skysight-inc/HackerNews huggingface dataset:
This is incorrect. According to the official https://github.com/lm-sys/FastChat#vicuna-weights you need the original Llama weights before applying the Vicuna diff.
The trend is slowing for sure, It might be because other languages is raising and schools are not teaching Ruby anymore.
And there are also the ones that kiss up the referee and win through politics. But without the referee get knocked out with one punch.

They have no use in a real fight, but companies are full of them.
Is it hard to spin up an appropriate EC2 instance with 64GB+ of additional RAM? The m6a.8xlarge seems to have 128GB and costs $1.38 per hour. Was going to try this myself, but now I'm wondering if even that won't be worth the trouble. (I know this is not "your own devices" but would give a feel for what you're missing with the smaller models.)
> but owned and funded by Google

I remember Demis Hassabis(Deepmind founder) said in some podcast that they had lot of troubles getting decent funding in Europe. In general it seems Europe has much less appetite for funding private research groups than US, which I think it boils down directly or indirectly to regulations.
Since every state has a set of probabilities for the next state, I guess you could call it that. It would be very misleading, though.
But base r already has split() which does the same thing, turns a dataframe into a list of dataframe divided by values of a column. With the base r pipe operator and base functions like subset, aggregate, transform, split, you can basically replicate that convention while loading exactly no tidyverse packages. You can also use group_by(data, column) without a pipe if wanting to smuggle in a specific dplyr function.
That’s a lot of organizations that are going to need that mark then.

What needs to be marked is “does the government have editorial control of produced content”. Unless you think there’s no difference between government operated news in china or Iran and “radio station that gets an annual grant”
Importantly, F91W can run FOSS software with a custom board [1], which also makes it easily programmable in C with no "app store" shit. I have two boards sitting next to me and two Casio watches waiting for a transplant.

[1] https://www.sensorwatch.net/
The Supercharger network. This alone sets Tesla apart from all other BEV brands. The hodgepodge of alternatives simply cannot compete on speed, widespread availability, and most importantly, reliability [1]. I wish it was different but until this changes, Tesla is the only game in town for me.

[1] I have heard many horror stories first hand of being stranded next to a non-working charger and read plenty online.
They also said they have no plans to release the dataset, so it's not reproduceable either.
That would only be true if production had stagnated, which isn't the case. If they produce twice as many cars as they did last year, cutting prices does not mean that they are selling less due to the twitter takeover.
Another View of Tiananmen
Sparks of AGI: early experiments with GPT-4
Tesla is in an infinite loop of building efficiencies and lowering manufacturing costs.

Elon has said many times that the lower the price of a car, the more market share opens up.

Their margins are in the 20-25% range whereas a legacy auto maker is below 13%.

There is a lot of room to cut prices and still make money.
It’s a learning exercise man. Congratulations, you are very smart. FWIW, all of your questions are addressed in the article
> The idea of vector timestamps was developed independently by Ladin and Liskov [LL86].

A few years ago when I ended up down the rabbit hole on CRDTs and alternatives I learned of Liskov’s work on time vectors, which is still my top “things you didn’t know about Barbara Liskov” fact.
Not showing a picture of the main dish. How brutal!
That's show-biz baby!
> Generally speaking, people who are unwilling to ensure the accuracy of their work don't deserve the privilege to do that work.

This is all volunteer labor. Anyone can be a volunteer if they'd like. Wikipedia encourages mistakes (or "boldness") and assumes that due to a network of volunteers and the density of interest, an article will eventually become better.

Programming docs in open source often have errors. Do the volunteers not deserve the "privilege" of offering their time for free?
This article is...very misleading, implying that "overhead" is (in some dirty or despicable way) "taken" by the university. It's not. The indirect costs are added to the grant, so if you get a $500k grant, the university gets an extra percentage. Sample citation: https://www.science.org/content/article/nih-plan-reduce-over...

