I imagine he’s spaghetti throwing at the wall hoping something sticks
Because if nothing sticks, man the justice system is going to fucking grind his ass up. That or he flees the country. That man has used nearly every delay tactic the justice system can afford a person. A two time loser is going to have a very difficult time convincing them to give him a third chance.
Preheat and homogenization were not testing in these processes. Both are steps used in most US milk that would likely inactivate the virus. Moral of the story is still you are an idiot if you are drinking raw milk.
Fragments of the virus that are being found in about 20% of all milk sampled. These fragments have not been shown to be enough to make anyone sick. The fact that we’re finding fragments and not intact viruses in store bought milk is a good indication that the various processes used for milk in most locations is doing the job it was intended to do.
And most important of all: This is the current state of evidence gathered on this topic, that state could change with various factors at play and/or the addition of new evidence. Because apparently for some people they have forgotten that “things change as time progresses”.
Roney Beal, 72, a Shamong, New Jersey resident
This person has literally nothing else to do but hammer this lawsuit until their untimely passing.
When Beal told them that she would call her lawyer, they told her to get out of the casino and to not return. The Beals were then escorted off of the property, Di Croce said.
But this person is literally 72, the casino could hypothetically just wait them out.
Di Croce hopes Bally’s wants to make this situation right with Beal. After suffering a heart attack last year, Beal turned to the casino for enjoyment.
I mean and there’s a good chance the lawyers just drag for as long as they can. Odds are favorable for the casino winning on things just sorting themselves out naturally here.
There is a legal way to do this:
New States may be admitted by the Congress into this Union; but no new State shall be formed or erected within the Jurisdiction of any other State; nor any State be formed by the Junction of two or more States, or Parts of States, without the Consent of the Legislatures of the States concerned as well as of the Congress
— Article IV, Section 3, Clause 1
Nebraska and South Dakota have a compact that’s been approved by Congress that has land swap between the states based on where the river is when particular assessments happen. So land leaving one state and going to another state isn’t unheard of. If you go look at NE and SD’s border in the southeast corner of SD, you’ll see the river and the border is pretty tight. Now compare that to states that have no such compact like Arkansas and Tennessee. River and the border are all kinds of messed up.
The thing is, both Idaho’s and Oregon’s State assembly will have to vote on it as you indicated. It’s not up to the citizens to dictate when a state’s border can be redrawn. Once Idaho and Oregon have a compact, they will need to send it to DC for Congress to vote on it. If it passes both the House and the Senate, the new compact can be enforced and the new borders drawn.
From what I’ve heard Oregon will not even begin to entertain this notion.
But yes, this is completely legal in the Constitution and we’ve done it before too. And we even have had the case where we took one state and split it into two happen before as well. Virginia and West Virginia. So we’ve used this part of the Constitution enough to know exactly how it needs to go down.
Is it going to go down? IDK. California said they were going to split up into 3, 4, 5 different States, not holding my breath on that one either. Would be pretty neat to redraw Idaho though. Never liked it’s weird long edge on the west side. Now it’ll look like someone giving the middle finger or something.
What’s wild is that one of the people who write anti-cheat software was saying they needed to get their shit working on Linux like yesterday.
So I mean, it crazy that Windows is literally having some folks scramble on how to get their shit working on Steam/Linux.
Yeah, I think that’s the bigger issue here. These devices pay their way by collecting data to sell off. What this “overhual” is indicating is that they haven’t quite figured out how to make these devices not only pay for themselves, but also, generate a net background profit for the company.
The only thing I’m reading from this story is that Amazon is just aiming for more dollar signs from Alexia. I’m going tell you in the day and age of Siri and Whatever Google’s thing is, this is going to backfire massively on Amazon. This will likely collapse whatever paltry Alexia that’s out there. And I have a good feeling they’ll look at this collapse as “well the technology just isn’t a good money maker.” No you idiots, it’s not a mass profit driver. I get how something not drawing double digit percentage gains is a mystery to you all, but just because you cannot buy your fifteenth yacht from it, doesn’t mean that the technology is a failure.
But it’s whatever, Amazon’s ship to wreck.
Quick things to note.
One, yes, some models were trained on CSAM. In AI you’ll have checkpoints in a model. As a model learns new things, you have a new checkpoint. SD1.5 was the base model used in this. SD1.5 itself was not trained on any CSAM, but people have giving additional training to SD1.5 to create new checkpoints that have CSAM baked in. Likely, this is what this person was using.
