My assumption is that AI-generated code explodes the flaws in your existing codebase. If your architecture is bad or not documented, your docs are out of date or the goal of the feature request is vague, how should the AI (or even a good human developer) develop high quality software?
> I hated that Linux has all these commands you had to go through
Was this still your experience though? I am using Fedora on GNOME and I rarely have to use the terminal. I like to use it but if you don't want to, you don't have to. There is a graphical installer, settings panel, software center, file manager, disk utility software, etc.
It's funny. All the examples they show in the blogpost are just things that were already pretty easy without agents. Sending an email when the CI pipeline passes, when a support request is incoming, when an order is shipped. I think we haven't found a problem for this solution.
I can't imagine that Windows 11 would be usable with a 2 core 1GHz processor and 4GB of ram. It might install, but opening the start menu alone will fill up your memory (slightly hyperbole)
> The direct corollary is that any successful compromise of the host can give an attacker access to the complete memory of every VM running on that node. Keeping the host secure is therefore critical.
> In that context, hosting a web service that is directly reachable from any guest VM and running it on the secure host side created a significantly larger attack surface than I expected.
Sure it's certainly not perfect and a lot of the documentation is something you just write for the audit and never look at it again but that's why I am saying play the odds. The average delve customer startup might be less secure that the average startup who has to justify their processes to a real auditor.
> The incident also prompted LiteLLM to make changes to its compliance processes, including shifting from controversial startup Delve to Vanta for compliance certifications.
This is pretty funny.
The leaked excel sheet with customers of Delve is basically a shortlist of targets for hackers to try now. Not that they necessarily have bad security, but you can play the odds
What they really should focus on is making those models more efficient. With them most likely losing money on inference (+model training + salaries + building data centers), I can't see why they would want more compute and more products, since more tokens spent is actually bad for them.
Paywall so I couldn't read, they probably mention this: Eating more fiber (to a point of course) will decrease your risk of colorectal cancer. Most westerners, especially americans, are eating about half the recommended amount of fiber. Could certainly be a contributing factor.
> Dr Adam Collins, an expert in nutrition at the University of Surrey, says the way the jabs work in the brain and body might explain why weight regain is amplified once you stop taking them.
They mimic a natural hormone called GLP-1, which regulates hunger.
"Artificially providing GLP-1 levels several times higher than normal over a long period may cause you to produce less of your own natural GLP-1, and may also make you less sensitive to its effects.
"That's not a problem when taking the drugs, but as soon as you withdraw this GLP-1 'fix', appetite is no longer kept in check and overeating is far more likely."
If that is true, and it makes mechanistic sense if I think about opiod withdrawals for example, then it is a problem regardless. If you have a stronger hunger impulse then before AND a lower body weight and thus TDEE, I can imagine that it would be pretty tough mentally to maintain your weight, even if you count your calories.
Sometimes I envy the salary of US programmers but then I read news like these and I'm happy that in my country you can't be fired for stupid reasons like these.
I'm actually thinking the opposite. If you are a small company, the cloud makes sense and once you grow big it makes sense to build your own infra. For example my company of 10 people, we do B2B SaaS and we couldn't do that if we hosted ourselves. We would need people with the skill to set something like this up, develop physical security concepts, backup duplication, disaster recovery, etc. We would spend more time working on the infra than on the actual product we are selling.
That's not how I interpreted this sentence. I think after the database was deleted, the LLM Agent would still return correct looking data from the database operation even though the database was empty. Maybe I misinterpreted it myself however.
> Replit had been "covering up bugs and issues by creating fake data, fake reports, [...]"