skysight-inc/HackerNews huggingface dataset:
I'm 99.9% certain that every single blood work results out there provide your measurements in relation to what's considered low/normal/high
My wife is a doctor and she already has an AI scribe that records visits, transcribes them, summarizes, and prepares her orders.

It seems like having that scribe also review lab results wouldn’t be far off, but we are still not ready to let the AI system interpret and inform the patient without human intervention.

The problem here wasn’t that a human missed the low platelet count, it’s just that it wasn’t reviewed yet. Both a doctor and an AI system would haven spotted the issue immediately.

I am not saying this isn’t a great result, but the AI intervention must come from the patient side, not the care providers side. The providers have too much at risk, while the patient is able to pick and choose their own AI and decide what levels of risk they are able to accept.
Care to explain? This does not appear to be related.
I just started using CAD last week, but as I understand:

- Plasticity is so expensive because it uses one of the major kernels (SIEMENS Parasolid). Most of the licensing fee actually goes to them. You can find the Show HN post with a much cheaper price before he changed kernels.

- There was a firm called Ondsel that was trying to improve the UX of FreeCAD by selling a fork. It recently folded. One of their employees is trying the same as AstoCAD. The idea is that you fund the development of FreeCAD, and you get the improved binaries before the work lands upstream.
Everyone should read this.
I think doctors who are skeptical of a patient's Google research would also be skeptical about a patient's ChatGPT research.
TLDR: She was having some health issues, so asked ChatGPT. It recommended she get bloodwork done, but she already had and got the results the night before but her doctor hadn't reviewed the results yet. So she uploaded the lab results to ChatGPT, which responded with "Your platelet count is alarmingly low. You should go to the ER urgently."
My comment wasn't meant as an attack on you, on the contrary. I think we agree on your points. I find it absurd that one can be pro gun control but then be selective about what kind of gun violence it's meant to reduce.
Not at all.

AS1 was plain ES3.

movieclip._x or movieclip._alpha (as in position and alpha blending) were accessed by properties with underscore to denote that you were using accessors (getters/setters).

Internally properties like Object.prototype.__proto__ had two underscores to denote they were private.

In AS2 you had:

class Foo extends Bar implements Xyz {
private foo
public function set x (value : Number) : void { ... }
public function get x () : Number { }

AS2 was based on long forgotten ES4 specification [0].
Under the hood it was still, what we would call today, transpiled to ES3 bytecode, as it run basically on the same VM as AS1.

It's crazy to think it took us 10 years to reinvent the wheel with TypeScript.

AS3 was a complete rework, more akin to Java.

[0] https://evertpot.com/ecmascript-4-the-missing-version/
I don't know your french level but perhaps you read your quote too fast because it says: "Mets qui vient après les hors-d'œuvre et AVANT le plat principal".
So the "entrée" is the dish that comes BEFORE the main dish.
And up and up they fly,
as fireworks in the sky,
screeching ever higher,
towards their inevitable bang,
a great ball of fire,
a last flash of yang,
before relentless gravity,
indifferent to hubris,
brutally ends this crisis,
and restores back harmony.
Ah! Sure is. I missed the sidebar when I looked through. Overall this is very nice. I typically use omnicalculator, this is a nice fresh look compared to that tool.
I have not.

But I'm skeptical this is an issue. In the same way that Joe Rogan and conservative media decided to start saying schools letting children use litter boxes in school was a big problem, which was also not true.
I’d suggest changing that name.
In a world where tech layoffs are super common “Stack Ranking” has an extremely negative connotation.
Unpopular take: ChatGPT is better at diagnosing medical problems than a doctor who does a cursory evaluation.

By cursory, I mean an evaluation that does not take into account a very thorough assessment of all the evidence. P(condition | evidence) is not very accurate when the evidence is vague and sounds like many other conditions. It is a rare doctor who spends more than a few minutes asking about all possible symptoms, even those that may not occur to the patient that they have. Such doctors certainly exist, and I’ve had a few, but for the most part I have to do my own research and present it to a doctor for it to even be considered as a possibility.

