People shouldn't really be walking around in public with ANC on. It's not safe. Not a simple problem to solve except maybe to inform people better upon buying/setting up ANC-enabled devices.
Why are they walking around with ANC, you think? Maybe the sound of traffic (cars). They're also the ones posing the danger to cyclists and pedestrians. The solution is simple.
or cyclists should have their own lanes, pedestrians shouldn't walk on them - and vice versa. and if you're stuck behind someone slow just overtake them when you can.
Safe or not - it is up to individual to decide if it is worth the risk.
I don't see how they can get "special treatment", the difference between someone who couldn't hear the bell because they cannot and someone who just wasn't paying enough attention to react in time isn't obvious without questioning them. Cyclists should simply learn to share shared infrastructure and be careful when passing people instead, because they can't know if that person is aware of them in time and going to react in a predictable way.
The sense of entitlement of cyclists knows no bounds. If cars are liable for running over cyclists then cyclists must be liable for running over pedestrians.
I used to live in a city where I would walk everywhere but I had the constant fear of cyclists running over me because they would drive all over the pavements without any regard for pedestrians. Imagine walking and having to look around all the time. I find it amusing how people in websites like this one talk about how we have to be very afraid of cars when the true terror, at least for me, were cyclists.
>>If cars are liable for running over cyclists then cyclists must be liable for running over pedestrians.
They are though(at least here in the UK) - a guy was convinced of manslaughter for hitting a pedestrian on a bike just last month. In general the rule is that the person in charge of a bigger/heavier vehicle is the responsible party in almost all collisions.
And when you must walk with your small dog on a section of road where suddenly high speed e-cyclists zoom past you, now that's constant terror. At times you really get killer ideas.
On the other hand, I hate it when I'm on my bike on a bike path, and someone walks their dog, leash fully extended across the bike path, they are looking down on their phone and wearing headphones. Absolute selfishness.
They aren't going away but for some they may become prohibitively expensive after all the subsidies end.
I do think coding with local agents will keep improving to a good level but if deep thinking cloud tokens become too expensive you'll reach the limits of what your local, limited agent can do much more quickly (i.e. be even less able to do more complex work as other replies mention).
> They aren't going away but for some they may become prohibitively expensive after all the subsidies end.
Even if inference was subsidized (afaik it isn't when paying through API calls, subscription plans indeed might have losses for heavy users, but that's how any subscription model typically work, it can still be profitable overall).
Models are still improving/getting cheaper, so that seems unlikely.
It probably is still subsidized, just not as much. We won't know if these APIs are profitable unless these companies go public, and till then it's safe to bet these APIs are underpriced to win the market share.
Third-party AI inference with open models is widely available and cheap. You're paying as much as proprietary mini-models or even less for something far more capable, and that without any subsidies (other than the underlying capex and expense for training the model itself).
Anthropic has shared that API inference has a ~60% margin. OpenAI's margin might be slightly lower since they price aggressively but I would be surprised if it was much different.
Yeah but the argument people make is that when the music stops cost of inference goes through the roof.
I could imagine that when the music stops, advancement of new frontier models slows or stops, but that doesn't remove any curent capabilities.
(And to be fair the way we duplicate efforts on building new frontier models looks indeed wasteful. Tho maybe we reach a point later where progress is no longer started from scratch)
There is no evidence for this. The claims that API is "profitable on inference" are all hearsay. Despite the fact that any AI executive could immediately dismiss the misconception by merely making a public statement beholden to SEC regulation, they don't.
> Models are still improving/getting cheaper
The diminishing returns have set in for quality, and for a while now that increased quality has come at the cost of massive increases in token burn, it's not getting cheaper.
Worse yet, we're in an energy crisis. Iran has threatened to strike critical oil infrastructure, and repairs would take years.
AI is going to get significantly more expensive, soon.
They posted previously on YN that they too were caught offguard. The 'tips' weren't specific to Raycast, they've been going on for a while and Raycast was just one product it decided to feature now.
I'm a people pleaser and am involved in too many things at work. Friday afternoon mid-sentence I realised I was putting like 5 monkeys on my back for something I'd get done before we start the sprint Monday morning...
Good article to reflect on. Tone is a bit crass maybe but a good read. Need to get better at helping (if I can) and then delegating, instead of defaulting to "let me look into it".
reply