Two, yes, you can get something out of a model that was never in the model to begin with. It’s complicated, but a way to think about it is, a program draws raw pixels to the screen. Your GPU applies some math to smooth that out. That math adds additional information that the program never distinctly pushed to your screen.
Models have tensors which long story short, is a way to express an average way pixels should land to arrive at some object. This is why you see six fingered people in AI art. There wasn’t any six fingered person fed into the model, what you are seeing the averaging of weights pushing pixels between two different relationships for the word “hand”. That averaging is adding new information in the expression of an additional finger.
I won’t deep dive into the maths of it. But there’s ways to coax new ways to average weights to arrive at new outcomes. The training part is what tells the relationship between A and C to be B’. But if we wanted D’ as the outcome, we could retrain the model to have C and E averaging OR we could use things call LoRAs to change the low order ranking of B’ to D’. This doesn’t require us to retrain the model, we are just providing guidance on ways to average things that the model has already seen. Retraining on C and E to D’ is the part old models and checkpoints used to go and that requires a lot of images to retrain that. Taking the outcome B’ and putting a thumb on the scale to put it to D’ is an easier route, that just requires a generalized teaching of how to skew the weights and is much easier.
I know this is massively summarizing things and yeah I get it, it’s a bit hard to conceptualize how we can go from something like MSAA to generating CSAM. And yeah, I’m skipping over a lot of steps here. But at the end of the day, those tensors are just numbers that tell the program how to push pixels around given a word. You can maths those numbers to give results that the numbers weren’t originally arranged to do in the first place. AI models are not databases, they aren’t recalling pixel for pixel images they’ve seen before, they’re averaging out averages of averages.
I think this case will be slam dunk because highly likely this person’s model was an SD1.5 checkpoint that was trained on very bad things. But with the advent of being able to change how averages themselves and not the source tensors in the model work, you can teach new ways for a model to average weights to obtain results the model didn’t originally have, without any kind of source material to train the model. It’s like the difference between Spatial antialiasing and MSAA.
Okay for anyone who might be confused on how a model that’s not been trained on something can come up with something it wasn’t trained for, a rough example of this is antialiasing.
In the simplest of terms antialiasing looks at a vector over a particular grid, sees what percentage it is covering, and then applies that percentage to to shade the image and reduce the jaggies.
There’s no information to do this in the vector itself, it’s the math that is what is giving the extra information. We’re creating information from a source that did not originally have it. Now, yeah this is really simple approach and it might have you go “well technically we didn’t create any new information”.
At the end of the day, a tensor is a bunch of numbers that give weights to how pixels should arrange themselves on the canvas. We have weights that show us how to fall pixels to an adult. We have weights that show us how to fall pixels to children. We have weights that show us how to fall pixels to a nude adult. There’s ways to adapt the lower order ranking of weights to find new approximations. I mean, that’s literally what LoRAs do. I mean that’s literally their name, Low-Rank Adaptation. As you train on this new novel approach, you can wrap that into a textual inversion. That’s what that does, it allows an ontological approach to particular weights within a model.
Another way to think of this. Six finger people in AI art. I assure you that no model was fed six fingered subjects, so where do they come from? The answer is that the six finger person is a complex “averaging” of the tensors that make up the model’s weights. We’re getting new information where there originally was none.
We have to remember that these models ARE NOT databases. They are just multidimensional weights that tell pixels from a random seed where to go to in the next step in the diffusion process. If you text2image “hand” then there’s a set of weights that push pixels around to form the average value of a hand. What it settles into could be a four fingered hand, five fingers, or six fingers, depends on the seed and how hard the diffuser should follow the guidance scale for that particular prompt’s weight. But it’s distinctly not recalling pixel for pixel some image it has seen earlier. It just has a bunch of averages of where pixels should go if someone says hand.
You can generate something new from the average of complex tensors. You can put your thumb on the scale for some of those weights, give new maths to find new averages, and then when it’s getting close to the target you’re after use a textual inversion to give a label to this “new” average you’ve discovered in the weights.
Antialiasing doesn’t feel like new information is being added, but it is. That’s how we can take the actual pixels being pushed out by a program and turn it into a smooth line that the program did not distinctly produce. I get that it feels like a stretch to go from antialiasing to generating completely novel information. But it’s just numbers driving where pixels get moved to, it’s maths, there’s not really a lot of magic in these things. And given enough energy, anyone can push numbers to do things they weren’t supposed to do in the first place.
