Framework's Laptop 12 Could Inject New Life Into Budget Portable PCs
Budget Windows laptops still suck. Framework's upcoming repairable and upgradeable machine could change the game.
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When Framework's repairable and upgradeable Laptop 13 came out a few years ago, it was exactly the disruption we needed in the portable computing space. Here was a laptop that let you customize its guts when ordering, and then you could upgrade or repair various components in the future as needed. It was expensive, but you wouldn't have to shell out a wad of cash for a new laptop every five years just because you don't have enough RAM.
The company is back to do it again. Earlier this week, Framework announced the Laptop 12 alongside a new desktop PC. The Laptop 12 is a budget laptop that doesn't look awful, is fully modular, and doesn't skimp on the performance and display. If it sounds too good to be true, you're not alone. We don't know the price yet, which is incredibly important. But keeping it a 'budget' laptop is Framework's stated goal.
'We build products to fix what we see as a broken industry, and few categories are as emblematic of the problems with consumer electronics as entry-level laptops,' says Framework CEO Nirav Patel on the company's blog. Whether or not Framework has the antidote, Patel is right about the diagnosis. Shopping for a cheap Windows laptop today will leave you depressed about the state of the industry. They're often underpowered and slow, not to mention quite ugly too. Chromebook Killer
The Framework Laptop 12 has a small 12.2-inch screen, hence the name. But it's a convertible 2-in-1 laptop, meaning it has a 360-degree hinge that lets you flip the screen around to use it as a tablet. With that comes a touchscreen and optional stylus—a first for Framework.
We're still missing several details to complete the picture, like the laptop's thickness and weight—those details will arrive when preorders open up in April—but photos of the machine show a stylish PC that looks better than any budget laptop I've ever seen. The five new bold color options don't hurt either.
It has some very thick bezels around the display though, something you won't find outside the budget Chromebook world these days. The Laptop 12 makes up for it by ensuring the display is better than what you'd typically find on a budget laptop. It has a 1920 X 1200-pixel resolution and up to 400 nits of brightness (the MacBook Air tops out at 500 nits).
Framework's key selling point once again is modularity. Unlike Chromebooks—and virtually all Windows laptops—the Framework Laptop 12 is fully modular, just like its bigger siblings. The Mainboard system is still in place, allowing you to easily swap out the CPU (and attached motherboard) for something more up-to-date years down the line. It's so easy that an IT administrator could upgrade a boat-load of these PCs in just a few hours.
Everything else is removable too, including storage, memory, the Wi-Fi card, the keyboard, the battery, and more. As revealed by one of its investors, the keyboard and RAM are easier to replace this time around—Framework itself claims that the Laptop 12 is its 'easiest product ever to repair.' At the very least, you no longer have to remove the flat ribbon cable connected to the keyboard, which was the more fragile component of the repair process in previous iterations.
Modularity and repairability will be what drives these machines into the hands of educators and IT managers. A fleet of these babies could last many, many more years than some old, chunky Chromebooks—and probably make the students and faculty more happy with an up-to-date machine. Framework even admits that students are its target audience here, using 'overmolded shock-absorbing' materials over the plastic and metal structure to make it durable.
Modular ports have become Framework's calling card, and the Framework Laptop 12 has four, not counting the headphone jack. Having the flexibility to choose what ports you get is fantastic, and in this model, those ports can be locked in place from the inside.
Pricing remains the biggest point of contention. After all, we live in a time when you can buy an M1 MacBook Air for $629. While Apple's machine is more than four years old, its performance and battery life will likely still run circles around the 13th-gen Core i3 Intel processor employed by the Framework Laptop 12. You can even buy a previous-gen Asus Zenbook OLED 14 for just $550.
Neither the MacBook nor the Zenbook have the modular features of the Framework Laptop 12. If the company nails the right price for this machine, it could be a fresh start for budget laptops, and it could mean sending less e-waste to the landfill.