> The federal government has been adding indirect cost payments to research grants since 1947. Today, each university negotiates its own overhead rate—including one rate for facilities and one for administration—with the government every few years. Rates vary widely because of geography—costs are higher in urban areas—and because research expenses differ. Biomedical science, for example, often requires animal facilities, ethics review boards, and pricey equipment that aren't needed for social science. The base rate for NIH grants averages about 52%—meaning the agency pays a school $52,000 to cover overhead costs on a $100,000 research grant (making overhead costs about one-third of the grant total). Universities usually don't receive the entire 52%, however, in part because some awards for training and conferences carry a lower rate, and because certain expenses such as graduate student tuition don't qualify.

The author is also engaging in manipulative data presentation techniques (such as presenting the cost of a graduate student for five years, making it sound like an outrageously large $233,000, and not $46k/year, which when you factor in the number of hours a grad student typically works, is likely around federal minimum wage.)

If anyone would actually like to read up about the subject, here are some starting points:

https://www.nsf.gov/bfa/dias/caar/indirect.jsp

https://grants.nih.gov/grants/policy/nihgps/html5/section_7/...

If the NIH gives you a "$5M" grant, you get the $5M plus the F&A costs. I don't know how NSF does it.

There are a lot of rules around what grant money can and cannot be spent on, and the rules are specifically set up to try and prevent administrators from taking more than what is reasonable for keeping the lights on, staff paid, etc.

To everyone getting outraged in the comments about evil universities and schools 'stealing' research dollars: you are being manipulated by a computational researcher who likely is not even remotely aware of the costs of the infrastructure to support them, such as computational/storage clusters they utilize. Those clusters, if supported from F&A/indirect costs, often cannot have usage charges, because that would be "double dipping."
Sorry, can't edit my comment now. I meant it is "not a copyright violation, but just a TOS violation."
This is a good example of how academic citation practices subtly launder out the role of compute, trial-and-error, and practitioners in favor of academia. OP concludes that if you want to cite Fidge & Mattern for credit for 'developing the theory', that's fine. But notice, that's not how it started and is an answer to a different - no one was asking, 'who finally explained why vector clocks work in a rigorous way', the very title is 'who invented vector clocks' (repeated in the first sentence, and in various forms thereafter as 'system...developed', 'introduced', 'idea...developed', etc), and she objects to WP describing her as uncovering who really 'invented' vector clocks. The actual answer to her question would seem to be Parker 1983. (And looking at the description of 'LOCUS' in https://pages.cs.wisc.edu/~remzi/Classes/739/Papers/parker83... , it sounds more like they are reverse-engineering why LOCUS works...)
Ex webdev here, did exactly that 7 years ago, 250× ROI within 4 years. Would love to have a meal once we get to the US. Send me an email.
There's a pretty big NFT in the generative Art nice Chromie Squiggle by Eric Snowfro too (ArtBlocks founder)
> On the other hand, we get leaked iPhone pics months before they're released. What's up with that?

How do you know that those "leaks" were not by Apple for PR? It is all a PR game; it gets more publicity than any other means.

> Why do you think software leaks are so uncommon, even with massive teams? Is it tighter security, company loyalty, high pay, or something else?

It is not uncommon. Sometime back a hedge fund took one of its former employees to court due to code theft.

The reason most employees don't do that because the code base of tech companies is huge and most of them use proprietary tools.

And even if an employee steals the code, it will not be used by competitors because hiring engineers is cheaper than hiring lawyers. Sometime back a disgruntled Intel employee, when leaving the company to join AMD, stole some documents of the project he was working on. After joining AMD, to impress his new employer(who is a competitor of his previous employer), tried to give them the stolen documents. Not only did he lose his job at AMD, but AMD informed Intel about the theft. The guy was arrested.
first "code ninjas" now "street fighting" engineers and "martial art" engineers? really? I feel like these monikers are getting a little silly especially since you'd never see the reverse.
Cyber trucks will start rolling off the assembly line in q4 this year and will achieve full production next year.
I guess they could autonomusly generate spam in comments, but i dont believe they could work in any coordinated manner to achieve some high level goal. (At least until we discover some ground breaking technique to boost performance in task planning for current models)

In my testing llama(I tested multiple variations) < gpt3.5 < gpt4

And more and more I use gpt4, I'm starting to notice more and more ways this model fails in spectacular ways.

