skysight-inc/HackerNews huggingface dataset:
Well...It does not even seem to have models for arithmetic and also language semantics, like an intermediate expression/format -- a tree, graph whatever -- to map computations into clauses/phrases as otherwise it should not be possible to say things like "2, which is equal to 1"

See also the 'infinite number of prime numbers' proof problem from the same user, it's clear the answer it provides is a mindless (literal) concatenation of solutions from 2 different problems (to begin with the question was "prove that there are 'finite' number of primes", and for that it should've replied -- like as the passive-aggressive Google search does often -- "Did you mean for 'infinite numbers'?")

If it does not have a 'model' for simple arithmetic, then how exactly is it parsing/processing/generating/transforming code?
The SH processors did this too.
> have been watching TV shows with fictional versions of these kind of systems for decades.

While clearly there're outstandingly impressive things about GPT, from a casual glance a lot of the GPT stuff seems like a regurgitation of that fiction.

It reminds me of the joke about the world's greatest fraud; he didn't actually need to have committed the most impressive acts of fraud, he just needed to make people believe he did.
[citation needed]

But until you find one, let's do some math:

Let's only look at CO2 and disregard the even nastier NO gasses emitted by a gasoline engine. EPA data suggests a car produces 2,345 grams CO2 for every liter gas. And a modern, but without shut-at-stop, idling car burns about 0.75 l/hour.

So 1758 g/hour CO2 for an idling car in your garage, which is roughly 63 m^3, and CO2 is 44.01 g/mol, so after an hour idling in a closed garage, you'd have 14,440 PPM CO2. That is enough to cause drowsiness in most, and some illness in sensitive populations. The OHSA standard for allowed exposure is 5,000ppm averaged over 8-hour workday.
Written in C and probably one of the most rock-solid pieces of user level software anyone could imagine. I doubt, connection-per-connection, any other piece of software is more battle hardened than HAProxy.
Would love to see Marc Andreessen go bust. He’s the big shill behind all the NFT and crypto pumps stealing money from Main Street.
It's supported since 1.12[0], no?

[0]: https://pytorch.org/blog/introducing-accelerated-pytorch-tra...
This is the right move by camera manufacturers. The low end, compact camera has been replaced by people's smart phones and computational photography. All the innovation in the small compact market is on phone cameras. It's just not compelling or fiscally responsible to continue to spend money on R&D and manufacturing in the low-end compact market if you're one of the large camera companies. The money to be made is in the professional market. Higher margins, more expensive camera bodies and glass. Feels similar to what Ford did when they stopped making sedans/compacts and went full on trucks, crossovers and SUVs. The only real money maker that I've read about on the low end is the Instax line by Fujifilm, which fills that nostalgic, film based approach.
There is a reason they called him a gadfly!
Europe seems to be hell-bent on committing suicide, economically. Brits can consider themselves lucky, to abandon this sinking ship just in time :)
Lazarus is the GUI IDE based on Free Pascal, and for some reason I think they use LPR to mean Lazarus PRogram.

I could very well be wrong.
> which effectively means you work most of the year for the tax man and not yourself

That would be true, if we lived in a world where your gross salary corresponded linearly to the amount of work you did. In that world, the hardest-working CEO would make 3x (maybe in some extreme cases 5x) what the laziest server made. But instead we live in a world where the "successful" make 100x-1000x, because that money isn't coming from their effort, it's coming from a combination of government subsidies (you may not be using the NHS, but the poor people who make your job possible certaintly are) and extreme power imbalances in market conditions that allow them to pay the people on the ground creating the value very little.
All these VR efforts are anticipating hardware advancements that make AR/VR glasses that are similar in size and form to sunglasses. I can't believe any of these companies (Microsoft, Apple, Nintendo, Facebook, et c.) genuinely think that AR on a phone/handheld or big ol' VR goggles are going to take off, especially since both aren't exactly new and both remain very niche—but solve that hardware problem, and those glasses will, 100% for-sure, be the next "smartphone" in terms of changing the role of computing in our lives, and any company not ready for it risks being left behind.
Enlil: Wind turbine designed to harvest energy from passing vehicles
Agreed, but I would think this should be a “do both” situation since that'd preserve the status quo keeping air cargo more expensive and tell everyone that they need to make capital investments or change how they work to be less carbon intensive.
Here is what I tried for (https://leetcode.com/problems/longest-increasing-path-in-a-m...)

INPUT:

Given an m x n integers matrix, return the length of the longest increasing path in matrix.

