HN user
Would it make economic sense to strip it down and sell for parts? That’s how it’s done now for older data centers, where the obsolete equipment is sent off to China, stripped down for parts, and sold on the secondary market. I’ve picked up several older but still useful RAID hardware cards off eBay this way.
I’m mainly interested in getting some DDR4/5 and RTX5090s on the cheap :).
How did you do this? The in-house setting will revert back to new reddit.
Because it’s AI, man.
Get one of these:
https://www.andar.com/products/the-helm?variant=397924980491...
Pricey, but the lip covers the edge. My current one is 4 years old and lasted a couple of generations of Macbooks.
The fish rots from the head. It’s Zuckerberg.
This and and other thing like Zuckerberg’s desire to integrate facial recognition into Meta’s Ray-ban glasses puts him in squarely in the lead for world’s creepiest human.
https://www.wired.com/story/meta-smart-glasses-face-recognit...
Even for logged in users, it keeps reverting back to the new reddit no matter how many times one update the setting in preferences.
It’s a user hostile shitshow.
No I am not. The discussion is about investment spending on AI.
It’s actual less than $2T IIRC, which makes my point even more.
Calls to mind a quote attributed to Cardinal Richelieu, 16th century Secretary of State for France:
‘If you give me six lines written by the hand of the most honest of men, I will find something in them which will hang him”
For context, the US alone spends annually a bit more than $2T on Social Security, Medicare, and Medicaid. That money is widely dispersed both geographically and socioeconomically. $2T is not as much as one may think. I think we should let investors put their private money where they wish.
Also, as an aside, the benefits of globalization on the balance far outweigh the drawbacks. Globalization has been the primary force pulling 3rd world countries out of poverty over the last 80 years.
Rest assured, this will likely come with no small amount of grift.
The Trump administration has already installed political appointees in America’s federal R&D organizations including the NIH and NSF. They have final say on funding decisions. These appointees override grant peer review and regular agency channels. It’s all part of Russel Vought/Project 2025’s unitary executive theory.
These NSF initiatives could well be the next logical step to channel millions of research funds to politically connected companies and organizations. Something similar happened with the recent Reflecting Pool fiasco where the federal contracts were give to Trump donors.
There’s no reason not to believe this will also happen to America’s federal R&D. Grift aside, there’s no reason either not to believe the funds will be given to Trump administration pet projects of dubious scientific value.
I can’t decide if you’re ignorant or duplicitous. Go read up on zoning and educate yourself. I don’t have the time to debunk all this nonsense. For instance, it is not generally legal by right to build up to five stories if made of wood. Far from it. The vast majority of neighborhoods forbid such construction.
At the local level. And yes, these local zoning laws are strikingly similar in their opposition to multi-story residential.
American zoning forbids taller ~6 story residential building and trades open green space parks for shorter, 1-2 story buildings. The lower density means people are further away from the few parks that do exist too.
The take home message:
“While modern AI models have expressed some capabilities in certain fields such as coding, cybersecurity research, language translation, etc, no AI model is capable enough to replace the critical thinking and common sense of an actual human being.”
When the AI bubble pops, the collapse will be spectacular.
“Anyone with common sense understands that the nation of the USA is/was a place with a specific culture and genetic makeup”
This is genuinely racist. You are a vile human being.
Reported.
Historically then, unless you are a Native American, you are an immigrant.
Perhaps it’s time for to GTFO? Is that the message?
Hacker News really resembles a MAGA rally at times
“It was built by Americans and regardless would have continued to be built by Americans.”
The xenophobic ignorance of this sentence is breathtaking. America, of all places, is a nation built precisely by immigrants.
First, I think the H1B does need genuine reform to keep the big companies from gaming the lottery system.
Having said that, I’m not sure banning H1Bs or immigrants in general is going to help American workers. Take tech for instance. Many tech leaders are immigrants. If they hasn’t taken in the Jensen Huang’s, Sergei Brin’s, Sundar Pichai, etc… the companies they lead and jobs they created would be elsewhere. It’s amazing how immigrants have shaped the US tech scene:
https://www.forbes.com/sites/stuartanderson/2026/06/03/immig...
Second, when you ban immigrants/H1B, companies get around the ban by outsourcing to foreign countries.
https://www.forbes.com/sites/stuartanderson/2017/06/10/if-yo...
Something similar happened in Boston decades ago when the city decide to build Storrow drive over what was supposed to be parkland donated by Charles Storrow’s widow. Instead, they turned Boston’s riverfront into a ghastly highway.
https://www.wbur.org/news/2009/07/17/esplanade-future
I don’t know the particulars of this Texas case, but the lack of green space in American cities is often the result of a car centric and building height limited urban planning.
Paris is an excellent example of how urban density and green space can go hand-in-hand.
Your version is considerably worse, and imo, more verbose. It misses a multitude of subtleties that the author packs into a single phrase, and frankly, doesn’t even come close to saying the same thing.
I chalk it up to an American technical class who consider the height of good writing to be an O’Reilly book.
This line jumped out at me:
“In other words, AI is on track to perform at base competence on most tasks in about three years. These researchers believe agents will need another few years to outperform humans”
LLMs have shown steady improvements, but it’s a big assumption they will continue their performance gains, and specifically, that it’s a simple matter of time before they surpass human level performance on “most tasks”. (In six years no less!) The author is claiming LLMs are fundamentally AGI capable.
This is not going to end well. At least I will be able to pick up used DDR5 memory and GPUs on the cheap in the not too distant future.
Not inherently they don’t.
Fair points.
More broadly, I think this an instance of how AI/Deep Learning is turning over technologies (photos, video, voice communications) we have come to rely upon, and for us to continue to rely upon, they will need to be radically reworked with security as a starting point, not an afterthought.
This seems to be partly a technological problem. We will soon need secured, authenticated modes of communication that can verify a person’s voice.
A similar problem is emerging for photos and videos. We also soon need cryptographically signed devices in order to be used in journalism or to be admissible in court.
Otherwise we are going back 150 years where we depend on in-person communication and eyewitness accounts.
I believe they can be used offline, at least the last time I used Garmin I was able to set it up such that I could sync it to Golden Cheetah. It took some jumping through hoops and an older watch version to get it work, as I recall. For serious runners and hikers, the hardware is better than Apple.
I'm only a casual fitness tracker so the Apple Watch fits my needs better.
I considered an Oura but went with an Apple watch instead. I turned on Advanced Data Protection on the paired iPhone for peace of mind. No other large data providers really provide anything equivalent to ADP’s E2EE protection with zero access encryption, especially in the consumer space for activity trackers.
Thanks for the reassurances. Love your product.
The after effects of DOGE has left the NIH in tatters. Staff has been gutted, grants are months and months behind causing research groups and startups to go under.
Whatever good Musk has accomplished with SpaceX will be offset by the harm he has done to biomedical research in the final accounting.
Being new to the idea of using agents to run programs on one’s computer, could someone provide several use cases?