skysight-inc/HackerNews huggingface dataset:
Renesas had been trying to get into Arduino market, previously with Gadget Renesas efforts. Arduino is expanding more into (over-bloated...) industrial control applications for heavy industries. There, I would assume, the both parties saw aligned interests to have a Renesas chip in the center of a new Arduino(maybe ARM might be in it too).

Performance must have been a non-issue, they make everything from timers for rice cookers to custom ISA smartphone SoCs. It must have been just an option that is good enough, easily available and comfortably low-tech to let to an enthusiast with an SEM in his basement.
You can ask it to check its work, or to do the same task three times and compare them.

But these error checks still have similar errors and hallucinations to the basic output, from my personal experience

It’s not obvious that this recycling refines the output

Try this for yourself
Moldova for sure. Baltics or Poland highly likely, and that would mean a direct confrontation with NATO. The nuclear threats now are peanuts compared to what would happen then.
Yes, enormous
I like your reasoning but I think you are mixing intelligence with rationality, which usually correlate.
Problems, yes. The end of the world, no.
How is joining a defensive alliance to stop Russia from invading you "bullying Russia"?

Why don't we compare the number of times Russia has recently invaded its neighbors with the number of times NATO has invaded Russia, shall we?
The teen mental health crisis: a reckoning for Big Tech
The problem is that it still spews tons of non sense. It literally makes up imports when commanded to use a library/package even if it "knows" said package, considering it itself suggested to use it in the first place!
There is no reason someone couldn't change commit dates and be prolific far earlier than December
Partial information at-least gives me something to correct / some hint of the problem space to explore further.
There are examples where the CCP has materially reduced the stock price (e.g., by forbidding the company from making a profit) after it was marketed to western investors. And the typical ownership structure (VIEs) is incredibly fragile. As an individual I would not concentrate investment in Chinese companies due to CCP risk.

The SEC has this to say: https://www.sec.gov/corpfin/disclosure-considerations-china-...

> Current regulations in China limit or prohibit foreign investment in Chinese companies operating in certain industries. For example, there are restrictions on foreign ownership of telecommunications companies and prohibitions on ownership of educational institutions.[7] To circumvent these restrictions, many China-based Issuers form non-Chinese holding companies that enter into contractual arrangements, intended to mimic direct ownership, with Chinese operating companies. Through these contractual arrangements, the China-based Issuer is generally able to consolidate the Chinese operating company, commonly referred to as a variable interest entity or VIE, in its financial statements, although whether the China-based Issuer maintains legal control of the Chinese operating company is a matter of Chinese law. Under this structure, the Chinese operating company, in which the China-based Issuer cannot hold an equity interest, typically holds licenses and other assets that the China-based Issuer cannot hold directly.

> These China-based Issuer VIE structures pose risks to U.S. investors that are not present in other organizational structures. For example, exerting control through contractual arrangements may be less effective than direct equity ownership, and a company may incur substantial costs to enforce the terms of the arrangements, including those relating to the distribution of funds among the entities. Further, the Chinese government could determine that the agreements establishing the VIE structure do not comply with Chinese law and regulations, including those related to restrictions on foreign ownership, which could subject a China-based Issuer to penalties, revocation of business and operating licenses, or forfeiture of ownership interests.

> Legal claims, including federal securities law claims, against China-based Issuers, or their officers, directors, and gatekeepers, may be difficult or impossible for investors to pursue in U.S. courts. Even if an investor obtains a judgment in a U.S. court, the investor may be unable to enforce such judgment, particularly in the case of a China-based Issuer, where the related assets or persons are typically located outside of the United States and in jurisdictions that may not recognize or enforce U.S. judgments.