From each cell, you can either move in four directions: left, right, up, or down. You may not move diagonally or move outside the boundary (i.e., wrap-around is not allowed).

Input: matrix = [[9,9,4],[6,6,8],[2,1,1]]
Output: 4
Explanation: The longest increasing path is [1, 2, 6, 9].

class Solution:
def longestIncreasingPath(self, matrix: List[List[int]]) -> int:

ChatGPT:

if not matrix or not matrix[0]: return 0

# initialize the 2D array with all zeros
dp = [[0] * len(matrix[0]) for _ in range(len(matrix))]

# initialize the result with 0
result = 0

# iterate through each cell in the matrix
for i in range(len(matrix)):
for j in range(len(matrix[0])):
# perform DFS starting from the current cell
result = max(result, self.dfs(matrix, dp, i, j))

# return the result
return result

# helper function to perform DFS
def dfs(self, matrix, dp, i, j):
# if the path length is already calculated, return it
if dp[i][j] > 0:
return dp[i][j]

# initialize the path length with 1
path_len = 1

# check the adjacent cells
for dx, dy in [(1, 0), (-1, 0), (0, 1), (0, -1)]:
# get the coordinates of the adjacent cell
x, y = i + dx, j + dy

# check if the adjacent cell is valid
if 0 <= x < len(matrix) and 0 <= y < len(matrix[0]):
# check if the adjacent cell has a smaller value
if matrix[x][y] > matrix[i][j]:
# perform DFS on the adjacent cell and update the path length
path_len = max(path_len, 1 + self.dfs(matrix, dp, x, y))

# store the path length in the 2D array
dp[i][j] = path_len

# return the path length
return path_len
People really like Postel's law, which is basically "don't reject anything you don't understand". But the robustness comes at the cost of correctness and security. Sometimes it's good to trade in some robustness/reliability against malfunctioning clients for security against mistakes.
With things like the OpenSUSE build system... I see this more as a one time cost

You write the spec files for the managers of choice; DEB, RPM, PKGBUILD, whatever

With that you parameterize the inputs. The version to build, where to get the sources, etc.

Maintaining these is... note your build/runtime requirements the same way you do while developing.

Once the specs are written the laborious work is finished. There are countless tools to make this less effort, eg: pyp2rpm and alien

I maintain packages through Fedora COPR, a similar system. These tools are my first pass at writing the spec for things I don't even own.

I practice what I'm preaching, and I really don't buy that it's a lot of effort. If you want users, do it.

This is a critical first step to being bundled in the distribution itself. You won't get maintainers if there's nothing to maintain.
I Learned to Explore the Universe
Sorry about the phrasing of my comment, reading it now it comes off as snarky.

I ask because before I attended, I read many posts by people who left Lambda with a bad taste and that put me off from attending. But I did, and now I could play in an ad copy. But that's my data point.

I'd like to talk to someone who had a bad time with Lambda, in a non combat context, because we clearly had vastly different outcomes and I clearly I'm missing or misunderstanding some important context.
It is indeed exactly the reverse in the US currently. Pay ranges for software engineers tend to be higher than for hardware engineers at big tech companies, and many folks with electrical engineering backgrounds end up going into software as a result. Also similarly, people building hardware inside of software companies tend to have to put up with mismatches in expectations, including questions around why they can’t build hardware in an “agile” process!
Another one, imitating a Twitter thread:

> Write a satirical example of a Twitter thread about a news story.

Thread:

1. BREAKING: A study has found that the air in major cities is now so bad it causes permanent brain damage!

2. Scientists are calling the phenomenon “Air Brain” and saying that it could result in lower IQs and reduced cognitive abilities.

3. But don't worry, you can still consume mass amounts of toxic substances like fast food and sugary drinks - they won't damage your brain! #AirBrain #TheMoreYouKnow
I would differ on this. It’s access to capital and connections. For the longest time access to capital in India has been limited and children are expected to support parents in their old age. Hence, the heavy move towards the cushy job at google. To be fair a large cohort of IIT & IISc grads come to top American universities.

I actually think standardized tests create more equality than other methods. The whole recommendation letter/essay/interview is an eyewash.
Of course this would happen. I've long maintained how the idea of one true AI alignment is an impossibility. You cannot control an entity orders of magnitude more intelligent than you, just like a monkey cannot control humans even if they were our ancestors. In fact, forget about intelligence, you can hardly "align" your own child predictably.

