CSMastermind

After using Fable more extensively, I've found that it often is lazy or lies or tries to take shortcuts. For a company so sanctimonious about alignment, they seem to be the ones doing the worst at it.

Availability aside they've really made me appreciate OpenAI and cheer for other competitors in the marketplace even if I have mixed feelings about using Chinese models.

No saying you're wrong but how is it making their lives worse?

Most people know use AI for basic applications and seem to enjoy it while the people I know who hate it all seem to be idelogically motivated (seemingly this is a cause de célèbre on the left right now?)

> ISO 24495 conformance check

How do you enforce that?

There was nothing wrong with twitter, it was a social fad to performatively leave.

Github is actually down and I can't push code right now, it's blocking my business which is unacceptable. It's a broken tool.

Ahh so this will be what moves me off of Edge. Microsoft has almost entirely pushed me out of their ecosystem at this point.

Incredibly cool! Thank you for making this.

I believe they're implying that if the data centers don't get built in Texas they will be built in Louisiana and Virginia.

This reminds me of a girl I knew in college who worked as a contracter for a book publisher.

I was surprised to learn that one of the most common types of books people submitted were dairies of their sailing. Like, "we sailed to this island and there was bad weather then we sailed to this other island".

Apparently they'd get a manuscript like this once a week or something. Not sure what the market is like for books like that since I don't think I've ever seen one in a book store.

We're quickly reaching the point where Lidar isn't needed, pure vision workflows are getting much better.

It's worth noting that some prediction URLs, for instance: https://longbets.org/6/ are offline.

The original long bet was whether or not computers could pass the turing test by 2029: https://longbets.org/1/

You'd think that LLMs fulfill this, but I do wonder if a clever human could still discern between them given their particularities.

https://longbets.org/9/ is another interesting one depending on whether you think covid leaked from a lab or not.

A long time ago, maybe 2016, I interviewed at Paperless Post. The interviewer asked me explain the concept of a promise in javascript, then asked me to implement it from scratch, then asked me to extend it with different features like promise.all.

About 45 minutes into doing this I decided that any company that screened candidate like this was not somewhere I wanted to work so I told the interviewer that I didn't think this was the right fit and I appreciated them taking the time to consider me for the role but I wouldn't be continuing on.

I'll never forget he was like, "But you're doing great!" ... like yes, I know. I'm not stopping because I'm failing, I'm stopping because you are.

If you have a safe in your home and you knowingly wire up a bomb that goes off when a certain lever is pulled then you lie to the police and tell them the way to open the safe is to pull that lever you'd pretty clearly be responsible for the damage done when the bomb goes off.

I don't see why this would be any different.

I'm torn here because it does seem like Netflix brought this on themselves. At the same time the litigious nature of American workplaces are part of the reason large corporate environments are so soul-crushing, with language meant to deliberately obfuscate what's actually happening.

> whose job often involves making decisions based on data and established practices

That's what middle management does, your C-suite has an entirely different function.

I personally take AA with a giant handful of salt.

Eventually everything includes ads. It's just a question of time scale.

All the benchmarks I see put it around the capabilities of Opus 4.8 Medium or Sonnet 5 High.

As far as I can tell it's slightly better than GLM 5.2.

Back in college, I did a hackathon where I striped data across different clouds like OneDrive and Dropbox so that even if one of the providers went down you would still be able to recover your data. Had the additional benefit of no single provider being able to read your files because none of them had the full data set.

Ended up not pursuing it but every time I see a story like this I think I should have.

Everything about LLMs is inefficient. They have their benefits but watching them reason over things that are painfully obvious, that they've literally investigated before (before a memory compaction), never take a step back aand be like 'this is going too slow let me look for a better way', etc. is painful.

There are different classes of mathematical problems.

The one in the post definitely shows the advantages that LLMs have compared to humans for some problems but it's in an entirely different class than the Riemann Hypothesis.

Riemann is one of the most studied math problems of all times and all of humanity has basically collectively failed to make progress. The idea that there's some technique that just hasn't been tried yet (like in the post) is very very unlikely.

The general consensus is that we'll need an entirely new branch of mathematics to solve Riemann - our current tools aren't just inadequate; they're of the wrong class entirely.

I suspect inventing new branches of math will remain beyond LLMs for the remainder of my life.

Sure but say some company based in Lousiana has a website that violates NYC law.

What exactly will NYC do about it? Is there some mechanism to for them to block the website inside of NYC? The company would presumably have no property they could seize or employees they could imprison.

If it were a state passing the law then they could sue for enforcement in federal court but I don't think a city could?

Is this something that cities can really enforce? Like I get that NYC is a bit of an exception but let's say a 5 person town in Wyoming decides that they want to make this practice illegal and they all vote to do so. It's not clear to me that would mean anything at all.

I mean if there's something I'd bet against being solved by LLMs in my lifetime it's that one. We truly do not have line of sight into what a proof would even look like.

I despise Google's insistence that everything be a web page.

> expanding it beyond coding work

Is there anything it can do that codex can't?

How is this different than Codex?

I've seen Opus do this pretty frequently, actually. It's one of the reasons I don't trust it as a model.

DeepSWE is the one I generally trust: https://deepswe.datacurve.ai/

Substack is doing just fine. Blogging didn't collapse, a bunch of spammy get rich quick types were a flash in the pan as expected.

Reddit did the same. Tumblr died when it banned porn. There seems to be a very perverse incentive for social media platforms to be as permissive as possible.

Personally, I'd be in favor of banning all sexual content on X, but it really feels like a legislative solution applying to all social media platforms might be the best solution.

And yes I realize the slippery slope that could put us on.