My guess was that they knew gaming was niche and were willing to invest less in this headset and more in spreading the widespread idea that “Spatial Computing” is the next paradigm for work.

I VR a decent amount, and I really do like it a lot for watching TV and YouTube, and am toying with using it a bit for work-from-home where the shift in environment is surprisingly helpful.

It’s just limited. Streaming apps aren’t very good, there’s no great source for 3D movies (which are great, when Bigscreen had them anyways), they’re still a bit too hot and heavy for long-term use, the game library isn’t very broad and there haven’t been many killer app games/products that distinct it from other modalities, and it’s going to need a critical amount of adoption to get used in remote meetings.

I really do think it’s huge for given a sense of remote presence, and I’d love to research how VR presence affects remote collaboration, but there are so many factors keeping it tough to buy into.

They did try, though, and I think they’re on the right track. Facial capture for remote presence and hybrid meetings, extending the monitors to give more privacy and flexibility to laptops, strong AR to reduce the need to take the headset off - but they’re first selling the idea, and then maybe there will be a break. I’ll admit the industry is moving much slower than I’d anticipated back in 2012 when I was starting VR research.

I really want to see if worker owned cooperatives plus AI could do help democratize running companies (where appropriate). Not just LLMs, but a mix of techniques for different purposes (e.g., hierarchial task networks to help with operations and pipelining, LLM for assembling/disseminating information to workers).

Lots of immediate hate for AI, but I’m all for local AI if they keep that direction. Small models are getting really impressive, and if they have smaller, fine-tuned, specific-purpose AI over the “general purpose” LLMs, they’d be much more efficient at their jobs. I’ve been rocking local LLMs for a while and they’ve been great as a small compliment to language processing tasks in my coding.

Good text-to-speech, page summarization, contextual content blocking, translation, bias/sentiment detection, click bait detection, article re-titling, I’m sure there’s many great use cases. And purely speculation,but many traditional non-llm techniques might be able to included here that were overlooked because nobody cared about AI features, that could be super lightweight and still helpful.

If it goes fully remote AI, it loses a lot of privacy cred, and positions itself really similarly to where everyone else is. From a financial perspective, bandwagoning on AI in the browser but “we won’t send your data anywhere” seems like a trendy, but potentially helpful and effective way to bring in a demographic interested in it without sacrificing principles.

But there’s a lot of speculation in this comment. Mozilla’s done a lot for FOSS, and I get they need monetization outside of Google, but hopefully it doesn’t lead things astray too hard.

I get both sides of the argument here. I think we need to have this big reaction because companies have held so much power over employees for so long - I’ll avoid ranting about worker-owned cooperatives here - but the past few years I’ve surprised myself by moving into a bit of a “slippery slope” camp with these things. Not to say it shouldn’t happen, but that we need to be prepared for the follow-up.

Hopefully related example, in education: There were some really big push backs recently where I am over bad treatment of the students in highschool, all legit. The school board ignored it for a long time, it got bad, they finally took it seriously. Then they overcorrected and stopped believing teachers at all and started jumping straight to firing at almost any complaint. Then students started weaponizing complaints, and now teachers are getting fired for trying to enforce deadlines and for giving low marks because students are complaining about how deadlines, grades, and meeting grading requirements are detrimental to mental health and well-being, and now there are a bunch of these students from this board in my university classes failing hard and filing complaints about courses being too difficult and other things despite them having glowing reviews just a few years prior.

I guess what I’m getting at: I think it’s fair for someone to choose not to hire people like this because it’s possible that the people willing to stand up and make an important fuss over these things might not know where the line stands between a worthwhile complaint and a non-worthwhile one, and might make a company look badexternally even though it’s doing good internally, just not to someone new to the workforce’s expectations.

I also think it’s fair to go the opposite direction, because ultimately we need major change in the way companies/everything are structured that lead to these nasty layoffs and poor conditions and if someone does raise issues where there aren’t, hopefully we are prepared enough and in the right enough to take it seriously, but weather it and act in everyone’s best interests.

Yeah, this is the approach people are trying to take more now, the problem is generally amount of that data needed and verifying it’s high quality in the first place, but these systems are positive feedback loops both in training and in use. If you train on higher quality code, it will write higher quality code, but be less able to handle edge cases or potentially complete code in a salient way that wasn’t at the same quality bar or style as the training code.

