plaidfuji
Joined 9 years ago
Joined 9 years ago
Tolerance of tablet use is a spectrum ranging from the aggressively Luddite tech elite shielding their children from their own creation all the way to the 6-year-old posted up in the basin of a grocery cart dual-wielding their ruggedized tablet running Minecraft and their parents’ phone cycling through YouTube slop.
In my experience, most people fall somewhere in the middle, i.e. “we’re on our 4th hour in coach class, I’m tired of pretending this animal-themed card game is fun, and I know this isn’t development-maxing right now but we’re gonna do it for an hour to preserve our sanity and that of those around us”.
That being said, the problem with these ads is that they normalize tablet use as something that’s just another (even desirable!) part of everyday life, not a tool of last resort.
Low compared to who? Third-world countries? Again, just shows how far we’ve fallen that these are the comparisons being made. The problem with the US isn’t direct low-level corruption, it’s systematized high-level corruption.
> Broadly speaking you can't purchase bills or laws, and have to convince the public.
There is a multi-billion-dollar lobbying industry whose purpose is essentially this, but through legal indirect channels. And the public are so ill-informed that spending money = convincing the public.
> The US has issues, but any supposed lack of data privacy laws isn't due to corruption, it's due to the will of the people
I tend to agree with this, but if there ever was broad momentum to strengthen data privacy laws, systematized corruption would stymie it. And is likely already actively suppressing it.
Private sponsorship of personal vanity projects (White House ballroom)…
Jet gifted by a foreign entity (Qatari AF1)…
Ambassadors demanding personal payment for guaranteed audiences (Guilfoyle)…
And that’s just in recent memory. The Left isn’t blameless either. The fix needs to be systemic (repeal Citizens U, re-build independent oversight and nerf the executive), but unfortunately I only see it becoming a deeper and more acrimonious blame game.
> This is software that isn’t ready for prime time, hasn’t been fully cooked, and is operating in a country that’s too corrupt to pass meaningful modern privacy laws or to regulate data brokers.
Something about the way this is worded, whether intentional or not, really drives home the reality of the US’ diminished standing as a trusted global partner. Like, we’re simply not taken seriously anymore. And it’s not just because of corruption - the corruption is there because of deep-seated political ignorance.
If he truly believes this, why wait to stop thinking if AI is so capable? Why not have AI write all of your blog posts, papers, proposals, emails, conference presentations, letters of rec, etc? Read an AI script for your next keynote lecture. Every professor will be doing exactly that in the near future, as you predict.
Or maybe - maybe true critical and synthetic thinking will become even more rare and valuable than before. I actually find that when using AI in my job, I have to think more - I don’t get to do the slow work of crafting code anymore. I have to keep building my understanding of an ever-evolving codebase, on a cadence of hours. Because I have to explain what it’s doing at some point. I’m not sure that part goes away.
Or if I’m a professor writing grants or giving lectures, eventually I have to stand up and talk about it, and answer questions. So the machine can help me generate content, but I still have to internalize much of that content before I can confidently deliver it. So now that’s my rate-limiting step - the processing and digesting. I need to be doing that every day, and people will come to expect a new rate of output.
I think for some people, there will be an ability to tune out and become a manager of AI, just passing specs, requirements and feedback through. But I suspect that for many “knowledge workers”, the “knowledge” part is actually going to get more intense. That’s been my experience so far at least.
But maybe that’s just the last gasp of somebody being outcompeted by a thinking machine.
Again, I’m not saying we’re there, it just feels like the control software is the main bottleneck, and the development of that is now being accelerated by LLMs.
I agree the data trove for these is not nearly as comprehensive as “the entire internet” was for LLMs. But LLMs paved the way - people are building the datasets rapidly now. I suspect this will look a lot like LLM rollout looked over the past 5-ish years. Unusable garbage… less unusable garbage… then suddenly, a fully capable model like Opus 5.5 or the like.
And the “problem” with the way the foundational models seem to work is that they don’t just acquire individual skills one at a time like we do - they go from knowing nothing to knowing everything.
> I'm also continually surprised that people seem to think politics doesn't exist anymore. I find it exceedingly unlikely that massive amounts of people will simply accept this
This is exactly the part I’m afraid of. The political response of the displaced labor (which may or may not be violent / revolutionary), and the subsequent counter-response of capital… potentially using the very robots that displaced the jobs to begin with.
But also, upon more reflection, it occurred to me that if we’re able to create a competent humanoid robot, that could legitimately be world changing in some good and other very bad ways. The scary part is that I don’t believe there’s any major physical / energetic barrier to this. The hardware exists, the power supplies are light enough. The only part that’s lagging is the software and motion contols; the intelligence. The part that is experiencing breakthroughs at an accelerating pace.
What if a highly intelligent and physically competent robot were available for the price of a cheap car, say ~$20k? What if that robot were competent enough to cook, clean, assist the elderly, move things around, assemble and disassemble things, etc? Billions of jobs would be displaced, or hit with a very concrete maximum wage.
Many white collar jobs, while still at risk for displacement as well, benefit from barriers like IT integration and data privacy hurdles, and the fact that corporate higher-ups simply prefer to communicate with humans.
But most blue collar / manual labor jobs have almost the opposite condition: humans introduce risk, and generally don’t enhance anybody’s “experience” - see people’s somewhat odd acceptance of higher fares for a Waymo vs an Uber. [1]
I don’t think we’re there yet, but the fact that we are rapidly accelerating our trajectory toward that world should be at the least, unsettling.
[1] https://techcrunch.com/2025/06/12/waymo-rides-cost-more-than...
I’m afraid this is where most cases of general “arbitration” are headed. Whether it’s a court case, you negotiating with your insurance / warranty / other hostile corporate party, or even job applications to an extent, it seems that there is an advantage to be gained by both parties using AI to overwhelm their “opposition” with generative babble. It’s almost like a proof-of-work hurdle that will need to be surmounted in order to escalate to a human.
We largely already missed our chance to stop the toxicity of social media - let’s not mess it up again with chat bots.