kovezd

Lol so this means Netflix/streaming is the next trend going down?

What you are saying is not a hiring problem, but an education one.

If colleges stayed up to date, and teach valuable skills, the jump wouldn't be so steep!

You can now ask Gemini, about a video. Very useful!

That was not a person, it was an LLM.

By the composition of evals. Plus secondary metrics like parameter size, and token cost.

Not perfect, but useful.

Yes. We should only allow social media in a printed format.

Nothing to do with linear, meaningful projections on embedding spaces, and everything to do with efficient maintenance of legacy data reporting systems.

While the critique is valid, that does not offer a path to the solution.

Utilitarism is the ruling moral philosophy, and the only possible countermeasure is externalities but that depends on an effective government which is even more unlikely that asking for ethical behavior to corporations.

Just as the other comment "have to" is a very strong word. But there are benefits to it: a) adaptability to local weather patterns, b) no access to WiFi in large properties.

Need is a very strong word. We don't need a lot of we have today.

But as a hobbyist I would prefer to program in an LLM than learn a bunch of algorithms, and sensor readings. It's also very similar to how I would think about it, making it easier to debug.

There are places where: a) weather predictions are unreliable, b) there is scarcity of water. Just making the right decision on at what hour to water is a huge monthly saving of water.

Don't be so concerned. There's ample evidence that thinking is often disassociated from the output.

My take is that this is a user experience improvement, given how little people actually goes on to read the thinking process.

It's funny that even in a simple setting the AI couldn't avoid to hallucinate. As this clearly isn't a champions match.

That thinking is driven by limited product imagination.

The kind of apps that will be built in the next 5 years,are nowhere near what we have today.

Developers will need to update their skillset, though.

+1 any feedback that is not based in data, I dismiss it as anecdotal. Congratulations on your success.

I can see how LLMs contribute to raise the standard in that field. For example, surveying related research. Also, maybe in the not too distant future, reproducing (some) of the results.

I find this behavior when using ChatGPT.

If I ask for a task, and the output is not the one expected: I ask for the motivation that lead to the bad decisions. Then, ChatGPT proceeds to retry the task "incorporating" my feedback, not answering my question!!

> The "off by one" predilection of LLMs is going to lead to this massive erosion of trust in whatever "Truth" is supposed to be, and it's terrifying and going to make for a bumpy couple of years.

This sounds like searching for truth is a bad thing, but instead is what has triggered every philosophical enquiry in history.

I'm quiet bullish, and think that LLMs will lead to a Renaissance in the concept of truth. Similar to what Wittgenstein did, Plato's cavern or late middle age empiricists.

As an employee, I've requested the same to early stage startups. No amount of interviews, will give you enough information to assess its potential.

I've had the theory that our identity begins as an extension of the representation of space.

We are simply the node at the center in a coordinate system, connected to the same emotions, rewards, and memories that every other node in the graph.

> A bright, capable mind of 40 with an imagination factor of .75 may only have the cumulative real-world experience of a 10-year-old.

While provocative, that argument does not take into account the development of the brain. Processing early experiences are far different from the ones when the brain is fully developed. This includes the storage of memories (knowledge).

Time-efficiency is not the only metric to consider. Privacy, and offline mode are also important. Great tool for federated learning.

Category theory is the mathematical formulation/foundation of this "Uber Network".

Graphs are the most basic unit of meaning.

Well, you fixed a logical contradiction.

Now I understand why Marc was so bullish on crypto.

I wish we would distinguish editing, from writing.

Apparently, inner dialog can adapt to thinking, but is intrinsically a better option (compared to visual thinking, for example).

The terms are also understood in economics as prudence, and template. Albeit, not widely used.

Those are fair. But why impose them through regulations?

Entrepreneurs see business potential on this arbitrage opportunities.

Disagree. This feels more like the Google partnership with Apple' Safari that has lasted for long time. Except in this case, I think is OpenAI who will get the big checks.