The way models that come from folks who need their models to be on the up and up is to ensure that particular averages don’t happen. Like say we want to avoid outcome B’, but you can average A and C to arrive at B’. Then what you need is to add a negative weight to the formula. This is basically training A and C to average to something like R’ that’s really far from the point that we want to avoid. But like any number, if we know the outcome is R’ for an average of A and C, we can add low rank weights that don’t require new layers within the model. We can just say, anything with R’ needs -P’ weight, now because of averages we could land on C’ but we could also land on A’ or B’ our target. We don’t need to recalculate the approximation of the weights that A and C give R’ within the model.
For instance, this includes minerals for battery and other components to produce EVs and wind turbines – such as iron, lithium, and zinc
I found nothing within the IEA’s announcement that indicates a shortage of those three elements. Iron is like the fourth most abundant thing on the planet.
In fact, this story literally reports this whole thing all wrong. It’s not that there’s a shortage, it’s that the demand for renewables is vastly larger than what we’re mining for. Which “duh” we knew this already. The thing this report does is quantify it.
That said, the “human rights abuses” isn’t the IEA report. That comes from the Business and Human Rights Resource Centre (BHRRC).
Specifically, the BHRRC has tracked these for seven key minerals: bauxite, cobalt, copper, lithium, manganese, nickel and zinc. Companies and countries need these for renewable energy technology, and electrification of transport.
These aren’t just limited to the renewable industry. Copper specifically, you’ve got a lot of it in your walls and in the device that you are reading this comment on. We have always had issues with copper and it’s whack-a-mole for solutions to this. I’m not dismissing BHRRC’s claim here, it’s completely valid, but it’s valid if we do or do not do renewables. Either way, we still have to tackle this problem. EVs or not.
Of course, some companies were particularly complicit. Notably, BHRRC found that ten companies were associated with more than 50% of all allegations tracked since 2010
And these are the usual suspects who routinely look the other way in human right’s abuses. China, Mexico, Canada, and Switzerland this is the list of folks who drive a lot of the human rights abuses, it’s how it has been for quite some time now. That’s not to be dismissive to the other folks out there (because I know everyone is just biting to blame the United States somehow) but these four are usually getting their hand smacked. Now to be fair, it’s really only China and Switzerland that usually does not care one way or the other. Canada and Mexico are just the folks the US convinced to take the fall for their particular appetite.
For example, Tanzania is extracting manganese and graphite. However, he pointed out that it is producing none of the higher-value green tech items like electric cars or batteries that need these minerals
Third Congo war incoming. But yeah, seriously, imperialism might have officially ended after World War II, but western nations routinely do this kind of economic fuckening, because “hey at least they get to self-govern”. It’s what first world nations tell themselves to sleep better for what they do.
Avan also highlighted the IEA’s advice that companies and countries should shift emphasis to mineral recycling to meet the growing demand.
This really should have happened yesterday. But if they would do something today, that would actually be proactive about the situation. Of course, many first world nations when they see a problem respond with “come back when it’s a catastrophe.”
OVERALL This article is attempting to highlight that recycling is a very doable thing if governments actually invested in the infrastructure to do so and that if we actually recycled things, we could literally save ⅓ the overall cost for renewables. It’s just long term economic sense to recycle. But of course, that’s not short term economic sense. And so with shortages to meet demand on the horizon, new production is going to be demanded and that will in turn cause human rights violations.
They really worded the whole thing oddly and used the word shortage, like we’re running out, when they meant shortage as in “we can’t keep up without new production”. They got the right idea here, I just maybe would have worded all of it a bit differently.
Oh look Nintendo doing more shitty things. Mild shock
“We literally lack the ability to hire programmers that can write a decent networking stack, but boy can we litigate.”
This issue is a bit more complex than just “hospitals shouldn’t be for profit”. Not to dismiss that’s a big driver here, but there’s a lot more going on.
Rural communities tend to have lower insurance coverage, that means for the people who do show up, their debt will eventually go into collections or be completely written off as a loss. Rural communities have vastly less access to better insurance and many just completely forgo insurance altogether.
Additionally, rural communities have a tendency to enter a death spiral between visits and costs. The number of people showing up at the hospital is low, but for the ones that do they show up with incredibly expensive conditions.
