It is. I liked the film but they reworked some elements of it. I don’t think it does the book justice.
It is. I liked the film but they reworked some elements of it. I don’t think it does the book justice.
“Enjoys” is not how I would describe it.
This is from The Prestige by Christopher Priest in case any one wonders. It’s a good book!
I’m pretty sure it’s real. I met someone once who worked in materials research for food and they said that modelling was big there because the scope for experimentation is more limited. In materials for construction where they wanted to change a property they could play around with adding new additives and seeing what happens. For food though you can’t add anything beyond a limited set of chemicals that already have approval from the various agencies* and therefore they look at trying to fine tune in other ways.
So for chocolate, for example, they control lots of material properties by very careful control of temperature and pressure as it solidifies. This is why if chocolate melts and resolidifies you see the white bits of milk that don’t remain within the materia.
*Okay you can add a new chemical but that means a time frame of over a decade to then get approval. I think the number of chemicals that’s happened to is very very small and that’s partly because the innovation framework of capitalism is very short term.
Though worth saying that the link suggests the computing was used for aerodynamics for ensuring production wouldn’t destroy them not. For the shape as such. I’ve also seem it said that the can is part of that too.
It is quite hard to track down but here’s it being reported by the head of modelling at P&G in 2006
https://www.hpcwire.com/2006/05/05/high_performance_potato_chips/
I won’t rehash the arguments around “AI” that others are best placed to make.
My main issue is AI as a term is basically a marketing one to convince people that these tools do something they don’t and its causing real harm. Its redirecting resources and attention onto a very narrow subset of tools replacing other less intensive tools. There are significant impacts to these tools (during an existential crisis around our use and consumption of energy). There are some really good targeted uses of machine learning techniques but they are being drowned out by a hype train that is determined to make the general public think that we have or are near Data from Star Trek.
Addtionally, as others have said the current state of “AI” has a very anti FOSS ethos. With big firms using and misusing their monopolies to steal, borrow and coopt data that isn’t theirs to build something that contains that’s data but is their copyright. Some of this data is intensely personal and sensitive and the original intent behind the sharing is not for training a model which may in certain circumstances spit out that data verbatim.
Lastly, since you use the term Luddite. Its worth actually engaging with what that movement was about. Whilst its pitched now as generic anti-technology backlash in fact it was a movement of people who saw what the priorities and choices in the new technology meant for them: the people that didn’t own the technology and would get worse living and work conditions as a result. As it turned out they were almost exactly correct in thier predictions. They are indeed worth thinking about as allegory for the moment we find ourselves in. How do ordinary people want this technology to change our lives? Who do we want to control it? Given its implications for our climate needs can we afford to use it now, if so for what purposes?
Personally, I can’t wait for the hype train to pop (or maybe depart?) so we can get back to rational discussions about the best uses of machine learning (and computing in general) for the betterment of all rather than the enrichment of a few.
Ethernet over power devices are surprisingly good.
Not irrational to be concerned for a number of reasons. Even if local and secure AI image processing and LLMs add fairly significant processing costs to a simple task like this. It means higher requirements for the browser, higher energy use and therefore emissions (noting here that AI has blown Microsoft’s climate mitigation plan our of the water even with some accounting tricks).
Additionally, you have to think about the long term changes to behaviours this will generate. A handy tool for when people forget to produce proper accessible documents suddenly becomes the default way of making accessible documents. Consider two situations: a culture that promotes and enforces content providers to consider different types of consumer and how they will experience the content; they know that unless they spend the 1% extra time making it accessibile for all it will exclude certain people. Now compare that to a situation where AI is pitched as an easy way not to think about the peoples experiences: the AI will sort it. Those two situations imply very different outcomes: in one there is care and thought about difference and diversity and in another there isn’t. Disabled people are an after thought. Within those two different scenarios there’s also massively different energy and emissions requirements because its making every user perform AI to get some alt text rather than generate it at source.
Finally, it worth explaining about Alt texts a bit and how people use them because its not just text descriptions of an image (which AI could indeed likely produce). Alt texts should be used to summarise the salient aspects of the image the author wants a reader to take away for it in a conscise way and sometimes that message might be slightly different for Alt Text users. AI can’t do this because it should be about the message the content creator wants to send and ensuring it’s accessible. As ever with these tech fixes for accessibility the lived experience of people with those needs isn’t actually present. Its an assumed need rather than what they are asking for.
I was experiencing with both X11 and Wayland. I’ll give 555 a test. Thanks!
Were you having any kernel panics before this beta?
I was having this issue https://forums.developer.nvidia.com/t/series-550-freezes-laptop/284772/163 I disabled the GPU for the time being and was hoping the new driver would fix.
Me too. Noticeable Delay around 6s.
I’d be keen to know your (or others) experience of biking and driving in those conditions because in my experience cars aren’t well suited to those temperatures either. I don’t have direct experience of biking in that low but I know people who do and they swear by it.
Of course you could throw fuel at it and keep your car running all the time to stop it from freezing. 😷
https://www.rbth.com/lifestyle/329955-russia-cars-extreme-frosts
Anyway as others have said no one is actually saying cycling is the solution for all extreme use cases that’s a strawman.
This makes sense in principle but none the less I still feel my self struggling to quickly see the difference between to points on these plots.
Right this is the thing I cant ever seems to quickly get.
They are common and yet I still really struggle to quickly understand what any points but the three extremes mean. I’m not sure there’s an alternative though.
Its a great idea. I think it would be challenging to implement and would need quite a lot of domain expertise to really unpick. Need to have enough teeth to be able to assess whether level of action and emission mitigation is: above and beyond; in line with paris agreement needs; below needed but active work due to constraints; actively harmful company . E.g. some companies might be intrinsically high emitting because of their sector (e.g. steel manufacture) but doing all they can to decarbonise whilst some might instead be “decarbonising” largely through accounting tricks like offsets and others still just bankrolling delay and denial. Assessing what a Paris Agreement compliant pathways for sub- and multi-national organisations is actually really tricky. Similarly tricky to assess what “as fast as possible” really is for the same organisations.
For finance sector I know this: https://bank.green which might help some.
Very cool!
I would add just a few points I think are relevant for the discussion. I think some buildings and areas might need to be actively targets for removal on the basis on a spatial plan that builds in “space for nature” by which I mean letting the land return as much as possible to some form of wilderness. We are sadly quite far down the process of completely shaping the land and its not clear that we will be able to get back but I suspect a serious and sustained attempt will be needed.
On the transport of the materials: nothing wrong with your choice of road vehicles salvaged and converted to a different fuel source but it’s also worth considering another solarpunk option. Building before the availability of combustion engines often used temporary, lightweight narrow gauge railways were laid for the duration of construction. This was also used during WW1 for logistics. Once finished the track can be moved onto the next area. I suspect the narrow gauge would limit the speed and weight of any uses but for this purpose I suspect that doesn’t strongly matter. I can’t find a good source on the internet about this that’s but I vagually recall a Tom Scott video which mentioned off hand that a monorail which is now a tourist attraction actually began life as a temporary railway for construction freight. Rail also could be used in conjunction with human power (a hand car) for workers to commute.
Keep up the good work!
Took me a while to dig out my copy but very much not. The next sections of the diary are: