I feel e-bikes are like electric cars and SUVs, so bloated that they’re redefining what “light” means.
My cheap gravel bike from 2020 is 10 kg, and this one is 15. Is this “reasonably light for an e-bike”? Sure. Is this “so light that I won’t believe it’s electric”? Well, it’s 50% heavier than a budget gravel bike from 7 years ago, so no way I could believe that.
Interestingly what I’ve said here ☝️ ️comes with an interesting implication. There used to be a type of software “engineer” that couldn’t actually think through a problem and implement a good software solution. They were valuable because they could refactor, write code, but not think through a problem. These are the people who have the most to lose at the moment, and also the ones that find the least value on AI, because AI only does really well the single thing they could do.
I appreciate the intent behind that sentence, and the problem is that is written (or said) by people who don’t understand coding.
Syntax was never the hard part. Code syntax is a set of rules that you can teach a machine and it’s “easy” enough for an LLM to grasp it. The problem here is that this phrase does a “code = syntax” but ignoring all the difficult things that actually are in the code. Architecture, design, tradeoffs, translation of vague requirements into concrete software components…
All of those things are terribly hard, and the reason why many LLM-first coding projects get abandoned at 70% and then companies need to hire a Software Development consultancy to mop up their mess.
I’m an engineer. I’ve studied aerodynamics. I know how helicopters work. I know the blade is a wing that generates lift. I can even explain it all in detail.
Yet if we came across some alien antigravity technology and we started making antigravity aircraft, I’m sure that would make more sense to me than helicopters because what the hell. My brain just refuses to believe they can fly.
Are these any good? I mean, within their size class, obviously - not expecting them to compare to Kimi K3!
Models the size of that 135M one open up some interesting use cases for edge devices.
What they forgot to add: in the same time, they’ve also managed to create more bugs than they’ve fixed, thanks to AI.
Well, MacBook Pro or also Mac Studio. Pre shortage, you could spec out the Mac Studio with 512 GB of RAM, if you had stupidly deep pockets.
I know this, you know that I know this, you know that the OP knows this, and we all know this is not what they were talking about.
Are you perhaps a certain type of sea mammal?
Oh come on, you know what they meant. People might have voted for Labour, but not to have Burnham as PM. Nor Sunak, or Lettuce Lady.
Unfortunately AI doesn’t work like that. Any way to explain it would be an oversimplification but I can try.
The training data (songs) are used to create the weights. This is a bunch of numbers that are on their own meaningless - they don’t map to specific songs, but to attributes such as “tone” “rhythm”… And like that but many (millions of) abstract attributes that don’t make sense as people, but make sense to computers.
So if the thing makes a song that is very “rhythmic” but also “tonal”, there’s no specific training song that contributed to that - all did, and it’s a mess to decypher how much each contributed to each attribute. Except the resulting song doesn’t use two parameters, uses many millions, so it’s essentially impossible to know.
You can always slur your words and say something like “Kisten” quickly. As a non native English speaker I do this sort of thing more often than I’d like to admit, you get away with a surprising amount even when you’ve spoken the language for over 25 years. 😅
8bitdo comes to mind
This might perhaps be true in the land of XXL everything, but in the space it takes to have 3 cashiers you can easily install 2 rows of 4 self checkout machines, and in Europe space tends to be more scarce.
They are a massive space saver, and when that’s the space you have, 8 self-checkouts and a cashier have more throughput than 4 cashiers (which don’t even tend to be staffed all at once).
It was at the beginning, but lately it’s been hot garbage. I think they’ve nerfed it on purpose so that the migration to gemini is an easier sell.
For me, I’m happy it now understands “hey Google, how’s my timer?” As equivalent of “how long is left on my timer” and no longer answers that question with “it’s seven fifty two pm” 😡
Yes, but at the same time can we stop marketing as “self driving cars” normal cars with a somewhat sophisticated cruise control, like Teslas, and stop pretending their “super full self driving unsupervised for realsies plus plus” is a “self drive mode”?
Well, there’s nothing yet that even resembles a comparable replacement with a different architecture (RISC-V?). So even if they were angling for that, it would have to be at least 3 years away, plus if Intel and Power PC are anything to go by, there’s another 5 years until they drop support. So at a minimum, if someone buys a M-series laptop today, they can expect support for 8 years.
Not terrible, given how Microsoft left 3-year-old computers unsupported by surprise with the TPM requirement in Windows 11.
I never had that struggle because back when I was struggling to make relationships last, I didn’t know I had ADHD.
Luckily I met someone who could understand me and be patient with me like nobody ever had. And conversely, I understand him and I am patient with him like nobody has ever done. And the catch is what seems to be a common pattern for us ND folks - he’s neurodivergent as well, which is what made things about a million times easier.
Just like queer people have a “gaydar”, it’s useful to tune in to your inner ND-radar, which for me has become easier as I read and understand more not just about ADHD but Autism, for example.
For me this has totally made my relationships easier - not in terms of finding a prospective partner because that happened before I knew, but it can help adapt your communication with friends/coworkers/managers/customers/etc. When I know somebody is autistic, I am extra conscious to not use any sarcasm, double meanings, or rely on implied context. For neurotypicals, I try to go to the point and drip feed the context if and when needed. For ADHD people I am careful we don’t go down rabbit holes for too long, but I frontload the context for my request/topic so that their brain has the big picture to work with.
Trust me, statistically you’re far more likely than not to find good friendships and a loving partner - you just don’t have a neurotypical brain chemistry so don’t hold yourself to neurotypical timelines for that to happen.
But this is only because of execs’ stupidity.
For a simple task that AI can actually do, say a boring text processing task, the API calls don’t just cost less than my salary, they typically cost less than keeping the monitor on during the time it would take me to do it.
However when companies are stupid and decide to do things such as “tokenmaxxing” or leaderboards for who can waste more AI compute, you end up with things like calling multi-trillion models to do number calculations, or passing a 300k token context into every turn of the chat and giving it your entire codebase to change two lines of code.
This one I blame squarely on stupid CEOs and execs. The smaller version of Gemma 4 is low-powered enough that can run on phones, and can output usable results for many use cases.
Isn’t this from building data centres and renting them out to other companies (e.g. Anthropic) that have AI tools/models that have at least some utility?
No no, I fully agree they are necessary, I’m just making a different point. My point is about weight, not necessity.
I also believe that EVs are necessary, and they’re much heavier than ICE cars, because batteries are heavy. This comes with clear problems - for example, pedestrian safety. What annoys me the most is that because all in all EVs are a good thing (or better than the alternative), we’ve accepted that weight and nobody bats an eyelid at the idea of a 2-ton car when it’s in fact an abomination.
Bikes are not cars, thankfully, but 15 kg is not a light bike. It’s a light e-bike, but for it’s within 1960s standards for what a light “bike” should be. And if you’re a petite middle aged woman who carries her bike across 2 flights of stairs in the train station, being told that a 15-kg mountain bike is “light” is a bit of a middle finger.