In many cases those models want to generate specific output and if that it's what you want it is very hard to convince it to adjust it, as ofter model will just ignore what you said.

Therefore I think any autonomous agent will fairly quickly fail in following it's objectives or it will be very easy to break it when there is any controlled way to inject text into input
For the most part that community is still around and still uses quite a bit of base R, you will see them overrepresented answering curly questions in help forums
Cruise recalls fleet after collision
Just did some napkin math on this, just the carbon footprint of the crew for this ship nets out to almost the total carbon footprint of 16.14g-co2/ton/km for container shipping..

Take the average person's footprint of 7co2-ton/yr, math that out with the 80 ton cargo capacity, the short daily distances ~250km/day, 14 crew, and you come out with about 12g-co2/ton/km just for crew for these schooners. easy to see another 4g-co2/ton/km being in just upkeep for a vessel of wood and canvass. So yeah if someone wants to virtue-signal, then go for it ship your stuff this way but don't think you are actually netting out a smaller carbon footprint then a container ship here.
Yeah. BYD is the biggest threat to EV manufacturers worldwide if they ever move outside china with any real velocity.
This is my hope as well. It would be disastrous if the future of AI is one where only megacorps can run it and where they control all access to it. In that sense, LLaMA is really encouraging and I'm seriously rooting for it to improve.

It's just not there yet. I tend to be kind of bearish on LLMs in general, I think there's a lot more hype than is warranted, and people are overlooking some pretty significant downsides like prompt-injection that are going to end up making them a lot harder to use in ubiquitous contexts in practice, but... I mean, the big LLMs (even GPT-3.5) are definitely still in a class above LLaMA. I understand why they're hyped.

I look at GPT and think, "I'm not sure this is worth the trouble of using." But I look at LLaMA and I'm not sure how/where to use it at all. It's a whole different level of output.

But that doesn't mean I'm not rooting for the "hobbyists" to succeed. And it doesn't mean LLaMA can't succeed, it doesn't necessarily need to be better than GPT-4, it just needs to be good enough at a lot of the stuff GPT-4 does to be usable, and to have the accessibility and access outweigh everything else. It's just not there yet.
I absolutely would never support him in any way based on how he's treated Twitter employees. Call it what you want, I'm quite sure I'm not an outlier.
They mention the name association in the FAQ.

[0]https://www.flatcar.org/faq#what-is-the-significance-of-the-...
I have a Sensor Watch, which is an ARM cortex processor and SDK which retrofits into an F91W. It’s really nicely put together and offers a lot of flexibility. https://www.sensorwatch.net/
You're right! My mistake. I was thinking of statement triggers.

https://www.postgresql.org/docs/current/sql-createtrigger.ht...

> The REFERENCING option enables collection of transition relations

I don't see any examples of statement triggers...
Even in the case of a full size GPT, one could equivalently write out a lookup table for every possible permutation of tokens in the context window and the resulting output distribution. The table would of course be impossibly large.
Lithium iron phosphate is still lithium-ion. Tesla's main other battery type is nickel cobalt aluminum (NCA). The names in both cases refer to the cathode material, but they're both still lithium-ion.

(There are also other lithium-ion cathode materials that don't contain nickel, such as LMO)
13B on my computer does produce useful output, it's pretty hit and miss though

GPT-3.5 OTOH is much better, but it's also much better at producing convincing-sounding but completely incorrect answers
Lie Detector Firm Lobbies CIA, DoD on Automated Eye-Scanning Tech
BYD is introducing Sodium Ion for the low end next week:

https://m.arenaev.com/11600_byd_seagull_launches_on_april_18...
Same, and was rather disappointed.
> It is a dream come true for people

For as long as they will be an active part of societies, they'll better live in reality. We need to know what we are dealing with factually, because water is not exchangeable with iron in practice.

