2,568 karma · joined May 2, 2017
I think what you meant was you didn't buy into it, and this is proving your point of view.
He's gone from freedom of speech absolutionist to defining the limits of freedom of speech by whether you discuss social interactions on other websites.
It isn't as simple as a one-dimensional scale between freedom of speech absolutism and not, and the fact that so many people seem to believe this makes me think that people don't have a basic grasp of ethics, nor an ethical framework to make decisions on.
1. Are you just an advocate for following a website's terms?
2. Or do you think there is credibility in these terms?
This makes me think that we, as a world, are failing at building an ethical framework for people to work by. Why is it that so many of us struggle to evaluate what is ethical and what isn't? It isn't taught at school, except in the context of religion. We all need to understand the principals of autonomy, beneficience, nonmaleficence & justice for starters.
> 1. If you don't encounter any trouble daily driving GNU/Linux, that is actually a sign of inexperience. That or you're doing nothing interesting.
I do loads of interesting stuff on linux, I use it for research, numerical computing, biology etc. None of these things cause linux to skip a beat.
> 2. If principles mattered more than convenience, most Linux users would be on FreeBSD or OpenBSD instead of GNU/Linux. Either follow your arguments to their conclusions, or understand that Windows/macOS users are doing the same thing as you—making practical tradeoffs.
The world is not black and white! There are degrees to which people behave, and there is a spectrum of behaviour that abides by certain principals and doesn't. I had someone say to me recently that they didn't believe there are 'ethical people', instead people make use of the opportunities presented to them. This isn't true and is more a sign of how they've justified their own life choices.
> 3. Unless you are doing tons of system administration on your daily driver, most of your time is spent in applications, and the choice of operating system doesn't matter too much.
I, like many people, tend to use more than one application, so I find the OS does matter. On Windows 10, when I hit the start bar, and start typing the name of an application I want to launch, I really do care when the bar sits there loading up, scraping internet data to show me its suggested apps and adverts.
I always felt I could dive deeper with linux problems _if I wanted to_, and that weirdly gives me some confidence that I can fix it.
It also helps to compare costs, as 20mpg is far less efficient to 30pmg than 30mpg is to 40mpg, but the numbers suggest the difference is similar.
I agree there are risks of bubbles though.
My favourite devices have been more alternative. E90 running symbian, which was fairly 'open' for its time - I could install any software, proper multitasking. The N900 also, full linux system, great phone. But then the apps I find useful, are often not available for that platform.
At the moment I'm on Pixel, which has been a good balance between being well supported, while still fairly open. I can sideload apps, run a linux distro in the form of termux. As a bonus the camera is great. I have to remind myself that while it might not quite compare to iphones in terms of refinement and hardware, I do at least have more freedom on the platform, and it's easy to take that for granted until you lose it.
Being older now, I see that the real value in the item or experience was being able to tell me about it. So many things fall into this category, if not completely, at least partially.
[1] https://www.zocalopublicsquare.org/2011/11/30/how-doctors-di...
This is also a clue as to why we don't have a perfectly rigid system, as a library of T cells capable of recognising every combination would weigh 600+ kg.
I moved onto the N900 when my E90 slipped out my linen trousers in a taxi in Morocco.
Novel epitopes should be high copy number - and driver mutations will be present in 80-100% of the cancer cells. It depends how many cancer cells you get in your biopsy that you sequence I guess.
It is easier for a cancer cell to mutate or remove a cell surface protein than to mutate the same mutation targeted, but you are right - that can happen and I'm sure will be a form of treatment resistance for these types of treatment in the future.
Also on the cell membrane is MHC-1, which shows a short (9-11 amino acid) fragment of protein produced from inside the cell. Our T cells are trained in our T cell kindergarten (the thymus) to not identify our usual self proteins, but detects anything different. They have already been demonstrated to identify single amino acid changes from normal.
Yes, the micro-environment means the immune cells reach a dynamic equibrium. This is because when a cancer presents to healthcare, it is already a chronic process. The T cells are termed 'exhausted', but it's debatable whether this is a good term for it, because they are still active.
A lot of cancer treatment 'shakes up' the microenvironment. This can be enough to tip into a cure. When you make CAR-Ts and adoptive TILS you either pick healthy T cells not involved in the cancer or buff them up in the lab, both in numbers and health.
The hope is that a refreshed army of T cells will push that dynamic equilibrium towards a cure.
This study isn't CAR-T. It is more similar to adoptive TIL therapy because it is using the T cell receptor (TCR) to target the cancer's mutations. This has a huge advantage over CAR-T.
At the moment we use CAR-T to target, mostly, B cell cancers. These cancers have CD19 and CD20 on their cell surface, as do most B cells. We can safely target these cells because it turns out your B cells aren't critical for life. Think of it like an amputation. Your B cells went rogue, you wipe them out.
The problem is this doesn't translate to other cancers, which don't have an obvious cell protein you can target specific to a group of cells you can do without.
All cancer cells have mutations, and all cells in the human body have to display a sample of its proteins on its cell surface. This way our immune system regularly identifies cancer and removes it. Cancers that get established have somehow leveraged local immunosuppression to hold off the immune system, and so the immune system and cancer become a stalemate, or worse the cancer takes off and kills the person.
If we can target the mutations of the cancer, then we can get at the heart of the cancer itself.
You might ask why the cancer just doesn't display it's antigens on the surface. If a cell does this it gets removed by NK cells (natural killers) - our body's fail safe.
What I find interesting is that I didn't think we were close to predicting what TCRs can bind to to a peptide on MHC on the cell surface. I'm going to need to look at the article to findout how they did this. I suspect they used a library of known TCR-antigen interactions.
The article is talking about a very bespoke process where they take a patient's cancer, sequence the whole thing, select mutations they think will be presented on MHC-1, predict the antigens visible, and 'somehow' (I need to read the article more carefully to figure out how they did this) select a TCR sequence which will bind to that. Then they use CRISPR to graft that onto the TCR gene of a T cell from the patient (3 types by the looks of it), and re-infuse the targeted cells.
So yes, that would cost several million.
The main issue is that our immune system is very good at removing non-self, so a lot of work would need to go into stopping the immune system doing this.
The article isn't talking about CAR-T though, rather TCR-modified T cells. These are very patient-specific because we have a unique MHC signature (this is why we have to find a 'match' for a transplant recipient). Previously people have taken the T cells from the tumour site, boosted them in the lab, and re-infused with some remarkable and curative results. The outcomes in this trial weren't so great but it is novel to splice in a new TCR.
I guess for the treatment to be most effective you need to target some of the earlier mutations, rather than a small clone.
From my perspective, and not having read the paper, I thought the technology to predict what TCR would bind a particular peptide on a particular MHC-1 was not there yet.