A lot of the financing and extended lines of revenue for rural hospitals is tied into the expanded Medicaid offerings under the Affordable Care Act (ACA). There’s clear demonstration that states that have opted to not expand Medicaid are the ones overwhelmingly facing hospital closures. States that have expanded still face issues, but states that have not are facing worse outcomes for rural hospitals.
Finally, costs for healthcare have steadily increased at rates that outpace pretty much every program out there. Pharmaceutical companies are ever shifting costs of materials and medication making long term planning difficult. These companies cite new regulation requiring a remixing of their costs of products. Basically, if some state mandates $30 insulin, that makes cancer treatment go up some, massive percentage. So a requirement to reduce cost to consumer in one area induces an increase in cost somewhere else.
And no just telling hospitals they can’t drive a profit won’t fix the issue. The doctors, insurance, coverage, politics over the ACA, the education of those doctors, the supply chain of the hospitals, and the production of medical supplies all have played a role in this. There’s just thousands of things that have to change or we’re going to see more of this.
The entire thing is predicated on a completely unsustainable economic model. This system we have is completely unsustainable. It was never sustainable, it’s just that the losses had to eventually add up enough to run the thing into the ground. And this isn’t limited to just Red States, it’s just that the Red States are the ones least prepared for this slowly building problem. This issue is coming for everywhere. There’s no hospital that’s going to survive this if we do not fundamentally change the system upon which our healthcare is built on.
There are just too many flaws to band-aid here. We have to have a massive overhaul of our system or people are literally going to die. The problem is, that we can’t tell who is going to be at the steering wheel to direct those changes. There has to be a shared vision between the two major political parties that can endure for decades to ensure that whatever new systems is made, is actually built. If the two parties that run our government can never agree, hang it up folks, we’re done here. I know some people are going to take that as an invite to bash the other party, but at the end of the day, we either all work together or we don’t.
We have to have some sort of change to our system like yesterday. It needs to be a massive change that take effect at ALL of the layers within the healthcare system. We cannot keep making minor incremental changes, it’s just plugging one hole in the dam only for another one to spring forth.
Because they sure as hell not getting it from any of the Republican leadership.
Crazy. The zombie apocalypse started from people wanting to become infected.
Yeah the US isn’t even close on the race for EVs with China. Heck, going price for LFP batteries is $70/kWh. The United States is still trying to figure out how to not have conflict cobalt in their batteries. China is just skipping all of that and using iron since we’ve got tons of that lying around. In fact, we’re on a giant ball of the stuff.
The United States is so laughably behind China on tons of technologies related to solar, storage, and EV motors. China is producing sodium ion powered cars with 60 mile ranges because of the various efficiencies in motor design. You can get a nice little around town car with that. They’re using fucking SALT to power cars. SALT! You know, the shit that’s in the ocean that we’ve got a bit of that also lying around. And the end cost to consumer is around $6,000 USD, that’s the fully tricked out model. The US can’t even produce a sub $12,000 car using fuel technology from the 1800s. And you can’t even use the human slave labor argument, because the US cannot get children into factories fast enough apparently.
There’s not a competition with China on EVs. There’s not an arms race with China. China won biggly. The tariffs are just trying to prevent US automakers being laughed out of the room. And the thing is, the cars are so damn cheap, even with the stupid tariffs, they’re cheaper than any US EV out there. That’s what is so stupid about all of this.
The US is trying to prevent those cars coming here and even the best sacking and jacking the price tag upwards they can do, and no US car is still price competitive. Not even close. That is how amazingly bad the US auto industry has gotten. There is no fight, everyone else won, and the US auto makers are just running on fumes like the coal industry, and greasing the wheels in DC to stay relevant.
And the reason it got so bad isn’t because pensions, or unions, or whatever they’d have you believe. It’s hardheadedness and inertia by car CEOs, oil execs, and policy makers. It’s what happens when you have decades of really bad decisions by a variety of people and the people who made those calls don’t want to admit it to themselves. They just didn’t want to believe that the oil cash was over. They thought all the automation would make them insanely rich and not actually owners of shit that would go out of date before their return on investment. They thought that keeping Congress would always keep them safe from international pressure. They were going to fight tooth and nail to keep that cash flowing in. They are dead set to sink this goddamn ship we are on before the admit they steered right towards the iceberg at full steam. And every second of hesitation, every moment of denial, every dollar to prevent the inevitable has cost the US auto industry massively.
