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)?
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".
>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)
"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)
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?
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?
>does this limit the agent's ability to run standard Linux tooling? Or are you relying on the AI to just figure out the BSD/macOS equivalents of standard commands?
Slightly counterintuitively, Apple Containers spawns linux VMs.
There doesn't appear to be any way to spawn a native macOS container... which is a pity, it'd be nice to have ultra-low-overhead containers on macOS (but I suspect all the interesting macOS stuff relies on a bunch of services/gui access that'd make it not-lightweight anyway)
FYI: it's easy enough to install GNU tools with homebrew; technically there's a risk of problems if applications spawn commandline tools and expect the BSD args/output but I've not run into any issues in the several years I've been doing it).
I assume that will be better than whisper - I haven't benchmarked it against cloud models, the project I'm working on cannot send data out to cloud models
For my inputs, whisper distil-large-v3.5 is the best. I tried Parakeet 0.6 v3 last night but it has higher error rates than I'd like (but it is fast...)
>In June 2025, 56% of people in Great Britain thought it was the wrong decision
It's not so clear when you consider that 48.1% of the original referendum voters wanted to stay in the EU. I'm honestly very surprised by this poll, 8% change is pretty minimal considering the turmoil the country has gone through since 2016.
How much of this can be explained by older voters dying in the intervening 10 years, I recall that demographic skewed much more heavily Leave in 2016
That's helpful to know, thanks! I gave Max 5x a go and didn't look back. My suspicion is that Opus 4.5 is subsidised, so good to know there's flexibility if prices go up.
>Even with brew, the brew maintainers have already audited the code
Realistically, how much are they auditing? I absolutely agree with your sentiment that it's better than a binary, but I think the whole security model we have is far too trusting because of the historically overwhelming number of good-faith actors in our area both in industry and hobbyists
Not the person you're responding to but... if you think it's a horse -> car change (and, to stretch the metaphor, if you think you're in the business of building stables) then preparation means train in another profession.
If you think it's a hand tools -> power tools change, learn how to use the new tools so you don't get left behind.
My opinion is it's a hand -> power tools change, and that LLMs give me the power to solve more problems for clients, and do it faster and more predictably than a client trying to achieve the same with an LLM. I hope I'm right :-)
If they're using Opus then it'll be the $100/month Claude Max 5x plan (could be the more expensive 20x plan depending on how intensive their use is). It does consume a lot of tokens, but I've been using the $100/mo plan and get a lot done without hitting limits. It helps to be mindful of context (regularly amending/pruning your CLAUDE.md instructions, clearing context between tasks, sizing your tasks to stay within the Opus context window). Claude Code plans have token limits that work in 5-hour blocks (that start when you send your first token, so it's often useful to prime it as early in the morning as possible).
Claude Code will spawn sub-agents (that often use their cheap Haiki model) for exploration and planning tasks, with only the results imported into the main context.
I've found the best results from a more interactive collaboration with Claude Code. As long as you describe the problem clearly, it does a good job on small/moderate tasks. I generally set two instances of Claude Code separate tasks and run them concurrently (the interaction with Claude Code distracts me too much to do my own independent coding simultaneously like with setting a task for a colleague, but I do work on architecture / planning tasks)
The one manner of taste that I have had to compromise on is the sheer amount of code - it likes to write a lot of code. I have a better experience if I sweat the low-level code less, and just periodically have it clean up areas where I think it's written too much / too repetitive code.
As you give it more freedom it's more prone to failure (and can often get itself stuck in a fruitless spiral) - however as you use it more you get a sense of what it can do independently and what's likely to choke on. A codebase with good human-designed unit & playwright tests is very good.
Crucially, you get the best results where your tasks are complex but on the menial side of the spectrum - it can pay attention to a lot of details, but on the whole don't expect it to do great on senior-level tasks.
To give you an idea, in a little over a month "npx ccusage" shows that via my Claude Code 5x sub I've used 5M input tokens, 1.5M output, 121M Cache Create, 1.7B Cache Read. Estimated pay-as-you-go API cost equivalent is $1500 (N.B. for the tail end of December they doubled everybody's API limits, so I was using a lot more tokens on more experimental on-the-fly tool construction work)
>the best way to install these tools is to build it yourself, i.e. make install, etc.
And you're fully auditing the source code before you run make, right? I don't know anyone who does, but you're handing over just as much control as with curl|bash from the developer's site, or brew install, you're just adding more steps...