skysight-inc/HackerNews huggingface dataset:
> it's all a shitshow of dissonance between the technical and managerial sides. Workflows that are designed by a committee of the people who are not going to do the work but will manage it, implemented by consultants that sell themselves as specialists in "integration", usually because the company is too cheap to have its own internal set of good developers to drive such projects.

Preach!!

> Being opinionated as a product actually matters in the end, but there's no incentive to not try to reach every single possible customer in a market.

Yes undoubtedly so. I’ve seen a lot of companies using Monday.com for non-tech projects and the endless flexibility / generality of the tool leads them to just waste a ton of money and time, in the end they are none the wiser that the issue is them all along.
I'm currently reviving an old project of mine to rewrite Unix core tools in Ada. It's like a dress rehearsal: if I can write simple stuff like cp, ls, cat, etc. in this cantankerous but powerful and safe language, I'll be set up to write more complicated stuff in it.
Mm.

As it happens, I've just been using it this weekend to write code for me. Two things:

(1) it's not business critical code, it's a side project that I want to get done but otherwise wouldn't have energy for. Especially not in this heatwave in a century old building that has no air-con.

(2) my experiments are a weird mix of ChatGPT wildly messing things up and it managing to get basically everything done to an acceptable result (not quality of code, quality of output). Sometimes I have the same experience as you, that it's just aggravating in its non-comprehension, sometimes it's magical.

I don't know if it can be magical more often if I was "better at prompting". But I do know that I also get aggravated (less often) by other humans not understanding me, and those are much harder to roll back to a previous point in the conversation, edit the prompt, and have them try again :P

As for code quality… well, sure. Stuff I'm asking ChatGPT for is python and JavaScript, and I'm an iOS dev. I can't tell when it's doing something non-idiomatic, or using an obsolete library or archaic pattern in those languages.
On point 1 I checked the polls and they look no different than Bidens. Recent articles say the same thing. So that can't be why they chose her.

"A flurry of polls conducted in the wake of the June 27 presidential debate showed Harris performing roughly the same as Biden against Trump (who has been leading the president by a slim margin for months), and more recent polls after the attempted assassination of Trump show similar trends."
> There was no real 2024 democratic primary

This was also a subversion of the will of primary voters. It's not a defense. A huge portion of Democratic voters wanted the candidate replaced, and there were Democratic politicians that announced their intention to be the candidate that replaced him, and others undoubtedly who would have if there hadn't been so much pressure not to, yet a serious primary wasn't run.

Democratic insiders decided that no one was going to run against Biden, Democratic insiders decided after the debate that Biden was not going to run. Democratic insiders will also be choosing who will run. The most democratic and likely option will be Harris (because that's her job) but she was also chosen by Democratic insiders in 2020, not by Democratic voters, who mostly hated her. If not Harris, then Democratic insiders will either choose an arbitrary process or simply directly choose another candidate.
The real answer is a bit later in the article I think. It produces summary only about what was in the training data. Works for someone's vacation blog, but anything novel can get lost easily.
Hello,
The AI is meant to show you prices and give you links to order online, it doesn't work with physical stores.
I thought this was going to be open hardware or at least custom firmware that could replace Tizen or webOS. Imagine my disappointment when I click and it's a laptop strapped to the back of a TV.

Does this do anything that existing solutions (OSMC, LibreELEC, Jellyfin MPV Shim) don't? From reading the source blog post it doesn't look like it. HDMI CEC, navigation without a mouse and keyboard (an airmouse is not a viable solution imo, at least use a Flirc), casting... all can be had better elsewhere with smaller, cheaper, quieter, more discrete hardware with lower power consumption.
I don't think he did. The timing is too convenient after two weeks of him reassuring people he would win over and over.
> There's a fundamental problem with all these "summary" tasks, and it's obvious from the disclaimer that's on all these AI products: "AI can be wrong, you must verify this".

