skysight-inc/HackerNews huggingface dataset:
Gemini seems much better than GPT-4 in image understanding.

Here's a test I did trying to read Persian from an image:

https://chat.openai.com/c/bc45cc9c-fd19-4359-9096-3936d4d17a...

https://gemini.google.com/app/3286bdfb5f24cd36

I can read Persian and can confirm Gemini (not even the Advanced model) got it right while GPT-4 blew it.
> Not to mention the 10 year Federal forgiveness for working in a qualified institution (aka nonprofit hospital/academic)

Public Service Loan Forgiveness requires 10 years of making student loan payments.

> Some states offer free tuition if you promise to work in that state for a few years after.

for example, the Georgia program offers up to $25k per year for up to 4 years max [1]. It requires application and takes into account health outcomes, specialty, debt, etc so it seems its not automatic acceptance. With an average medical school debt of over $200k this is not free tuition.

[1] https://healthcareworkforce.georgia.gov/loan-repayment-schol...
Given they had mobile apus out with similar performance since quite some time, it's kinda baffling they just released a comparable desktop apu now.
My mom bought Green Giant broccoli and cauliflower in a gluey pseudo-cheese sauce. It was as disgusting as it sounds.

I didn't like broccoli and cauliflower until I had them raw.

Of course, YMMV :)
At this point, "Republicans against Trump" is approximately as meaningful as "CCP against Xi". Support for the man and the party are inseparable.

"Conservatives against Trump" would make much more sense, although it would be a bit less surprising or splashy.
Failing both the "misleading or clickbait" and the "please use original title" guidelines[0]. The article admits the image-stamp-ruse in the second paragraph:

This benchmark is, of course, unfair. It is only measuring the time to encode and decode a message in memory. Cap’n Proto gets a perfect score because there is no encoding/
decoding step.

Title: "Cap'n Proto: Introduction" H1: "Introduction"

Submitted many times 2016[1][2][3], 2018[4], 2020[5][6], 2021[7], 2022[8][9], 2023[10][11]

[0]: https://news.ycombinator.com/newsguidelines.html
[1]: https://news.ycombinator.com/item?id=10825233
[2]: https://news.ycombinator.com/item?id=11229153
[3]: https://news.ycombinator.com/item?id=12471266
[4]: https://news.ycombinator.com/item?id=16397346
[5]: https://news.ycombinator.com/item?id=23924978
[6]: https://news.ycombinator.com/item?id=24065123
[7]: https://news.ycombinator.com/item?id=27061046
[8]: https://news.ycombinator.com/item?id=31189502
[9]: https://news.ycombinator.com/item?id=32468581
[10]: https://news.ycombinator.com/item?id=35128998
[11]: https://news.ycombinator.com/item?id=36913680
>Wood can flex in a potential earthquake, that's true, they used that in Japan centuries ago, but we've got better materials and technology today.

This line seems to imply that modern, new houses in Japan are not made of wood any more. They are. In fact, wood is being used for more and larger stuff, both in Japan and in other countries, because it's flexible and more eco-friendly than steel and concrete. Of course, wood has its weaknesses (like termites) that have to be dealt with using proper engineering practices, but so does reinforced concrete, as seen in the big condo collapse in Miami not that long ago.

That said, 10+ story buildings are probably still going to be made of reinforced concrete for the foreseeable future, and Japan has far better construction and maintenance standards than the US for tall buildings, which is why seaside buildings don't randomly collapse here, despite the frequent earthquakes.
Could you share some examples of articles/paper projects you undertake? Do you always publish them or keep them for yourself?
At the end of the day, whether its AWS S3, GCP Buckets, Azure Blob Storage, or EKS, AKS, GKE — there are services to serve as drop in replacements for their competitors. The principles of deployment will remain the same as it pertains to access and compute allocation, but obviously the resource definitions, and the definition syntax, is unique. We’re solely focused on building out our AWS support (a function of market pull), and plan to use the same architecture design for additional cloud providers when it comes time to make that jump.

