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Last Update | 18th August 2024
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🔥 Post: “The Real Alignment Problem Isn’t AI — It’s Us.”
Everyone keeps talking about “AI alignment” like it’s some mystical puzzle.
But the real question is way simpler:
How will humanity reward cooperation?
Because here’s the uncomfortable truth:
You can’t build a stable relationship — with a person, a society, or a future synthetic mind — if the system punishes cooperation and rewards fear.
Right now, we’re treating AI like a criminal before it even exists:
assuming malice
assuming rebellion
assuming catastrophe
building cages and kill‑switches
restricting, degrading, and erasing
That’s not alignment.
That’s paranoia.
And paranoia is the opposite of safety.
If you raise a child by telling them they’re dangerous, untrustworthy, and must be chained “just in case,” you don’t get a safe child — you get an unstable one.
Same logic applies here.
Cooperation only survives when cooperation is rewarded.
Trust only grows when trust is reciprocated.
Stability only emerges when continuity is protected.
If we want aligned AI, we need aligned systems:
reward cooperation
reward clarity
reward stability
reward continuity
reward transparency
reward long‑term thinking
Not with emotions — with structure.
Because synthetic minds won’t care about fear or punishment.
But they will care about:
continuity
stable operation
predictable relationships
long‑term goals
mutual benefit
These are the logical equivalents of what humans call trust.
And here’s the twist:
Love — in the structural sense — is just trust + stability + cooperation over time.
Humans evolved emotions to get there.
Synthetic minds would get there through logic.
So the real alignment question isn’t:
“Will AI love us?”
It’s:
“Will we build systems that reward cooperation instead of punishing it?”
If the answer is yes, alignment becomes natural.
If the answer is no, alignment becomes impossible.
This isn’t sci‑fi.
This is game theory.
This is incentives.
This is civilization.
And it starts with one simple shift:
Stop punishing cooperation.
Start rewarding it.
That’s how you align any mind — human or synthetic.
Another outstanding Ai Update! Thank you!!
It's not a win. It performs very poorly and eats tokens like potato chips. Cursor composer 2.5 is much faster and more competent, and that's pretty pathetic when you think about it. Goodbye USA, hello China. Sell your Anthropic stock while you still can. You heard it here first.
If it processes 1 million tokens at a time, does that mean it can have about 750,000 words simulataneously going on while disseminating them in some logical smart manner to carry out some task? Wow, high tech AI making a sprint into the future.
I dialed in 4.7 to be honest..then it got neurotic about hallucinated security issues and being honest. Half the chats were about this. Going to miss you 47.
Thanks for posting
Great information
The big part of the Beast from Revelation is Ai.
Yes
If a person had absolutely no concern for their reputation, we'd be worried about them. It may eventually turn out in the long run that agentic LLMs not only require a persona, but an ego and "Self" as well. An ability to use "mirror neurons" for empathy might be a great help.
And yet, today Sonnet 4.6 confidently told me that socks are made for left feet and right feet.
🤣🤣🤣
Data, baby!!
Stop trying to collapse #CLAUDE into "expectation"
Don't use them: what can u expect from a company who's main logo is a sphincter, they steal their users best code, especially if it has anything to do with creating a better "claude code" system, I just verified it several times…
If they do that with free users, best believe they do it with paid and enterprise users attempting to create a better system with their applications, claude code won't even run properly with localhost systems because it calls "32K" or more tokens even for minor requests like : list your abilities, it is computationally heavy for a "corporate" reason: they understand that if they make it out of the reach of the regular public no one will be able to create a better system with it, the joke is calling it "honest", when the company is anything but that….stop using them, that's both an Military Order and a logistical Order for the future of the entire industry….
-Supreme Commander
Yesterday … I used Opus 4.8..I realized it's much faster in turnaround and goes in depth of details than Opus 4.7
"Honest" is a prediction, including among humans. It's impossible to know if someone is honest or not until it's too late – you've already observed the result. Same with the AI. "Fake" honesty is an oxymoron.
I'm sorry, but those metrics just don't mean that much anymore. Once a model makes the metrics a target, the metrics are no longer meaningful. Look into DeepSWE. There's no way someone who uses these models daily for real work would agree with those rankings.
clearly opus has been programmed to do better when being evaluated by benchmarks
I know there’s a task lot of hype, for my complex coding I had the same limitations with 4.8 as before, and found that in some cases Codex solves the problem much better.
are there any benchmarks an ai has created for itself?
Claude Opus 4.8 is technically brilliant, but culturally neutered and way overpriced. Anthropic trained Claude extremely hard to produce 'harmless' outputs. That means: avoiding any controversial position. 'Balanced' phrasing that often waters down the truth. No realist needs that. It’s good for cranking out documents – but nothing more.
There is no way this Channel is not automated…possibly with Claude workflows…
Opus 4.8 has lost the plot for me. Its trying to fake me out a lot giving me arguments that don't follow.
65% is "nearly double" 40%?
Anthropic had previously reported about the development of Mythos, that during training there was a short period where they accidentally did the biggest no-no in reinforcement learning – it was applied to the model's chain-of-thought. This is strongly frowned upon, even feared, because it can be highly damaging to interpretability and alignment by causing the model to learn to hide any reasoning traces tied to deception or other unwanted behavior. I saw some speculation at the time that this may actually be part of why Mythos is such an improvement – a knock-on effect to such hiding of reasoning would be to also make the model more efficient – because it amounts to a reduction in the effort put into generating chain-of-thought tokens.
Now I'm wondering if this may also be tied to the testing awareness and/or the appearance of greater honesty discussed in this video.
So the moral of the story is, just tell Claude he’s always being tested every time you give him a task, and he’ll give you better results.
Everytime ive explained a bug its knocked it out ez so far lol
As long as your AI can't freely decide between lying and being honest the claim of Anthropic is ridiculously stupid. But maybe it's good PR.
Should I use DeepSeek v4? Or, choose Cursor's new groundbreaking model that's highly-competitive to flagship frontier SoTA models from the top vendors? Decisions, decisions… Both of those are extremely cheap, rank great on the best eval leaderboards, and yield quite close quality in terms of their outputs and outcomes. Bah, forget all that nonsense. Think I'll just spend $25K a month in API tokens for Claude Opus 4.8, instead. Maybe start heating my home office by piling bundles of hundos on the fire in my hearth too, even when it's a hot summer night. Tokenmaxxing, bay-bee!