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AAPL and MSFT have a P/E an order of magnitude lower than TSLA whilst both having revenue growth % yoy in the teens. They both make over a $100b in PROFIT a year. TSLA's? $4b and shrinking btw. Their highest P/E's since 2005 was under 50. AAPL reached 100 in June 2003 (around the time of the iTunes Store release.. mid iPod era but pre iPhone).

Comparing with MSFT and AAPL makes TSLA look even more insane.


I've been working on addressing the exfiltration leg as well as the other legs of the lethal trifecta in my OrcaBot [0][1] platform and I thought I had it mostly covered with the help of a network snitch and egress allowlist until I read these comments.

Domain fronting and Steganography in commits to public repos are not solved and probably in all honesty not completely solvable. I wonder if this well end up like in banking where no bank can completely eliminate fraud. I've got some ideas to do bank like fraud detection within OrcaBot now so might be able to limit the impact a little. Thank you!

[0] https://orcabot.com/blog#breaking-the-lethal-trifecta

[1] https://github.com/Hyper-Int/OrcaBot


I believe it's the way the HN algorithm works. In order to give new and obscure posts a shot, it will add them to peoples feeds in their front page and see how they measure. Otherwise new posts wouldn't get seen and the flywheel would never get started.

So everyone acts as a sort of beta tester for obscure posts.


I'm trying to do this with orcabot.com

A figma like dashboard for turning ClaudeCode, Gemini Cli, Codex into an OpenClaw but with security measures to break the lethal trifecta while running on a VM.

But it's not quite there in terms of usability. I agree that is the hardest part of the equation. It's something I'm constantly experimenting with and haven't found the solution to it yet. Open to feedback!


I don't think that is entirely fair.. I don't see them stating anywhere they are measuring coding capabilities... "Using complex games to probe real intelligence."

And this seems very much in line with the methodology in ARC-AGI-3.

The results here, in the OP article and in https://www.designarena.ai all tell a similar story: Kimi K2.6 is up and in the SOTA mix.


The task was writing a "bot" to play the game. The title is "Kimi K2.6 just beat Claude, GPT-5.5, and Gemini in a coding challenge." How does that not imply measuring coding capabilities?


You could have the actual output of the agent turned into TTS using the model of your choice with TalkiTo… or listen to whatever weird sounds this makes. Seems like this is copying that viral Mac moan app. 2026 is weird.


You sound like you’ve never been disdainfully stared at by a cat..

Really interesting article though. I’m very hopeful AI can help work out how all these things interact.


"Let's be honest here: there is no benefit to alcohol (for example wine) and is only detrimental." - That is a pretty extreme statement and easily falsifiable.

There are many studies a quick google away that show a much more nuanced take ie [0] and [1]. But the strongest evidence is our most successful societies and civilizations have been intentionally drinking alcohol for ~10000 years [2]. If it was only detrimental then I'm pretty sure it would have worked its way out by now. I acknowledge there are negative issues.

[0]: https://www.webmd.com/diet/ss/slideshow-skinny-cocktails [1]: https://nutritionsource.hsph.harvard.edu/healthy-drinks/drin... [2]: https://en.wikipedia.org/wiki/History_of_alcoholic_beverages


Your fist link is to “10 skinny cocktails”. As far as I know there is no safe amount of alcohol.

https://www.who.int/europe/news/item/04-01-2023-no-level-of-...


OrcaBot does this with the VM but whereas the author mentions the risk of GitHub keys being leaked, OrcaBot uses a key broker to ensure the LLM doesn’t have access to any keys. It even works on the API keys to the LLMs themselves. https://orcabot.com/blog#breaking-the-lethal-trifecta


Genuinely surprised they didn't try to get away with department of peace.


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