The perception of a machine as being able «to generalize concepts» may be an illusion, so it requires some support: we want to avoid illusions for the contextual purposes.
I've worked on Ambry at LinkedIn for a little while, I'd be happy to answer any questions about architecture or things we've done since 2016. I wasn't part of the original team. One thing I would call attention to from the article:

> it’s key-value based approach to interacting with blobs doesn’t support file-system like capabilities, posing more of a burden on the user of the system (who must manage metadata and relationships between entities themselves).

I think this trade-off is one Ambry's strongest design decisions. By giving up key-value access, Ambry gets to dictate the location of an object at write time. When a partition fills up, set it to read-only and create new partitions on new hosts. By having Ambry generate the blob ID, the system can embed information (like the partition number) right in the ID. With a key-value approach you need to worry about balancing (and re-balancing) the key space over your topology. With dense storage nodes, re-balancing is VERY expensive.

Also--most applications don't actually need key-value access. For storing something like media (think: LinkedIn profile photo), you've already got a database row for the user profile; now one of those fields is a reference to your object store. It might as well be a storage-generated reference instead of one where the application tries to manage reference uniqueness and ends up using UUIDs or something similar anyway.

Apologies for the new account, I try to keep my main HN account semi-anonymous.
https://fiscal.treasury.gov/navy-cash/

Apparently they also have advances against pay as cash, or did in the past.
Ghost In The Shell and transhumanism.

Also, Permutation City from Greg Evan.
compared to a mega container ship, i bet the carbon footprint of this sailing boat is much much greater!

Please compare the sails, antifouling, boat paint per load compared to a container ship, its much uglier than you think when you compare it to a big size petrol container ship! Just do the math! Its has more a symbolic "green thing" character, which is good! :)

Even an automatically controlled boat is too expensive concerning insurance, fire and so compared to a megaboat with a small amount of people.
The winners of Rest of World’s first photography contest
I wasn't trying to assert any kind of definitively precise claim about evolutionary precedent in computer paint tool history (and certainly not an exhaustive reverse claim excluding other achievements on other platforms). I knew DPaint was later ported to PCs and many other platforms although I don't recall ever playing with DPaint on a PC as I was mostly into Amiga until about 1990.

My PC experience was prior to 1985 on 8088/86 machines with early MGA, CGA and EGA graphics cards. I did play with several different paint programs on a real IBM PC XT that a client of mine had in their business office (so it definitely wouldn't have had anything better than whatever graphics card was baseline bundled). My recollection of using that PC circa '83 for paint definitely included the typical experience of being able to see the screen redraw on any kind of wireframe bounded box and definitely bitmap regions being moved on-screen.

At the time, we considered those artifacts "just the way it is" for graphics. I even got to play around a bit with various "high-end" systems of the era including an early SGI workstation and a dedicated "video paint" system for TV station use (a $40,000 box IIRC). While those systems were definitely faster than 8-bit and PC systems I'd seen, I could still clearly see screen redraw on them.

I acknowledge that the hardware may have been capable of smoothly dragging a bitmap region on-screen. Obviously, post-1990 I've seen some wildly impressive demo scene demos targeting PC CGA with hand-coded assembler which show pretty unbelievable potential given enough blood and tears shed. However, based on what I experienced in '83/'84, it didn't seem like the commercial paint software authors of that era were bothering to do the considerable work to optimize for that kind of performance (synchronized double or triple buffering etc). Obviously, the team porting Amiga Deluxe Paint to PC in 1986 had access to Amigas and I suspect trying to achieve similarly smooth performance on their port became a personal goal. Thus, Amiga Deluxe Paint seemed to at least set a bar showing another level of performance was possible and worth aspiring to.