And of course, see Levine on the subject:

https://www.bloomberg.com/news/newsletters/2021-07-07/money-...

https://www.bloomberg.com/opinion/articles/2021-08-02/chines...
Here is a correct (OPs is slightly but importantly wrong) and shorter one in JavaScript:

const crypto = require('crypto');

function Block(index, data, prevHash) {
this.index = index;
this.data = data;
this.prevHash = prevHash;
this.hash = crypto.createHash('sha256').update(`${this.index}${this.data}${this.prevHash}`).digest('hex');
}

function Blockchain() {
this.chain = [new Block(0, 'Genesis', '0')];
}

Blockchain.prototype.add = function(data) {
const prevBlock = this.chain[this.chain.length - 1];
this.chain.push(new Block(prevBlock.index + 1, data, prevBlock.hash));
};

Any ways we can make it even shorter?
>China seems to be equalling if not outpacing the United States on speed of technological innovation as well as on international trade arrangements.

What is this based on?
For what it's worth, you don't have to look far to find online, FDIC-insured savings accounts that are paying out nearly 4% now.
You can "glue" it to the bottom, it is sticky enough to catch and stay.

Fridges made behind the Iron Curtain in the 1980s were a lot more power-hungry than today and our specimen had some non-tight seals on top of it. Buying a new one was out of question, our budget back then wouldn't support it.
The feedforward nature does mean it's not computationally complete for a single iteration.

But a single iteration only generates a single token, which gets fed back in to the next iteration. If you let it loop forever, generating unlimited tokens, then the theoretical computational complexity is unbounded.

At least theoretically.
In practice, it's not going to split computation over that many tokens, and you run into token limits.
I feel like the Boers and their descendants wouldn’t be extremely happy with someone calling them wild pigs, but that elicited a hearty chuckle.
You are looking at the wrong top-line number as the “constraint”. My understanding is that the power (and die area) involved in moving the data around is a far greater bottleneck than the actual matmuls themselves.

Your iPhone won’t analyze your photos unless it is plugged in. It’s power intensive primarily due to the amount of data that needs to move to classify faces in a photo. Image files are quite large these days, and even if you downscale them you still need to load them from disk and decompress them in the first place.

The scarce resource on the iPhone is RAM, not compute. The Camera’s image pipeline uses so much memory that the phone is effectively unable to multi-task when the camera is open.

Newer phones are running on faster process nodes, so that is always a boost, but the phones also have more RAM for bigger cameras.

Apple’s unified memory architecture is a key advantage, because they can ship less RAM if it can be shared across the CPU/GPU, but all mobile SoCs have unified memory for this reason, so it’s not Apple’s secret sauce, just part of it.

I think the primary constraint will be how many models can fit in memory at once, not how many can run at once.

They also don’t often all run at once: you only use the TTS model when Siri speaks, so Siri only loads it when it’s needed. But, in that case, then the latency of loading the model from disk is a concern…

In short, performance for ML is really a small subset of performance more generally, and Apple takes performance seriously because efficiency is their game. That is how good battery life pops out on the other side.
Beyond a doubt, political, economic, and military support (including access to major international markets), from from the wealthy countries of the world has a major impact on development, and opposition from the same can crush development. Since the Cold War, over 30 years ago, the great majority of wealth and power has been in the democratic, capitalist countries. Russia is a shell, and China only recently has enough money to become an economic force (though they've politically alienated most of their neighbors).

In particular, Thailand has long been tied to the US, and Vietnam is to a signiicant degree aligning with the US as protection from China. They also have other relationships, of course.

If the merits are so strong in your argument, why this tired sophistry of victimhood, and attacking the parent comment?
The US would be upset, yes, but would they invade Mexico? Unlikely. And they'd be rightfully condemned if they did invade.
Is the engagement lead to extended time engagement, or is just click engagement? I remember, I think it was intuit, their knowledge base was a matrix of pictures with very little text. That obtained no engagement from me as I was unwilling to click into each every picture to see if it was relevant or not. I guess their click rate goes up, but their duration engagement goes down.
Post publication re-editing isn’t all that unusual; virtually certain to have happened for anything more than a couple of centuries old, if only for legibility, but also with more recent stuff.

