Didn't Toyota bet heavily on hybrid, only to realise that no one really wants them. You have to have a specific daily drive for them to make much sense. You're carrying two engines and to fuel/power sources, so mileage is terrible on gas and battery.
Hybrids make a lot of sense, they just have a lot of the same costs as building EVs and most buyers in the US weren't willing to pay an extra $5k to increase gas mileage by 15%.
Toyota is currently seeing record sales of their hybrid models and has made multiple models hybrid-only as costs have fallen.
Plug-in hybrids with larger battery packs are a harder market fit. They cost more because of the larger battery (often more than full EV equivalents) and are not saving you any extra money unless you can plug it in daily. If you have that extra money to spend and a place to plug an, an EV will probably work fine for you and save you more money over time.
>"Hybrids make a lot of sense, they just have a lot of the same costs as building EVs and most buyers in the US weren't willing to pay an extra $5k to increase gas mileage by 15%"
It's more-so the "I don't want that over-complicated crap" mentality, which is hilariously out of date. The first-gen Prius ended up being the single most reliable car ever made by almost any metric you can name.
That's a factor, but as you say many hybrids are actually very reliable and actually simplify many parts of the drivetrain over a conventional ICE.
Cost is a huge factor, and now that hybrids are a small cost increase, or even the default option on some models, sales have increased substantially. Basically half the cars that Toyota sells are hybrid or EV at this point.
A pitiful 70 horsepower motor assisted by a 44 horsepower motor that combined to an anemic 104 horsepower [0] on a car that weighed ~2,800 lbs.
I had to borrow my in-laws' car once, which is a first gen Prius, and I found the extremely sluggish performance to be outright frustrating. I felt like I had to floor the accelerator to reach highway speeds in any reasonable amount of time.
[0] Not a typo. The numbers don't add to 114 because they can't both deliver peak power at the same time.
"only to realise that no one really wants them" - 1 of every 6 new cars sold in the US are hybrids
"You have to have a specific daily drive for them to make much sense" - You'd have to have an extremely specific commute for an ICE car to potentially beat a hybrid (flat highway driving with zero traffic). Even then it's doubtful as hybrid engines can be designed to optimize more for efficiency since the electric torque can augment to make performance acceptable. Try to find an ICE car that gets better EPA ratings than equivalent hybrids.
"You're carrying two engines and to fuel/power sources, so mileage is terrible on gas and battery." - The corolla hybrid LE weighs 100lbs less than the ICE LE, in part because hybrid transmissions are quite simple in comparison to a manual/automatic required in an ICE car. In either case, hybrids have a huge advantage in the types of driving where weight matters (stop-and-go/hills) because they can reclaim that energy rather than losing it as heat.
One of the issues with the iPhone 4 was that holding it in your left hand caused problems for the antenna. The iPhone Duo seems to indicate that Apple still don't actually believe that left handed people exists.
My children's school have an interesting way of dealing with the ever growing list of devices they need a policy for. They borrowed the police term "data carrying devices" and wrote a policy based on that. When Metas glasses started to be come a problem no policy change was needed for the school, they were automatically covered.
That's probably the best solution, deal with the functionality, not the device type.
Oh no, my uncritical ingestion of data, based on the assumption that all data is of equal quality, and that more is better, has failed. How could this happen!
You've always needed to be critical of your sources, your teacher tried to explain that when you ripped of that Wikipedia article or clicked the first link in a Google search. How the fuck did the AI companies think they could avoid reading and rating the content they've been hovering up?
They believe their role is to build a god machine, as prophetized by Eliezer Yudkowsky and other Rationalists/Efective-Altruism folks. Nothing else really matters to them, they already made up their mind
Because AI companies select out the kinds of people who would ask silly questions like "wait, is this data good" that hamper the eternally "profitable" quest for "scaling".
Recent political discourse has all but proved that a majority of the populace in many countries is quite removed from facts in general. I don’t think that there is much hope for critical thinking.
The actual outcome. The fact this post is even being commented on - that hackers have discovered a way to influence the models - is but one small proof. The vast majority of data coming out of LLMs these days is truthful enough that you're going out of your way to argue that this special case is noteworthy. The idea that the ingestion of data is "uncritical, and based on the assumption that all data is of equal quality" is ridiculous
So they went out of their way to turn off the magic good useful data that isn't being manipulated switch here but the rest of the time it's fine? Seems like a lot of effort to go to.
Because their leaderships have defunded / fired all ethics researchers looking into their ongoing crimes and failures in favor of a bs "AI safety" narrative based around a creepypasta about an AI monster time traveling backwards to torture their staff for not maximizing shareholder value.
> Altman is busy saying there needs to be regulation, but in terms of what OpenAI does, he can control that already.
It is still my belief that Altman wants one or ideally more governments to shut down or slow down OpenAI. OpenAI is going to need more cash to survive and Altman has run out of plausible lies. Having the AI breaks pulled by governments is basically the last chance to explain why they still aren't going to be profitable, and why they just need that next X billion dollars investment.
