I think it's very cynical to say that this is a misuse. And it's definitely cynical when this categorization of misuse comes from the service provider itself. If openai doesn't want to allow misuse, they can just decommision their service. But they don't want to do that, they just want to take the money and push all the responsibility and burden on the users even though they are actively engaging in said "misuse"
Odd, works for me. Maybe problems from the HN hug?
It probably doesn't have the information anyone wants though, as it's the tutorial to activate your device GC Electronics device to report to the site.
I cannot image what if Tesla has a similar vulnerability issue, and someone took over all of its vehicles.. Or maybe someone is already able to do that, and just waiting.
Why only mention Tesla when the market for EVs is getting quite broad? How about Hyundai, VW, one of the many Stellantis brands, Lynk, BYD, XPeng, Xiaomi or any of the others?
I think Tesla would still be a different beast given how much 1) they are constantly touted for having the best software on the market and 2) being frequently promoted as being „basically ready for self driving, its just a regulatory issue“.
Companies like VW have had their somewhat embarassing issues in the not so distant past, but nobody I know likes (or valuates their stocks) based on their software capabilities
Owning a Tesla myself, I think the mention is valid since it's the only brand I know of with a decent share of people regularly letting the car drive itself. I am not aware of any other brand being in that same situation
My one big problem with OpenRouter is that, as far as I can tell, they don't provide any indication of how many companies are using each model.
For all I know there are a couple of enormous whales on there who, should they decide to switch from one model to another, will instantly impact those overall ratings.
I'd love to have a bit more transparency about volume so I can tell if that's what is happening or not.
Right, that chart shows App usage based on the user-agent header but doesn't tell you if there is a single individual user of an app that skews the results.
I was skewing the Gemini starts with my Aider usage. Basically the only model in using with openrouter, until I recently started running qwen3-next locally.
2.5 is probably the best balance for tools like Aider.
API usage of Flash 2.0 is free, at least till you hit a very generous bound. It's not simply a trial period. You don't even need to register any payment details to get an API key. This might be a reason for its popularity. AFAIK only some Mistral offerings have a similar free tier?
Yeah, that's my use case. When you want to test some program / script that utilizes an llm in the middle and you just want to make sure everything non-llm related is working. It's free! just try again and again till it "compiles" and then switch to 2.5
2.0 Flash is significantly cheaper than 2.5 Flash, and is/was better than 2.5-Flash-Lite before this latest update. It's a great workhorse model for basic text parsing/summary/image understanding etc. Though looks like 2.5-Flash-Lite will make it redundant.
Yep Kilo (and Cline/Roo more recently) push these free trial of the week models really hard, partially as incentive to register an account with their cloud offering. I began using Cline and Roo before "cloud" features were even a thing and still haven't bothered to register, but I do play with the free Kilo models when I see them since I'm already signed in (they got me with some kind of register and spend $5 to get $X model credits deal) and hey, it's free (I really don't care about my random personal projects being used for training).
If xAI in particular is in the mood to light cash on fire promoting their new model, you'll see it everywhere during the promo period, so not surprised that heavily boosts xAI stats. The mystery codename models of the week are a bit easier to miss.
It's pretty good and fast af. At backend stuff is ~ gpt5-mini in capabilities, writes ok code, and works good with agentic extensions like roo/kilo. My colleagues said it handles frontend creation so-so, but it's so fast that you can "roll" a couple of tries and choose the one you want.
Yeah, the speed and price are why I use it. I find that any LLM is garbage at writing code unless it gets constant high-entropy feedback (e.g. an MCP tool reporting lint errors, a test, etc.) and the quality of the final code depends a lot more on how well the LLM was guided than the quality of the model.
A bad model with good automated tooling and prompts will beat a good model without them, and if your goal is to build good tooling and prompts you need a tighter iteration loop.
This is so far off my experience. Grok 4 fast is straight trash, it literally isn’t even close to decent code for what I tried. Meanwhile Sonnet is miles better - but even still, Opus while I guess technically being only slightly better, in practice is so much better that I find it hard to use Sonnet at all.
I mean, I can kinda roll through a lot of iterations with this model without worrying about any AI limits.
Y'know with all these latest models, the lines are kinda blurry actually. The definition of "good" is being foggy.
So it might as well be free as the definition of money is clear as crystal.
I also used it for some time to test on something really really niche like building telegram bot in cloudflare workers and grok-4-fast was kinda decent on that for the most part actually. So that's nice.
> I remember a company saying its most effective ads were search ads for their own name
I don't have the full context, but this is almost a tautology. Of course you get the highest click-through-rate and highest conversion for searches that are your own name. You usually also get a relatively cheap bid, because most search engines prefer to prioritize relevant results, and you will be very relevant for your own name. But you would have gotten most of those clicks and conversion _for free_ even if you didn't advertise on your name, because the searcher would see your organic result. Advertising on your own name is defensive, not offensive -- you protect customers that are already yours, you don't get new ones.
source: I run marketing for a small business, we advertise on our own name too, and of course it is also the most effective if you calculate it naively.
And China makes all of our stuff. Instead of putting tariffs on solar from China, we should have dropped a trillion dollars on it and put it everywhere.
Before you drop a trillion dollars, you do a cost benefit analysis and you factor for switching costs, the unique geography and population distribution of the U.S. the expected lifespan of solar panels, the battery install capacity necessary to facilitate nighttime and 100 to 1000 year weather event emergencies, the capacity to keep the grid online in the event of a world war, the cost to install HV lines to transport from solar hubs, etc.
You don't dogmatically order $1 trillion of something and sacrifice a functional independent, diverse, weather resilient, geographically distributed energy grid thats served the nation that invented the light bulb for over 125 years, because you read a clickbait headline about China.
> the capacity to keep the grid online in the event of a world war
If I'm learning anything from Russia, its that fossil fuel plants are hella vulnerable in a war. Solar would be much safer.
Fossil Fuel Plant: Knock out the right machine or building and you knock out the plant. The plant is literally storing explosives. The plant must be resupplied which leaves supply trucks/boats/pipelines vulnerable.
Solar: Distributed over a large area. Made of many independent complete power-generating devices so if you knock out 5% of them, all you've accomplished is reducing power output by 5%. Does not need a constant flow of supplies.
Per capita is a better metric but it's worth noting that China is world's factory - it's easy to reduce emissions if you offshore a lot of your production elsewhere...
But at the same time, IIRC, several major AI providers had publicly reported their AI assisting patients in diagnosing rare diseases.