On the use side, if you provide higher quality code as input when prompting, it is more likely to predict higher quality code because it’s continuing what was written. Using standard approaches, documenting, just generally following good practice with code before sending it to the LLM will majorly improve results.

Yeah, I knew freelance folks who provided long term support with such complicated setups. The base daily rate plus hourly with a monthly retainer and weekly on call fees. Wild.

Or, hourly = extremely high paid contract work.

When I teach story points (not in an official Agile Scrum capacity, just as part of a larger course) I emphasize that the points are for conversation and consensus more than actual estimates.

Saying this story is bigger than that one, and why, and seeing people in something like planning poker give drastically differing estimates is a great way to signal that people don’t really get the story or some major area wasn’t considered. It’s a great discussion tool. Then it also gives a really rough ballpark to help the PO reprioritize the next two sprints before planning, but I don’t think they should ever be taken too seriously (or else you probably wasted a ton of time trying to be accurate on something you’re not going to be accurate on).

Students usually start by using task-hours as their metric, and naturally get pretty granular with tasks. This is for smaller projects - in larger ones, amortizing to just number of tasks is effectively the same as long as it’s not chewing away way more time in planning.

I know this post and comment might sound shilly but switching to more expensive microfibre underwear actually made a big impact on my life and motivated me to start buying better fitting and better material clothes.

I’d always bought cheap and thought anything else was silly. I was wrong. So much more comfortable, I haven’t had a single pair even begin to wear down a little bit, less sweating and feel cleaner, fit better, and haven’t been scrunchy or uncomfortable once compared to the daily issues of that cheap FotL life. This led to more expensive and longer lasting socks with textures I like better, better fitting shoes that survive more than one season.

It was spawned by some severe weight loss and a need to restock my wardrobe. My old underwear stuck around as backups to tell me I needed to do laundry, but going back to the old ones was bad enough that I stopped postponing laundry.

Basically, I really didn’t appreciate how much I absolutely hated so many textures I was constantly in contact with until I tried alternative underwear and realized you don’t have to just deal with that all the time.

Not the OP, but in Canada at least, I think you would legally be expected to because common law is (as far as I’m aware) very nearly marriage and is entirely implied by time living together in a conjugal relationship. It might be provincial to determine the actual property laws, though.

I don’t have a firm opinion here, but I think the key difference in your case is that a conjugal relationship has some expectation of… Oh I don’t know, mutuality? A landlord tenant relationship is a lease agreement. If your roommate didn’t sign any kind of lease agreement, they might have a legal case to just not pay you and suffer no consequences (I don’t know), but they’re not in a conjugal relationship, so there’s also no implication of shared ownership.

Without signing lease agreement and being in a conjugal relationship, I think there is a pretty fair case that expecting shared ownership is a fair assumption.

That all said, it’s also really up to the individuals to figure that out early, and the deception in the meme suggests that the agency to have that discussion wasn’t available, and that’s really the part I find problematic here.

That and expropriation/eminent domain, etc. Even if you pay your taxes, if the government needs it, they have processes to take it.

I’m not saying it’s an inherently bad thing, but it’s another one of those important things to realize is already present if anyone wants to argue for/against certain government reforms.

Getting really speculative, but maybe Infinite Scrolling and similar UX design patterns. I think we learned it was dangerous pretty early in, but I have a feeling there isn’t currently a widespread understanding of just how badly things like infinite scrolling shortcircuit parts of the brain and cause issues with attention and time regulation in large populations.

If I was more researched on it, I might include infinite short-form content feeds of almost any type to be honest, which may just be another way of saying social media.

Conversely, if smart watches with accurate health monitoring become cheap and commonplace it might drastically improve health outcomes by motivating people to see doctor’s when needed for subtle heart issues that would otherwise go unchecked.

“Where did you learn this skill?” “The olde rules prevent me from discussing this further.”

Foul Bachelorette Frog caused some real uncomfortable and eye opening ruckus for a lot of folks.

My bones are tingling.

In Canada, we play this game where we complain that all employees (aside from “contract workers” in gig work) make minimum wage and don’t live off of tips like our American counterparts, then someone complains that minimum wage still isn’t livable so tips are still important, then someone retorts that this only means everyone in minimum wage needs tipping or nobody needs tipping, which usually ends up in a lot of poop being slinged around until you get guilted into tipping before receiving any service.