I looked at that picture that they had up for that “100,000” headcount. All I know is that there’s a lot of people on Trump’s team and in Wildwood, NJ who are extremely bad at estimating headcount. That picture of the crowd at it’s largest is (being absolutely generous here) is roughly 20,000 tops. 100,000 people is a massive amount of people, like it is a lot of people. There are zero ways there’s 100,000 in that picture. When you hit 100,000 people, you know it, because it’s an ungodly amount of people.
Seinfeld has publicly supported Israel following the 7 October Hamas attack, and traveled to a kibbutz in December to meet with hostages’ families
In case you’re wondering what the argument is. You should still read the story though.
1 gacttgggta tctgaacctg ttacaagttt tgcatgccta ctcgaaaaga gagcactgca
61 cattttcaaa aaactcccct tgtcgtgcaa aaaatgccgc ctatacgcat acgccgtctc
121 aggctcgact ccgattccga cggagaagaa caagacccac tccaacccca atccgagcca
181 caaacccatt ttccggttga aatctccgac gacgaggact tcctcgacgt cctcgacagc
241 ctccctccgc cctctcccgc ctgtcctgtc accgacttcc tccgccgcct tggactgtca
301 cccaagagtg actggctcac ttcctgcctc cgcgaattcc agtcctccgt tccggccttt
361 gaacacctcg acgtcgccgc aaaagccaaa cgctgtttcg agcagtttct ctacgccgac
421 atgaatttct gcggaagtgg catactccct cccaacgtag acgccatgca ccttaacgtt
481 ctccccggtc cctatgtatt gcaggttgat gaaataatta atatgacttg tcctctacga
541 ggcagatatg aaaaggcaaa tcctggaatt aaaagatgtt tgaagttatc aatgactgat
601 ggcattcaaa gagtatttgg aatggagtat aggcccatcg aagctcttga agtttgtgcc
661 tcttctggtt taaaggttac tatctctaat gtacatgtgc gtcgtggact tcttatgctg
721 gtacctgaaa ccattgaaat attgggggga ttggttgagg agctggatgc tgcccgaaat
781 cgcctggttg gagaattaaa gaagccacct agacctaggg ggagaagaac tagaaacgga
841 gtgtttattc ctttagcgac tagagcaact cttgctgcgt ggcctccagg tggagttgat
901 gatcttgcac gcagtggctc cacgctgcac agtactgatc ctgtacagga aaacaatcaa
961 ggttctggcc cgagcatgtc tggcactggt aacagtaatt caatacccca catggcgtca
1021 aatgctgatg ctatgaacat ggatatgtct agagatacca attctgtttc ccgtggtagc
1081 tctatggcta accagctctc ttctgtcatg tcaaaggctg aggagatgca catagatgct
1141 tctaatgtca ccagggaata ttctgttgac catcagtctt ctaatatggt ttcaaatgtt
1201 tcagcagcat ataatgatac tgttcatata acaagagaaa gttctgtggc tactgagtgc
1261 cctcccgttg ttgaaagtgt tgagacatac agggatagaa ctccagtagc cacagatagt
1321 tctcatccac gaagaacctc ttccactgtt agggaatatt ctgttgacaa tcggttttct
1381 aacatggttt caaatgtttc agtggtgcat aatgacactg ttcatataac aagggaaagt
1441 tctgcaacta ctgagtgccc tcctgttgtt gaaaatgttg agacatacag agatagaact
1501 ccagcagcca ctgatagttc tcatccacga agagcctctt cctctgtttt aaacaccagc
1561 gatgtcgaga tgggtgatgc cagtgaccat ccactcatac tgtctggaga ccaagaggtc
1621 ccgttcacat acatggctag tttgtcagcc aagtgggcta aaatgaaaga ggaagctcct
1681 gcaattcggg gtaaaatcaa gtgctttttg actggtgtaa aaggattccg gtacaagaag
1741 aggacatcat atgagcttca ggcatatgta gacgatggta gccttatttc tgaaatcctc
1801 attgatcatg atgttgtaca gaaaggaatt ggtttttctc ctgaggaggt aactgcggcc
1861 atttcttctc ctgacacgaa aactgtccaa caaatgaggg atacaatgca taaatttcaa
1921 gcatttttag caaactttga gggaataatt cttgtggaat taaataaaaa atcttccctt
1981 ccacttgccc tagagatgag tcaaggctgt cctcaatctg atgcacggtt acttctgaga
2041 aggctgaagt ctcttaaccc tccacaagtt caaaaaccta cggatccaat tgaattatcc
If you will note ggatatgtct agagatacca you can see guy is genetically unable to feel shame.
