I have tried everything (that will run on a 12GB RTX 4070) and I have yet to find anything with better accuracy than Whisper V2 Large for my dataset (discord audio from TTRPG sessions, isolated per-speaker, mostly non-American accents)
Slightly off-topic but: does it concern you that you're letting atrophy a very important skill for human communication (organising your thoughts and ideas, and then clearly communicating them to others)?
Tbh, I never have been a good writer. A college professor once told me I am a terrible writer. I've tried to get better (I read a lot, I write a lot, I've taken multiple college level writing course). I even started a blog (https://kcoleman.me).
I kinda view myself as a wheelchair user. I'm bad at walking so I use at wheelchair so I can at least have a semblance of decent communication. I don't think my ideas are not worth sharing, but I'm just bad at writing them in an engaging way.
The scarier thing for me is coding. I am good at coding. But I don't even read a single line of code any more.
As someone who's still learning English, this is one thing I'd never use AI for, at least not in the near future, simply because thinking and structuring my thoughts before typing is the same as it is before speaking and actually talking to other people can't be outsourced to AI.
But I imagine if I'd been a native speaker I wouldn't mind using AI like OC does since it's a convenience. Same way I use a calculator for two digit multiplications in real life but spent years learning to do it manually in school.
You're probably further into english than I am into vietnamese, but I really like using AI to help me improve my vocabulary and understanding of the language.
I avoid using AI as a direct translation tool, but its super useful for me to translate complex english ideas to vietnamese.
As a native English Speaker I can tell you that I would have some trouble talking out an email. I like the back and forth in my head of editing as I go. Text messaging may be fine but email is more difficult for me to just talk through.
I am loving the conversation here though of how people are using speech to talk to LLMs or not though, it is something that no one talks about much
This worries me tremendously. In fact, it is one of the major points of value that i deliver as an engineer. Organizing and iteration on thoughts is not trivial or easy, but it is very important!
> Organizing and iteration on thoughts is not trivial or easy, but it is very important!
Two of the silliest things that helped me in my career:
* I worked at fast food restaurants in high school. This instills a near pavlovian response to client requests; if at the age of sixteen you can deal with someone who's mad because there isn't enough cheese on their pizza, it goes a long way in the real world.
* My first I.T. job was in an office where the vast majority of the people who worked there had never used a computer at all. Just to stay employed, I had to resist the urge to explain things in a complex way. When I'm trying to sell an idea to a group of people, I do my best NOT to ignore the people in the room who may not understand that idea well. I think that engineers often have a bad habit of getting into engineering arguments with management in the room, where they take things to a level of complexity where management may not understand what's being talked about. Bringing things back down a few levels goes a long way towards getting management to sign off IMHO. Unfortunately, it's a double edged sword, and it can fall flat when management is especially well informed. Classic information asymmetry.
>enough front-page posts that there's less value to him
On the countrary I'd say it's probably even more important - without (amongst doing other "thought leader" things) getting on the HN front-page regularly an influencer's value to the industry disappears (not criticising him here)
That's bad news for all of the other "AI influencers", off the top of my head I can't think of any with remotely my track record of hitting HN.
(That's because they're all busy attracting millions of views on TikTok and YouTube, which are much more impactful channels than my dedication to blogging like it's 2005.)
That's what I meant by other thought leadership things - that's all covering different niches. For what it's worth, I think you do useful work and are a respectible influencer.
I'd also say don't be down about your use of blogging - I'd say it makes you more valuable, there aren't that many decision-makers who are going to sit through a bunch of breathless YouTube videos...
P.S. I hope you don't object to me using the term influencer, assumed you were on-board with it since in your post announcing your sponsorship you referenced Freeman & Forrest, "influencers on tap" / "building turnkey influencer marketing programs as a service".
"Damaged" is a bit of an understatement, if the photos[0] are accurate (positions do look consistent between different photos so doesn't seem like AI to me)
The US had only 16 of these in total. It seems there is a second one also hit. Last year they had only 55% of the fleet available at any point in time. So they have now about six available now for operations...worldwide...
Much harder to coordinate air attacks without these.
Yeah, they do very much need an editor (I suppose it was tagged as a #rant!)
The thing I found interesting (and I've not really observed much) is they're complaining about people who aren't making a distinction between the use of generative AI to assist with boilerplate utilitarian code, vs image diffusion models to replace artists.
Would you elaborate what you mean by saying Linux on an M-series chip isn't straightforward? That's not been my experience, I (and lots of other devs) use it every day, Apple supports Linux via [0], and provides the ability to use Rosetta 2 within VMs to run legacy x86 binaries?
Clearly I'm not as knowledgable about this as I thought I was. I already have a Ubuntu x86 VM running on an Intel Mac (inside VirtualBox). Same with Windows 11. Can this tool allow me to run both VMs in an Apple Silicon device in a performant way? Last I checked VirtualBox on Apple Silicon only permits the running of ARM64 guests.
While I have a preference for VirtualBox I'd say I'm hypervisor agnostic. Really any way I can get this to work would be super intriguing to me.
> Can this tool allow me to run both VMs in an Apple Silicon device in a performant way?
I use VMWare Fusion on an M1 Air to run ARM Windows. Windows is then able to run Windows x86-64 executables I believe through it's own Rosetta 2 like implementation. The main limitation is that you cannot use x86-64 drivers.
Similarly, ARM Linux VMs can use Rosetta 2 to run x86-64 binaries with excellent performance. For that I mostly use Rancher or podman which setup the Linux VM automatically and then use it to run Linux ARM containers. I don't recall if I've tried to run x86-64 Linux binaries inside an Linux ARM container. It might be a little trickier to get Rosetta 2 to work. It's been a long time since I tried to run a Linux x86-64 container.
Not until macOS 28., but you're right, it's frustratingly unclear whether the initial deprecation is limited to macOS apps or whether it will also stop working for VMs.
This can be avoided by not upgrading to MacOS 28 right? I'm new to Mac's and the Apple release schedule so I'm not sure how mandatory the annual updates are.
You can just splat whatever support files it needs into the VM there isn't anything special about them. In fact you can copy them onto a different (non-Mac) device and use them there too
GPU encoding is fast, but usually it produces poorer quality results because it avoids trying paths that are hard to do quickly on the GPU.
If you want to optimise, try different encoders (sounds like you've already done some of this) and lots of different settings - it'll involve a lot of tuning if you want to figure out the right balance for your particular media between quality/speed/size, while also making sure that your machine hurts as much as possible.
Driveby 2c as a video industry person: don't retranscode your media unless you've got them in a really space inefficient codec and you're seriously hurting for space. You'll burn a lot of power retranscoding, are you actually saving useful $$$ of storage in exchange for that spend? Storage is cheap, and there's always a better codec coming along you could retranscode into and save some more space. It's a vicious cycle: each generation has to encode the artifacts from the previous generations.
I couldn't parse the intended meaning from "lack of commitment to no longer commiting crimes"), so here's a response that just answers the question raised.
Do you regard the justice system as a method of rehabilitating offenders and returning them to try to be productive members of society, or do you consider it to be a system for punishment? If the latter, is it Just for society to punish somebody for the rest of their life for a crime, even if the criminal justice considers them safe to release into society?
Is there anything but a negative consequence for allowing a spent conviction to limit people's ability to work, or to own/rent a home? We have carve-outs for sensitive positions (e.g. working with children/vulnerable adults)
Consider what you would do in that position if you had genuinely turned a corner but were denied access to jobs you're qualified for?
