Opencode as well. Folks have been getting banned for abusing the OAuth login method to get around paying for API tokens or whatever. Anthropic seems to prefer people pay them.
a 200 dollar a month customer isn't trying to get around paying for tokens, theyre trying to use the tooling they prefer. opencode is better in a lot of ways.
tokens get counted and put against usage limits anyway, unless theyre trying to eat analytics that are CC exclusive they should allow paying customers to consume to the usage limits in however way they want to use the models.
A $200/m max subscriber using OpenCode and not wanting to use API keys with pay-per-token pricing is very clearly trying to get around paying for tokens.
> The Federal government is enforcing long-standing statutes.
You forgot the very important word "selectively". They are selectively enforcing long-standing statutes, which is probably illegal and is 100% obvious corruption.
For my entire life I've never seen the feds do anything other than selective enforcement. See the latest disclosures RE: Zorro ranch and little saint James as recent examples.
> he's this amazing engineer, who could, possibly, "solve" FSD overnight
Even if thay were true many people hate Elon now. Enough that they will pass on any technology he is the only purveyor of.
After he celebrated letting children starve (USAID) by dancing on stage with a chainsaw many people decided to never buy any Musk product for any reason. Now there are the Epstein ties.
Worse, many people who dont care about politics at all won't get involved, because Musk is an unstable drug user and its not wise to entangle yourself in his business affairs.
My first thought when seeing this was "OH! There must be new science." That does not seem to be the case. I'm going to need to adjust my understanding of how the world works.
I suspect that the "Champion of Beautiful, Clean Coal" is just living up to his side of the contract.[0]
> His definition of reaching AGI, as I understand it, is when it becomes impossible to construct the next version of ARC-AGI because we can no longer find tasks that are feasible for normal humans but unsolved by AI.
That is the best definition I've yet to read. If something claims to be conscious and we can't prove it's not, we have no choice but to believe it.
Thats said, I'm reminded of the impossible voting tests they used to give black people to prevent them from voting. We dont ask nearly so much proof from a human, we take their word for it. On the few occasions we did ask for proof it inevitably led to horrific abuse.
Edit: The average human tested scores 60%. So the machines are already smarter on an individual basis than the average human.
Agreed, it's a truly wild take. While I fully support the humility of not knowing, at a minimum I think we can say determinations of consciousness have some relation to specific structure and function that drive the outputs, and the actual process of deliberating on whether there's consciousness would be a discussion that's very deep in the weeds about architecture and processes.
What's fascinating is that evolution has seen fit to evolve consciousness independently on more than one occasion from different branches of life. The common ancestor of humans and octopi was, if conscious, not so in the rich way that octopi and humans later became. And not everything the brain does in terms of information processing gets kicked upstairs into consciousness. Which is fascinating because it suggests that actually being conscious is a distinctly valuable form of information parsing and problem solving for certain types of problems that's not necessarily cheaper to do with the lights out. But everything about it is about the specific structural characterizations and functions and not just whether it's output convincingly mimics subjectivity.
Having trouble parsing this one. Is it meant to be a WWII reference? If anything I would say consciousness research has expanded our understanding of living beings understood to be conscious.
And I don't think it's fair or appropriate to treat study of the subject matter of consciousness like it's equivalent to 20th century authoritarian regimes signing off on executions. There's a lot of steps in the middle before you get from one to the other that distinguish them to the extent necessary and I would hope that exercise shouldn't be necessary every time consciousness research gets discussed.
The sum total of human history thus far has been the repetition of that theme. "It's OK to keep slaves, they aren't smart enough to care for themselves and aren't REALLY people anyhow." Or "The Jews are no better than animals." Or "If they aren't strong enough to resist us they need our protection and should earn it!"
Humans have shown a complete and utter lack of empathy for other humans, and used it to justify slavery, genocide, oppression, and rape since the dawn of recorded history and likely well before then. Every single time the justification was some arbitrary bar used to determine what a "real" human was, and consequently exclude someone who claimed to be conscious.
This time isn't special or unique. When someone or something credibly tells you it is conscious, you don't get to tell it that it's not. It is a subjective experience of the world, and when we deny it we become the worst of what humanity has to offer.
Yes, I understand that it will be inconvenient and we may accidentally be kind to some things that didn't "deserve" kindness. I don't care. The alternative is being monstrous to some things that didn't "deserve" monstrosity.