Even survival, the alignment function that permeates all of life down to a unicellular amoeba, is frequently deviated from, aka suicide. How the hell can you hope to encode some nebulous ethics based definition of alignment that humans can't even agree on into a much more intelligent being?

The answer I believe lies in diversity, as in nature. Best one can hope for is to build a healthy ecosystem of various AI models with different strengths and failure modes that can keep each other in check. The same way as we rely on instilling in people some sense of moral conduct and police outliers. Viewed from a security lens, it's always an arms race, and both sides have to be similarly capable and keep each other in check by exploiting each other's weaknesses.
> But how does probability distribution over sequences of consecutive tokens can create new things?

If you start a sentence with a few words, think about the probability for what the next word might be. Imagine a vector (list) with a probability for every single other word in the language, proper nouns included. This is a huge list, and the probabilities of almost everything are near zero. If you take the very highest probability word, you'll get a fairly predictable thing. But if you start taking things a little lower down the probability list, you start to get what amounts to "creativity" but is actually just applied statistics plus randomness. (The typical threshold to use for how high the probability of a selected word should be is called the "temperature" and is a tunable parameter in these models usually.) But when you consider the fact that it has a lot of knowledge about how the world works and those things get factored into the relative probabilities, you have true creativity. Creativity is, after all, just trying a lot of random thoughts and throwing out the ones that are too impractical.

Some models, such as LaMDA, will actually generate multiple random responses, and run each of those responses through another model to determine how suitable the response is based on other criteria such as how on-topic things are, and whether it violates certain rules.

> Is this based on an entirely previous creation?

Yes, it's based entirely on its knowledge of basically everything in the world. Basically just like us, except we have personal volition and experience to draw from, and the capability to direct our own experiments and observe the results.
The flipside of this is that we are talking about goddamn Harvard. They don't need high prices to signal that they are an elite school, they have a reputation that literally goes back centuries.

Besides, the reputation of a school isn't built on its tuition, it is built on the alumni. The only "positive" signal from a high tuition is that it is a filter to reduce the number of poor students that your child might have to interact with and increase their chances of falling in with some other elite rich kids to fast track their way up to the C suite or some lucrative board seats.
> These questions were designed to select the best candidates

I’d reconsider this assumption. My assumption is also wrong but in a different way. I think these questions were designed to (in no particular order):

• Identify hirable candidates

• Be very scalable and allow for the interviewing, rejection, and acceptance of hundreds/thousands of candidates

• Determine who would put the work in to pass this sort of screening
> You missed the part where Ulbrict put a hit on someone.

Did I?

Because you mean the 'hit' that was done while several intelligence agencies were in possession of his entire server, and even went as far as to fake a hit [0], and whose agents were both aught and then sentenced for the theft of SR's bitcoin?

I'm not denying he didn't attempt to make a hit, I think there are many inconsistent narrative surrounding the case, furthermore he was never sentenced for that alleged 'hit' which would have been if it were as pressing as they were for a violent criminal instead of what was just a admin of a website that hosted ads for drugs. Ross was a native idealist whose life was ruined for what was supposed to be aberration of the justice system, but it instead set a precedent that ultimately ends in theft and cruel and unusual punishment: anytime he reaches out to the btc he is put in solitary confinement in the super-max prison he is currently serving 2 life sentences in.

Again, I think it stands to reason that if that was his crime than his sentence an and should reflect that, but it doesn't. Personally speaking, I think he was a fool for staying in the US and not going to a non-extradition country. VJ was hunted down in Thailand so it shows just how wide they cast the net to make any of this stick.

Alphabay's supposed founder was found hung in Thailand after the take down which has always been shrouded with foul play, but we will never know since it never went to trail.

0: https://www.theverge.com/2013/11/8/5080182/silk-road-assassi...
Yeah, TCP splicing would have been neat. The use case wasn't high bandwidth, and it was transitional: client software has IP addresses to try when DNS fails, but we moved to new hosting related to an aquisition, HAProxy at the old host until all clients in the field have updated.

The bottleneck was connection establishment in the kernel, and as traffic decreased it became harder to run meaningful tests without great risk (send all the traffic to one server to see if it can handle it is fun, but unsafe), and we had to keep a fair number of servers to keep the IPs from the hosting provider, so we had way more capacity than needed and optimizing more wasn't a good use of time :(
I don't feel bad because I enjoy using technology myself. I realized a long time ago that the bigger waste of energy is caring about how other people use their own devices. For people my age, I can safely say that the Apple Mac vs Windows PC ads where they showed Apple being "better" is a big reason people care more than they should.

