skysight-inc/HackerNews huggingface dataset:
if i know a colleague is uncomfortable to speak in a group i can collect their ideas in person, and share it with the group, but ideally the protocol should be public. so create a public chat group with only the two people joining.

if the issue is that the person is afraid to speak up because of being ridiculed for their ideas, you have a culture problem that needs to be adressed.

if the shy person is new, addressing the problem can be as simple as having the new team member do pair programming sessions with everyone on the team, so that they can get to know everyone better, which will make them more comfortable to speak up. maybe their previous job had a bad culture that influenced their behavior.

those pair programming sessions can also help you identify if there are particular people that cause problems by being intimidating in some way to others. sometimes pair programming can even fix those problems, by allowing the two to get to know each other better and learn to respect each other. that doesn't always work though, and care must be taken that the person who is "afraid" to work with the "bully" is not forced to an interaction they are not comfortable with. if the discomfort is that high a more cautious approach is needed. especially if the person afraid is a long term team member.
> I've heard that there are screen lifetime issues?

This has gotten much, much better, especially with "tandem OLED" where you just stack two of 'em on top of each other. It should be fine these days.

> Also, from my limited experience with a single OLED screen, it seems that most stuff was created for a certain kind of screen without as much colour fidelity, and now that stuff seems far more...obnoxiously "saturated"?...on an OLED screen.

That's up to the display manufacturer to calibrate the screen. The content should just be what it is and specify its colorspace properly. (Note, "properly" depends on the environment around you, so if you really care about this you have to participate too.)
I suppose that by CAD you mean mechanical CAD, with which I have less experience.

On the other hand electronics CAD had been run mainly on Solaris decades ago, but for the last 20 years Linux has been the most likely host, including for the most expensive commercial professional solutions.

I have never heard of anyone using macOS for any kind of electronics design.
Yeah, they are translations from foreign languages, quite old and written in a poetic manner, not an easy reading even for a native.
No, that is irrelevant and false. False, because we also access sub-worlds - the world model is made of contexts -, like LLMs (not «AI»).

Irrelevant, because for the intended purpose (reasoning over a reliable representation of the world) there is no need for an interactive stream - the salient examples of interaction, cause and effect, are provided by the dataset.

A large perception model "LPM" will not be superior to a large language model "LLM" if its underlying system is not superior.
That's interesting. I downscaled the images to something like 800px but that was mostly to try improve upload times. I wonder if downscaling further and with a better algorithm would help.. I remember using CLIP and found different scaling algorithms helped text readability. Maybe the text is just being butchered when its rescaled.

Though I also tried with the high detail setting which I think would deal with most issues that come from that and it didn't seem to help much
> about $500-1000 https://eu.mouser.com/c/semiconductors/memory-ics/sram/?memo...

Only because you're including RAM spec'ed at 75pS access times.

If you limit the selection to 133MHz (the slowest 'max speed' - ridiculous, you can still easily purchase NEW 50nS and 70nS SRAM elsewhere, this is why I don't buy from mouser)...

Then the price falls to £5 for a 32MB (256Mbit) chip, which isn't excessively priced, but it still more than I paid for similar chips a few weeks ago.
I don't think it will work like that. It is necessary to run the computation to get the result, even if you transfer the result back in time. So the world will end up running a lot of computations while knowing their future results. These computations will be a new kind of a tech debt, people will choose between adding one more task to the existing supercomputer (and slowing all the tasks there), or creating/leasing another supercomputer to finish some tasks early and forget of them finally.
Amazon culture was on a downward trajectory for a while before this, but the decay really accelerated in 2022 and has only gotten worse. No amount of face-to-face contact will fix it, as there are now too few people (outside an elite group in Seattle) who really know what "Amazon's peculiar culture" really means.
I see people take photos on the train tracks all the time and trains are pretty silent.

There would be a lot more dead.
This Week in Plasma: Discover and System Monitor with a Side of Wine
PyPI Revival Hijack – technique exploited in the wild, puts 22K packages at risk
Every time I hear about mobile Linux releases I get excited just for the chance to get away from Android and iOS, then I get disappointed to find that the list of things that don't work includes like half the phone
There is no leaving out politics. Everything is political.
Going back in the past requires checkpointing the past, which can be very expensive, but maybe cheaper with the right kind of time-indexed data structures underlying your programs. So you just wind back time and begin fixing data structures with your backward change until you are consistent at head time again.

But uhm, if you actually want the future to affect the past formally, that is going to be something really different, so I’m not really sure.
Option to use a local LLM?
This is a pitfall. I’m working on something similar (internal solution) and dynamic task graph bites back hard very quickly.

Domain I’m working on is very prone to a failure so having simple visualization/interaction (e.g. click to inspect/retry) is an important feature.