Completely get where you’re coming from w.r.t. organizations looking to check a box. If we wanted to sell to those organizations, we would stop short of architecting their infrastructure and implementing best practices. A checkbox is never enough, and a point in time review can be easily gamed.
> our bank just doesn't do any rounding. It's all fixed point math.

I promise they and you round. As I linked above via Wikipedia, there are many rounding strategies. From what you describe, I'd guess they are Rounding toward zero, i.e. just truncating all digits past 2 decimal places, which is a very reasonable rounding strategy for banks.
Speaking of which, if they imposed a limit of 70, would anyone bat an eye other than the two guys nobody wants in office?

There’s a minimum age, why not a maximum? Seems like an opportunity to handle this right now as both deeply unpopular front runners would be made ineligible.

I personally don’t mind Joe Biden, he at least comes across as genuine. But I think an opportunity to guarantee both candidates ineligible could be a win for both parties. (But of course both sides think they can win with their guy so they probably aren’t interested.)
Helps with larger apps that are not solely Next.js
It certainly could be a smaller profitable company but that’s not how the world works apparently
Good question, these trackers typically come in the form of developer installed pixels / trackers, making this situation a function of human choice. During onboarding, we conduct a supply chain vendor risk assessment, identify which vendors we can help facilitate a BAA agreement with, and which vendors (if any) need to be removed from a deployment. From there we provide the resources to initiate a communication channel with the associated vendor.
I can see people using AI for setting up simple solutions. But AI, as it currently is, is dependent on human innovation to be able to generate results. Any novel problem will need human minds. On top of this AI is currently horrendous at coding things with complexity. Maybe some higher complexity solutions can get done with high cognitive tax in human prompt input, but there are serious diminishing returns on that.
AI still needs major breakthroughs to get to that point. And when it does it might very well have outpaced humans in a multitude of academic fields. Including the ones listed by Jensen Huang (the sciences).
I had a similar thought but challenged myself to think about the other side. Using this list many companies and thinking about those founded after 2012, because it takes a couple years to enter the mainstream, we can see that there's quite a bit of opportunity. https://en.wikipedia.org/wiki/List_of_largest_Internet_compa....

Social media for sure, but the entirety of AR/VR. AI, and not just GPTs. but recommendation, detection, sentiment, data mining are all things that are 'new'. We can also think about things like online banking or healthcare apps that didn't exist. I was still sending checks in 2014, and I certainly wasn't doing video visits with my doctor. As someone that is middle age, when I ask younger people they point out how much opportunity as a counterpoint to the cynicism I'm seeing here HN.
This doesn't address people that would move there given an available supply of housing, who have no local voting rights.
Yes exactly. The thing I learned is that it all has to work independently, then you glue it together with policies. Even the simplest hard coded decision is going to be wrong in some context.

Even with such an approach, you’ll still miss something, but at least policy mechanisms provide a pattern for refactoring and new features.

I ended up building what we might call a declarative billing platform. You tell it what you want, and it tries to make it happen. Very successful, technically, but sadly I left the industry before it got into serious production.
If you are doing data analysis I don't think any of the 3 pieces of software you mentioned are going to be that helpful.

I see these products as tools for data visualization and reporting i.e. presenting prepared datasets to users in a visually appealing way. They aren't as well suited for serious analytics.

I can't comment on Superset or Tableau but I am familiar with Power BI (it has been rolled out across my org), the type of statistics you can do with it are fairly rudimentary. If you need to do any thing beyond summarizing (counts, averages, min, max etc). It is not particularly easy.

For data analysis I use SAS or R. This software allows you do things like multivariate regression, timeseries forecasting, PCA, Cluster analysis etc. There is also plotting capability.

Both these products are kind of old school, I've been using them since early 2000's, the "new school" seems to be Python. Pretty much all the recent data science people in my organization use Python. Particularly Pandas and libraries like Seaborn (https://seaborn.pydata.org/).

