HN user
Computer Science student from Australia.
Anecdotally, this article seems to match with what I am witnessing regarding browsing habits. I am planning a big trip with others and everything is being found via social media apps; destination ideas, experiences, cafes, accommodation, etc.
The pattern of:
- Some channels being affected more than others
- Likes remaining stable
- Revenue remaining stable
Could be explained by Youtube only counting non-adblocked views.
Perhaps an attempt to align Youtube's goals with creators' goals. If we don't get revenue then you don't either.
Source for anyone wanting to try host it themselves:
https://gitlab.com/cybears/fall-of-cybeartron/-/tree/master/...
Would appreciate anyone summarising the key differences here as I can't watch the video at the moment.
Many staff in different roles, 3+ shifts a day, 365 days a year is a lot of labour costs. Replacing even a fraction of labour is likely $100K a year of potential investment. More so in expensive labour countries.
Not sure if you already have this but something you could steal from the medical world is shortcuts to describe relative dates / time:
n+60 (is now + 60m)
n-10 (is 10m ago)
t+1 (is today + 1d)
w+2 (is two weeks from now)
m+12 (is 12 months from now)
Off topic because I am skeptical of the claims in the first place. As a general principle: the licensing exam is not the benchmark AI should be evaluated against to then go about calling itself a doctor.
I'm from a different country but these exams are the minimum standard to demonstrate a doctor is safe prior to interacting with patients. To be really explicit, the core competency being assessed is identifying potentially serious situations and answering the same way every time: "I WOULD CALL FOR HELP" +/- principles of basic care.
The benchmark for doctors actually making decisions about patient care are the assessments to become fully qualified consultants in a each specialty.
Again, to be really explicit don't confuse a test for "doctor won't immediately kill someone and commence reasonable first steps" with an actual "doctor with years of experience and subspecialty training who regularly makes decisions about patient care".
I found the origin of ECT quite interesting: depressed people with epilepsy had dramatic improvement in their symptoms following a seizure. They also discovered that the type and location of the seizures had varying levels of effect.
There is some evidence that "aerobic exercise" itself produces an equivalent baseline energy deficit without the performance downside.
This guy[0] studies total average energy expenditure over time and demonstrates that an athlete undertaking intense regular exercise uses marginally more energy over time than someone sitting on a couch all day. The hypothesis being that the athlete is conserving energy by down-regulating baseline metabolic and inflammatory processes when at rest.
Disappointing news for "exercise causes dramatic weight loss" but encouraging news for "exercise is anti-cancer" (a correlation demonstrated many times I believe).
[0] https://www.science.org/content/article/scientist-busts-myth...
I worry this comment is overly dismissive of criticisms and overly optimistic about potential positives. On medicine topics I think it is important to try remain objective.
1. On DXM being an NMDA antagonist: At high concentration DXM is an NMDA antagonist and AXS-05 does dramatically increases DXM concentration [0] (slide 6). It is not clear to me why we should "ignore anyone" who makes this comparison?
2. On AXS-05 having a wide array of receptor targets: Almost all psychoactive drugs have some affinity for many receptors (just wikipedia any anti-psychotic e.g. [1]). Are any of the targets mentioned clinically significant at therapeutic concentrations?
[0] https://axsometherapeuticsinc.gcs-web.com/static-files/4a508... [1] https://en.wikipedia.org/wiki/Olanzapine
The article said Dolby prefers to charge on the playback side. Does anyone know if Apple pays Dolby anything? iPhones produce a lot of content so it makes sense for Dolby to provide Apple with free licensing if it popularises the formats.
Fatty liver and high fat in blood is a disease and a risk factor for serious disease respectively.
This study appears to show that fasting is related to inducing the gene Slc25a51 and improving those factors.
I guess this contributes to the body of science around the potential health benefits of fasting.
Perhaps the title should be editorialised to reflect that it was an extortion attempt by an insider?
You could open the link in a new private browsing window and enter an incorrect guess.
Targeting doesn’t have to occur at the cell surface does it?
Perhaps something like introducing tumour suppressor genes to every cell. They’ll have no effect on healthy cells yet detect “badness” in cancerous cells and terminate them.
Neo: “Are you trying to tell me that I can alter DNA?”