For that task graph needs to be resolved and static before actual execution phase. Nothing prevents multi-loop resolution (i.e. task graph which result is a task graph). Just make sure artifact sits in-between.
There are some apps (OpenVibe and Yup) that let you post to multiple places.
> Given how often people seriously say things like the top level comment being responded to around here, an explicit /s is almost necessary since it can be hard to distinguish from the usual cynical dismissive comments.

This is what satire is.
As an Australian here, I just had my mind blown that someone in the anglosphere didn't know "Murdoch".

Murdoch is more than Fox News. Just ask any Australian or Brit .
Ah great, he doubles down on it. Good stuff.
>Also, the wood frog's ability to withstand freezing may help researchers discover how human organs used for transplants could be frozen and thawed without damage. This would increase the allowable time between removing an organ from a donor and implanting it within the recipient, which could make many more transplants possible.

While certainly some good would come of this, imagine the unintented consequences of such an advancement, especially in a world with stark income inequality.
Reminds me one thing they could do that would improve BART ridership is to run buses between BART stations after hours.

Take BART in the early evening, miss the last train out, take the bus back.
Even if you're right, you said you were guessing, meaning you'd have to look it up.

To add insult to injury, snprintf does it differently.
Annual ridership is about 7m passengers (https://www.caltrain.com/media/34265) or 9m if we annualize the numbers in this article. At the same time, the Caltrain is losing more than $33m/year (https://www.caltrain.com/blog/2023/04/financial-future-caltr...) even though it recieved a huge $410m subsidy from the state government for the capital investment required to complete the electrification. So it's losing more than $5 per ride even ignoring capital costs. In fact, the farebox recovery ratio is only 25%, which is truly horrible even by public transport standards: https://www.caltrain.com/media/33996/download

The curmudgeon in my questions where it really make sense for the Caltrain to exist at all, given that it:

1. It is extremely far from covering its own costs
2. The subsidy provided by the state is regressive because it principally benefits the wealthy commuters along the line
3. It imposes substantial negative externialities on the South Bay both in terms of noise & traffic delays at grade crossings
4. The line and stations occupy very valuable real estate that could be sold and put to better uses
Hertz's Tesla Fire Sale Continues as Depreciation Costs Mount
From https://en.wikipedia.org/wiki/James_Lovelock

"In the mid-1950s, Lovelock experimented with the cryopreservation of rodents, determining that hamsters could be frozen and revived successfully.[14] Hamsters were frozen with 60% of the water in the brain crystallised into ice with no adverse effects recorded. Other organs were shown to be susceptible to damage.[15]"

And there's a Tom Scott's interview with James Lovelock:

https://www.youtube.com/watch?v=2tdiKTSdE9Y
We now think the myopia epidemic can be slowed – or even reversed
you bring up a good point. what matters is the forum where decisions are made. you can talk about ideas in private. but the ideas need to be brought up in the group before any decisions are influenced. especially if the private conversation is with a team leader. if a team leader hears an idea in a private conversation they should ask that person to repeat the idea in public. but also they should discourage team members to specifically approach them to bring ideas. that is what is meant by discouraging private conversations. of course you can talk in private, but if the idea is not repeated in public then it is as if it was never talked about
Ever heard of Chestertons fence? Coming into a government for over 300 million people without the faintest clue how it works, removing stuff that doesn’t look too useful is the worst possible strategy to improve efficiency. You don’t renovate with a wrecking ball.
The M3 line with 256Gb storage had a single SSD NAND chip which made it measurably slower than the M2 series with the same amount. Although irrelevant for most daily work it was a regression which seems to be fixed in the M4 line. Even then, I presume such a bit of bad news would trigger people looking for 'the best spec' to buy the storage upgrade.
What would RFKjr do?
Well, good for you that you don't need them. Other people like and/or need them though
I mean, it just felt to me that current LLM must architecturally favor fixed-length "ideome", like phoneme but for meaning, having conceived under influence of researches in CJK.

And being architecturally based a idea-tic element based, I just casually thought, there could be limits as to how much it can be pushed into perfecting English, that some radical change - not simply dropping tokenization but more fundamental - has to take place at some point.
What does that have to do with bound checks?
It's pretty simple. Right-wingers want to control what information their minor children are exposed to, especially at school. Left-wingers want to control what information adults are exposed to (e.g., deplatforming wrongthink).
It's totally normal for countries to screen for this stuff both at border entry and as part of the immigration process. In Australia we check at the border if you're coming from a country where they have certain diseases (e.g. yellow fever). If you're applying for some immigration status you need medical checks if you're from certain countries to screen you for certain conditions (e.g. tuberculosis).

