this to my new colleague who is a bit older than me and sort of had similar attitudes as you. He told me he can do the same with some multi cursor shenanigans and I'll be honest in that I wasn't interested in his approach. Seems like he would've taken more time to solve the same problem even though he had superior technique than me. He said sure it takes longer but I need to verify by reading the whole class list and that's a pain but I just reloaded the page and it was fine. He still wasn't comfortable with me using copilot.

So yes, it does make me lazier but you could say the same about using go instead of C or any higher level abstraction. These tools will only get better and more correct. It's our job to figure out where it is appropriate to use them and where it isn't. Going to either extremes is where the issue is
Retro Computer Wars 68060 Motorola Power [video]
>>>• Replication studies don't solve many of the most common types of scientific fraud. Instead, you just end up replicating the fraud itself. This is usually because the methodology is bad, but if you try to fix the methodology to be scientific the original authors just claim you didn't do a genuine replication.

>>>• Many papers can't be replicated by design because the methodology either isn't actually described at all, or doesn't follow logically from the hypothesis. Any attempt would immediately fail after the first five minutes of reading the paper because you wouldn't know what to do. It's not clear what happens to the money if someone gets funded to replicate such a paper. Today it's not a problem because replicators choose which papers to replicate themselves, it's not a systematic requirement.

Isn't this what peer review is for?
Seriously? I can assure you with 100% certainty that the most important point - "teach me something" - was entirely my own innovation.

I am tempted to take some offense at your comment. But I have to assume that you mean well.

You are correct that I don't work for IBM any more. What does that have to do with anything?
And unbanned as soon as OpenAI made ChatGPT compatible with the data/privacy laws in the country. I'm sure DeepSeek will be able to make the adjustments too.
The Guide to React Native Optimization
It doesn't mean creating a shell-script, when you install a package it comes with an openrc script. rc-update add servicename just adds it to the list of services to start on boot.

I have no problem with config, but openrc is simple and intuitive enough that no config file is needed.
They did brexit and started mattering even less than they already did: Not at all.
My worry is that all these recent capabilities attempt to minimize hallucinations by relying on extensive web search, however web itself is being actively degraded by unfiltered LLM output. After a certain point running your research agent against a ~5-year-old snapshot of the web will be strictly more accurate (for non-current affairs queries) than querying live web.
Show HN: Audio Samples of Microsoft Edge Text-to-Speech Voices
> Yup! I recently took a pretty substantial project I wrote in 2006 in Java that was sitting in a tar file, unpacked it, and it ran just fine with a current JVM. Even better, I was able to compile it again with no problems: again, with a modern JDK.

I've seen plenty of Java projects that don't work on anything more recent than JDK in the enterprise space (typically large Spring systems, not even Spring Boot, also DB drivers and pooling solutions seem to be quite brittle in that regard), though I will say more or less the same about old .NET codebases (before Core was a thing), old PHP, Node.js and so on.

Most of the time, it comes down to complex dependencies.
It is very interesting how salty many in the LLM community are over Deep Seek.

DS has more or less been ignored for a very long time before this.
Working on your specialty or becoming more useful as an engineer is a choice you have to make. You were promoted and assigned somewhere to help. If you can help, then this will make you look great. If you can't, your attitude will make you look great, or awful, depending.
I didn't miss that context, I understand who Anthropic are.