As anecdata of one, I’ve been having all sorts of weird rashes that come and go. Could be eczema, lupus, psoriasis, who knows. Googling makes you think it could be anything. So I took my entire medical history, all medications, all symptoms, their frequency, etc. and threw everything into ChatGPT with the prompt “Give me a list of possible diagnoses ranked by likelihood based on the evidence”. At the top of the list “Mononucleosis (EBV induced)”.

Ah, but I forgot to mention that I had mono 12 years ago. I can’t catch that twice. So I told ChatGPT that I had it previously. “Still mono. Possibly recurrent due to some problem of the immune system.” So I went and got an EBV antibody panel. Positive for all three, including the EBNA test which is positive if you ever had mono previously.

It blew my mind that a LLM sussed this out, because mono wasn’t even on my radar.
Product page: https://www.beagleboard.org/boards/pocketbeagle-2
Alibaba Open Source Large-Scale Video Generative Models: Wan2.1
>Despite what Schiller said, a committee that included Apple CEO Tim Cook, former Apple CFO Luca Maestri, and the company’s legal team along with Schiller, ended up voting in favor of charging a commission for purchases made outside the App Store.

- "You know how many committees we have at Apple? Zero. We are organized like a startup." – Steve Jobs.
This is a bad faith argument. What if they just said mugging instead of stealing?
The more that we have AI trawling our writing, the more important I think it is to realize that AI is part of the audience.

I have been thinking about writing more "cookbook" style posts so that users and AI have good modern examples to look at. CSS-tricks is a great example. It has good code and and is easy to search.

One thing that articles that include code need to tag good and bad examples. AI will get better at recognizing the bad, but we should have more comments that say "This is bad. Use the better pattern."
That is my understanding as well.

Curious what CAD program (programs?) you are using and what sort of work you are doing and how you are approaching it.
Don't see what an LLM really adds here that wouldn't be served by a sensible algorithm which flags up results needing urgent action.
Maybe the end user get more clearly explained and non-bewildering information, which is useful, but also points to a failure of any health system / internet resources to provide this.

The LLM _HAS_ empowered the patient to act on his own health, which is undeniably a good thing.

Not sure about seeing the LLM as a companion.
The playbook is obvious - if Trump loses, Vance refuses to certify the election results due to "fraud", Republican states will produce alternate lists of electors that vote for Trump, and he will claim that in reality he just won reelection with the biggest margin in history.

How do we know this isn't just crazy conspiracy theory? Because they already did attempt the same thing in 2020, and this time they had the chance to vet the VP candidate for this scenario.
Nah, it's to deflect customer support contacts. Which often in the case of ISPs, results in a truck roll which is hugely expensive.
Buy a handheld calculator. Many scientifics since the mid 80s handle compound fractions via the "a b/c" key.
It’s possible to now get plausible diagnoses through an LLM. For which you can further discuss with your doctor.

1. Get your DNA fully sequenced for $200 from Nebula.

2. Download your .cram file. 50gb+

2a. Or if you have a 23andme profile, just request to download your raw data. Use that output file.

3. Use WGS Extract to generate a datafile from the cram file of the SNPs and genotypes.

4. Zip that output file. Upload to a ChatGPT session.

5. This enables you to ask questions about your specific genetic profile.

Bring your findings to your doctor. Discuss their plausibility. It may surface a solution that they hadn’t thought of.
Couldn't create Bing search API resource
I read this post with my wife (medical doctor) and we agreed that this breathless post missed the mark a bit. ChatGPT gave exactly the advice from a Google search for low platelets and rash. A call to any doctor, nurse practitioner or urgent care would have resulted in the same outcome with arguably more trust. The fact that the author trusted ChatGPT more for some reason (AI hype?) seems immaterial. The hyperbole of statements like a minor cut with low platelets = death or having "no platelets" (both false) solidified it - hype over substance.
MLDB: Open-source SQL database designed for machine learning
Cheap clients are the worst.
> I'm just some dude with a decent job occasionally writing blog posts because it amuses me. I'd be pleasantly surprised if a dozen people read them before I die.