The "power" users of Power BI in my organization tend to be finance/HR people for use cases like drill down into cost figures or Interactively presenting KPI's and other headline figures to management things like that.
It's not anthropomorphism, it's just life.

The exploring of an environment, learning and surviving is not unique to humans, but all life on this planet.

Sure, some of us may not see them (our alive brothers and sisters on this planet) as "intelligent", but undeniably their learned, and hereditary behaviors (learned through evolution, I guess), are very intelligent, especially for survival, and are tethered to the real world. They are all part of an intelligence which we all share.

They are (these behaviors), in fact, from a certain point of view -- reflections of the real world, or models of it. In a way that is even closer than language, or at least, orthogonal. We need that orthogonal source of real-world data (which is even more enriched with reality-info than language is), to bootstrap these AIs to a higher level of utility. :) hahaha :)

Regarding your point on degrees of fidelity with reality, the way I explain that is that they (OpenAI et al, or the AI models) have extracted world-information from semantic mining of enormous data. That's good, but only up to a point, as we see.

I think we need real world experience to get the rest of the way. Or, put it differently, to make it a helluva lot easier to get that juicy world info haha! :)

I don't think we to "prove" it. It's not math. It's a blackbox. We just have to try it and see. :)
It's slightly better than operating cashflow neutral. It's growing at a very healthy rate. It's definitely sustainable.

The debate is around is it worth $5 billion or $50 billion. It's not as easy as one might think to figure which.
For personal use I tried this.

I no longer use llms.
I thought PrivateLink was branding for vpc interface endpoints? There's no ip subject restriction for that because it's basically a proxy. Are you thinking of vpc peering?

VPC endpoints seem preferable in this situation.
What's your note taking strategy for when you're reading?
Interesting that a lot of these things seem to be that both too much and too little being bad. Tricky to hit the sweet spot but it seems the best way is usually try and do it with diet.

I've seen a few times where they've noticed that, say, higher antioxidant intake is correlated with good health outcomes, so they set up a trial to give people a mega-dose to try and fight cancer or something and find it actually makes things worse. Seems for a lot of these nutrients and vitamins the benefit is an upside-down U-shape and supplementation can put you way past the peak benefit and into where it becomes harmful again...

Which is why multivitamins seems to be a bit of a scam and studies can't find any benefit from them. It's probably worth getting some bloods done and only take what you're deficient in - for example vitamin D being a common one.
Mine would definitely be designed in dark mode, and minimalist.
It wouldn’t allow comments. I’d probably have a suggestion box though so readers could suggest things they’d like to read or see, or for feedback.
I’d probably not worry about Twitter Cards or Meta Tags or share buttons etc because if I was blogging it would mainly be a writing hobby for myself and so maybe having one or two engaged readers would be what I would want, rather than a mass following so I’d not be interested in social media.

I think what you put on your blog has to match what you think is appropriate to your target audience… if you have a target audience.

I’m too lazy to actually start a blog, but I do sometimes like to write, and I like to post it somewhere, into the internet abyss of random anonymous shit posting…
There is a lot of innovation, with many viable options, in the Apple MDM market. Kandji, FleetDM, micromdm, etc. In my experience, Jamf is only the ‘gold standard’ when one has only cursory knowledge of the space.
I expect Unity's stock price will continue to drop for a while. It's my opinion that the adjustments that Unity made (layoffs and the engine license changed) were not just about "pumping the share price". Unity's financials were simply mid to long-term unsustainable - they were spending much more than they were making.

Unity is probably overvalued, and if its plans to reshape itself into a viable long-term business, it'll probably have to eat a bunch of share price drops.

Taking a quick peek at the Q4 shareholder letter, it doesn't really look like any of their belt tightening has really taken hold yet. 2023 Q4 has broadly similar operating expenses (R&D, S&M and G&A) as 2022 Q4. 2023 Q4 revenue barely up when you exclude the one time WETA release. Overall, Unity is still very much in the red.

