I recently learned about the Wooting two HE, a keyboard with analog input. The interesting feature is something they call "rapid trigger", which defines the actuation point as when the key changes direction (up or down), rather than the key reaching a specific height.

I'm wondering how much faster this could let someone press or release a key. I tried searching online but I can't find anyone who has measured the average time for typists to reach the actuation point, or even the average velocity of a key-press.

Hello ~tech,

I have a Mi Power Bank 2C (PLM06ZM) and wish to upgrade it to able to charge or be charged with a 65W USB C port, with minimal damage, harm and according to USB C PD standards.

My chargers use 9V, 12V, 15V and 20V, the last one which my ThinkPad X280 uses.

Online searches for a 65W power bank enclosure without the batteries yield no suitable results, so I might need to use a PD Decoy board.

Are there any advice, links to guides and resources I could use to accomplish my objective?

Thank you.

I currently have a setup using Google Workspace, StableBit DrivePool, and Cloud Drive.

I recently received notification from Google stating that I will no longer be permitted to exceed their allotted storage limit of 5TB. However, I am currently utilizing over 50TB of storage.

In just one month, my service with Google will be transitioned to read-only mode. Considering my familiarity with DrivePool, I am concerned about the potential for drive corruption if I continue using the service until I find a suitable alternative.

I need help to determine if my drive would be at risk of getting corrupted during this transitional period?

I've been a computer scientist in the field of AI for almost 15 years. Much of my time has been devoted to classical AI; things like planning, reasoning, clustering, induction, logic, etc. This has included (but had rarely been my focus) machine learning tasks (lots of Case-Based Reasoning). For whatever reason though, the deep learning trend never really interested me until recently. It really just felt like they were claiming huge AI advancements when all they really found was an impressive way to store learned data (I know this is an understatement).

Over time my opinion on that has changed slightly, and I have been blown away with the boom that is happening with transformers (GPTs specifically) and large language models. Open source projects are creating models comparable to OpenAIs behemoths with far less training and parameters which is making me take another look into GPTs.

What I find surprising though is that they seem to have only experimented with language. As far as I understand the inputs/outputs, the language is tokenized into bytes before prediction anyway. Why does it seem like (or rather the community act like) the technology can only be used for LLMs?

For example, what about a planning domain? You can specify actions in a domain in such a manner that tokenization would be trivial, and have far fewer tokens then raw text. Similarly you could generate a near infinite amount of training data if you wanted via other planning algorithms or simulations. Is there some obvious flaw I'm not seeing? Other examples might include behavior and/or state prediction.

I'm not saying that out of the box a standard GPT architecture is a guaranteed success for plan learning/planning... But it seems like it should be viable and no one is trying?

As the title says, could someone explain the Fediverse or this whole concept of federated instances?

I looked at Mastodon a few months back and recently at Lemmy and read a few articles and I still don't quite get it. I joined a Lemmy instance but didn't see any content from other instances. (God this makes me feel old)

To me, a non techie (who is reasonably computer literate), the problem with all these federation based platforms is that they don't seem immediately intuitive to laypeople.

It also seems to have the problem of individual instances being quite parochial in that there seem to be a lot of niche instances but few that are necessarily generic for an international audience, or conversely instances that are too vague ('this is an instance for humans') whereas with something like Reddit you just sign up and post in subs just like vbulletin based forums and subforums back in the day. Tildes is essentially similar in principle.

Please feel free to tell me, if I'm an old man yelling at the Cloud.

Asking for a friend. 😉

In all seriousness, the question was inspired by the news out of Google and specifically @Whom's comment here.

What should non-technical laypeople know about AI?

The info doesn't have to be limited to just this particular news item either. What information would you want included in an AI 101 rundown? What is it currently used for? What will it do in the future? What are its limitations? What are its potentials?

And, of course, how should people interpret stuff like today's big news item?

A project I'm working on requires me to cover a bit of comedy targeting Lennart Poettering as it's tangentially related, and I'd like to have more context even though it's not strictly necessary. I'm a nontechnical Linux user who used the OS before systemd came around, but really the only impact on my life it's had is that I occasionally use systemctl to control services.