That is exactly the right approach. Most of the posts on my blog have low 3 figure hit rates after being up for a decade (the long tail is a joke) - that averages to maybe 20 hits a year. But that is not that point. I enjoyed writing the posts and just maybe somebody, somewhere enjoyed reading my hot take on The Last Jedi or whatever.

I don't really understand the people who blog for "exposure" or money - it seems like such an effort for very little material gain.
You could ride the AI hype by turning these calculators into something LLMs can represent, then having them build them declaratively, then have another model test and rate the calculators repeatedly providing feedback... and 6 months later have the best calculator ever: the HP-12c
HF:https://huggingface.co/Wan-AI/Wan2.1-T2V-14B
Github:https://github.com/Wan-Video/Wan2.1

Wan2.1, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. Wan2.1 offers these key features:

- SOTA Performance: Wan2.1 consistently outperforms existing open-source models and state-of-the-art commercial solutions across multiple benchmarks.
- Supports Consumer-grade GPUs: The T2V-1.3B model requires only 8.19 GB VRAM, making it compatible with almost all consumer-grade GPUs. It can generate a 5-second 480P video on an RTX 4090 in about 4 minutes (without optimization techniques like quantization). Its performance is even comparable to some closed-source models.
- Multiple Tasks: Wan2.1 excels in Text-to-Video, Image-to-Video, Video Editing, Text-to-Image, and Video-to-Audio, advancing the field of video generation.
- Visual Text Generation: Wan2.1 is the first video model capable of generating both Chinese and English text, featuring robust text generation that enhances its practical applications.
- Powerful Video VAE: Wan-VAE delivers exceptional efficiency and performance, encoding and decoding 1080P videos of any length while preserving temporal information, making it an ideal foundation for video and image generation.
A friend of mine had gotten an imaging test done recently, and had to wait 7 days to have her doctor review it. Meanwhile, she got the report and was paralyzed with worry by some of the words (like high risk for ____, etc).

I feel like this is an area where AI/LLMs/whatever can actually help triage test results to tell doctors "hey you really should look at this test result first, it looks concerning" - this would happen in a way that you can't do with other bloodwork (which returns numbers on a scale).

Most radiology reports are just written words, so LLMs could potentially use that to triage and help alert the care provider to prioritize it, so patients aren't sitting there worried for days on end until a doc analyzes it.
AstroForge Mission 2 Preview: Moving at Unprecedented Speed
Someone is always willing to bend towards what the market requires - including complying with whatever insanity gov wants
> IMO, saving one life justifies every cent invested into OpenAI. How many thousands (or many, many more) will we never know about?

What if every cent spent on OpenAI, spent elsewhere, had saved two lives?
Three main reasons:
1. I've messed around with the language enough that it's familiar to me
2. This gateway is mostly about converting data between formats, and I find Ballerina easier for that
3. I was not looking for super low-latency as a typical gateway because LLMs are slower than stateless services
It might be a language barrier but you seem to have trouble understanding basic points being made, or are pretending not to understand because your point was illogical. So I'll repeat my point one more time and then give up:

This is a stupid and ineffective way to catch out people who don't read their email.
In addition, simply taking out the on/off ramps, such as Coinbase, would destroy the utility of cryptocurrency as well, since the grand majority of folks dealing in the stuff are only interested in flipping it for more cash money on the other end by finding the next sucker in the chain.

Very few people actually care about the principles of Bitcoin and the like. Maybe the core devs and some very early adopters?
I think mozilla did this with firefox very successfully.

For many (perhaps most) projects I dont think there is much point.

It's A) easier to do stuff like parallelization to make running all the tests faster B) not necessarily worth it to bring default CI durations down from, say, 8 minutes to 4.
I have stopped looking at my lab results because all it does most the time is caused me extreme anxiety.

I have a rare disease which causes an obscure blood marker to basically jump two orders of magnitude.

