kamranjon
kamranjon on Hacker News
"I’ve opted for the largest after-market external battery I could find. When doing casual work the laptop will easily survive for north of 10 hours without a charge, stretching to 12 hours if I’m careful."
Does anyone have a good suggestion for an aftermarket battery? I have a few Thinkpads and I've tried so many batteries and they all last maybe 2 or 3 hours before needing a recharge. If someone is out there making high density batteries for these old laptops I'd love to pick one up.
Is Debian still considered beginner un-friendly or had it improved in that respect?
Pretty amazing for being trained from scratch, to have ~Qwen 3.8 27b quality with such an increase in tok/s performance. Excited to try it out and see how snappy it is.
SPOILER!!
The general twist is that she doesn’t really come off as the villain of this film (though she certainly does not come off in a flattering light) - her current husband it turns out is actually a pretty terrifying sociopath who seems to possibly have a bit of a cocaine habit (inferred from the excessive sniffles and insane demeanor) - and he really becomes sort of the films main antagonist.
All of this is completely subjective so someone else could come away with a different take, but if there was a twist (which I would not say this is a film with an overt twist) - it would be this.
For me it was a window into insane wealth and privilege and the types of lives these people lead and the engines that power their sense of self importance and delusions. I do think it was a phenomenal documentary.
Try the Qwen 3.8 flash next model on DwarfStar - you will be very surprised. I’ve been using the 4 bit quant almost exclusively after having DS v4 flash be my daily driver. Qwen is faster and seems to be much better at coding tasks.
There’s a popular hologram by Walter Spierings that I think highlights what makes holograms unique:
https://youtu.be/K-ahG_Q2xRcIt’s a microscope, that in the correct angle allows you to actually look down the viewfinder and see what the microscope was displaying.
This works because the hologram is recording the interference pattern of the photons that existed in the actual scene.
I’m really fascinated by these types of holograms and think they hold quite a bit of artistic potential.
Sooo I haven't really been super impressed with the needle models before, but this is very impressive. It transcribed multiple sentences I gave it with complex timing and words and in such a small footprint, I'm super impressed. Excited to see what types of things can be built with something like this, the performance seems very good.
llama.cpp sycl and vllm xmx work is pretty incredible right now - you just gotta build it with some extra flags
This account was created only a couple weeks ago and seems to be spamming this closed model, seems it might be a bot?
does anyone understand what this part actually means?
"The near-$42 billion net loss included a roughly $34 billion accounting charge that reflected an increase in the estimated value of financing that could eventually turn into Anthropic shares, rather than money the company spent running its business."
Is the excalidraw api constantly changing?
You would probably be surprised by how many jobs require that you use AI - I even had an interview where it was strongly encouraged to use it during the technical phase. I guess what I’m getting at is, for many people this isn’t really a choice.
Is that true though? 5g is significantly faster than starlink
Huh… I always thought direct satellite connection was one of the things that distinguished starlink from cellular tech like 4g or 5g, and that low earth orbit was what made it possible… what actually makes starlink different?
Edit: oh I think? I understand now, these basically relay the internet itself up to the satellites - so your individual starlink dish is still talking directly to a satellite but the satellite resolves your request for a website through these ground stations. I think?
Many people are commenting that AI is just a scapegoat here and really this is a story about military incompetence. What I think is probably more interesting is how AI enables incompetent people to do more damage than they would otherwise. Two things can be true at once, the military can be incompetent, and AI can be used to make targeting decisions that are wrong - we can understand both the new world that we live in, and the absolution of responsibility it offers without ignoring these nuances.
Is that true though? It seems like the iphones are doing some type of skin smoothing algorithm but the Huawei is the only one that actually seems to produce actual skin texture and blemishes. My initial read was that the Huawei was the least processed of the bunch.
"Ternary Bonsai 2 27B reaches up to 143 tokens/second on NVIDIA GeForce RTX 5090 and 46.8 tokens/second on M5 Max. On an RTX 4090, Ternary Bonsai 2 27B consumes just 0.714 mWh/token, making it 40% more energy-efficient than an 8B model running in full-precision."
Love this for the folks with 16gb graphics cards - 3.8 27b has been incredible but not quite runnable on anything less than 32gb - will try loading this up on my 16gb intel b50 and see how it goes - not sure these quants can be accelerated by the XPU cores yet but maybe in time!
Someone tell this man about vLLM!
Is nobody using structured outputs? They use constrained decoding at the generation stage to ensure the probability of tokens that would break the format are set to 0. I kinda figured everyone was doing this at this point.
Hey there! I do the same but I use dwarfstar at a 2-bit quant:
https://github.com/antirez/ds4I'm curious if you've tried dwarfstar and decided to move to llama.cpp and 3 bit quants or what made you go that route instead? I've been using ds4 for months now and it's already got support for the new vision model, haven't tried it yet, still on 0731 but it's been very solid for me.
I follow llama.cpp pretty closely as I use either llama.cpp itself or projects that depend on it all the time, and one thing that I don't think gets talked about is the sheer scale of community involvement. It seems like a logistical nightmare, but somehow thousands of different contributors are opening hundreds of PR's every week and getting them merged in to support various hardware or implement a new pattern or algorithm from a recent research paper. It's really quite awe inspiring for me to see, and think it is in no small part because of the leadership of ggerganov - so I'm happy to see that he is sticking around and plans to keep building this incredibly useful tool that has grown into a huge community at this point.
Did you post in the wrong thread?
I think this account should be banned.
it's funny that the tagline is Radically Open, but you're immediately hit with http login - maybe this was the wrong link?