Though I wasn't paying as much attention to the community around the time major distributions switched, I've been casually exposed to criticism of it ever since I came back, and I'd like to make sense of it all and form an opinion beyond "I like Fedora and GNOME and it seems to go hand-in-hand with those". I've read The Biggest Myths, the Wikipedia article, some stuff on freedesktop.org, and of course absorbed the venom slung back and forth over systemd in every FOSS community, but it's hard to get a full picture. And a picture from 2022, for that matter, as a lot of this information comes from its early days. Help me out?

I thought about asking this over here but didn't want to potentially derail the thread.

As a lay user, I honestly don't know what Electron is and couldn't tell you whether or not a particular app/program uses it. However, hanging out in techy spaces has helped me understand that people have some very strong opinions on it, often viscerally negative ones.

Think of this like an r/ELI5 thread: what is Electron, and why is it so polarizing? Many companies seem to be choosing it, so it seems like there's some major benefit to it, but many well-informed people, including lots of people in software development, seem to absolutely hate it. What's going on there?

I don't know where to put this question, if here or in ~tech, but I chose here due to I want a response for someone who doesn't know all about internet.

So my question is: why there is a trend of removing the www of every web address? why it was standard in the first place and not now?

There are a handful of popular web pages that don't use a triple w in their link and they have replaced it or removed it. Tildes, for example, doesn't need triple w. Why?

I promise this is a genuine question and not a Windows hit piece.

Every Windows computer I've ever had has slowly gotten laggier over time until my impatience has forced me to reinstall the OS to get the speed boost that comes with a fresh copy. In the schools I've worked in, computer labs and carts full of Windows machines have slowly sunsetted, becoming wholly unusable over time. I think Chromebooks have taken over education in part because they have a snappiness to them that sticks around for a long time, unlike the decay demonstrated by Windows computers.

In my current job, I was issued a Windows computer and a Chromebook at the same time, when I was hired. The Chromebook is still chugging along just fine, but the once fresh and quick Windows computer is now ramping down. I know it's not because of startup or background programs latching on over time because I don't have admin rights and thus can't install anything! I'm not a power user either. I really only ever run a browser with minimal tabs, along with the very occasional instance of office software and/or PDF reader. That's it. And what used to be instant and quick is now like... trudging... through... sludge...

Is there some fundamental design flaw in Windows? Am I finding a pattern where none exists? Do I not have enough experience with other OSes to know that this is true for them too? I'd love someone's insight on this topic.

What started out as a little facetious in my own head leads me now to a serious question. Is there some meaningful reason why Google has to use a subsection of images for reCAPTCHA? I really dislike having to do this and at the very least would appreciate some variation.

• Traffic Lights
• Buses
• Bicycles
• Cars
• Crosswalks

Is there something special about these things in this context? Is the visual noise they're usually associated with what makes them good candidates? Are Google just really into urban planning? Who knows...I'm hoping some Tilder smarter than I can help me out.

I've been lamenting the death of the dumb TV for years now, but I'm finally in the market for a new set and trying to plan my next purchase carefully.

I've come to grips with the fact that any late-model TV I buy is going to feature some or all of the following:

• Internet connectivity
• Slow, janky menu screens with awful UIs
• Pre-installed apps (all of which I consider bloatware)
• Ads incorporated into the built-in menus or overlaid on my content
• Alexa / Google Home integration
• Automatic content recognition and/or other data collection techniques
• Microphones or cameras, purportedly for voice/gesture control

My goal is to take a stock smart TV and completely neuter all of the above, resulting in an otherwise fully functional dumb TV. All of my content will be delivered over HDMI from external devices.

As I understand it, basically all modern TVs are running one of five operating systems: Android TV, webOS, Tizen, Roku TV, or SmartCast. Not knowing anything about these platforms, where should I begin? Which are most susceptible to rooting? Are there any good custom ROMs I could install that would achieve what I'm looking for? Surely others have asked these same questions before me, but I can't find the answers online.

Yes, this is a companion post to my other home theater question earlier today.

Long story, but I've ended up becoming the admin of a group on Facebook (the previous admin stepped down in a rush, and added me as he left). And the group has an existing group chat associated with it.

