Is element on the main profile or are you waiting for notifications from secondary profiles? Also, might not be related, but my messaging notifications w/ GrapheneOS has gotten worse in the past week or so (Google Messaging hasn’t always alerted to new messages until I open the app and it pulls them) so it might be a Graphene thing as well.
RIP. Hope that his whistleblowing doesn’t end up falling on deaf ears
If you are concerned about HDDs failing, I would try the nvme instead. For me, I have a 1tb external HDD connected to my server-laptop. It’s definitely an eye-sore but my server is basically on the shelf out of the way and I SSH into the server 99% of the time unless it goes down.
The HDD is not blazingly fast by any means, but I stream jellyfin videos which is great. There is maybe a 1-2 second pause before a movie starts, but there are no noticeable buffering after, even @ 1.75 speed
If you have a spare laptop/phone, I’d find a good tutorial and start there and then venture towards new hardware as your needs require it. Personally, I bought a (used) laptop when my main laptop wouldn’t boot, but then I wiped my malfunctioning laptop and it started working again. I’ve been using the used laptop as a server ever since.
Personally, I have yet to find something that I couldn’t self-host on the laptop and still don’t quite grasp why I’d need a heavier-powered device.
Same. I’m on Debian tho so I’ve got ~6 months until it affects me :D
Thanks for the update!
The author from the article did. It’s a bit of a stretch as are the last 2-3 pieces of the list 🤷🏾♂️. The first few are still pretty big.
Is super-intellignence smarter than all humans? I think where we stand now, LLMs are already smarter than the average human while lagging behind experts w/ specialized knowledge, no?
Source: https://trackingai.org/IQ
Do you have an example of human intelligence that doesn’t rely on pattern recognition through previous experience?
At what point do you think that your opinion on AI trumps the papers and studies of researchers in those fields?
Respectfully, none of the aforementioned examples are simple, or else humans wouldn’t have needed to leverage AI to make such substantial progress in less than 2 years.
I’ve been using AI to troubleshoot/learn after switching from Windows -> Linux 1.5 years ago. It has given me very poor advice occasionally, but it has taught me a lot more valuable info. This is not dissimilar to my experience following tutorials on the internet…
I honestly doubt I would ever pay for this shit.
I understand your perspective. Personally, I think that there’s a chicken/egg situation where free AI versions are a subpar representation that makes skeptics view AI as a whole as over-hyped. OTOH, the people who use the better models experience the benefits first hand, but are seen as AI zealots that are having the wool pulled over there eyes.
Any thoughts on the paragraph following your excerpt:
The most persuasive way you can demonstrate the reality of AI, though, is to describe how it is already being used today. Not in speculative sci-fi scenarios, but in everyday offices and laboratories and schoolrooms. And not in the ways that you already know — cheating on homework, drawing bad art, polluting the web — but in ones that feel surprising and new.
With that in mind, here are some things that AI has done in 2024.
- Cut customer losses from scams in half through proactive detection, according to the Bank of Australia.
- Preserved some of the 200 endangered Indigenous languages spoken in North America.
- Accelerated drug discovery, offering the possibility of breakthrough protections against antibiotic resistance.
- Detected the presence of tuberculosis by listening to a patient’s voice.
- Reproduced an ALS patient’s lost voice.
- Enabled persecuted Venezuelan journalists to resume delivering the news via digital avatars.
- Pieced together fragments of the epic of Gilgamesh, one of the world’s oldest texts.
- Caused hundreds of thousands of people to develop intimate relationships with chatbots.
- Created engaging and surprisingly natural-sounding podcasts out of PDFs.
- Created poetry that participants in a study say they preferred to human-written poetry in a blind test. (This may be because people prefer bad art to good art, but still.)
Can you elaborate on the AT subscriptions?
One alternative is to us SearXNG for similar functionality. The preference tabs work for them. I am using northboot.xyz and adjusted the colors and default engines but you can pick anything from searx.space
Keep us posted. I am using tailscale, but plan on transitioning to a VPS running a VPN and/or headscale on it. Your scenarios isn’t something I’m familiar w/ but might be a good option
Any plans for a docker container?
Interesting use case. I made the jump from teddit -> redlib last week after the API adjustments
I’ve been using it. I could never get the official app to play more than one podcast in a row, yet this one does it out the book. I’m a fan altho it’s definitely still a WIP
With OpenAI’s latest release, it’s becoming apparent that AGI is looming and it would cause OpenAI to end its partnership w/ MSFT IIRC