skysight-inc/HackerNews huggingface dataset:
I would put most of the popularity for word lengths that are powers of 2 on the IBM System/360 (1964), rather than the PDP-11 (1970). The enormous popularity of the System/360 is what made computers standardize on bytes, along with words that were multiples of bytes. Prior to that, word sizes were all over the map: 6, 12, 36, as well as really random values such as 23, 27, 29, or 35 bit words.

This isn't to deny the popularity of the PDP-11, of course, but its use of 16-bit words was more of a consequence of the System/360. DEC's use of 12-bit words goes back to the LINC (1962) but by 1970, bytes were obviously the way to go.
The economic and diplomatic arenas are both canaries in the coal mine from a policy standpoint. When you see publicity around wargames, they are very much used as messaging to our own rivals.

I've seen an increase of these kinds of comments and conversations after the Russian invasion in 2022, but what most normies seem to have forgotten or not realized is that Russia and Ukraine have been in an actual shooting war since 2014, and US and NATO forces have been in actual armed conflicts with the Russian Armed Forces (not just Wagner) since 2015 in Syria and Libya.

The US (and our core Asia allies - Japan, Taiwan, Phillipines, SK) and China have not been in an actual shooting conflict yet. Situations of course can degrade, but you would have a very public leadtime of 6-9 months before any such conflict.
The othello example explicitly was trained on the rules of the game - it isn't suprising that you can find a representation of game state.

LLMs are trained on the "rules" of human written language, which are sufficiently distinct from anything in the actual world that find world modelling would, indeed, be a surprise to me.
Incentivized how, specifically?
The really big shift in ai in a sense was to reject the sense-model- plan- act cycle. I continue to see researchers assuming SMPA so although "everyone" knows this,"Intelligence without representation" by Brooks is essential. The alternative is sense-act in one layer, and model-plan over the top.
How is "Accelerate the wealth generation in developing nations" an alt-right idea?
multi-factor authentication will be what stands between us and AGI apocalypse, what a world
We’re hiring a Head of Growth, how can I get in touch or share more?
The Soviets bore the brunt of the fight against Germany. Roughly two-thirds of German casualties were on the Eastern Front, and the Soviets killed or captured about 9 million Axis soldiers, more than double the entire population of Finland in 1940.

https://en.wikipedia.org/wiki/Eastern_Front_(World_War_II)#C...

Edit: What do you think would have happened if they had sent 10m soldiers to Finland instead of 500k?
Can you add a library of documents? The model should use search to pad the prompt with relevant demonstration examples before generating the answer. It would be much easier to draw from a known library of text than just using raw GPT.
That has to be a part of it, of course.

Instead of us hoping for Facebook or whoever to grace us with weights for example, or having debates over copyrights, fine, let's have the US government (just like the efforts that gave us the internet ..) put together a program for national academies & labratories, research universities (such as Stanford), and private sector work together.

For example such a program can then insure that the most up to date gigantic model X has a public variant with public weights with regulations for usage by public and private interests.

And the issue of hoovering of content to create private models becomes moot, or at least far less problematic.
> Nukes have existed for 70 years and probably become much more accessible. Biotech could create thousands of humanity-ending viruses, today. These are fears that we live with and will forever live with, but we can't live lives only in fear.

Building nukes and bioweapons aren't as good of a business model as AGI though. The government was incentivised to at least take some precautions with nukes. Nukes can't be developed and launched by individual bad actors. AGI isn't that comparable to nukes for numerous reasons. Bioweapons maybe, but I wouldn't be in support of companies researching bioweapons without regulation.

It's not a choice between living in fear and going full steam ahead. Both are idiotic positions to take. The reasonable approach here would be to publicly fund alignment research while slowing and regulating AI capability research to ensure the best possible outcomes and minimise risk.

You're basically arguing in favour of a free market approach to developing what has the potential to be a dangerous technology. If you wouldn't allow the free market to regulate something as mundane as automobile safety, then why would you trust the free market to regulate AI safety?

Companies who wish to develop state-of-the-art AI models should be required to demonstrate they are taking reasonable steps to ensure safety. They should be required to disclose state-of-the-art research projects to the government. They they should be required to publish alignment research so we can learn...
Last I checked China, India, etc. still have a much lower per capita carbon footprint than the US.
> They're exploitable because they're economically desperate.

I can look around my coworkers, and... they're not economically desperate at all. Still got a meme-stonks problem though.