Is it possible to "moderate" this group chat? Specifically, as an admin of the group, can I remove unsavoury/unwanted messages from the chat associated with the group? It looks like I can't.

Can even the creator of a group chat do this? If I close the group chat and create a new one, will I (as its creator) be able to remove unsavoury/unwanted messages from that new chat?

I've done some searching via Google, and I'm not finding anything to indicate that this is possible. If someone posts something unsavoury in a group chat, it looks like the only option is to remove the person from the chat - but the unsavoury messages can't be deleted.

Please tell me that's wrong!

It’s no secret that data science is a good career path. The jobs are in demand, the salaries are compelling, and the work is interesting. So how does someone break in?

In particular, I’m interested in how an experienced IT professional can move into data science. What advice would you give to someone with, say, five years of computing experience, who wants to break into the field? Tell me about the skills required, where you’d tell your friend to go to acquire them, and how to get a job without a specialized degree. What would make you say, “I want to hire this person, even if the individual lacks the relevant schooling”?

I've been wondering about this for a while whenever I'm on a metered connection or a capped one.

It'd be cool if I could use my vps to help save data in exchange for latency. Having it download and compress any compressible materials before serving them would be a godsend, but it sounds very edge case-y given how places like youtube deliver videos in bite size peices

Does something like this sound at all possible, or should I just assume it's too niché and look for other data saving ways?

It took a while for this to sink in, since the arrest of Huawei's Chief Financial Controller a few days ago, but...

How does the USA have jurisdiction over Huawei's alleged sales to Iran?

Huawei is a Chinese company, not an American company. Sure, the USA has imposed sanctions on trading with Iran - but surely those sanctions would apply only to American companies. How does the U.S. government have jurisdiction over what a Chinese company does?

Like millions of people, I have a router at home, with WiFi and admin passwords set up.

If an attacker request comes in, there are no port forwarding rules set, and the router should say "hey request from the internet, I don't know to which device you want to go, sorry I'll drop you then", and I'm secure. But I don't think it's that simple. If a packet from the outer network can attack my LAN without using port forwarding, how?

Which router settings should I be really looking for to make home LAN more secure? Or what are the keywords of network security to start with?

Google knows a lot about its users. Facebook knows a lot about its users. FitBit knows a lot about its users. And so on.

But what happens when these companies all sell their data sets to one another? It'd be pretty trivial to link even anonymized users from set to set by looking for specific features. If I went for a run, Google tracked my location, FitBit tracked my heart rate, and Facebook tracked my status about my new best mile time, for example. Thus, Google can narrow down who I am in the other sets using pre-existing information that coincides with theirs. With enough overlap they can figure out exactly who I am fairly easily. Furthermore, each additional layer of data makes this discovery process from new data sets even easier, as it gives more opportunities to confirm or rule out concurrent info. So then when, say, Credit Karma, Comcast, and Amazon's data enter the fray, my online identity stops looking like an individual egg in each different basket but a whole lot of eggs in all in one. And they can do this across millions/billions of users--not just me!

I don't know for certain that this is a thing that happens, but... I have to assume it definitely is happening, right? How could it not? With how valuable data is and how loose protections are, this seems like a logical and potentially very lucrative step.

Right now, is there an aggregate version of "me" that exists in a data store somewhere that is a more comprehensive and accurate picture than my own self-image? After all, my memory and perception are imperfect and biased, but data stores aren't.

It's hard to get a straight answer on this because there are allegations of shilling everywhere when it comes to VPNs (particularly when you discuss specific providers). There's also this post which gets linked pretty frequently and which seems to throw a wrench in the whole idea.

For context, I ask because I have two main concerns:

1. I have been the subject of a mild internet stalking/doxing, and I have no wish to relive that experience.
2. I live in the United States and, if I am understanding things correctly, my ISP now has the right to sell my browsing data without my consent.

I have no love for my ISP and am all about the idea of blocking them from gathering data about me, but it seems the only other option is to hand all of my data over to another company who simply promises not to do anything with it. While I'm sure some of them are legitimate, how can you tell the difference between a genuine privacy tool and a honeypot?

After trying windows 10 a few years ago and disabling all the marketing stuff and disabling other features that hinder performance, I've been curious why my only other real choice is linux, or reverting back to windows 7.