As for the Amiga + Deluxe Paint impacting the perceived value of hardware acceleration for graphics creation tooling, it was at least a revelation to me and many of the computer graphics devs and enthusiasts I hung out with in those days.
Popular culture: https://www.thegospelcoalition.org/article/the-myth-of-the-p...
The FBI reports about blockchain analysis I've read contradict this statement.

Banks are only easier if all entities involved are certain American banks.
> Why do these takes around open-source AI remain so popular? What is the driving force?

people like to tinker with things until they break and fix again. that's how we find their limits

People constantly try to break chatGPT too (i d wager they spend more time on that than real work). However talking to an opaque authoritarian chatbot, no matter how smart, gets boring after a while
F&A comes out of NSF grants. If I get a 500K grant, the first 150k or so would have gone to my university. Some universities this overhead number would be lower, some higher, but it is taken out first.

> The author is also engaging in manipulative data presentation techniques (such as presenting the cost of a graduate student for five years

I shared the yearly/monthly breakdown the sentence before that: "It includes their salary ($2200 a month), tuition ($15,000 a year), and benefits ($200 a month)."

I didn't post anything misleading or inaccurate. I included screenshots of my cumulative budget pages and included specific numbers to make examples more concrete. Not making any claim as to whether F&A is evil or not (it’s not).
The fact that in the opening hook the author mistook the state of South Australia for a province just me doubt even more how close to reality this is.
I would say the IEEE, RedMonk, StackOverflow, JetBrains, PYPL and Github rankings are all better than Tiobe, although they aren't perfect either. Which is better really comes down to what you're looking for.
archive link unpaywall: https://archive.is/m1T1A
Yeah for sure, I don't mean to disagree in a petty way, you've raised a good point & I buy it. Whatever small disagreement about whether that's a con isn't substantial.
The United States is a paper tiger.
archive link: unpaywall : https://archive.is/OgIYs
Midjourney is poised to cause mass unemployment of digital artists, so yeah, it's every bit as revolutionary and destabilizing as GPT.
A rather contrived or ridiculous post.

> I have worked with 2 types of 10x engineers so far: Martial Artists, Street fighters

It then goes on to say which you should have. Duh if they're each 10x, both.

The article set up a false dichotomy in its premise.
Does it have Rogue I mean DUNGEO ?
From "VMS Software / Documentation / x86-64 V9.2 Installation Guide"

https://docs.vmssoftware.com/vsi-openvms-x86-64-v92-installa...

1.2.1. Recommended Settings for Virtual Machines
VSI recommends that your OpenVMS virtual machine be configured with:

Memory Minimum of 6 GB

Minimum Number of CPUs: 2
It doesn't matter that nuclear is cheaper if you can't build a nuclear plant.

The difference is that a lithium battery facility can be installed and functional in 12-24 months. A nuclear plant takes 12-24 years.

Much like World War I strategies, a solution that nobody has the political will to implement isn't a solution.
You pay egress fees either way but the Cloudfront fees are lower.

I believe Cloudfront also still has a free tier which cuts out egress fees on the first X GB of data.
archive unpaywall : https://archive.is/I15dd
I mean it's a good power tool, cuts fast with little effort.

But what's it gonna do in the hands of your parents or kids.. when it gets thing wrong, its could have way worst impact if it's intergrated in government, health care, finance etc..
I would probably have titled it "I think FTL travel might not be impossible". She does not propose a mechanism for FTL travel, just addresses claims that it's impossible.
I am generally frightened by the readiness of people to send data to solutions like ChatGPT or by running open source projects that result in running "AI agents" that execute arbitrary code on one's machine. What can we do to drive more awareness about running these experiments in a responsible way, like a sandboxed environment?
This is pretty fun, nice work!
I’m very curious about Haxe. From using ldtk and looking into haxeui and openfl, it looks like it could be good for multi platform gui apps. I’ve used godot for that purpose before but all the game stuff and limited libraries gets in the way of making it easy for gui development.

And seems like with hashlink I can compile to a single binary instead of the nightmare of electron or Python gui apps packaging