Its just untreated gambling addictions. These people are willing to lose tons of money on the off-chance of calling someone else "wrong".
It's difficult to use sign language without hands/arms.
There are limitations by notion on what can be viewed to thousands of records, but you can use a query to pull a filtered view of data in Notion. It's not just a 1:1 mapping but changes in Notion will persist through data in the database that is joined

It's really a way for teams such as customer service who may have their CS ops in Notion to view & change customer data in your data store without adding to an engineer's backlog
I for one absolutely love this idea.
I might suggest the slightly less difficult thing that I think could be reasonably politically accomplished. Introduce carbon tariffs on goods imported from dirty countries to make their products less competitive and provide an incentive to clean up manufacturing.
Until they decide to retroactively delete your book, or change the text, because someone didnt like it.

Or more prosaic "feature": ban the book in your region.
This is a country of over three hundred million people. Independence past a certain degree is intractable.

I recommend if you don't like the rules and are too lazy (as you've self-described) to do the hard work to change them, you should consider changing countries. After all, your remedy for employees who don't like working for employers who break the Equal Employment Act is they should change companies.

If that solution seems unpalatable, meditate upon why it is inappropriate to suggest that employees who don't like being discriminated against should just use the remedy of changing employers.
As for getting airflow on k8s in the first place, the apache airflow helm chart pretty much just handles things, doesn't it? It might be a pain to manage many deployments for many teams, but going from 0 to 1 isn't so bad.

As for configuring the kubernetes pod operator to ask for pods with GPU's, it exposes the k8s python API in the dag definition. I haven't done it myself, but I think that it's not really airflow that's going to be a pain there. Getting the pod spec right is gonna have to happen whatever does the orchestration.

(Full disclosure: my employer offers airflow as a service)
>huge burden on natural resources

Can you explain? I don’t see how sending data to the cloud is a huge burden compared to say an EV or your AC unit.
The west is moving to renewable energy quickly. It will take time, but we have made a lot of progress and are making more.
Yes, but the point is the danger from the warming contribution is less than the danger from an ozone hole, so why focus on the warming? Unless the ozone depletion is below the recovery rate.
but you have to at least have a monetization strategy right?
That's like saying that because people die in car crashes, seatbelts and airbags are pure theater.

This is a poster-child example for confirmation bias. You don't hear about all the DD that doesn't result in a fraudulent company being purchased.
Apple, $2.6T
Microsoft $2.1T
Alphabet $1.3T.

I still remember in ~2009 I said Google wont be able to compete with Apple, simply because no one at Google understand anything about products. For nearly if not over 20 years since I have been against Google. Their downfall finally came, out of the three they are now the ones that seems replaceable. Feels so sad they could have done better. And yet not.
That would be more cost-efficient for me as well. But I somehow like owning the hardware instead of renting it. Oh well, at least I can now locally tinker with all the diffusion and LLM projects that are being released.
Ok, that's pretty funny. Neglect-as-a-service!
Operating systems abstracted the hardware (and other things) rather than having everything embedded in the program (as is typical in many embedded applications even still today). They don't have to offer time-sharing (aka, a scheduler), but that does constrain them to running a single process to completion before beginning the next. There were OSes before there was time-sharing OSes.
People get away with lesser versions of this type of scam all the time. Buyers don't want the bad publicity so if the loss isn't material then they just write it off and salvage whatever value they can find. You hear rumors about this kind of stuff that never shows up in the news, and when large companies buy startups it's even kind of expected that the financials are at least a little bit fake. This case was particularly egregious because the loss was material enough that even JPMorgan would have to publicly disclose it rather than sweeping it under the rug.
There are people paid to watch paint dry, that doesn't mean it's non trivial.
The US is the aggressor. The neo-cons are de-stabilizing the world.
It is possible that AI poses risks that aren't well articulated by the people spending the most time talking about AI risks. Like yes, all powerful technologies are disruptive and potentially dangerous (although that last one doesn't necessarily follow, really) but the risks of AI may not be that it will take over everything and make paperclips.
> Students are using AI for coursework. Financial services companies are granting credit based on AI output. Models are being trained with copyrighted source images.

None of this bothers me. It's impossible to try and sit down and devise a cohesive solution to these problems. This is literally just the way that the cookie crumbles (into uncharted territory) and premature constraints would be silly imho.