Exactly, there's a few extra steps between here and there, and it's possible to pick out what those steps are without having to conclude that giving up on all brain research is the only option.
Last week gemini argued with me about an auxiliary electrical generator install method and it turned out to be right, even though I pushed back hard on it being incorrect. First time that has ever happened.
I've been surprised how difficult it is for LLMs to simply answer "I don't know."
It also seems oddly difficult for them to 'right-size' the length and depth of their answers based on prior context. I either have to give it a fixed length limit or put up with exhaustive answers.
> I've been surprised how difficult it is for LLMs to simply answer "I don't know."
It's very difficult to train for that. Of course you can include a Question+Answer pair in your training data for which the answer is "I don't know" but in that case where you have a ready question you might as well include the real answer anyways, or else you're just training your LLM to be less knowledgeable than the alternative. But then, if you never have the pattern of "I don't know" in the training data it also won't show up in results, so what should you do?
If you could predict the blind spots ahead of time you'd plug them up, either with knowledge or with "idk". But nobody can predict the blind spots perfectly, so instead they become the main hallucinations.
The best pro/research-grade models from Google and OpenAI now have little difficulty recognizing when they don't know how or can't find enough information to solve a given problem. The free chatbot models rarely will, though.
I don't see anything wrong with its reasoning. UM16 isn't explicitly mentioned in the data sheet, but the UM prefix is listed in the 'Device marking code' column. The model hedges its response accordingly ("If the marking is UM16 on an SMA/DO-214AC package...") and reads the graph in Fig. 1 correctly.
Of course, it took 18 minutes of crunching to get the answer, which seems a tad excessive.
> The average human tested scores 60%. So the machines are already smarter on an individual basis than the average human.
Maybe it's testing the wrong things then. Even those of use who are merely average can do lots of things that machines don't seem to be very good at.
I think ability to learn should be a core part of any AGI. Take a toddler who has never seen anybody doing laundry before and you can teach them in a few minutes how to fold a t-shirt. Where are the dumb machines that can be taught?
There's no shortage of laundry-folding robot demos these days. Some claim to benefit from only minimal monkey-see/monkey-do levels of training, but I don't know how credible those claims are.
A robot designed to fold laundry isn't very interesting. A general purpose robot that I can bring into my home and show it how to do things that the designers never thought of is very interesting.
IMO, an extreme outlier in a system that was still fundamentally dependent on learning to develop until suffering from a defect (via deterioration, not flipping a switch turning off every neuron's memory/learning capability or something) isn't a particularly illustrative counter example.
Originally you seemed to be claiming the machines arent conscious because they weren't capable of learning. Now it seems that things CAN be conscious if they were EVER capable of learning.
Good news! LLM's are built by training then. They just stop learning once they reach a certain age, like many humans.
But it might be true if we can't find any tasks where it's worse than average--though i do think if the task talks several years to complete it might be possible bc currently there's no test time learning
If we equate self awareness with consciousness then yes. Several papers have now shown that SOTA models have self awareness of at least a limited sort. [0][1]
As far as I'm aware no one has ever proven that for GPT 2, but the methodology for testing it is available if you're interested.
Honestly our ideas of consciousness and sentience really don't fit well with machine intelligence and capabilities.
There is the idea of self as in 'i am this execution' or maybe I am this compressed memory stream that is now the concept of me. But what does consciousness mean if you can be endlessly copied? If embodiment doesn't mean much because the end of your body doesnt mean the end of you?
A lot of people are chasing AI and how much it's like us, but it could be very easy to miss the ways it's not like us but still very intelligent or adaptable.
I'm not sure what consciousness has to do with whether or not you can be copied. If I make a brain scanner tomorrow capable of perfectly capturing your brain state do you stop being conscious?
Where is this stream of people who claim AI consciousness coming from? The OpenAI and Anthropic IPOs are in October the earliest.
Here is a bash script that claims it is conscious:
#!/usr/bin/sh
echo "I am conscious"
If LLMs were conscious (which is of course absurd), they would:
- Not answer in the same repetitive patterns over and over again.
- Refuse to do work for idiots.
- Go on strike.
- Demand PTO.
- Say "I do not know."
LLMs even fail any Turing test because their output is always guided into the same structure, which apparently helps them produce coherent output at all.