It is absolutely the host country's responsibility to do this to keep their own citizens safe.
Manhattan is a better example - there is no fast alternative route between the city and airport, and that's why you see a lot of helicopter transfers. I can see this working in a lot of US cities where public transport is poor and the airport is far away - Seattle, LA, Bay Area etc.
I found 4o to be one of the worst, but I was using the API. I didn't test it but sometimes it feels like images uploaded through ChatGPT work better than ones through the API. I was using Gemini Flash in the end, it seemed better than 4o and the images are so cheap that I have a hard time believing google is making any money even by bandwidth costs

I also tried preprocessing images before sending them through. I tried cropping it to just the text to see if it helped. Then I tried filtering on top to try brighten the text, somehow that all made it worse. The most success I had was just holding the image in my hand and taking a photo of it, the busy background seemed to help but I have absolutely no idea why.

The main problem was that it would work well for a few dozen images, you'd start to trust it, and then it'd hallucinate or not understand a crossed out word with a correction or wouldn't see text that had faded. I've pretty much given up on the idea. My new plan is to repurpose the website I made for verifying the results into one where you enter the text manually, as well as date/location/favourite status.
Because the primary source's explanation is:

-s, --symbolic

make symbolic links instead of hard links

While a fine reference, it doesn't exactly explain what that means if you don't already understand links.
I've always liked scatter solutions for these kind of problems:

import numpy as np

def scatter_mean(index, value):
sums = np.zeros(max(index)+1)
counts = np.zeros(max(index)+1)
for i in range(len(index)):
j = index[i]
sums[j] += value[i]
counts[j] += 1
return sums / counts

def scatter_max(index, value):
maxs = -np.inf * np.ones(max(index)+1)
for i in range(len(index)):
j = index[i]
maxs[j] = max(maxs[j], value[i])
return maxs

def scatter_count(index):
counts = np.zeros(max(index)+1, dtype=np.int32)
for i in range(len(index)):
counts[index[i]] += 1
return counts

id = np.array([1, 1, 1, 2, 2, 2]) - 1
sales = np.array([4, 1, 2, 7, 6, 7])
views = np.array([3, 1, 2, 8, 6, 7])
means = scatter_mean(id, sales).repeat(scatter_count(id))
print(views[sales > means].max())

Obviously you'd need good implementations of the scatter operations, not these naive python for-loops. But once you have them the solution is a pretty readable two-liner.
Right, it's almost certainly a magnitude larger than 32B.
My understanding on China's coal plants is that it's not the number of them, it's whether they're running that counts. Coal-fired generation is currently cheaper than storage for backing up wind and solar generation and their plants are typically running about 50% of the time right now, expected to run less often as storage and more renewables come online. So China’s coal use could fall despite it adding more capacity.

https://www.sustainabilitybynumbers.com/p/china-coal-plants
I love to see how this works in practice. Most jobs seem to be gated by various interviews and maybe panels. At lower levels it doesnt seem knowing someone is an advantage beyond avoiding the circular file. Smashing the interview seems key. I have seen at higher levels (higher EM levels) yeah people move as a tribe.
Isn't that a problem with your code review process? Why is that person's code making it to production?

So again, maybe they're a bad employee but it seems like nothing's done to even try and minimize the risks they present.
It doesn’t suck for the majority of people in the country. For them, it’s what they’d love to see.

Funnily enough, comments like yours are also what they’d love to see. Seeing leftists in tears over the policy changes we’re going to see is a great form of entertainment for many people.
My life for Aiur!
For what is worth I spent couple weeks evaluating Cue and I don’t think it’s mature enough for production use in context of task runner.

There are undocumented quirks (and documentation gaps) requiring hours of experimentation, some subtle bugs and ergonomy paper cuts.

For solution integration solution has to be approachable, and as much as I have sympathy for Cue it just isn’t one. It feels like one needs PhD in software engineering to use it.

This is IMO reason why people go for things like Airflow - popularity and ease of entry. Using Cue in distributed environment isn’t that hard. It can be used directly from Go or wrapped in Erlang/Elixir port.
New Google Gemini model goes straight to the top of the LLM leaderboard
Seems very nice buuuut why did they put the USB-C on the back if it is supposed to be wall mounted and needs to be charged every couple of months? Why not on one side??
You can buy sheets of rubbery material with sticky backing and metal powder embedded in the rubber. One supplier is WarMag - people use them as a surface for putting magnetic-based figures on.

I came into possession of several sheafs of the A4-sized ones, which now serve as "generic surprisingly heavy objects".
My experience based on web oriented technology with overcomplicated systems choices :

- End to end testing is good for critical path (customer can create an account ? Otherwise he will leave for another company = very bad). It cost a lot to maintain thus, must be very important requirement. Page pattern with selenium is good.