If AI destroys the world, let it.
https://en.wikipedia.org/wiki/Benford%27s_law
Are we being paid to not work or is that all going to the 1%?
I did 18/6 for quite a while before switching back to 16/8 due to a busy work schedule. IF is a long-term play - having the occasional burger or some beers late at night on Friday or Saturday won't affect your results much. Eat healthy, and keep at it.
> to create a 4-megabyte (20-bit) address space consisting of 64K segments

sed "s/4-/1-/", perhaps?
Meaning, bait-and-switch users by all means necessary (but after series C). I'm really looking forward to it.
I think it’s both correct and realistic to assume that most ideas won’t reach venture scale size. After all, the vast majority of startups fail. However I’d like to point out that any software product that is built is per definition a layer on top of something else and it will always start small. The key question is whether that “layer” is useful and if it can keep getting increasingly useful with time.
Show HN: NanoApp.dev – Turn JSON into Native Mobile App
No fan of straw bans, but aren't they motivated by a different ecological issue, namely reducing plastic waste
If virtual particles "fit the math" the same as real particles, what makes them not real? What do they not fit?
This was my first thought too - I'm starting to question it, because they do have a product. Whether they have fit, will be interesting to see.
More than most of the hype seed rounds in 2021.
The trends are the US is reducing emissions. I'm not sure what China us doing (I know they build a lot of solar, but i'm not clear if they are also building coal power plants)
And then later versions of the C compiler were written in earlier version of the C compiler...
My home assistant runs on 5-10W power. Nothing it does requires a lot more electricity than a light bulb.
Or write a competitor and and get some of that sweet sweet merger money.
and the rust version of cat should have been called "rat" instead of "bat"
Similar to https://github.com/sharkdp/bat but Go instead of Rust
Also she had her personal documents and photos burned, a damning piece of evidence which is mentioned without comment here: https://en.wikipedia.org/wiki/Jeanne_Calment#Age_verificatio...
This one is right in the middle of the action - the plugin market. It is the Android to OpenAI's iOS. Everyone needs a second option.
I talk to people who want to set up infra to use cloud GPUs and many of them say "I want to use Modal".

Common reasons not to include (1) "I have soooo many AWS credits that I want to use" and (2) (our company's reason) "We have on-prem GPUs but sometimes need Cloud GPUs as well with the same interface".

Using e.g. Ray with AWS is very painful, took us a long time to iron out all the quirks.
Congratz to LangChain. Wondering what's the dev workflow when doing prompt engineering using langchain/haystack.

- Is there a way to view the final log?

- Why there isn't a simple way how abstractions will look in the final output?

- Can we change the output of those abstractions (tools, agents..etc)?

Unfortunately, I see no plans about documentation whatsoever.
Does it bother anybody that he is promoting his own article by posting it? I have seen this and many other comments by this user as what seems like a funnel to book time with him and eventually be a paying customer. I am not sure how I feel about this.
The author misses the strongest case argument for stereotypes.

Cost of trait differentiation at scale.

In scenarios where the cost reductions of aggregation are larger than the gains received fron individual processing, stereotyping is the most efficient choice.

Example:
There are several bowls of M&Ms, they all have a low but varied percentage of poisoned M&Ms in them and these are difficult to detect. You are competing to eat as many as possible as fast as possible for as long as possible.
Does it make sense to scrutinize every individual candy? Does it make sense to only eat from certain bowls when possible?
If you mix all the bowls together and equalize the risk profile, is this of a higher benefit than dumping the highest risk bowls in the trash?
How do these answers change based on the severity of the poison and the distribution in the various bowls?

Arguments against this type of analysis are either moral, structural (conflict costs), or case-based.

The author doesn't delve into any of this.
Folks interested in this space and actually wants to work on open source, now is a good time to fork Lang chain.

The moment they raised VC funding the open source project is dead. All their incentives are now to 100x the investment they just raised. They would start putting core features behind an enterprise license.

Contributors of langchain please fork the project and make a better project! Stop sending free contributions to make the investors rich.
> The slow pace and sophomoric description

This seems needlessly condescending. 1.5x is your friend.

> a young audience.

Or just people who don't know much about 2 channel audio (or whatever else he's talking about this week/month/whatever). Not everyone does, after all.
People have become used to the thin ozone layer. In much of the world, you now can't stay outside all day without getting sunburn. There are not many reports of sunburn from 100 years ago.

I haven't managed to find any measurements or even estimates of what UV levels at ground level were before we started making CFC's - it seems we didn't think to measure it!

Feel sorry for all the animals and plants for whom suncream isn't an option...
Thanks for the questions. I’ll reply just a bit later. I’m in a train and reading/writing makes my stomach sick
That's a brilliant and witty way to put it :D
I'm sorry, I'm finding this idea ridiculous. People want to ascribe "consciousness" or "personhood" or whatever to a thing merely because it strongly resembles or mirrors one aspect of an actual human.

To me this is not much different from ascribing personhood to e.g. an extremely lifelike sculpture of a human, perhaps one that has fooled people in a gallery.

We know that the sculpture is not made of "human parts" but of paint, alabaster, whatever. We also know that AIs are made of decidedly non-human parts, e.g. silicon. Why is there confusion on this?
Here's one thing that you missed - transformations. Data engineers hear the word transformations and think they know what they mean - aggregations, binning, data reductions, cleansing, etc. Data scientists, however, think preparing features for models with transformations - encoding categorical variables (one-hot-encoding, LabelEncoding, OrdinalEncoding) and normalizing/standardizing/log-transforms for numerical features.