I am so sorry this got so long. I’m absolutely horrible at brevity.
Applications use things called libraries to provide particular functions rather than implement those functions themselves. So like “handle HTTP request” as an example, you can just use a HTTP library to handle it for you so you can focus on developing your application.
As time progresses, libraries change and release new versions. Most of the time one version is compatible with the other. Sometimes, especially when there is a major version change, the two version are incompatible. If an application relied on that library and a major incompatible change was made, the application also needs to be changed for the new version of the library.
A Linux distro usually selects the version of each library that they are going to ship with their release and maintain it via updates. However, your distro provider and some neat program you might use are usually two different people. So the neat program you use might have change their application to be compatible with a library that might not make it into your distro until next release.
At that point you have one of two options. Wait until your distro provides the updated library or the go it alone route of you updating your own library (which libraries can depend on other libraries, which means you could be opening a whole Pandora’s box here). The go it alone route also means that you have to turn off your distro’s updates because they’ll just overwrite everything you’ve done library wise.
This is where snaps, flatpaks, and appimages come into play. In a very basic sense, they provide a means for a program to include all the libraries it’ll need to run, without those libraries conflicting with your current setup from the distro. You might hear them as “containerized programs”, however, they’re not exactly the Docker style “container”, but from an isolating perspective, that’s mostly correct. So your neat application that relies on the newest libraries, they can be put into a snap, flatpak, or appimage and you can run that program with those new libraries no need for your distro to provide them or for you to go it alone.
I won’t bore you on the technical difference between the formats, but just mostly focus on what I usually hear is the objectionable issue with snaps. Snaps is a format that is developed by Canonical. All of these formats have a means of distribution, that is how do you get the program to install and how it is updated. Because you know, getting regular updates of your program is still really important. With snaps, Canonical uses a cryptographic signature to indicate that the distribution of the program has come from their “Snaps Store”. And that’s the main issue folks have taken with snaps.
So unlike the other kinds of formats, snaps are only really useful when they are acquired from the Canonical Snaps Store. You can bypass the checking of the cryptographic signature via the command line, but Ubuntu will not automatically check for updates on software installed via that method, you must check for updates manually. In contrast, anyone can build and maintain their own flatpak “store” or central repository. Only Canonical can distribute snaps and provide all of the nice features of distribution like automatic updates.
So that’s the main gripe, there’s technical issues as well between the formats which I won’t get into. But the main high level argument is the conflicting ideas of “open and free to all” that is usually associated with the Linux group (and FOSS [Free and open-source software] in general) and the “only Canonical can distribute” that comes with snaps. So as @sederx indicated, if that’s not an argument that resonates with you, the debate is pretty moot.
There’s some user level difference like some snaps can run a bit slower than a native program, but Canonical has updated things with snaps to address some of that. Flatpak sandboxing can make it difficult to access files on your system, but flatpak permissions can be edited with things like Flatseal. Etc. It’s what I would file into the “papercut” box of problems. But for some, those papercuts matter and ultimately turn people off from the whole Linux thing. So there’s arguments that come from that as well, but that’s so universal “just different in how the papercut happens” that I just file that as a debate between container and native applications, rather a debate about formats.
Do you use autocomplete? AI in some of the various ways that’s being posited is just spicy autocomplete. You can run a pretty decent local AI on SSE2 instructions alone.
Now you don’t have to accept spicy-autocomplete just like you don’t have to accept plain jane-autocomplete. The choice is yours, Mozilla isn’t planning on spinning extra cycles in your CPU or GPU if you don’t want them spun.
But I distinctly remember the grumbles when Firefox brought local db ops into the browser to give it memory for forms. Lots of people didn’t like the notion of filling out a bank form or something and then that popping into a sqlite db.
So, your opinion, I don’t blame you. I don’t agree with your opinion, but I don’t blame you. Completely normal reaction. Don’t let folks tell you different. Just like we need the gas pedal for new things, we need the brake as well. I would hate to see you go and leave Firefox, BUT I would really hate you having to feel like something was forced upon you and you just had to grin and bear it.