Tenoke

In theory but in this specific example you can make a lot more money on the stock market instead if it's that doable.

In general you should judge different prediction markets differently and read the fulfilment criteria though - some are very ripe for abuse, AI or no, while others are much more ironclad.

Yes, in the very long term, but in the medium term where the listed capacities even matter we are not close to that. Really, the cost per gb of vram on flagships hasnt went down since 1080ti and thats not accouting for the recent increases which will likely last for years.

I looked for one and it's impossible to find, let alone at a reasonable price + it does suffer from being harder to train/use less common models and workflows (e.g. arbitrary comfyui ones). Spark at least doesnt have that drawback, while AMD has both drawbacks.

Waiting for the market to be less insane is somewhat akin to waiting for the s&p500 to drop a decent amount so you can buy in.

I really want a 128gb+ machine but it's brutal to be at only 256 GB/s for $4k (especially with the drawbacks of both ARM and AMD).

I fear that by the time the RTX Spark comes out it'd have to be $6k, and by the time a 128gb or more machine with 700+ GB/s comes out it'd be at $10k, way out of most consumers' hands.

Edit: capitalized gb/s to GB/s.

Have you honestly not noticed how dried up the tech job market is? This take is bizzare to me.

Measuring aircraft production per weight doesnt sound like that bad of a proxy. If I hear that Boeing produced 300 kilotons worth of aircrafts more this year, I'd be right to suspect they've ramped up production.

We can create many things without being able to define them. From embryos to fire.

Yeah I like the idea, but I'd rather just not use most of these plugins, superpowers included. Code seems to include the best tricks in itself anyway at a fast pace.

Do you mean that Gemini is most token-efficent at watching videos? Is that the case for e.g. just giving it a video in the browser? I admit, I dont give LLMs videos as I just assume it'll burn too many tokens.

This is great, I assumed we were getting close (and not quite there), so it's great to see the progress. The path from here to building a single-celled organism out of nonlive materials looks very straight.

For non-Americans especially it does look possible to be the last one.

Well my PC is built on my own and I change parts every year or two. My laptop is a Thinkpad from last year and Im pretty sure I can easily open it to replace something just like my last one.

>How many times has an Apple OS wiped your hard drive or otherwise been completely borked from a forced update

I use Windows and this has never happened to me. I have had Macbooks I cant open to fix/replace something trivial while I can replace any part easily on a Windows PC/laptop though.

Did you think 5 years into the invention of electricity the world already was vastly different? The internet? Would you have written them off because random people didn't know much about them at that point - which isnt even true as chatgpt has been ~ the 5th most popular site in the world for a couple of years now?

I've barely changed my mind on it. It was obviously premature at the time, but the right attitude because it's hard to tell which model is too dangerous in advance. If anything, I wish this rigor had evolved with the next releases but alas we no longer have the OpenAI of 2019.

>they’ll sometimes catch harmless requests, though they trigger, on average, in less than 5% of sessions.

Isn't (less than) 5% of sessions a lot? I was expecting a sub1% guarantee there, so this surprised me already.

Claude Code has been wonderful for work and the frequent improvements are nice, although with Mythos being used by others ages ago and new versions for the public still being bellow that, it's hard to not feel like the underclass already.

It's also at minimum baked into the system prompt of virtually any LLM.

Nope, it does some automatically, but you cant even check the context size let alone compact. The agent proposes to start a new chat when you think it might be high, and that's it.

Compared to gemini-cli which I was using the last few weeks it also doesn't:

1. Doesn't tell you your weekly qutoa (at least on Pro plan/all the time)

2. Your agent cant access the quota to not run some tasks at low quota

3. You cant see the context size

4. Your agent can't see the context size

5. You can't compact/compress

6. You have to keep starting new chats which also kill any processes it has running (e.g. a telegram listener)

7. Doesn't have a straightforward linux/wsl install (I ended up using the Windows IDE and pointing it to wsl).

And that's from just migrating a gemini-cli model and trying to set it up for an hour. Incredible downgrade for no reason.

It depends heavily on what type of data though. As far as I understand if you have no PII or anything close to it you are mostly safe - especially if it's customer data but aggregated.

> We did get a certificate though.

As someone who never bothered to get any certificates (beyond a University degree) even when I'd do online courses (of which the most course-like must've been fast.ai), are these ever actually useful in any manner?

As someone working in a small business/startup, who finally got the team Claude Team Premium, I don't really get what might I benefit extra from by enabling this. I can find whatever workflows and tell it to integrate them anyway, why would I bother with this?

Can you point me to them? I couldn't find anyone writing a version of that idea back then, I'd be curious to read how others framed it.

In 2019 I suggested[0] you might reach AGI if you train on computer usage - mouse movement, keypresses, what's on the screen etc. - and it sounds like Meta are kind of trying some form of it.

0. https://svilentodorov.xyz/blog/human-imitating-task/

What are you even responding to?

Its style of writing text is very readble if aesthetically meh. This is what I care for in how code is written anyway.

A great example of how current alignment is imperfect and bound to miss random behaviors nobody is trying to get.

This is cute now, and a huge problem when future AI does everything and is responsible for problems it isn't even directly optimized for. Who knows what quirks would arise then.

I think LeCun has been so consistently wrong and boneheaded for basically all of the AI boom, that this is much, much more likely to be bad than good for Europe. Probably one of the worst people to give that much money to that can even raise it in the field.

Nobody out of people remotely worth listening to. There's always people deeply wrong about things but over 70 years at this point is a pretty insane position unless you have a great reason like expecting Taiwan to get bombed tomorrow and slow down progress.