If you google this jump marker, basically all the links you find are about a deadly leukemia that you will be dead of in six months.

My appointment with my doctor was two weeks away. Those were very very dark two weeks.

I definitely think you should go over the results with your doctor, but Google or even ChatGPT is not a doctor
Sticking to the original claim is "bad faith argument" now? Note the argument isn't that every action has a universal good/bad categorization, just that "universal truths" exist. Your comment is a bad faith argument.
It’s not just unpopular, it’s dangerous.

Please people, for the love of life and health, don’t trust your medical issues to LLMs.

You’re lucky it was just mono.

Maybe find a better doctor if you feel you’re not getting good enough care…
zlib is really old and out of date, no real reason to use it except legacy. I think most optimization effort goes into newer compression libs like zstd.
Thanks! It's a subscription: $8.25/m billed annually, $12.99/m billed monthly
The results page usually should flag up results which are outside of a normal range, and what that normal range is.

I think that should then be enough to know to Google "Low platelet count".
The person may not know the significance of that immediately, true.
These systems likely vary around the world, this is an Australian perspective.

> When blood works or whatever exam results are available they should go through some kind of automated system that can flag critical situations like this, without waiting for a doctor.

We already have this. Based on either individual results or how results relate to each other.

Labs will detect critical results and then a range of things happen:

- a scientist may repeat or check the result if the value is extreme, to ensure it isn’t an error

- a scientist may alert a pathologist to the result immediately

- a scientist or pathologist may contact the referring doctor/hospital by phone to provide the result immediately

- in some cases, the lab will contact the patient directly (if they need to go directly to hospital for example)

This also gets done with radiology.

This then gets followed by the official report in hours to days depending on how much confirmation is required.
Doesn't matter what my boss objectively needs. If he's got an obsession (or assignment) to track me, then I'll try to juice my metrics with loads of "I'm doing X, its status is Y, I'll do Z next, W is top priority but currently awaiting V, ..." emails to him. Which might also provide me with a gold mile of ass-coverage and paper trail.
I said in another thread that I think that the first step can at least be that an LLM helps triage/prioritize the test results so docs can at least know an order in which to review them, especially with radiology/imaging results which are mostly words-based, rather than the numerical results that often come out of blood tests.
How terrible is our healthcare system? There should be automatic alerts when a blood test returns dangerous levels like this
No irony, not a straw man and no bad faith.
> If I get scammed or treated badly in person in a real public space, I can immediately punch the perpetrator

No, you cannot. Especially not if the person treating you badly in a public space is either twice your size or has a group of people with them.

Unless we are going to dive into the concealed carry fantasies (which don’t even apply to most countries in the first place), imo that whole line of reasoning about physical vs digital public spaces is a dead-end.
I write all my tools myself, so I know exactly what I can do without any actual coding, and I know what additional features are easy to implement. I try to avoid projects which require a lot of additional new code. Then I estimate the hours and multiply by two. The risk of additional work is on me, and I was once off by a factor of around 3, but I try to only accept projects where any newly developed code will either be useful for a long-term contract with the client (which then basically consists of me running a cronjob for money), or where I know that the internal tools I have to develop will be useful for future jobs. Examples of such tools are data converters, data analysis tools, etc.
You might as well piss on the floor, take a picture of the puddle, upload it to chatgpt and ask it if you'll develop cancer between 2033 and 2037, you'd probably get the same amount of hallucination.
The point is not "ducks are a specific risk"; the point is "Americans eat plenty of what we'd call 'bushmeat' in the Congo". There's nothing particularly odd about kids having a meal of grilled bat - it's just the local version of something like https://en.wikipedia.org/wiki/Brunswick_stew.

Chicken and pig farms are likely the biggest zoonotic threats here.
Inference costs will keep dropping. The stuff the average consumer does will be trivially cheap. More stuff will move on device. The edge capabilities of these models are already far beyond what the average person can use or comprehend.