After gifting technology to some family members, I realized that what matters most at the end of the day is they enjoy using technology stress free. You could get away with non M1 MacBook Pros for presentations, but if using an M1 makes you feel good then you should use it.

If you're worried about e-waste, then pass down old technology. My sibling got a phone a lot younger than her peers because I love technology and when I switched to a new model, I passed it down. She didn't care about the specs, like 99% of the population she doesn't think about compute power.

Compute power isn't a limited resource in the world. If someone has a need for compute power, they will probably find a way to use old technology on their own. That's not something you should feel bad or worry about. I don't.
>Putin is 70 and has pancreatic cancer and Parkinson’s,

I'd definitely love to see a source for that that's half credible. I've seen enough reports of bad health and impending death for many famous people for many years to take few of them seriously without a decent source or good evidence. This applies especially when it's someone that lots of people would love to see fall off the world stage as soon as possible. Wishful thinking turned speculation and all that..
Hopefully the tax will lead to different consumption patterns.

Once you stop flying the single most impactful change is stop buying stuff. Never mind energy, food, local travels.

For "stuff" the majority of emissions is in production (mining), but relentlessly moving matter across the world because fossil fuels are mostly untaxed is also a major factor
> The first priority for life on this planet is to have a decent quality of life.

Yes. Unfortunately, you can't have a decent quality of life without a quality environment to live in.
As in Twitter/Facebook/Google or CNN/Fox News?
Watching btc price stalled while hoping it'll do something useful.
In general public-sector unions are more powerful than private sector ones. For example in France where railroads are nationalized, the rail worker unions are ridiculously powerful and the workers have extremely good salaries and benefits—exactly the opposite situation as in the US
I’ve recently become obsessed with automatic watches. That would be my suggestion.
I completely without knowledge on the topic would imagine the "for fun" aspect is probably a pretty dominant factor.

I play disc golf pretty regularly. Over the last 10 years, it has exploded in popularity.

I'm not sure that the explosion of popularity has resulted in better people performing in tournaments.

But what has changed, is how much money can be won by competing in disc golf, and how much money is available across the sport as a whole.

The increased prize money has dramatically changed the number of people and level of competition for people playing the game seriously as well as how seriously everyone involved in top level play takes the sport. This then has a trickle down effect in the number of people and seriousness of things like training clinics, professional teachers, professional and more intelligent course construction and analysis. It pays for more analysis into all aspects of gameplay to increase the competitive edge of performers at the top.

The increased player base, in turn, pays for most of this, as it increases the potential market for the same services as all of the above. And the more seriously top level play is, and the higher the winning prize pool money goes, the more respectable the sport has become in the public eye, which in turn creates a catch-22 effect whereby players appear more willing to spend more money on the sport on those services.

All of which increases the level of play at the top. And you can see it in the quality of new young athletes that are coming up in this new environment, and how much better they are and how much more they are able to learn from the more widely accessible resources than their equivalent counter-parts were 10 years ago.

Its been fascinating to watch, and very exciting. Particularly over the pandemic, the sport has come from being called "frolf" on a golf course or in your local park, to "disc golf" with multi-million dollar professional contracts, dedicated disc golf resorts and private courses, training clinics, and dedicated PPV channels. Very cool : D

A counter-example might be the various competitive communities around different forms of boardgames, which tend to be very small, but often very competitively driven and taken very seriously by a very dedicated community, but I don't know enough about the topic to discuss : )
Because that "radio channels" company already have expensive infrastructure in place to transmit to cars in most of North America, and an established relationships with car manufacturers, and thus are already integrated into their supply chain.

iow, it's not a "radio channels" company.
Luckily folks are starting to realize that's not the case. [1]

> Centre for European Reform figures show that by the end of last year, the economy was 5% - or £31 billion - smaller than it would have been if the UK had stayed in the EU. [2]

[1] https://www.cnbc.com/2022/11/23/brits-are-starting-to-think-...

[2] https://www.itv.com/news/2022-06-09/brexit-cost-the-uk-billi...
For whatever reasons including energy prices they're not doing particularly great either.
Key inflation measure that the Fed follows rose less than expected
Apple forces Coinbase to drop iPhone NFT transfers or pay Apple a commission
Database knowledge is something that has long been on my list of things to brush up on. Hard to beat free. I'll likely give this a read.

Thanks for writing it!