You found one video supporting your viewpoint. Kaspersky's role in Russian intelligence has been an open secret since the mid 2010s. This is Facebook Anti-Vaxxer "research" methodology.
Kata1yst
joined 1 year ago
Quora is a lawless and godless place.
Quora is trash, but this thread has a breakdown of many of Lucas' "inspirations", which show he was always happy to directly copy other's art. Most of it is hilariously blatant.
https://www.quora.com/Is-it-true-that-Star-Wars-copied-an-old-French-comic
Author doesn't seem to understand that executives everywhere are full of bullshit and marketing and journalism everywhere is perversely incentivized to inflate claims.
But that doesn't mean the technology behind that executive, marketing, and journalism isn't game changing.
Full disclosure, I'm both well informed and undoubtedly biased as someone in the industry, but I'll share my perspective. Also, I'll use AI here the way the author does, to represent the cutting edge of Machine Learning, Generative Self-Reenforcement Learning Algorithms, and Large Language Models. Yes, AI is a marketing catch-all. But most people better understand what "AI" means, so I'll use it.
AI is capable of revolutionizing important niches in nearly every industry. This isn't really in question. There have been dozens of scientific papers and case studies proving this in healthcare, fraud prevention, physics, mathematics, and many many more.
The problem right now is one of transparency, maturity, and economics.
The biggest companies are either notoriously tight-lipped about anything they think might give them a market advantage, or notoriously slow to adopt new technologies. We know AI has been deeply integrated in the Google Search stack and in other core lines of business, for example. But with pressure to resell this AI investment to their customers via the Gemini offering, we're very unlikely to see them publicly examine ROI anytime soon. The same story is playing out at nearly every company with the technical chops and cash to invest.
As far as maturity, AI is growing by astronomical leaps each year, as mathematicians and computer scientists discover better ways to do even the simplest steps in an AI. Hell, the groundbreaking papers that are literally the cornerstone of every single commercial AI right now are "Attention is All You Need" (2017) and
"Retrieval-Augmented Generation for Knowledge -Intensive NLP Tasks" (2020). Moving from a scientific paper to production generally takes more than a decade in most industries. The fact that we're publishing new techniques today and pushing to prod a scant few months later should give you an idea of the breakneck speed the industry is going at right now.
And finally, economically, building, training, and running a new AI oriented towards either specific or general tasks is horrendously expensive. One of the biggest breakthroughs we've had with AI is realizing the accuracy plateau we hit in the early 2000s was largely limited by data scale and quality. Fixing these issues at a scale large enough to make a useful model uses insane amounts of hardware and energy, and if you find a better way to do things next week, you have to start all over. Further, you need specialized programmers, mathematicians, and operations folks to build and run the code.
Long story short, start-ups are struggling to come to market with AI outside of basic applications, and of course cut-throat silicon valley does it's thing and most of these companies are either priced out, acquired, or otherwise forced out of business before bringing something to the general market.
Call the tech industry out for the slime is generally is, but the AI technology itself is extremely promising.
It was the bad old days of sysadmin, where literally every critical service ran on an iron box in the basement.
I was on my first oncall rotation. Got my first call from helpdesk, exchange was down, it's 3AM, and the oncall backup and Exchange SMEs weren't responding to pages.
Now I knew Exchange well enough, but I was new to this role and this architecture. I knew the system was clustered, so I quickly pulled the documentation and logged into the cluster manager.
I reviewed the docs several times, we had Exchange server 1 named something thoughtful like exh-001 and server 2 named exh-002 or something.
Well, I'd reviewed the docs and helpdesk and stakeholders were desperate to move forward, so I initiated a failover from clustered mode with 001 as the primary, instead to unclustered mode pointing directly to server 10.x.x.xx2
What's that you ask? Why did I suddenly switch to the IP address rather than the DNS name? Well that's how the servers were registered in the cluster manager. Nothing to worry about.
Well... Anyone want to guess which DNS name 10.x.x.xx2 was registered to?
Yeah. Not exh-002. For some crazy legacy reason the DNS names had been remapped in the distant past.
So anyway that's how I made a 15 minute outage into a 5 hour one.
On the plus side, I learned a lot and didn't get fired.
Yeah honestly no idea regarding moderation. But the codebase is maintained by a team.
There is a team, not a sole dev.
I'm not saying everything is roses and rainbows, but this is FUD messaging being spread openly by the mbin dev team.
They put ads in.
But what if they don't need that many people working on Firefox? What if AI, VR, and Network programmers are fundamentally different in skills from a web browser programmer, and don't want to change their career trajectory?
What if, by not firing these people, Mozilla folds in 3 years and everyone ends up without a job?
Not every project makes 2x the money with 2x the people. It's the "Why can't 9 Mom's give birth in 1 month" problem. Hell most projects will slow down significantly with an influx like that.
Look, layoffs suck, but it's quid-pro-quo. Employees can leave at any time too. If a company isn't abusive or arbitrary with their layoff decisions, has decent layoff benefits, and doesn't refuse to give job recommendations, it's hard for me to hold it against the employer.
Honestly, I bought my kid a used Chromebook. No regrets. Lots of benefits.
You say "no one knows coffee better than he does", while blatantly disagreeing with his entirely empirical points in his video on decaf, that it can be made by several processes, all of them are fairly good, and the result can be masterful?
I live in a hockey capitol. That makes me nothing like an expert. Same for you.
Okay, so you make brilliant decaf. That means your point in this thread is moot?
Funny thing on that "subjectivity" is when you disagree with other people in this thread, you've plainly said they're just entirely wrong.
When someone disagrees with you, you hide behind "subjectivity".
I encourage you to introspect.
Never ask a man his pay, a woman her weight, or a data horder the contents of their stash.
Jk. Mostly.
I have a similar-ish set up to @Davel23 , I have a couple of cool use cases.
I seed the last 5 arch and opensuse (a few different flavors) ISOs at all times
I run an ArchiveBot for archive.org
I scan nontrivial mail (the paper kind) and store it in docspell for later OCR searches, tax purposes etc.
I help keep Sci-Hub healthy
I host several services for de-googling, including Nextcloud, Blocky, Immich, and Searxng
I run Navidrome, that has mostly (and hopefully will soon completely) replace Spotify for my family.
I run Plex (hoping to move to Jellyfin sometime, but there's inertial resistance to that) that has completely replaced Disney streaming, Netflix streaming, etc for me and my extended family.
I host backups for my family and close friends with an S3 and WebDAV backup target
I run 4x14TB, 2x8TB, 2x4TB, all from serverpartsdeals, in a ZFS RAID10 with two 1TB cache dives, so half of the spinning rust usable at ~35TB, and right now I'm at 62% utilization. I usually expand at about 85%