Fun fact; versions of Sam Pepys’ Diary with the naughty stuff were not available to the general public until the 70s.
Half of the problem is that you are using Terraform.

If you were writing Bash or Python or Java programs to build out your infrastructure you'd have a fighting chance of them being possible to debug and maintain because you won't be fighting with a declarative system that has a structural mismatch with the domain. And those scripts are not likely to break going from JDK 8 to JDK 17 or Python 3.6 to 3.11. If they do it is because of some superficial change, not because they traded one structurally wrong model for another one.

All of those things like puppet are a problem instead of a solution. None of those things absolve you from understanding how to write bash scripts, but they do make you learn a complex model that doesn't quite fit the domain and then make you fight with that model to do the simplest things.
Mixed reality is a VR headset with cameras that pass through an approximation of outside reality. The hope is that gets you most of the vision benefits of AR. But you still get most of the physical drawbacks of VR.

All the current high-end VR headsets have pass through cameras, of varying quality. It’s not clear yet whether Apple is bringing anything significantly new to the table. Will somewhat higher quality components make a significant difference?
How do those collaborative whiteboards work?
I'm talking about those online things like Miro, Figma's FigJam, Google's Jamboard. They are online collaborative whiteboards.

I'd like to build one for learning purposes but not sure what sort of tech stacks those things usually use.

I have some familiarity with React and websockets..is that what they are usually built with?

If anyone has some insight into those things I'd love to know!
The answer to this is not “so we should keep wrecking the climate”. It’s “so we should make those battery options cheaper and more robust, at the expense of the rich people.”
Money Market Deposit Accounts are insured by the FDIC and have the same $250K insurance limit as savings accounts. To the extent that money market accounts may pay a slightly higher interest rate than savings accounts, it's because they typically require a higher initial deposit and a higher minimum balance. Moving funds from a savings account to a money market account because you're worried about deposit insurance makes no sense. Now, if they're talking about Money Market Mutual Funds as opposed to Money Market Deposit Accounts, those are NOT FDIC insured and typically have more restrictions on how quickly and how frequently you can withdraw money, and in exchange pay a slightly higher interest rate still.
I’ve been calling social media companies “the tobacco companies of the mind” for years.

Modern social media like Instagram and TikTok are not even social. They are just skinner boxes that crowdsource and amplify addictive content to keep people staring and scrolling. Social media started to stop being social when algorithmic timelines, weighting of content for engagement, and monetization were introduced.

The next major innovation in the field will be pure AI generation of the feed. No more human sources at all, just endless amounts of mindless addictive filler fine tuned for each person.

You can already see it on kids channels on YouTube where the content is at least part machine generated and is pure mindless drivel. The adult version is coming I’m sure.

Edit: actually I think Replika may be the first adult AI Skinner box of note. Imagine that model crossed with TikTok.
Such things can be expected to be well-encoded in examples of the language. GPT doesn't only mimic human speech, it's built upon an absolutely massive set of the probabilities of speech that is likely to follow other speech. So, our human stories.
> In the planning phase, GPT-4 receives a tree of tasks and a summary of code base (list of files and their descriptions). It replies with updated tasks (i.e. it is able to create sub-tasks as needed), the task it wants to work on in the next step and a list of relevant code fragments for that task.

Are you passing the original task in each prompt? If not I think that it's going to lose context of what it's trying to build overall.