Morpheus: “no Neo, I’m trying to tell you that when you’re ready you won’t have to”
Altering the DNA is unnecessary if you can control the expression of genes or add additional genetic material later in the DNA->RNA->protein process. mRNA vaccines are already a great example of this. Another example might be the cystic fibrosis therapy Trikafta.
Sorry for the late reply. This is what comes up when I google News Corp: https://en.wikipedia.org/wiki/News_Corp_Australia#Television
The easiest way to lie is with statistics. It’s also true that:
News Corp earns 40% of total Australian television revenues — combining free-to-air television advertising and subscriptions — almost double that of second- place holder Nine.
News Corp owns a 59% share of the metropolitan and national print media markets by readership.
News Corp has 23% of total radio market by revenue.
Med Student here so possibly wrong but...
There is a well established link between oestrogen and increased blood coagulability. Whilst it is possible females are more affected by the vaccine I suspect one factor is that their baseline coagulation risk increases their likelihood of thrombus due “reaction induced coagulability” compared to males.
I posted this in a few cancer threads with good response: the seminal work on cancer is actually a really quite approachable and short free paper - “Hallmarks of Cancer” by Hanahan and Weinberg.
For anyone wishing to understand the fundamental features and survivorship bias that all cancer cells go through I highly recommend it.
I think this is an updated version: https://www.cell.com/fulltext/S0092-8674(11)00127-9
I have no evidence to support this, but to me, autism seems like a poor label for a broad and diverse set of traits we don’t fully understand.
Over time I think the number of things autism describes will shrink and eventually the term will disappear as we correctly understand all the underlying conditions / factors.
Note this is a just a single case report.
A single case report is an interesting starting point but in the hierarchy of evidence [0] it is the lowest or doesn't even make the scale.
There is an excellent pre-packaged VM with levels of challenges that take you through the basics of exploitation to quite advanced levels called "Modern Binary Exploitation" [0]. I would highly recommend it.
You can also do the challenges using IDA/Ghidra instead of looking at the source for a proper challenge and I recommend doing this initially for each challenge.
The column is explicitly labelled "effective vs theoretical" though. There is nothing misleading there.
It's a tough read without much prior knowledge but the seminal work is: Hallmarks of Cancer by Hanahan and Weinberg (I think this is an updated version: [1]).
It introduces the fundamental features of all cancers. Every cancer ends up with pretty much all of these traits because of strong survivorship bias. Those that don't develop these traits die off.
Related CTF challenge you can undertake yourself: https://gitlab.com/cybears/fall-of-cybeartron/-/tree/master/...
Write-up of solution: https://greenbender.github.io/ctf-writeup/post-cybearsctf-20...
I’m very much not an expert. I think the state of the art for measuring brain activity is the functional MRI. fMRIs have limits on their spatial, temporal and ‘activity’ resolution. I think they also measure ‘only’ blood flow and not electrical activity.
My guess is that if Neuralink does nothing more than provide a more sophisticated tool for investigating the brain than the current state of the art then it will have been a success.
A quick google suggests the highest resolution fMRIs currently have about 1 million voxels of spatial resolution at a sample rate of about 1/sec. EEGs can measure electrical activity but only at very low resolution and on the surface.
A bunch of app suggestions for reading reddit and watching youtube is terrible security advice and borderline dangerous. People should refrain from providing any (pseudo) security advice unless they know what they are talking about.
There may exist people with a genuine need for device hardening and I hope they do not read this article.
EDIT: I’ll leave my comment but I on second reading I notice that the author is specifically targeting normal people and is trying to make it accessible. Arguably should still not be called “hardening”.
I actually find the intel manual on SIB bytes quite straightforward and useful. Section 2.1.5 and specifically tables 2-2 and 2-3 show really quite simply all possible values of the ModRM byte and their operands [1].
It can be quite a good exercise to try and produce your own hex opcodes from the tables using something like CyberCheff [2].
[1] https://www.intel.com/content/dam/www/public/us/en/documents...
[2] https://gchq.github.io/CyberChef/#recipe=Disassemble_x86('32...
I wonder how hard it would be to try handle the segfault and allocate stack space on demand for these “threads”. Almost certainly stupid but a fun experiment to see if its possible...
EDIT: found a nice example of this here: https://rethinkdb.com/blog/handling-stack-overflow-on-custom...