At my kids school the children have been using grok to create pics of other children without clothes on - chatgpt etc won’t let you do that - grok needs some controls and x seem unable to do that themselves.
In such a case specifically: Uncover internal communication that shows the company was aware of the problem and ignored it, which presumably affects liability a lot.
Have you seen some of the stuff in the Enron or Epstein emails? They can be rather candid and act as if there is nothing to hide or they will never get caught
Do you think they communicate via paper? Raiding office doesn't automatically gives them access to mail/slack etc. And internal comms could be asked for without the nuclear option of raiding the office
Companies are required by law to enable persistence. And in any case if we assume malice how would the police even get access to all emails by raiding if the message and mails are stored in cloud.
AFAIK police can just ask google/slack for the mails with proper warrant.
This is the cyber crime unit. They will exfiltrate any data they want. They will use employee account to pivot into the rest of the X network. They don't just go in, grab a couple of papers, laptops and phones. They hook into the network and begin cracking.
As an example I wanted a plugin for visual studio. In the past I would have spent hours on it or just not bothered but I used Claude code to write it, it isn’t beautiful or interesting code, it lacks tests but it works and saves me time. It isn’t worth anything, won’t ever be deployed into production, I’ll likely share it but won’t try to monetise it, it is boring ugly code but more than good enough for its purpose.
Writing little utility apps has never been simpler and these are probably 90% cheaper
A plugin that does what exactly? A lot of comments here and under other posts are just declaring things with the following template: "I wanted to do X, but before it would took me N amount of hours, but now with LLM tool L, it has taken me way less time. I can't share anything about X, but LLM tool L is very useful. Just trust me, bro"
My favorite is this advert I keep getting that says "Imagine being able to build an app with your name on it!" I'm like... if you're struggling with the part where you put your name on it... and that's the priority.. I don't know what to tell you.
They have all the primitives. I think it's just that people are looking for a less raw version than AWS. In fact, perhaps many of these users should be using some platform that is on AWS, or if they're just playing around with an EC2 they're probably better off with Digital Ocean or something.
AWS is less like your garage door and more like the components to build an industrial-grade blast-furnace - which has access doors as part of its design. You are expected to put the interlocks in.
Without the analogy, the way you do this on AWS is:
1. Set up an SNS queue
2. Set up AWS budget notifications to post to it
3. Set up a lambda that watches the SNS queue
And then in the lambda you can write your own logic which is smart: shut down all instances except for RDS, allow current S3 data to remain there but set the public bucket to now be private, and so on.
The obvious reason why "stop all spending" is not a good idea is that it would require things like "delete all my S3 data and my RDS snapshots" and so on which perhaps some hobbyist might be happy with but is more likely a footgun for the majority of AWS users.
In the alternative world where the customer's post is "I set up the AWS budget with the stop-all-spending option and it deleted all my data!" you can't really give them back the data. But in this world, you can give them back the money. So this is the safer one than that.
Better yet, publish your own application specific notifications in step 2 since (I believe) billing alerts are delayed. Effectively, build an app specific sidecar that monitors the app and shuts it down if things get out of control.
Tbh decompiling software and figuring out how it works isn’t easy but that is part of the fun :) - it’s the reason ive ended up following many of the weird paths in computing that I have
The problem, I think, is that IF OpenAI fail, they'll take with them a lot of other AI companies, simply because funding will be redirected away from the field entirely. If you're profitable, then you're probably going to be fine. If anything your operating costs will go down as there is less competition for staff and compute.
If we go purely by economics, then Anthropic belongs to the same category of LLM corporations - ones which have only LLM as a product. As opposed to the likes of Google, Microsoft, even Facebook. Sure, these LLM-first corporations have a very tiny lead in both technology and (LLM) brand recognition, but it is shrinking fast. I suspect that only companies which will bundle LLMs with other big products (and do it cheaply) will survive in the long run.
Every time I've worked somewhere without one, we've wanted it and wasted more developer hours than the cost of having it trying to reproduce issues while working around the differences in the environments.
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