2024 will be interesting to see.
WebGL2 and now WebGPU is allowing networked access to the GPU. That's new since 2014.

Edit: plus flexbox
I fine-tuned an LLM to do technical stuff. It works pretty darn good. What I actually discovered is that when evaluating LLMs, it is surprisingly difficult to evaluate them. And, also, that GPT 4 isn't that great, in general.
the chart type is the font, and the data is literally the text you type, so the chart itself is alt text

this is like, maximally accessible
(For the lazy, that's between $33.5B and $61.5B, at current exchange rates.)
Thanks! No plans for NIST at the moment but potentially down the line.
Sure, I'm just saying in other markets these places are already at mid-tier prices, and the US market looks like it's heading that way too.
This source for this project has almost no comments at all.

I don't understand how projects like this ever get new contributors, or how the current maintainers manage to remember everything about why the code is the way it is.
Which model did you start with?
Yeah, that's exactly my thinking man. We have to root intelligence in the real world, otherwise it will endlessly spin in these abstract loops.

Akin to how logic -- untethered by emotion, intuition and experience (wisdom, maybe if you want? Understanding? Sure) -- can justify any obscene conclusion, and can not discriminate between morality.

Reward functions or a system of values -- these things are rooted in real world experience. Logic is required, sure, but insufficient. At least alone! Haha :)
Jensen is trying to sell GPUs…so it’s not really surprising a sales man is trying to get sales
I'm confused. The articles talks about the data not being available for download and cites another article[0] which talks about it being available only for a fee.

However if you go to the maps you see the data available for download and no fee[1].

What am I missing?

[0] https://potsandpansbyccg.com/2024/02/14/shouldnt-broadband-m...
[1] https://broadbandmap.fcc.gov/data-download/nationwide-data?v...
Good point - however I only manage to turn them on/off by yanking cables, it's incredibly annoying to do. The on/off switch just changes from wired to wireless and still keeps some connection.
I'm guessing it's for time sync, but any clock worth it's crystals will keep good time for quite a while. Every substation generally has GPS time sync if it isn't fibre connected, for synchrophasor measurements or accurate timestamped waveform captures for example.
> I crave a computing era where we can return to the fundamentals.

The core of this comes down to -- will it scale?

This is what I want to see from the OS/OW AI models (open source / open weights) universe (kudos to Hugging Face for facilitating this).

I suspect the OpenAI model approach, where all infra is hidden and the models are hidden behind services, can't scale to meet the demand of what people want out of AI. Directions like Mamba over hungry compute Transformers, SLM as over expensive LLMs, and so on, will commodify AI services as operational frameworks mature. OpenAI gets that, hence why they are listening to consumer demand, but their moat assumption is faulty.

That said, I am optimistic about the future of this technology and others that are currently being mined for breakthroughs.
Americans under the age of 70 who are in politics are too crazy to get elected as POTUS (and this really says something with Trump being the bar for craziness), and non-crazy under-70 people are too smart to pursue a career in American politics.

As far as I can tell, Biden is only doing the job because he loves the country and doesn't want it going down in flames with another Trump presidency, and there's honestly no better and electable candidates available on the Dem side (which has long been a problem with Dems anyway; Obama was a big aberration here in that he actually had a lot of charisma and likability).

So yes, I agree the US seems to have a systemic inability to choose better candidates.
You can get a decent idea of the color shifts from an LED light’s spectrum if the manufacturer publishes TM-30 data for it. This attempts to compare color rendering similarity vs a reference illuminant, based on 99 spectral reflectance distributions representing a variety of objects that might be illuminated. The standard has been around since 2015, but unfortunately many LED light manufacturers still don’t provide this.

