oxfordmale

I am happy to pay for the BBC licence fee if they stop harassing old grannies.

The real problem is social media. Their machine learning algorithms are optimised to boost toxic content, as they result in more engagement (time spent). This is a fundamental trait of humans. Even babies look at angry faces longer than happy faces.More time spent means more advertising revenue.

It means the current generation gets exposed to a lot of toxic content all in the name of driving advertising revenue. In the olden days you could get everything, but it wasn't forced down your throat, or rather your reels.

Outsourcing comes and goes in waves. Good talent in India and the Philippines tend to work for FAANG companies, often at very comparable salaries to the west.

The remainder of the talent tends to struggle with some of the outsourced work, but with AI they can now give a semblance of competence.

In the UK a major retailer, Mark and Spencer got hacked after outsourcing work to India. They couldn't fulfill orders online for months, and they are now reducing the amount of work they outsource to India.

We will see something similar happen to other companies in a year or two, but until then we just have to tighten our belts and hope we don't get layed off before then.

Meta is definitely at the forefront of recommendation algorithms built. However, the leadership team likely has shifted focus to LLMs.

I think you might be reading a bit too much into this.

He’s been with Meta for 11 years and is likely in a very comfortable financial position, given the substantial stock options he’s received over that time.

He also mentioned the arrival of a new child, and it’s well known that Meta's work-life balance isn’t always ideal.

On top of that, Meta, like many major tech companies, has been shifting its focus toward LLM-based AI, moving away from more traditional PyTorch use cases.

Considering all of this, it seems like a natural time for him to move on and pursue new, more exciting opportunities.

But is is a partial outage only, so it doesn't count. If you retry a million times everything still works /s

I am not sure that us the right question to ask.

The real question is how much utter garbage it produced in those 30 hours without human supervision.

Apologies, they are in JSON files. GitHub truncated the last two characters on my mobile.

https://github.com/brainless/letsorder/blob/main/backend/.sq...

The design is fundamentally flawed, with queries in close to hundred .js files.

Perhaps you marker and sell a few, but it looks insecure and would be hard to refactor.

Thanks for sharing this, very brave.

Looking at the code, there is a good chance this codebase is vulnerable to SQL injection.

LLM apology cascade:

- That didn’t happen.

- And if it did, I’m really sorry.

- And if it was that bad, I truly apologise.

- And if it is a big deal, I understand and I’m sorry again.

- And if it’s my fault, I’ll try to do better.

- And if I meant it… I didn’t — but I’m still sorry.

There remains a significant challenge with LLM-generated code. It can give the illusion of progress, but produce code that has many bugs, even if you craft your LLM prompt to test for such edge cases. I have had many instances where the LLM confidentially states that those edge cases and unit tests are passing, while they are failing.

Three years ago, would you have hired me as a developer if I had told you I was going to copy and paste code from Stack Overflow and a variety of developer blogs, and glue it together in a spaghetti-style manner? And that I would comment out failing unit tests, as Stack Overflow can't be wrong?

LLMs will change Software Engineering, but not in the way that we are envisaging it right now, and not in the way companies like OpenAI want us to believe.

You don't fancy Cyanide Custard? Radioactive Slime Jello made with actual radioactive waste? Sweet Tooth Delight made with real human teeth? Or a few other desserts with NSFW names that would go down a treat for a family dinner. It is hard to please some people /s.

But yes, websites will now be filled with these low-quality recipes, and some might be outright dangerous. Cyanide custard should ring alarm bells, but using the wrong type of mushroom is equally dangerous and much more challenging to spot.

The number of employees you hire is seen as a proxy for growth and future earnings and revenue. With AI the argument is that you can grow with less staff.

The problem isn't that Boeing is less safe; it is that the company's culture shifted to the extent that technical staff could no longer report perceived safety issues.

It is part of the regular economic cycle. Most companies try to do more with less, like in any downturn. This cycle is different, as senior management now has AI to justify hiring fewer knowledge workers. Things will turn around eventually when the AI bubble bursts. Companies will then scramble for graduates who have likely moved to work in different industries and complain about a talent shortage.

Mercedes has gained approval to test Level 4 autonomous driving. Level 4 is considered fully autonomous driving, although the vehicle retains a traditional cockpit, and the driver can request control at any time. If a Level 4 system fails or cannot proceed, it is required to pull the vehicle over and bring it to a complete stop under its own control.

I would argue that it is getting very close to what people think autopilot can do. A car that, under certain circumstances, can drive for you and doesn't kill you if you don't pay constant attention.

Thanks for pointing it out :-)

AI is very good at this. Unfortunately, humans tend to be super bad at providing detailed verbal instructions.

Yes, let's devise a more precise way to give AI instructions. Let's call it pAIthon. This will allow powers that be, like Zuckerberg to save face and claim that AI has replaced mid-level developers and enable developers to rebrand themselves as pAIthon programmers.

Joking aside, this is likely where we will end up, just with a slightly higher programming interface, making developers more productive.

Fivetran works perfectly fine for syncing Postgres databases into Snowflake. My company syncs dozens of them without problems. I can only assume their Postgres database has a non standard set up.

This analysis is too simple. Roads need to be maintained, road accidents are a burden on the national health service and air pollution has a long term negative impact on people's health

It just makes the site NSFW.

If I want to enjoy Only Fans, I know where to find it.

Software can work for a very long time with minimal maintenance. A different question is if it can keep making revenue without investing.

Quality content has disappeared on Twitter and there is a proliferation of Only Fans tweets. However if you love Musk and right wing conspiracies it is still a fine platform to use.

Define working.

It's is currently on a path of slow but steady decline. It is no longer useful for breaking news and it is full with Only Fans tweets.

However, if you want to read about Elon Musk or are into right wing conspiracy theories, it is still perfect.

They have tons of money, enough to support a development team improving their database. In addition there is a long legacy, both technically and politically, making it hard to even propose to get rid of it. The only likely switch is a gradual decline, with parts of the system moved to another database.

This is about access to private repos, not public ones:

"Anyone can access deleted and private repository data on GitHub"

This is about access to private repos, not public ones:

"Anyone can access deleted and private repository data on GitHub"

As the author pointed out, the documentation was written three years after he reported it.

Beyond that is is also a batshit crazy implementation. Just I imagine AWS would still allow AWS credentials to give access to a deleted account

Yes, that is about right.

It is also about knowing when to mow the lawn. Generally, you shouldn't mow the lawn when it is too wet, as it is too heavy on your mower. You also want to avoid mowing it when it has been too sunny, as the grass will turn brown. That requires experience beyond buying a mower.