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And we've always thought about it as system that has the ability to exhibit, sort of all the cognitive capabilities we have as humans. And the reason that's important, the reference to the human mind, is the human mind is the only existence proof we have. Maybe in the universe, the general intelligence is possible. So if you want to claim sort of general intelligence, AGI, then you need to show that it generalizes to all these domains. - Is when everything's filled in, all the check marks are filled in, then we have it- - Yes, so I think there are missing capabilities right now. You know, that all of us who have used the latest sort of LLMs and chatbots, will know very well, like on reasoning, on planning, on memory. I don't think today's systems can invent, you know, do true invention, you know, true creativity, hypothesize new scientific theories. They're extremely useful, they're impressive, but they have holes. And actually, one of the main reasons I don't think we are at AGI yet is because of the consistency of responses. You know, in some domains, we have systems that can do International Math Olympiad, math problems to gold medal standard- - Sure. - With our AlphaFold system. But on the other hand, these systems sometimes still trip up on high school maths or even counting the number of letters in a word. - Yeah. - So that to me is not what you would expect. That level of sort of difference in performance across the board is not consistent enough, and therefore shows that these systems are not fully generalizing yet. - But when we get it, is it then like a phase shift that, you know, then all of a sudden things are different, all the check marks are checked? - Yeah. - You know, and we have a thing that can do everything. - Mm-hmm. - Are we then power in a new world? - I think, you know, that again, that is debated, and it's not clear to me whether it's gonna be more of a kind of incremental transition versus a step function. My guess is, it looks like it's gonna be more of an incremental shift. Even if you had a system like that, the physical world, still operates with the physical laws, you know, factories, robots, these other things. So it'll take a while for the effects of that, you know, this sort of digital intelligence, if you like, to really impact, I think, a lot of the real world things. Maybe another decade plus, but there's other theories on that too, where it could come faster. - Yeah, Eric Schmidt, who I think used to work at Google, has said that, "It's almost like a binary thing." He says, "If China, for instance, gets AGI, then we're cooked." Because if someone gets it like 10 minutes, before the next guy, then you can never catch up. You know, because then it'll maintain bigger, bigger leads there. You don't buy that, I guess. - I think it's an unknown. It's one of the many unknowns, which is that, you know, that's sometimes called the hard takeoff scenario, where the idea there is that these AGI systems, they're able to self-improve, maybe code themselves future versus themselves, that maybe they're extremely fast at doing that. So what would be a slight lead, let's say, you know, a few days, could suddenly become a chasm if that was true. But there are many other ways it could go too, where it's more incremental. 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There's commercial imperative- - [Steven] Right. - There's national imperative, and there's a safety aspect to worry about who's in the lead and where those projects are. - A few years ago, the companies were saying, "Please, regulate us. We need regulation." - Mm-hmm, mm-hmm. - And now, in the US at least, the current administration seems less interested in putting regulations on AI than accelerating it so we can beat the Chinese. Are you still asking for regulation? Do you think that that's a miss on our part? - I think, you know, and I've been consistent in this, I think there are these other geopolitical sort of overlays that have to be taken into account, and the world's a very different place to how it was five years ago in many dimensions. But there's also, you know, I think the idea of smart regulation that makes sense around these increasingly powerful systems, I think is gonna be important. I continue to believe that. 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You know, we're competing, that we really have to stop, or you can't get involved in that?" - I think a lot of the leaders of the main labs, at least the western labs, you know, there's a small number of them and we do all know each other and talk to each other regularly. And a lot of the lead researchers do. The problem is, is that it's not clear we have the right definitions to agree when that point is. Like, today's systems, although they're impressive as we discussed earlier, they're also very flawed. And I don't think today's systems, are posing any sort of existential risk. - Mm-hmm. - So it's still theoretical, but the problem is that a lot of unknowns, we don't know how fast those will come, and we don't know how risky they will be. But in my view, when there are so many unknowns, then I'm optimistic we'll overcome them. At least technically, I think the geopolitical questions could be actually, end up being trickier, given enough time and enough care and thoughtfulness, you