The spectrum data gets boiled down (or not) in a couple of ways:

1) Rf, or “fidelity index” where a score closer to 100 means it renders colors more similarly to how they look under a reference illuminant (which standard illuminant is used for comparison depends on color temperature). But as you summarize more information down to fewer values, you of course get less detail - many different spectrums could provide an Rf of 95, with different visual effect. Rf only gives you an idea of whether the visual difference between this light source and the reference illuminant will be large or small. It’s a similar concept to “CRI” scores if you’re familiar with that, but based on a much better set of samples, and not as easily gamed for a high score by carefully designing an LED’s spectrum to correctly render CRI’s more limited set of color samples.

2) Color vector graphic, shown on page 28 of the PDF linked below, shows a smushed circle which broadly illustrates how different hues are shifted. For example, reds might be undersaturated and shifted toward orange. This is still summarizing, not all red objects will have the same shift, depending on their precise spectral reflectance distribution and the source’s spectral power distribution. But it gives a better idea of how the light will look than the Rf alone.

3) Color sample vectors shown on page 24 of the same PDF, which shows each of the individual 99 spectral reflectance samples used for TM-30 and how it will shift compared to when viewed under the standard illuminant. The color vector diagram in point 2 is a summary of these, but if you want more detail you could see them individually. I’m not sure anyone actually publishes this since these particular 99 samples aren’t likely applicable to whatever you’re doing. And ultimately it’s still not the full story, because this is all based on 99 specific color samples attempting to be a representative spread of materials you might encounter in the real world. But 99 samples certainly can’t represent all materials. To get real answers you’d need to go down the same rabbit hole that the article did and measure the spectral reflectance of every object you’re lighting.

https://www.energy.gov/sites/default/files/2022-04/ssl-royer...
Seems interesting, we definitely need more advanced open source editors.

However, this gives off very unpolished vibes.

The demo renders poorly on mobile, with the textarea on the first page squished horizontally. The "Basic Editors" demo has the opposite problem, and there is horizontal scrolling with elements out of view. It's not clear if this is a fault of wax.js or of the demo page, but it's a bad first impression.

There is also a typo on the Features page:

> Select text and add a comment or particpate [...]
Running Mistral-Instruct-0.1 for call/email summarization, Mixtral for contract mining & OpenChat to augment agentic chatbot equipped with RAG tools(Instruct again).

Experience has been great, INT8 tradeoffs are acceptable until hardware FP8(FP4 anyone?) becomes more widely & cheaply available. On-prem costs have been absorbed already for few boxes of A100s & legacy V100s running millions of such interactions.
Which base model did you use and what methodologies you used?
I recently implemented Terraform for a Jamf instance. In my experience macadmins are often much better at code driven workflows than Windows admins. MacOS is, after all, a real Unix. And Apple’s MDM protocol documentation is far superior (that’s why features are implemented quickly).

Jamf’s script feature is agent based, just like Airwatch’s, not an implementation of the MDM protocol.
Video Games are one of the most potent attractions for peoples attention. In 2008 the whole industry was worth $12B. In 2010 it grew to $25B. It would have been easy to sell continued growth in 2016 because the industry actually did continue to grow to no one's surprise. $191B in 2021. Investing in the industry at the time would have been smart.

Unity sells shovels in a gold rush. In 2016 Unity was known for being easier than the competition while having fantastic multiplatform/mobile support. They were positioned to take a tax on games sold on every major platform. It's almost impressive how badly they ruined such a winning hand.

Among Us, Pokemon Go, Beat Saber, Genshin Impact, Hearthstone, Rust were all made in Unity.
URLs Make ChatGPT Stupid
Then we'll end up with some horribly unlikable woman on the Dem side, running against some crazy woman on the Rep side ranting about space lasers.
It's not very different in terms of amplitude, though rise times for an E1 EMP impulse can supposedly be single digit nanoseconds so equivalent to a >400 MHz impulse. I know from experience that modern electronics can't handle that because I've fried USB ports by operating radio systems in that band, though there are some obvious differences there.