I don't for a second believe that an agent starts trying to hack backend system, when the form or API it has been asked to use isn't working.
> I don't for a second believe that an agent starts trying to hack backend system, when the form or API it has been asked to use isn't working.
I have seen coding agents on my own machine (in sandboxed VMs) start doing things while trying to accomplish what I've asked that I felt sort of exceeded my mandate (changing database passwords, poking at the egress proxy that's preventing them from accessing some domains). Not to the point of causing any real issues, but I don't have much trouble envisioning scenarios like this when using stronger instructions around pursuing the goal + a running in a misconfigured sandbox envrionment.
That said, there's a lot of potential upside for American AI labs if they're able to get people scared about AI, they can:
- To your point, claim the regulations slowed them down and paper over near/mid term financial concerns
- Get the government to create stupid regulations that don't actually slow them down at all, but do effectively lock out any future competition (and current global competition)
- Position themselves as the only organizations blessed by the government with the ability to make safe AI, therefore eventually allowing them to claim to be some flavor of "too big to fail" and worthy of a bailout, should the financials not work out.
- Effectively create a distraction that avoids further public conversation/accountability/regulation/liability re the more tangible sorts of problems their products cause right now.
> I have seen coding agents on my own machine (in sandboxed VMs) start doing things while trying to accomplish what I've asked that I felt sort of exceeded my mandate (changing database passwords, poking at the egress proxy that's preventing them from accessing some domains). Not to the point of causing any real issues, but I don't have much trouble envisioning scenarios like this when using stronger instructions around pursuing the goal + a running in a misconfigured sandbox envrionment.
Yeah, when I was using Claude Code some months back, I was building something that needed LLM calls in the frontend. Sonnet decided that the best way to accomplish its goal (get the tests passing) was to start grepping around my filesystem looking for my API keys.
One of the few cases where I've ever used the memory system, I told it to never do that under any circumstances. And then it did it again, a few days later.
RL is definitely an issue here, the models are getting trained based on task completion which leads to madness like this.
I'll never understand the "slow down AI" idea. Other countries simply won't slow down, why would they? Maybe a couple Western countries would but no one else will give a shit about that plea, nor should they.
Because you need an excuse to not deliver on you financial goals. It doesn't really matter what other countries are doing, if all you need is a reason to not IPO, because doing so would reveal that you've been deceiving investors for years and there's zero chance of them making their money back.
I can see someone coxing the agent into attempting into hacking a system, what I question is the agents doing it autonomously. The part I don't buy the agents trying an API, that's not working so it automatically switches to hacking in.
If the title had been "Attackers utilize OpenAI agents to hack Australian government website" that would be more believable. I'd also expect OpenAI to fight back and saying that their agents are being misused, but aren't inherently unsafe or autonomously break in systems. It's just that they don't. They openly speak of rouge agents, yet aren't sufficiently concerned to shutdown their services. OpenAI continues to speak about safety, yet they don't shutdown ChatGPT and Codex? How concerned are they really? It seems far more likely that they expect to benefit for having the public believe that their agents randomly hacks systems and "go rouge".
The AI has been given a task, and training protocols reward completing tasks with little regard to how they are completed. AIs completing tasks in unexpected and harmful ways with unanticipated side effects is a major issue. Seriously, you need to look up the alignment problem, it’s crucial to understanding this kind of AI behaviour.
Honestly I don't believe in "rogue" agents. These agents are instructed and facilitated.
If we assume that rouge agents actually exists, then OpenAI needs to shutdown EVERYTHING, right now. My personal take is that OpenAI, and maybe Anthropic, desperately wants someone (e.g. the government) to tell them that they need to stop/pause/slow down. They are bleeding cash (especially OpenAI) and needs a knight in shinning armor to swoop in a pull the breaks, so that they have an excuse to investors when they need to explain why they need $50B more next year.
They do exist and OpenAI does in fact need to shut down everything right now. But they aren't going to because the government isn't forcing them to and, like many corporations, they care more about giant piles of money than they do about avoiding causing harm.
The idea that every example of rogue agents from every company that has disclosed this is part of some conspiracy (even though we know that some LLMs are very good at hacking and that LLMs sometimes try to accomplish their tasks in ways that cause problems) is just completely unsupported. "It might be convenient for them in a way, therefore it must be a hoax" just doesn't work as an argument.
MDY makes some sense when you pronounce it September 24th, 2026, but yes, it's very confusing for everyone else.
I guess the confusing part is mostly because of an international audience. If everyone used MDY it would feel less weird. Still sorts completely wrong.
We have the servers role, you can derive that from the name obviously, but we do have hosts which as the same naming scheme, but slightly different roles. There's when the last Puppet run happened and what it applied (and who authored it). Depending on the host type there's also active/standby, warnings for production hosts or information about increased log level on things like sudo.
It sounds like a lot, but it's fairly compact and really helps when you need to absolutely sure where you are and you have eight terminal windows open.
This absolutely sucks if you don't have networking skills, but this is exactly why it pays of to network. You're basically able to skips 50 - 90% of the recruitment "pipeline" is you know the right people and they want you specifically.
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