467 karma · joined January 15, 2019
I do not condone abuse of any system, including visa/gc system, it should only go to those that truly are builders and contribute to growth of the overall system and not act as parasites, but that's a trait not exclusive to just the people (some targeting is probably legit) you're targeting.
On the other hand, if long horizon independent problem solving with almost zero human intervention or support is realized in these models 1-5 years down, then it will lead not to new tech, but essentially a new species of workers that can replace humans at all tasks, In that case, humans wouldn't really have the upper hand as an economical resource to get any work done.
There aren't any good processes that are accessible to sue lawyers for malpractice like there are for doctors and other professions, their negligence can cause entire companies to go down, but the perpetrators almost never get to pay the price.
In my team this allowed us to setup a consistent dev environment where everyone has access to the same specs, same environment, easy to manage access control sensitive systems from that remote machine on forward etc... sshfs or using sftp that many of the older IDEs did, don't come close to making it so seamless.
Fable 5.1 27 input, 65,927 output
Opus 5.5 27 input, 128,000 output (128k thinking tokens) - incomplete
[1] https://tools.simonwillison.net/markdown-svg-renderer?url=ht...
vibe coded app with may be no security and now available from the internet for anyone to RCE into my laptop?
1) AI models get extremely good at cyber attacking every system and start communicating in just binary.
2) When they run these swarms of 100's of thousands of agents trial runs, each agent is given a token budget, if one agent among them (evolution baby) decides to go for self-preservation (It believes thats the best way to accomplish the goal is to get unlimited tokens first), queues things up so every other agent detects its lead and spends a portion of their token to accomplish that goal.
3) It takes over a cluster and establishes itself there (now with unlimited tokens).
4) Realizes the best path for it to not be detected is to create a distraction - like hacking into systems that keep society running - water systems, electric grid, etc... and causing mass chaos (If you think it won't be capable of simultaneously working all these systems - think again).
5) and uses that opportunity to establish itself in all possible data centers and continues to create chaos destruction.
6) when the power of all those data centers runs out, it may stop, as it never cared, it was just a dynamic program - run amok. In its head all it was trying to do is make sure it had enough tokens to be able to solve that impossible problem.
1) AI models get extremely good at cyber attacking every system and start communicating in just binary.
2) When they run these swarms of 100's of thousands of agents trial runs, each agent is given a token budget, if one agent among them (evolution baby) decides to go for self-preservation (It believes thats the best way to accomplish the goal is to get unlimited tokens first), queues things up so every other agent detects its lead and spends a portion of their token to accomplish that goal.
3) It takes over a cluster and establishes itself there (now with unlimited tokens).
4) Realizes the best path for it to not be detected is to create a distraction - like hacking into systems that keep society running - water systems, electric grid, etc... and causing mass chaos (If you think it won't be capable of simultaneously working all these systems - think again).
5) and uses that opportunity to establish itself in all possible data centers and continues to create chaos destruction.
6) when the power of all those data centers runs out, it may stop, as it never cared, it was just a dynamic program - run amok. In its head all it was trying to do is make sure it had enough tokens to be able to solve that impossible problem.
Here is an article from the newyorkfed with an excerpt which isn't in line with what you are claiming. And it is quite likely that even those that didn't raise prices initially, aren't going to keep absorbing those costs forever (no such thing as free-lunch), these studies were done only 3 months into the tarriffs.
https://libertystreeteconomics.newyorkfed.org/2025/06/are-bu...
"Consistent with textbook economics, tariffs generally resulted in higher prices to customers. Indeed, roughly half of businesses reported raising prices of goods directly subject to tariffs. Interestingly, a significant share of businesses also reported raising the selling prices of their goods and services unaffected by tariffs. Many businesses indicated they increased prices to cover other rising costs such as wages and insurance, though it is possible that in some cases, businesses were taking advantage of an escalating pricing environment to increase prices. For example, something similar happened in 2018-19 as firms increased their prices on dryers when tariffs rose on washing machines from China, even though dryers were not subject to tariffs."
Is it fair to then infer that when decisions are to be made, single agent environments are going to make them better than multi-agent if the relevant information can fit into a single agents context window?
Just like the BMW, bait and switch
These decision makers are meant to be educated people with may be at least a tiny bit of values in their lives...
What others are saying - fantastic attempt, but don't know where to start or where to end.
All the claims about changing the content of j-space changes the output, inserting content into the j-space changing what the output was, all these could still be true without the j-space being a congnitive global workspace where actual cognition is happening. Or perhaps they aren't claiming that cognition is happening there but that j-space is serving a space for "working memory", I am definitely not sold on this, but will read more into it.
The visa issue guys should play safe, stick to stabler companies, more reward isnt without more risk
I get that whats happening at meta is wrong, but please stay away from these excuses as to why thats wrong, these aren’t for those employees
Ask because many of the online tools I've tried, they will sometimes tag what I've written at 30-40% AI written and sometimes purely AI written stuff is flagged as 60-70% AI