know, sort of using the scientific method as we approach this AGI point. - That makes perfect sense. But on the other hand, if that timeframe is there, we just don't have much time, you know? - No, we don't. We don't have much time. I mean, we're increasingly putting resources into security and things like cyber, and also research into controllability and understanding of these systems, sometimes called mechanistic interpretability. You know, there's a lot of different sub-branches of AI. - Yeah, that's right. I wanna get to interpretability. - Yeah, that are being invested in, and I think even more needs to happen. And then at the same time, we need to also have societal debates more about institutional building. How do we want governance to work? How are we gonna get international agreement, at least on some basic principles, around how these systems are used and deployed and also built? - What about the effect on work on the marketplace? - Yeah. - You know, how much do you feel that AI is going to change people's jobs, you know, the way jobs are distributed in the workforce? - I don't think we've seen, my view is if you talk to economists, they feel like there's not much has changed yet. You know, people are finding these tools useful, certainly in certain domains- - [Steven] Yeah. - Like, things like AlphaFold, many, many scientists are using it to accelerate their work. So it seems to be additive at the moment. We'll see what happens over the next five, 10 years. I think there's gonna be a lot of change with the jobs world, but I think as in the past, what generally tends to happen is new jobs are created that are actually better, that utilize these tools or new technologies, what happened with the internet, what happened with mobile? We'll see if it's different this time. - Yeah. - Obviously everyone always thinks this new one, will be different. And it may be, it will be, but I think for the next few years, it's most likely to be, you know, we'll have these incredible tools that supercharge our productivity, make us really useful for creative tools, and actually almost make us a little bit superhuman in some ways in what we're able to produce individually. So I think there's gonna be a kind of golden era, over the next period of what we're able to do. - Well, if AGI can do everything humans can do, then it would seem that they could do the new jobs too. - That's the next question about like, what AGI brings. 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But right now, you know, if you think of the next five, 10 years as being, the most productive people might be 10X more productive if they are native with these tools. So I think kids today, students today, my encouragement would be immerse yourself in these new systems, understand them. So I think it's still important to study STEM and programming and other things, so that you understand how they're built, maybe you can modify them yourself on top of the models that are available. There's lots of great open source models and so on. And then become, you know, incredible at things like fine-tuning, system prompting, you know, system instructions, all of these additional things that anyone can do. And really know how to get the most out of those tools, and do it for your research work, programming, and things that you are doing on your course. And then come out of that being incredible at utilizing those new tools for whatever it is you're going to do. - Let's look a little beyond the five and 10-year range. Tell me what you envision when you look at our future in 20 years, in 30 years, if this comes about, what's the world like when AGI is everywhere? - Well, if everything goes well, then we should be in an era of what I like to call sort of radical abundance. So, you know, AGI solves some of these key, what I sometimes call root node problems in the world facing society. So a good one, examples would be curing diseases, much healthier, longer lifespans, finding new energy sources, you know, whether that's optimal batteries and better room temperature, superconductors, fusion. And then if that all happens, then we know it should be a kind of era of maximum human flourishing where we travel to the stars and colonize the galaxy. You know, I think the beginning of that will happen in the next 20, 30 years if the next period goes well. - I'm a little skeptical of that. I think we have an unbelievable abundance now, but we don't distribute it, you know, fairly. - Yeah. - I think that we kind of know how to fix climate change, right? We don't need a AGI to tell us how to do it, yet we're not doing it. - I agree with that. I think we being as a species, a society not good at collaborating, and I think climate is a good example. But I think we are still operating, humans are still operating in a zero-sum game mentality. Because actually, the earth is quite finite, relative to the amount of people there are now in our cities. And I mean, this is why our natural habitats, are being destroyed, and it's affecting wildlife and the climate and everything. - [Steven] Yeah. - And it's also partly 'cause people are not willing to accept, we do now to figure out climate. But it would require people to make sacrifices. - Yeah. - And people don't want to. But this radical abundance would be different. We would be in a finally, like, it would feel like a