driverdan

Please use screenshots and copy the content. Don't link to X.

> If this is truly AGI (subject to one's definition of AGI still)

Scoring well in a benchmark that's called AGI does not make an LLM AGI.

Regardless if this would qualify, anti-trust is dead in the US. Alphabet and Meta, for example, would have been broken up years ago if we still had anti-trust enforcement.

This is a much better source too. Dailymail is trash tier.

The README for the fuzzer is an AI slop mess. https://github.com/daedalus/fuzzer/

> Better for whom?

Minorities and women, for a start.

This requires submitting a photo ID to Persona, something no one should be comfortable doing. There are very real privacy concerns with Persona, so much so that Discord dropped them as their provider.

What are they manufacturing? It must not involve any metal. Due to the tariffs on metals manufacturing costs have increased significantly for anyone using them.

> Since “reasoning models” rose in late 2024, we’ve seen A.I. trained not just to mimic humans but also to solve millions of hard problems, which they do by learning new behaviors and tendencies.

LLMs do not learn anything.

> This isn’t the behavior of a mere tool. Microsoft Excel has never impersonated multiple humans and pressured a corporate sales team to generate simpler data that’s easier to process.

This is a straw man fallacy. And it is a tool.

> We don’t know how long we have left before A.I. companies accidentally create the sort of A.I. that can shut us down before we shut it down.

Come on, this is just embarrassing. Hyperbole doesn't help anyone.

It is crucial to discuss the risks. They may even require some of the changes suggested by Soares. But using fear and hyperbole are not the way to do it.

I thought I liked small phones until I got a large one. Now I can't go back. I haven't tried folding yet but may feel the same about it if I ever do.

That said, I have long fingers and can easily use the largest phones with one hand.

I'm not attacking you. The way you're responding implies a lack of knowledge. None of us can understand everything. I have plenty more to learn about LLMs as well.

Repeating specifics that others have already tried isn't going to be helpful which is why I made the more general suggestion of digging in deeper to how these things work.

Self replication is trivial. All you need to do is copy the files and run it, just like any other computer program. LLMs have been capable of doing that for a while now. It's not a real concern.

Based on your replies in this thread you seem to have only superficial knowledge about how machine learning and LLMs work. I strongly recommend you invest some time in learning how LLMs are built and function. If you truly think this is apocalyptic isn't it a good idea to understand what you're up against?

Why would a road or route be blocked from OpenStreetMaps? That doesn't really provide any security if the area is public.

I do agree it feels different but there is still a lot of interesting and exciting tech innovation. OP is about the same age as me so my list will be from my lifetime.

* Lithium batteries. They are one of the most important innovations of our generation. They are so much better than NiCads and lead acid batteries. Much of today's important tech, like mobile phones, wouldn't be possible without them.

* Solar panels went from a novelty to something that we can put on our homes with a positive ROI in a short time.

* EVs. If you haven't been in one go take a test drive. The prices are still too high, at least in the US, but Chinese innovation are pushing that down.

* Driving automation such as radar cruise, lane assist, and other autonomous driving features.

* Digital media, streaming or self hosted. Yes streaming services peaked 10+ years ago but the innovation is there. Having a small server in a closet hosting hundreds of 4k videos is quite an innovation compared to VHS.

* Home automation. It was previously limited to wired devices for the rich. Now anyone can put together complex self-hosted home automation with inexpensive Zigbee/ZWave devices and a Raspberry Pi hosting Home Assistant.

* Hobby electronics have become far more accessible and inexpensive. Arduino, raspberry pi, etc.

* SDRs radically changed radio technology.

* FDM/3D printing.

* Other CNC manufacturing became accessible to hobbyists.

* Bluetooth

* WiFi

* Progress in machine learning / AI, invention of LLMs

I don't understand why you were downvoted. There is no excuse for them to not have local copies. In the context of video production 55TB is nothing. They must have local storage that's significantly larger than that already.

It happened to this Flock post from yesterday https://news.ycombinator.com/item?id=49314962

What's going on with HN hiding this post? 84 votes in 4 hours and it's on page 3 while there are posts on page 1 that are older and have fewer votes.

You're making incorrect assumptions, you know nothing about me and how I've lived.

I don't know UK law but assume they already made that illegal.

This isn't a safety issue, it's LLM companies trying to be opaque and stop distillation.

Cheap 5% beer is still available but there is an increase of availability of higher ABV beer.

For example, when I was younger grocery stores didn't stock anything but the big national brands. Now they stock far more variety, much of it over 5%.

This has nothing to do with my income. I've liked better beer since I started drinking in college. I've never liked the mass produced junk.

This is blogspam of https://www.404media.co/flock-wants-to-partner-with-consumer...

What you're suggesting is that all Mexicans suffer more because some money may somehow end up in the hands of the cartel. And that, for some reason, the US should help do this. That's absurd.

If you really want to eliminate the cartels make recreational drugs legal.

That's not the case in the US. If anything I see far more beers that are 6-10% now.

What's with big tech companies changing all searches to be fuzzy? FB Marketplace is now like this too. It's impossible to search for anything, it gives unrelated results at least half the time.

It is. If the price suddenly goes up that much they need to be sending very clear warning emails about the price increase, with the subject clearly saying so. Something like "Alert: Upcoming Domain Renewal Price Increased to $3000"

No, you have an LLM do all that again.

Where are you getting that from? It's a productivity tool. Someone who knows what they're doing can leverage LLMs to improve their productivity. Someone who doesn't know what they're doing will be able to increase their output but not do it as effectively and with lower quality.

If anything, it now requires more skill to maximize. If you have strong product and engineering experience you can get even more out of an LLM than one of those skills alone.

The other commenters seem to be commenting on style consistency but ignoring your example. Your original format is far easier to read and understand plus the meaning of the comment is lost. IMO you're completely right about this example. Single line dict definitions shouldn't exist. Dicts are far easier to understand and manage when each key/value pair is on its own line, regardless of length.