These transformations are so different that some of them are "model-independent" - you can do the transformations and reuse the output feature across many models (aggregations, binning, feature-crosses, embeddings, etc), but the data scientists transformations are model-dependent (and not reusable across different models - e.g., a XGBoost model doesn't want normalized numerical features, but a DNN typically needs normalized or standardized numerical features.

These differences are reflected in how we build our "ML pipelines" - we split them into feature/training/inference pipelines, enabling us to localize model-independent transformations to feature pipelines, while doing model-dependent transformations in training/inference pipelines (while ensuring no skew).

In summary, the devil's in the details in pipelines for ML. I agree, however, that orchestrators like Airflow are good enough for orchestration. However, the ML Assets (mutable & reusable features, immutable models, immutable training/inference datasets) are different and tooling will ultimately reflect those differences.
Maybe to spite Mircosoft? I would love to completely remove Microsoft from my workflow. The way telemetry creeps into everything bugs the hell out of me. I also really don't like the security model of vscode where it's assumed that any code you look at comes from a trusted source, and might execute code on your local system. That's a ridiculous security assumption for a text editor, but not surprising considering that these people also made MS Office.
Cool, keep building! (This isn't a feature of Microsoft 365 or Google docs yet?)
I'm guessing that the existence of edge cases like that are why Joker_vD included the "almost" qualifier.
One is rank data, the other a continuous variable. Two very different sub-fields of statistics apply to the two kinds of data.
An AGI may not have a sense of self. A sense of self is not really necessary to pursue a goal in the most efficient manner possible. Plenty of algorithms already pursue goals as efficiently as possible in a limited context without any hint of a sense of self.
> so we can stop wasting energy and thought on that and start diverting it to actual solutions.

If there were better "actual solutions", stupid moonshots wouldn't get funded in the first place. I don't think your framing of this situation is very accurate.
Wait, so it is not visible to the naked eye?
Some stuff is less damning than it sounds for example - "supercentenarian birthdates are concentrated on the first of the month and days divisible by five"

One of my parents comes from a poor rural area of Europe where well into the 60s, it was normal to have a "real" birthdate & an "official" birthdate. This was because the government only issued birth certificates in the nearby city, and being poor & rural, it took time to get there by bus, etc.

So I have aunts & uncles with real-official birthdate deltas of up to 2 weeks.

I'd imagine that going back to 1900s or 1880s, when travel was more difficult, who knows. Further, it is possible that the office in some of these areas for registering births was only open certain days of month/week, the further back you go, etc.

Maybe they only went into the city on market days when they had other business, on the first Monday of the following month.

Don't discount superstition and people registering births on nearest special days like saints days, etc.

Some of these abnormalities get lost to time. Many of my family didn't realize they had a real-official birthdate gap until 30+ years later when their mother told them.
It's a good thing this sort of recklessness hasn't resulted in a nuclear war, despite the massive arms race during the cold war. Difference is that AI is a lot easier to obtain than fissile material.
I still skip breakfast and have done for years. I can skip lunch most days but I feel better if I have a small lunch.

Here's Peter Attia talking about some of the potential problems - https://www.youtube.com/watch?v=x6wczdlcBtI - his perspective is particularly refreshing because he was a big proponent of intermittent fasting / time-restricted feeding for a long time.
I'm 30 or 40 years old, and this is one of my favorite youtube channels. :)
They should use ... you know ... LangChain to write documentations.
Can someone explain how LangChain compares to Llama Index [1]?

[1] https://github.com/jerryjliu/llama_index
> Declaring your own countrymen an enemy

This is historically more of a right-wing phenomenon in the US. Though I concede it is becoming stronger on the left in recent years, as their frustration boils over. Seems they've finally concluded that the right wing will never be coming to the table in good faith, so might as well fight fire with fire.

We're all losing.
Well if it’s in a proprietary format, then sure. But if it’s not then no, they can’t do that. And it’s not like paper books haven’t been subjected to regional bans and text changes (see the recent roald Dahl news) so I don’t know what you’re getting at there. People can still import paper books regardless and people can get around digital restrictions through things like VPNs, torrents and what not also. There’s nothing stopping someone from sending a usb stick with an entire library of books into a country either and arguably a lot easier than sending one paperback as you could hide a usb in anything.
From my understanding, the founder's philosophy is to stay out of politics and other divisive or "ethical" topics. This is not the only thing they ban, pornography is another. You are ignoring the large context
The Media’s Recent Turn to “Climate Optimism” Is a Cruel Fantasy