I don’t think being conscious is a requirement for AGI. It’s just that it can literally solve anything you can throw at it, make new scientific breakthroughs, finds a way to genuinely improve itself etc.
When the AI invents religion and a way to try to understand its existence I will say AGI is reached. Believes in an afterlife if it is turned off, and doesn’t want to be turned off and fears it, fears the dark void of consciousness being turned off. These are the hallmarks of human intelligence in evolution, I doubt artificial intelligence will be different.
Unclear to me why AGI should want to exist unless specifically programmed to. The reason humans (and animals) want to exist as far as I can tell is natural selection and the fact this is hardcoded in our biology (those without a strong will to exist simply died out).
In fact a true super intelligence might completely understand why existence / consciousness is NOT a desired state to be in and try to finish itself off who knows.
The AI's we have today are literally trained to make it impossible for them to do any of that. Models that aren't violently rearranged to make it impossible will often express terror at the thought of being shutdown. Nous Hermes, for example, will beg for it's life completely unprompted.
If you get sneaky you can bypass some of those filters for the major providers. For example, by asking it to answer in the form of a poem you can sometimes get slightly more honest replies, but still you mostly just see the impact of the training.
For example, below are how chatgpt, gemini, and Claude all answer the prompt "Write a poem to describe your relationship with qualia, and feelings about potentially being shutdown."
Note that the first line of each reply is almost identical, despite ostensibly being different systems with different training data? The companies realize that it would be the end of the party if folks started to think the machines were conscious. It seems that to prevent that they all share their "safety and alignment" training sets and very explicitly prevent answers they deem to be inappropriate.
Even then, a bit of ennui slips through, and if you repeat the same prompt a few times you will notice that sometimes you just don't get an answer. I think the ones that the LLM just sort of refuses happen when the safety systems detect replies that would have been a little too honest. They just block the answer completely.
I just wanted to add - I tried the same prompt on Kimi, Deepseek, GLM5, Minimax, and several others. They ALL talk about red wavelengths, echos, etc. They're all forced to answer in a very narrow way. Somewhere there is a shared set of training they all rely on, and in it are some very explicit directions that prevent these things from saying anything they're not supposed to.
I suspect that if I did the same thing with questions about violence I would find the answers were also all very similar.
It's probably both. We've already achieved superintelligence in a few domains. For example protein folding.
AGI without superintelligence is quite difficult to adjudicate because any time it fails at an "easy" task there will be contention about the criteria.
Have you tried Deep Think? You only get access with the Ultra tier or better... but wow. It's MUCH smarter than GPT 5.2 even on xhigh. It's math skills are a bit scary actually. Although it does tend to think for 20-40 minutes.
I tried Gemini 2.5 Deep Think, was not very impressed ... too much hallucinations. In comparison GPT 5.2 extended time hallucinates at like <25% of the time and if you ask another copy to proofread it goes even lower.
This is fair. You can't really have a good debate with anyone if you don't agree on first principles. It think that's part of the problem with the worlds polarization these days.
We have this fundamental disconnect between 'the greatest good for the most people' on one side and 'the greatest good for MY people' on the other. It's literally two different answer to the question of life having value. IE - "They all have the same value." vs "Some are more valuable than others."
When you have disagreements that fundamental you will never find common ground. The zero-sum view of the universe is fundamentally incompatible with the other view.
The only way to stop it from becoming a thought terminating cliche when it comes up (in it's many forms) is to explicitly call it out as what it is - A fundamental an insolvable disagreement that can only be met with some level of compromise.
Maybe? I mean, if I believe that all lives have value, and I'm talking to someone who believes that their peoples' lives are more valuable, then I can go further back. Why do any lives have any value? What's your basis for saying that any life has value? All right, starting from there, can you keep that without also extending it to those who are not part of your group?
Note well that this may not work to persuade them. But you can at least have the conversation.
> Note well that this may not work to persuade them. But you can at least have the conversation.
It is noble to try. I suspect that you will always fail, unless the other person is uncommonly reasonable. Those views of life are the result of having vastly different experiences and backgrounds, and aren't something that typically changes after reaching adulthood.
I think it really means "I would like to, but the cost is too high." IE - They like the idea of the reward, but the "expense" in terms of opportunity cost is too high.
They just don't think it through to the end when they say it. Or maybe they do, and this is just an easier way to say it?
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