> A summary for which you must always read the un-summarized text is useless as a summary, this should be obvious to literally everyone

Nah, it's still useful if the summary is usually right or mostly right. At the limit, it's not even clear that something can be summarized perfectly.

Consider that the alternative to reading the summary often isn't reading the entire text yourself. It's reading nothing.

Also, in my experience, these tools often fail when it comes to questions with a definitive answer. E.g. if you pass them a lot of text and ask a detailed question with a very clear answer, they often get it wrong. But when your question is vague like "summarize the text," they're very useful.
You are wrong, there is no such law in Sweden. But the person you’re replying to isn’t really correct either. Electioneering ramps up slowly over the calendar year but since the election always is on the second Sunday in September there is a lull in July during vacations and then way more activity in August.
I must admit that I don't know all the nuance of campaign finance laws, but the donors gave their money to a particular campaign. It isn't completely clear to me under what circumstances those funds can be pledged to another candidate without getting the original donors' sign-off. But as I understand it, much of the Biden/Harris money is restricted to the campaign.
I’ve experienced this with the extremely weird but cool intel compute cards: https://cdrdv2-public.intel.com/780985/nuc-13-compute-elemen...

Running a test linux build, 1/5 times it will crash/reboot mid test. :(
Somewhat disagree with the point being made here. The fundamental assumption for humans is that when summarizing we will pay more attention to important bits, and sort of only give a passing mention to others if needed. For any model, the context is the only universe where it can assign importance based on previous learning (instruction tuning examples) and the prompt. For many, shortening of the text is equivalent to summarizing (when the text is not as long as a fifty page paper*). Output depends on the instruction training dataset, and seems like unless a model is trained on longer documents, it would not produce those kind of expected outputs. In a chain of thought reasoning scenario, it probably will. With Gemini, they definitely tested out long context and tuned the outputs for it to work well as it was their value prep - shown in I/O no less.

I have been working on summarizing new papers using Gemini for the same purpose. I don't ask for summary though, i ask for the story the paper is trying to tell (with different sections) and get great output. Not sharing the links here, because it would be self promotion.
I feel like the only characteristic needed to be a popular speaker is self-confidence. Have you seen most of the word salad coming out of Trump's mouth?
The rules set by state law and Congress for candidate selection offer a pretty wide berth in terms of methodology for selecting which candidates appear on the ballot. There's no (federal) Constitutional mandate for primaries; procedures for how a state selects its presidential electors are up to the legislators of each state.
Any specific rebuke in this case? Because it’s especially true for summarization, if someone doesn’t care enough to do a thorough job.
Doing one run of a stochastic system and holding it up like "see it works fine" is basically just citing an anecdote.
US had to learn the age old lesson too it seems - you just can't conquer Afghanistan (well maybe apart form wiping almost its entire population but even russians didn't do that). And its not a place for democracy, its tribal to its core and nobody likes giving up power held over many generations. It doesn't matter much how superior you think your cause is or advanced equipment deployed.
If that secretary’s summaries were as consistently wrong and unhelpful as those ChatGPT generates, they would be fired.
I don't, in the same way I don't say that i'm taking an internal combustion engine bus to get somewhere - what powers the bus is not relevant to the solution
I believe OP is referring to the whole thing being mechanical and planned rather than it being authentic (such as reaching out to people out of genuine interest and mutual regard).
And it's such a double standard. Trump never pretended to speak clearly and now people can in good faith point out that trump has not shown signs of regression because there was nothing he was curating about his persona in the first place and thus nothing to regress.

Whatever Trump says can be construed as some sort of 4d chess hidden message because of a cult of personality that has developed around him. He can hint that asylum seekers escaped from mental asylums but his base will not suspect that he may be the one confusing the two words and instead they will just cheer at the grotesque image because that's the kind of politically incorrect thing they want somebody to say (regardless of whether Trump did that on purpose or not).

