I think that part is still a bit ambiguous, it's almost how people and companies self-identify the role. But that said, we collect a bit of a taxonomy for our role structure, and we specifically look at Software Engineers focused on AI. The responsibilities can still differ from company to company, but that's what we used for our dataset.
Congrats on the launch! Awesome to see this release as an early user who was able to check it out. The shared workspaces and shared browser windows with context in place has been incredible for collaborating with folks. We have our Figma design, Notion doc, and Gitlab MR all in the same space so we don't have to go searching for each one independently or have them cross-linked to each other.
Another framing of this is whether companies treat their engineering organizations as a cost center or a profit center. Cost centers suppress salaries as much as possible optimizing the budget. There's little growth within these companies which is why the zero-sum philosophy is passed down to their compensation strategy. Whereas profit centers encourage more and more investment as compounding profits come in from previous dividends. Growth is what powers everything, higher pay has a positive-sum gravitational pull on talent sustaining a flywheel for more profits to come in (hopefully).
All the companies that pay very well such as on https://levels.fyi/2023/ are profit centers encouraging investment in talent, competing for the best across companies because they know its worth it. Each hire even at extremely competitive wages will make back their salary manyfold if they're successful.
That’s fair, but 0 guardrails just entirely minimizes the incentive to create a custom GPT.
I was also thinking about when there’s paid access to certain GPTs. Someone can just download the files and spin up their own? Doesn’t seem valuable for devs. If that’s how the incentives were intended then sure. I just don’t expect many people to be enabling use cases with it.
I think the GPTs market is a bit of a novelty thing. But it might work with low costs. I've been making my own GPTs last few days and I find the capability useful but very inconsistent.
If you give a GPTs personality more complex tasks, it gets distracted and reverts to its default ChatGPT personality.
There aren't enough parameters and compute in these LLMs for the things we're pushing them to do. We need hardware to catch up and offer analog compute for neural nets, so we can scale them way up. And of course evolve architectures to make use of that capability. Only then I see this becoming truly rock solid.
Also using the context window for personalities is likely the wrong approach. You gotta finetune this on the model itself.
But yeah GPT can't keep a secret. But humans also can't, so I guess it's imitating us fine.
Most companies still don’t necessarily list total compensation. For base salary though, these ranges are quite helpful and has definitely caused some “good” trouble increasing baseline wages among competing companies.
At higher levels it’s still ambiguous what ranges truly are since job postings can span multiple job levels (which is why some ranges can feel dubiously wide). Ended up writing a bit about this phenomenon here and what contributes to it: https://www.levels.fyi/blog/notes-on-california-transparency...
In particular, the median for software engineer compensation stayed the same (which is a slight decrease when adjusted for inflation), while roles such as software engineering management saw a 5% increase in overall pay. Specific areas such as Augmented Reality saw larger hikes in compensation. AI engineers have also seen elevated compensation compared to their other engineer counterparts, which we analyze on our post here: https://www.levels.fyi/blog/ai-engineer-compensation.html
Tangential to the article, but I think there is an error in this report. At Staff Engineer title you have Broadcom listed at second place with total compensation $786,000. The level listed is ICB 6. ICB 6 is actually 2 levels above Staff Engineer in Broadcom's leveling, titled as Master.
Staff Engineer, ICB 4, average pay at Broadcom comes up as $321k in it's leveling table.
That's actually intentional, and one of the reasons why our site exists. Every company has different nomenclature for their leveling that doesn't necessarily align with other companies. So we developed a standard as a normalization for all the leveling which you can view here: https://levels.fyi/standard
