HN user
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.
Except when you accidentally leak your entire codebase, oops
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.
That is quite scary
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
True but neither will going bankrupt.
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.
I would assume the average purchase in Walmart is significantly more low-tech than this though
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.
Does an article need to supply all this expertise or can it not just be descriptive?
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.
Ha, very good
Publicly accessible, not password protected, not encrypted. That is insanity.
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, [...]"
On the other hand: why should you accept that your employer is trying to fire you but first wants you to train the machine that will replace you? For me this is the most "them vs us" it can be.
Buying, absolutely not. But I could see a use case of describing your requirements to a product in natural language and it searches matching products and finds places to get them. So using the AI for the thing it's good at: transforming natural language. And not for what it's bad at: making reliable decisions.
If people wanted that, they could just ask an LLM to be their language coach. The big issue is that with a foreign language, you cannot really verify that anything the model gives you is correct. And with how LLMs work, the wrong answers will look very convincing. I don't think that's a good idea.
Works great on my end.
I think it would be impossible to not use output from OpenAI's models, since a significant fraction of new internet content is AI-generated. They are suffering from their own success.
Flux (the image generator of xAI) is by Black Forest Labs - a german AI company for example.
And they all make their citicens work insanely long hours. So they are not sustainable either.
I think the problem in the west is just demographics. More older people leads to high demand on the healthcare system and fewer working age people leads to less supply.
For me it's videos about working out and climbing. You can train the algorithm pretty well what you don't want to see.
Funnily enough I wonder if a burst of adrenaline after learning is effective. Kind of tricking your brain into thinking it just survived a dangerous situation and must retain whatever lead up to it.
Doctors being the most notorious pill pushers on this planet
How about science podcasters advertising supplements?
If your bad code gets through to a literal airplane, then the entire QA Process is to blame, not just the software engineers/programmers.