non-zero-sum game. - How will we get [indistinct] to that? Like, you talk about diseases- - Well, I gave you an example. - We have vaccines, and now some people think we shouldn't use it. - Let me give you a very simple example. - Sure. - Water access. This is gonna be a huge issue in the next 10, 20 years. It's already an issue. Countries in different, you know, poorer parts of the world, dryer parts of the world, also obviously compounded by climate change. - [Steven] Yeah. - We have a solution to water access. It's desalination, it's easy. There's plenty of sea water. - Yeah. - Almost all countries have a coastline. But the problem is, it's salty water, but desalination only very rich countries. Some countries do do that, use desalination as a solution to their fresh water problem, but it costs a lot of energy. - Mm-hmm. - But if energy was essentially zero, there was renewable free clean energy, right? Like fusion, suddenly, you solve the water access problem. Water is, who controls a river or what you do with that does not, it becomes much less important than it is today. I think things like water access, you know, if you run forward 20 years, and there isn't a solution like that, could lead to all sorts of conflicts, probably that's the way it's trending- - Mm-hmm, right. - Especially if you include further climate change. - So- - And there's many, many examples like that. You could create rocket fuel easily- - Mm-hmm. - Because you just separate that from seawater, hydrogen and oxygen. It's just energy again. - So you feel that these problems get solved by AGI, by AI, then we're going to, our outlook will change, and we will be- - That's what I hope. Yes, that's what I hope. But that's still a secondary part. So the AGI will give us the radical abundance capability, technically, like the water access. - Yeah. - I then hope, and this is where I think we need some great philosophers or social scientists to be involved. That should hopefully shift our mindset as a society to non-zero-sum. You know, there's still the issue of do you divide even the radical abundance fairly, right? Of course, that's what should happen. But I think there's much more likely, once people start feeling and understanding that there is this almost limitless supply of raw materials and energy and things like that. - Do you think that driving this innovation by profit-making companies is the right way to go? We're most likely to reach that optimistic high point through that? - I think it's the current capitalism or, you know, is the current or the western sort of democratic kind of systems, have so far been proven to be sort of the best drivers of progress. - Mm-hmm. - So I think that's true. My view is that once you get to that sort of stage of radical abundance and post-AGI, I think economics starts changing, even the notion of value and money. And so again, I think we need, I'm not sure why economists are not working harder on this if maybe they don't believe it's that close, right? But if they really did that, like the AGI scientists do, then I think there's a lot of economic new economic theory that's required. - You know, one final thing, I actually agree with you that this is so significant and is gonna have a huge impact. But when I write about it, I always get a lot of response from people who are really angry already about artificial intelligence and what's happening. Have you tasted that? Have you gotten that pushback and anger by a lot of people? It's almost like the industrial revolution people- - Yeah. - Fighting back. - I mean, I think that anytime there's, I haven't personally seen a lot of that, but obviously, I've read and heard a lot about, and it's very understandable. That's all that's happened many times. As you say, industrial revolution, when there's big change, a big revolution. - [Steven] Yeah. - And I think this will be at least as big as the industrial revolution, probably a lot bigger. That's surprising, there's unknowns, it's scary, things will change. But on the other hand, when I talk to people about the passion, the why I'm building AI- - Mm-hmm. - Which is to advance science and medicine- - Right. - And understanding of the world around us. And then I explain to people, you know, and I've demonstrated, it's not just talk. Here's AlphaFold, you know, Nobel Prize winning breakthrough, can help with medicine and drug discovery. Obviously, we're doing this with isomorphic now to extend it into drug discovery, and we can cure terrible diseases that might be afflicting your family. Suddenly, people are like, "Well, of course, we need that." - Right. - It'll be immoral not to have that if that's within our grasp. And the same with climate and energy. - Yeah. - You know, many of the big societal problems, it's not like you know, we know, we've talked about, there's many big challenges facing society today. And I often say I would be very worried about our future if I didn't know something as revolutionary as AI was coming down the line to help with those other challenges. Of course, it's also a challenge itself, right? But at least, it's one of these challenges that can actually help with the others if we get it right. - Well, I hope your optimism holds out and is justified. Thank you so much. - And I'll do my best. Thank you. [upbeat music]
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