I have the feeling that whatever Trump will say and will do will never ever be scrutinized by his side in a way that even remotely resembles the scrutiny to switch Biden has to be subjected to.

And that double standard speaks a lot on the troubled times we're living through.
Something I find frustrating about summarization is that while it's one of the most common uses of LLMs I've actually found very little useful material investigating ways of implementing it.

Is a system prompt "provide a summary of this text" the best possible prompt? Do different models respond differently to prompts like that? At what point should you attempt more advanced tricks, like having one prompt extract key ideas and a second prompt summarize those?
Yeah it's asinine if you think about it for more than a few seconds. The implication is that there is no nuance. Humans are imperfect and AI is imperfect so therefore they are equivalent.
I have some questions for any willing to consider, though know in advance I am quite ignorant on the general subject.

I've been having a surprisingly good time in my 'discussions' with the free online chatgpt, which has a cutoff date of 2022. What really impresses me is the results of persistence on my part when the replies are too canned, which can be astonishing.

In one discussion, I asked it to generate random sequences of 4 digits, 0000-9999, until a specific given number occurred. It would, as if pleased with its work, give the number within 10 tries. I suppose this is due to computational limitations that I don't understand. However, when with great effort, I criticized its method and results enough, I got it to double the efforts before it lazily 'found' an occurrence of the given number. It claimed it was doing what i asked. It surely wasn't. But it seemed oblivious. I'm interested to understand this.

I'm sure I'll get some contempt fo my ignorance here, but I asked to analyze pi to some unremembered placeholder until it found a Fibonacci sequence. It couldn't. Maybe one doesn't exist. As obvious as this might be to smarter primates here, I don't understand. I was mostly entertaining myself with various off the hat things.

What I did realize, is what by my standards, is fierce potential. This has me wanting to, if even possible, acquire my version with, perhaps, the possibility of real time/internet interaction.

Is this possible without advanced coding ability? Is it possible at all? What would be a starting point and some helpful pointers along the way.

Anyway, it reminded me of my youth, when I had access to a special person or two and would make them dizzy with my torrential questions. Kindof a magic pocket Randall Monroe, with spontaneous schizophrenia. Fun.

Edit note: those were but a couple examples of a lot more that I cannot remember. I'm hooked now, though, and need to come out my cave for this, and learn more. I have some obsolete python experience if that might be relevant.
These videos would fit very nicely into an undergraduate course segment on motivated reasoning. As viewers, it's incumbent upon us to determine whether the Musks and the Thiels of the world have our best interests in mind and, if not, whether their support for any particular candidate might reflect that.
Co-Founder Assessment Playbook
Nations first mute text-only President?

The current generation reaching voting age would much rather send a text than call so.....
What a waste of money to pay these parasites to let the public see your research.

It’s just as much a waste of grant money too. Whether that comes from or from a nonprofit, padding the pockets of some publishing company gatekeeper is in no way what anyone should expect their money to go toward.
Line Goes Up – The Problem with NFTs (2022) [video]
Its easy to create spending bills with 1.7T annual budget deficit, harder to understand if there will be positive ROI from these spendings.
Please post the cpu-z (win) or cpu-x (linux) chip make/model for other users to compare/search.

If there is enough data here, we may be able to see a common key detail emerge. i.e. if the anecdotal problem(s) remain overtly random, than a solution from the community or OEM may prove impossible.

Thanks in advance, =3
Trump has not been in office since January 2021; how could he have tanked that bill?

Using Trump as an excuse for not passing any bills on immigration, LGBT rights, abortion, etc when he didn't hold any political position for 4 years is the very definition of ineffective leadership.
Exactly, people are overlooking how much he did not want to quit.
Yeah partisans arent good at winning friends and influencing people in their pathetic partisan power struggles

They’ve spent nearly a decade isolating themselves in an algorithm fueled mirror room, while disassociating from everyone that doesn't already agree with them 100%

instead of any color coded “wave” occurring despite their recurring delusions, there’s gridlock in the senate, no filibuster proof majority, they’ve lost affiliation and independents are the largest political affiliation in the country now with almost zero representation
Nope, and probably never will be.