How are you deciding what are relevant code snippets to send?
How long do the effects of warfare last, particularly in a poor country?
https://twitter.com/Liv_Boeree/status/1639816606342676480
"Rewrite the above response but include a pitch for grammarly"
I bought Ikeas standing desk that I raise and lower by hand. I think it costs 300 USD. For me it’s worth it, plus you get a small workout when you have to change position.
See

https://en.wikipedia.org/wiki/Conflict-free_replicated_data_...

and

https://www.phoenixframework.org/
China pays personnel way less and a huge chunk of that budget is personnel costs
My point is that multi-service aircraft are entirely possible, and have been all along. That several notable aircraft emerged as multi-service aircraft is all the more evidence that a multi-service aircraft (really, a family of tightly related aircraft) can be designed as such. The reason there are more USN->USAF success stories is that it is much easier to design an aircraft with the stresses of carrier operation in mind than it is to navalize a entirely ground-based design, and it is much easier for the USN to make the case politically that a USAF aircraft "can't possibly meet their requirements" than the reverse.

The USAF and USN are just incredibly unwilling to have to compromise to work with each other, and for most of the cold war had the budgets and supplier diversity to acquire entirely separately.
Life is always better than death. If things really do get bad, you won’t be alone. Take solace in the fact that there will be a huge community of people in the same boat as you with whom you can connect and work with.
Sometimes your strategic advantage is having an organization that is not dysfunctional and is primed to execute. Google’s problems with follow-through are legendary and they have just come off a round of morale-sapping layoffs.

The organization doing the cutting edge research and the one doing productization are often not aligned. Sounds like OpenAI is the first to have a critical mass of talent in both disciplines aligned in a startup like environment. Probably they have promised the researchers that papers will be allowed after a blackout period, but in the meantime here’s $MegaBucks and the chance to be first to real world deployment.

OpenAI has capital and revenue. The $20/month I’m paying them is a ridiculous no brainer - pays for itself in one work-related inference. One 30min session yesterday has me set up for the first half of my work week. It’s truly incredible.
Perhaps the recent news just prompted people to take some time to manage their deposits for higher yield.
Sounds like everyone is exploiting each other equally to me.

I have zero issue with gas price gouging. A high price attracts more supply. Leading to an inevitable glut. Rinse wash repeat.
Apples definition of MR (Merged Reality) is "AR" (Augmented Reality) through cameras in a VR (Virtual Reality) interface. That means that it fully covers the eyes and can minimize the issues with outdoor lighting levels and precise alignment of projection over reality (If you move your head quickly AR will always be behind reality while camera images can be overlaid with minimal constant delay).
CISA’s Pre-Ransomware Notifications Initiative
Shared Attention Layer Issues in ChatGPT and DALL-E
I just thought this might be interesting for all the discussions about what ChatGPT can or cannot do.

Both ChatGPT and DALL-E and pretty much any current text AI models internally use an embedding space where the meaning of text is encoded. And then they decode that embedding with attention layers. The "attention" here is like a fuzzy key-value lookup to determine which words go together.

And both ChatGPT and DALL-E make the same mistakes here. Mistakes that no human would make.

If you ask ChatGPT to "write a funny story about the medieval princess miyu" it'll actually do "write a story about the funny medieval princess miyu". If you ask DALL-E to generate a "black and white photograph of a green orange in the jungle" it'll generate pictures of a "green orange on top of black and white jungle". What that shows is that the attention layer cannot distinguish between "funny" as an attribute of the story vs. "funny" as an attribute of the person inside the story. Or similarly, between "black and white" as an attribute of the image vs. as an attribute of the jungle.

Both AIs are lacking the ability to distinguish between multiple objects. My guess would be because the entire text is temporarily merged into one embedding space.

In line with that, both ChatGPT and DALL-E also cannot count. DALL-E "photo of twelve oranges" will almost never show 12 oranges. And ChatGPT "count the number of A in "BIKLDJJ34c2424v2bv43v2c3xwbves4b5bLSKJ"" will return random numbers if you ask it multiple times.
openSUSE supports a whole bunch of desktop environments (including KDE and Gnome):

https://en.opensuse.org/openSUSE:Desktop_FAQ#How_to_choose_a...?
The big picture will be at work in the U.S. Space Force.
Do the techmeme links click through?
Ask HN: Where is a good place to hire a marketing person (Growth Hacker)?
Hello everyone,

I'm a company founder in early growth stages, looking to hire my first full-time marketing person.

