CSMastermind

I have both set up with full access to all the repos at the company, infrastructure, deployment pipelines, etc.

I can tell Sol, "Hey we need to update this core database schema to handle this new use case" and it will masterfully handle the update, version the API, roll the consumers over, including versioning the Kafka schemas, deploying things in sequence, watching the deployments to make sure the new services act actually active before cutting over consumers, exercising the website and mobile apps in staging environments before releasing to production, etc.

Fable just falls over on long horizon tasks, it does partial implementations, it cuts corners, it gives up, it doesn't verify it's work, it loses track of what it's doing, etc.

It's fine for specific well scoped tasks but can't take high level guidance for complex updates.

Sol easily outperforms Fable on every task I've tried it on.

I assume it cascaded from one provider to the other as people who lost claude access for instance moved to openai who moved to grok when it went down, etc.

Moving here after living in NYC for a decade was a breath of fresh air. I had forgotten that competent governments exist.

Gemini is the only one I'm seeing still up.

> Mathematics is the study of precisely imagined things. It's about imagining something so precisely that your idea of it is fully defined. There's no space for opinion or interpretation. Two mathematicians thinking about the same mathematical object, defined in the same way, are not thinking about two versions of it. They're actually thinking about the same object.

- Rob Miles

Any time I read something like this post, I can't help but think that it's people mimicking the language of mathematics because they don't understand its purpose. To them, math seems like pedantry, constantly obsessing about minor details that are seemingly irrelevant. When in reality, that obsession with full and complete definitions in math serves a purpose.

This discussion of salads serves no purpose. In fact, it's arguably meant to be confusing.

It's an overloaded term for AI models that have spatial reasoning LLMs currently lack.

Best definition I've heard is: AI systems that can build an internal map of their surroundings to anticipate what happens next and make decisions based on their predictions about the consequences the different actions they can take would have.

There's a bunch of different approaches people are trying:

- World labs (linked in this post) is going down the route of neural 3D representation work (NeRFs, 3D Gaussian Splatting)

- Yann LeCun is pretty famously betting on JEPA architectures (check out the excellent Welch Labs videos for more)

- Google is betting on generative video

- Karl Friston was pursuing 'active interference,' which is just traditional RL techniques with different reward functions

It's impressive how badly Google has screwed up their models and coding products. There was a brief period of time I was using Anti-gravity as my daily driver when they first introduced it and then they just completely screwed it up.

No matter how much I try to explain to some executives that you don't want the most productive individuals, you want the most productive team, they just don't get it.

> Companies want the best candidates they can get

Every global company I've worked at has had extensive ethnic networks and sometimes teams of only one ethnicity.

It's painfully obvious that they're not just taking the most qualified candidates.

This is all very good advice, but I would caution anyone asking the question at the start of the essay that they probably shouldn't be a Staff Eng. Unless you're at a company where that title is simply a rung on the ladder that doesn't have differentiated responsibilities (there are lots of those out there).

Every person I've worked with who's been successful as a Staff+ Engineer, promoting them was normally more of a formality since they were already clearly doing the work. Every person I've seen 'rise to their level of incompetence' was striving to get the title/pay bump and looking to 'play the game' to get there.

If your motivation for solving people's problems is that it will get you a promotion, instead of the fact that you like solving problems, then it's probably not the right job for you.

Not OP but generally states are considered to be a central political organization that maintains a monopoly on violence within a defined area.

The border is the thing that makes the state and have been since states first emerged about 5,000 years ago. If the state cannot preserve its border it is no longer a state.

Yeah regardless of comments by the team to the contrary (https://x.com/thsottiaux/status/2090675027670978569) I have observed this in the cdoex app.

My conspiratorial mind thinks they're doing this deliberately and using the resets to mask things so people can't tell their limits are reduced. The $200 / month plan covers about 2 days of usage for me right now.

Or an entire book covering it: https://www.manning.com/books/just-use-postgres

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.