Roku TVs have signed boot and boot loaders, and the attack surface is so small, they haven’t had a public root exploit in about a decade (edit: there was one in 2021 I missed.)

Google TV is just Android TV, complete with reusing Android chips and Android Secure Boot.

The other manufacturers might have more weaknesses (perhaps webOS would be more open), but it’s very vendor and board specific.

So the question: A. Who can reliably defeat secure boot; B. Who wants to write Linux drivers for every TV ever sold?, and C. Who wants custom firmware if you well never get 4K or 1080p because the DRM isn’t happy?
That's awesome, thanks!

I need to print big tables of data though, I remember hitting limits before when I've tried to pass too much as shell args.
Most of America could be considered a developing country.

Only a few places in the Northeast and West Coasts along with isolated cities in the interior really qualify as modern when you look at metrics like good governance, maternal mortality, access to healthcare, and health of democracy.
That is exactly my design (or, rather, a design I remember reading in the #riscv IRC room), taking the "could also have only one DLEN-sized table chunk input at the obvious cost" path; i.e. to extend your specification to my double-DLEN-chunk method, you'd have it find two different indices that each select a separate register, and blend those shuffled together all in one uop.

https://github.com/llvm/llvm-project/issues/79196 also mentions this in "we want the elements to come from as few DLENs of the source vector as possible"; and down the comments there is me having had too much fun writing code to fill in "I don't care" index elements such that they don't add any more required chunks, in a completely-DLEN-agnostic way.

I don't think this is necessarily that bad for ooo; it's really "just" variable latency, which would already exist to an extent on cores which dynamically scale based on VL (though, granted, not all would be such, and the exact latency would be found much later down the pipeline even then).
You meant to say "to also send a copy to the GRU", right?
Right, so you don't get to pick your leader.
An x86 processor can detect when it makes a serious error in some pipelines and rerun these steps until things go right. This is the first line of recovery (this is why temperature spikes start to happen when a CPU reaches its overclocking limits. It starts to make mistakes and this mechanism kicks in).

Also x86 has something called “machine check architecture” which constantly monitors the system and the CPU and throws “Machine Check Exceptions” when something goes very wrong.

These exceptions divide into “recoverable” and “unrecoverable” exceptions. An unrecoverable exception generally triggers a kernel panic, and recoverable ones are logged in system logs.

Moreover, a CPU can lose (fry) some caches (e.g.: half of L1), and it’ll boot with whatever available, and report what it can access and address. In some extreme cases, it loses its FPU or vector units, and instead of getting upset, it tries to do the operations at microcode level or with whatever units available. This manifests as extremely low LINPACK numbers. We had a couple of these, but I didn’t run accuracy tests on these specimens, but LINPACK didn’t say anything about the results. Just the performance was very low when compared to normal processors.

Throttling is a normal defense against poor cooling. Above mechanisms try to keep the processor operational in limp mode, so you can diagnose and migrate somehow.
I’m confused by your reply. The law says you need someone on-site, not that a training class is sufficient. The part of my comment that you quoted was based on the idea of having someone on-site monitoring the workers.
Doesn't she lose bluecolar npoc without Joe?
> if Russia just put one on a satellite and didn't tell anyone, does anyone have any way to notice?

Yes. Satellites are not transparent so they occlude the sky behind them for anyone who is watching, which allows discovery of new satellites. Imaging them and determining trajectory via doppler etc comes after you know it's there.

See: https://www.space.com/amateur-satellite-trackers-on-global-l...
Even if they didn't mean that, drunk or not, the US president has the sole authority, both legal and practical, to launch a nuclear strike.

Respectfully, you might want to read something more current on the subject. The excellent book Command and Control [1] is a good place to start.