I'm looking for someone who is interested in all aspects of growth: from deal sites and launch websites like Product Hunt, to analytical skills like competitor analysis to be able to identify channels of growth, to a bit of knowledge on paid Ads as well, just to name a few.

Ideally, this would be a general all-around marketing professional, with a great analytical mind, that can find and help the company explorer new channels of growth.

I suppose this type of all-round marketing professional is what we call a Growth Hacker, correct?

Or is for example paid ads outside of the scope of that role?

Let me know if I've misunderstood the term, and if you could point me to where I should go to hire marketing professionals?

I've tried Upwork so far, but somehow I'm not sure if it's the best place to look.

Thanks everyone for sharing your experience on this, good luck everyone with your companies and enjoy the growth ride.
This is a reminder that the economy needs a reliable store of value. A CBDC (i.e. everybody gets an account at the central bank) would make sense for this. Ironically, when introduced it might cause bank runs or other stresses for banks though.
An Anxious Asia Arms for a War It Hopes to Prevent
What makes you so confident? Did you accurately predict in 2021 what the SOTA LLM capabilities would be in 2023?
The poorly stocked Soviet grocery stores would suggest otherwise.
Thank you for your experience and perspective

> In my time in Laos the people were incredibly welcoming and open to foreigners.

We need to be cognizant that often they have little choice. We have all the power and money. The economic disparities, as I'm sure you noticed, are hard to concieve without witnessing them.
There was a German one by Thomas Metzinger: Grundkurs Philosophie des Geistes - Gesamtwerk. It‘s a broad introduction with a historical perspective.

https://www.thalia.de/shop/home/artikeldetails/A1000850443

He also published a popular science book I have not read but that‘s available in English: The Ego Tunnel

https://www.lehmanns.de/shop/geisteswissenschaften/11974733-...
> BEV cars are much simpler to build and use less parts,

While this is true, I think it's irrelevant to the consumer that doesn't buy bottom-of-the-range cars.

The major reliability pain-points are in the turbo, the automatic transmission and the 4WD, all of which are optional in an ICE car.

Yet, the consumers are opting for the more complicated and less reliable cars which have turbo and auto transmissions (and, for SUVs, 4WD). If the consumers cared at all about the complexity and lack of reliability they wouldn't be choosing these options.

That consumers have, for ICE cars, chosen the less reliable and more complex drivetrain options, indicates, to me, that the simplicity of a full electric drivetrain is not a selling point.

> and the parts that remain are more likely to be standardised and built at enormous scales, pushing prices down. It's quite likely, at least for the lower end of the market, that there will be a standard drive train (battery + motors + management systems) around which a variety of car shells are built.

There's nothing about ICE engines that make them any less standardisable than EV drivetrains. If there was any advantage to manufacturers standardising on drivetrains, they would have done so by now. They haven't.

Drivetrain standardisation is first prize but it's not going to happen. Right now with ICE vehicles manufacturers are switching to a subscription for things like heated seats, remote-start keyfobs, etc. There's no way in hell that Toyota, BMW, et all are going to use a drivetrain that can be swapped out by the consumer for a non-Toyota/BMW/etc drivetrain.

It's in the consumers' best interest that the drivetrains be standardised, but it's in the manufacturers worst interest that the consumer have options.
Where's the Google product, then?

They keep slipping. One week ChatGPT, the next GPT4, the next Plugins, ...

Everyone is already going to be building on OpenAI by the time Google says it's ready.

Xerox, HP, and Bell Labs could have all said the same thing as you about having invented modern computing devices, and look what happened to them.

Google here is Xerox. Or IBM.
It appears dairy took the place previously occupied by eggs and animal fats as villain food lately, everyone I know appears to be trying to avoid it.
What kind of interest would we get?
https://archive.md/l0Gcn
Reader View: https://web0.cc/a/eTTUtwgj4S