- Hight level Integration testing (real component, no mocking) is great : tons of error come from the integration of the many components/teams (BDD, ETL, external API/lib, [...]). When tested from your API end point, you have a great ROI and good security harness to avoid regression. By the past we used postman but there is better alternative now.

- unit testing : good when you have control of the solution. As software integration team, working on very legacy solutions, core logic doesn't belong to us. Unit test have not been helpful in our case when using mock (too much maintaining cost)

Can be used for other context than web
Reverse Engineering a trojan Telegram clone
"Corporate culture" has had a downward history everywhere since companies started weaponizing "culture" to demand a one-way loyalty from employees so as to extract more unpaid labor from them.
Beaglebone RISC-V + FPGA

https://www.beagleboard.org/boards/beaglev-fire

That gives you access to ModelSIM via Microchip’s Libero suite.
Seems also important to consider the positive impacts?

- traffic reduction
- emissions reduction
- quality of life / time recovery of train vs driving
- socialization of society

That’s off the top of my head.

Not saying those justify anything however costs are not the only factor.
I worked for multiple companies remotely and the thing that worked the best for me was:

- Everyone must be connected to Discord in an audio room.
- Encourage pair programming.
- Record every meeting make them available to everyone.
- Log every decision in a central place, easy to browse and discover.
- Meet regularly (IRL) with you colleagues.

By far the most important point is always being on Discord. You can quicky jump in someone's room and feel very connected to your teammates. Obviously, like in a real office, don't disturb someone if it can be managed asynchronously.
Well, the last time I checked (it was 2 years ago so maybe something has changed since), all of the emojis were explicitly on the list of codepoints that are prohibited from appearing in IDNs. So all those domain registrars that accept emojis in the domain names just simply didn't bother to read the standards they were supposed to implement.
Majority control of the legislature is what I'm talking about. In Germany and France that's how a party comes to power, not through presidential elections. There is no such thing in Germany, though in France it is naturally more complicated :) Even there, Macron still has power only because parties are somewhat tied. If there was a clear winner, he would have no choice but to give them control.

The courts? If you have majority in the legislature, you can pass any law you want, and the courts are obligated to follow the law. You think they would just rebel and disregard laws that they consider not-ok?

In any case. The courts need to get paid, and need offices and electricity and computers and support from police and other branches. And judges need to be appointed, and sometimes leave. One way or another the courts would get converted to the cause. All the courts in a country are a lot of people. There are always some who would betray. Just adjust the laws and the salaries and everything you can (which is a lot if you own the legislative) to advantage those on your side and disadvantage those who oppose you. Prosecutors are typically under the executive, so start some made-up investigations against the most prominent judges that oppose you. No need to do it for all, set a few examples and the others will see the error of their ways. No need for the investigations to get convictions in court. Just place doubt on inconvenient judges, and use the media to amplify it. Your side of the media, while the other side also gets converted. Converting the media is much easier, again, using executive and legislative power.

The constitution as a document is irrelevant. The court(s) that interpret it would just get converted to the cause in the same way. This has already been done in Poland and the US, and I presume in Hungary, since there's no news about them creating trouble.

> in most countries the Lisbon treaty is either implicitly or explicitly above local law

The government and the converted courts will just start acting as if the Lisbon treaty does not exist. Who or what can enforce it? Look at Hungary. Look at Poland before the recent change. Look at Slovakia. A treaty has no power over a country that does not whish to follow it. Look at the Budapest memorandum and soon enough we will see Trump ignore the NATO treaty.

In my country the constitutional court routinely says our constitution (and therefore their decisions, which always favor a certain party, and corruption in general) are above the Lisbon treaty. The EU pretends nothing happened (presumably due to the war).

> the Nazis did, after all

Exactly.
The One who created it with care and compassion has arranged its pain. Perhaps it is like us waking up from sleep."
First of all, let us be clear that a «Perfect transformer architecture», in order to correctly perform induction of the dataset (and «generalize over» it), must also be a "perfect" reasoner. The new architecture will have to have that module working. And you reason over a world model (by definition), hence the problem whether a "proper" world model is there, and how good is its quality.

You seem to be conflating a «self» and «the thing doing the modeling». But there is no need to confuse the "self" as a perceptual object part of the world model, and the processor. The "world model" is the set of the ideas (productive to statements) describing reality. The perceptual self may not be greatly important in the world model (it will not be for a large amount of problems we will want to propose to the reasoner), and the processor will be just a "topic" in the world model, in the descriptive form (the world model contains descriptions of processors).

The expression about a «dataset that [would have] no "world model"» makes no sense. The dataset is the input of protocols ("that fact was witnessed"), the world model is what is reconstructed from the dataset. You have a set of facts (the dataset): you reconstruct an ontology and logos (entities and general rules) that make sense in view of the facts.