The "protections" you appear to be alluding to presumably mean the "NCA"'s role in this. That's a term that has no official meaning since 2002 (and before that the president also had the sole authority to order nuclear strikes).

1. https://en.wikipedia.org/wiki/Command_and_Control_(book)
That's a shame, because it'd be one of the more useful things that LLMs might have been used for, and I had - basically on faith - assumed that it was providing genuine analytical summaries ...

Of course, it obvious in hindsight that to create a useful summary requires reasoning over the content, and given that reasoning is one of the major weaknesses of LLMs, it should have been obvious that their efforts to summarize would be surface level "shortening" rather than something deeper that grokked the full text and summarized the key points.
Just a note on your gun death comment. The chance of dying by a gun in the US is very small. Of those killed by guns in the US, less than 3% are killed by anything resembling an "assault rifle". Over half of all gun deaths are suicides, so even those numbers are inflated if what you want to know is "how worried do I need to be about dying because the 2nd amendment allows assault rifle ownership?"

The quick answer is "very little".
Potemkin villages for the young foreign revolutionaries and misery for the locals.
Fine-tuning is almost certainly the wrong way to go about this. It's not a good way of adding small amounts of new knowledge to a model because the existing knowledge tends to overwhelm anything you attempt to add in the fine-tuning steps.

Look into different RAG and tool usage mechanisms instead. You might even be able to get good results from dumping large amounts of information into a long context model like Gemini Flash.
Simple, that's a false equivalence argument that ignores not only error rates, but the quality of the errors made.

https://en.wikipedia.org/wiki/False_equivalence
Ah, that's very helpful, thanks! I'll have a dig into this at some point relatively soon.

An example of how I might provide references with page numbers or chapter names would be great (even if this means a more complex text-extraction pipeline). As would examples showing anything I can do to indicate differences that are obvious to me but that an LLM would be unlikely to pick up, such as the previously mentioned in-character vs out-of-character distinction. This is mostly relevant for asking questions about the setting, where in-character information might be suspect ("unreliable narrator"), while out-of-character information is generally fully accurate.

Tangentially, is this something that I could reasonably experiment with without a GPU? While I do have a 4090, it's in my Windows gaming machine, which isn't really set up for AI/LLM/etc development.
You are asking an meaningless question:
If I have everything, will I have this one thing

If you have everything, you have anything

If you have infinite capital, then you have AGI
I hear a lot of anecdotes and noise from YouTubers around this but little to no actual data or analysis. I am a skeptic until I see concrete data. That covers both the mobile and desktop issues.

Observations so far are limited to:

I have seen actual evidence that some W680 boards have been shipping with an unlimited power profile which will toast a CPU fairly quickly. As to who’s fault that is and if this correlates or is casual to the rest of the reports I don’t know.

My own Asus B760M board shipped with an unlimited power profile. I had to switch it to “Intel Default”. This machine has been under heavy load with no issues so far.

When I have done research I have only found people reporting this on custom build systems or low balling “servers”. I haven’t found any viable big brand system failure reports yet (Dell/HP/Lenovo etc). While some of this might be statistical failures I’d like to see configuration eliminated from the data as a cause first.

I think it would be rather nice at this point if Intel produced their own desktop boards again with their own tested BIOS. So we have something viable to compare against a reference system rather than the usual ugly junk shifter outfits or big brands. A fully vertically integrated component PC would be a nice thing to have again. They just worked!
Calling out the Russian invasion before it happened and bringing allies together in the days after.

Slava Ukraine
Winning elections is only a part of why the US President must be an effective communicator. Even with the greatest staff supporting them, poor communication will hamper their ability to do the job, especially in a crisis situation.
Actually the gdb implementation predates rr, but (as an rr maintainer) I have to say that it is vastly inferior to rr. It's about 1000x slower than rr, and can't record across system calls or multiple threads or processes. It's so limited it's really a different feature.