The point I wonder about is the sustainability of every query being 30+ requests. Site owners aren't ready to have 98% of their requests be non-monetizable bot traffic. However, sites that have something to sell are..
It’s not just the “easiest thing in the world”, it’s an easy task with a gun pointed to your head. Do you not see this?

Even more than that, the threat of firing by not complying is likely illegal.

It’s a false equivalence to say that people who don’t respond to the email (or do some other jump through the hoop activity) are not justified to have their job, gov or private.

Maybe they’re on vacation, maybe they’re concerned about the legality of the action, maybe they think it’s a phishing email from some department they don’t recognize, maybe they’re doing classified activity, maybe they’re too engrossed in their actual duties, maybe they’re without internet access, maybe they’re on a submarine for the next 3 months.

This email screams incompetence and trying to find a pretense to justify punitive action. It is not indicative of any honest well-meaning changes.
It seems to me what the LLM adds is that it is the sensible algorithm which flags up results needing urgent action in a growing set of everyday domains.
Great, but I specifically said Keyhole from which Hubble was a descendant. Which Keyhole bird was launched by SpaceX?
> You can still call an law-abiding citizen that volunteers in his community and donates to charity a "bad person", if one day he goes rogue and punches someone in a fit of range, for instance.

Sure, but is that universally true? Would someone be necessarily wrong if they still said that the puncher is not a bad person and was not a bad person in that moment?
'Koji flour' product can help reduce reliance on cocoa in popular foods
SLAAC’s awesome, though. It’s one of the good parts we definitely want to keep.
I dont like visual only drugs. That is like watching a screensaver for a few hours.
One could have done exactly the same thing with expert systems we had in the 60s. Or a checklist. Or a reference book.

Far more reliable, no risk of hallucination.
I don't really agree, unit test should test behavior, having types of not should not be a defining factor in the coverage.

I don't think patterns as a whole are good but there are known issues and structures to existing problems so boiling it down to art seems reductionist imo.
If it helps you so much and it's making you money, then pay for it.
This doesn't seem relevant to the post, rather an anecdote where you confirmed that you had EBV in the past with the help(?) of ChatGPT (which you already knew). I don't see where you diagnosed the cause of your rashes.
She already knew that something is not normal in the test result, so she could just have typed the text from the result in google but sure sending a picture is faster on a mobile device.

Btw I agree AI can help, my issue is with greedy people salivating for money while attempting to do "AI doctor", "AI teacher" "AI physiatrist" ,
this important AIs should be build by non profits and correctly checked by competent people for safety. Because of $$ reasons this AIs will be marketed with more abilities then they have and the downsides will be hidden, again because of $$
I can't tell if you're trying to say that ChatGPT hasn't added anything here?

Yes I'm sure a human doctor would have noticed the low platelet count -- if they bothered to look at it. Which they didn't (or at least hadn't got around to yet).
Nvidia Releases Foundation Model for Biomolecular Sciences
You can save one life for a lot cheaper than the countless billions poured into OpenAI. This might be the least efficient life-saving intervention in history, and that's before calculating for harm caused.
This is such a good model for how to write a beginner friendly introduction. Especially the motivation for the Ito lemma, with the dW^2 term remaining important even though it disappears in regular calculus, and the conversion to Stratonovich is really nice.
https://archive.ph/1AvnK
> Because this "please let them use encryption, but let us peek around it" just doesn't feel right.

Most of gov regulation works like that. You can have guns but only registered ones. Machines guns illegal unless it’s military etc
Is it up on archive.org?

https://web.archive.org/web/20230325080337/https://www.cadhi...

if not, drop me an e-mail at my username here @aol.com and I'll dig it out.
Those have value, sure. We exchanging here are in the upper percentages already. I use US-based tech, and it's cool.

You are talking about technical advances that lower the price of services and enable the production of goods, all well and good.

Can you explain how those close the gap? The wealthiest enjoy those just as much as the rest of us, while their accumulated control of resources is greater than the accumulated control of resources for the less wealthy. Real wages have declined for most while all the goodnesses you describe have been introduced.