Because the AI works so well, or because it doesn't? > ”By reducing the size of our team, fewer conversations will be required to make a decision, and each person will be more load-bearing and have more scope and impact,” Wang writes in a memo seen by Axios. That's kinda wild. I'm kinda shocked they put it in writing.
What's wild about this? They're saying that they're streamlining the org by reducing decision-makers so that everything isn't design-by-committee. Seems perfectly reasonable, and a common failure mode for large orgs. Anecdotally, this is a problem at Meta as described by my friends there.
Meta is axing 600 roles across its AI division
111–120 of 506 posts
Re: Meta is axing 600 roles across its AI division
#112Re: Meta is axing 600 roles across its AI division
#113Earlier quoted context omitted.
I'm seeing a lot of frustration at the leadership level about product velocity- and much of the frustration is pointed at internal gatekeepers who mainly seem to say no to product releases. My leadership is currently promoting "better to ask forgiveness", or put another way: "a bias towards action". There are definitely limits on this, but it's been helpful when dealing with various internal negotiations. I don't spe…
... until reality catches up with a software engineer's inability to see outside of the narrow engineering field of view, neglecting most things that the end-users will care about, millions if not billions are wasted and leadership sees that checks and balances for the engineering team might be warranted after all because while velocity was there, you now have an overengineered product nobody wants to pay for.
Re: Meta is axing 600 roles across its AI division
#114Earlier quoted context omitted.
> adding erotica support to ChatGPT They really need that business model.
I mean, it's a path to "profitability", isn't it?
For ChatGPT I have a lower bar because it is easier to avoid.
Re: Meta is axing 600 roles across its AI division
#115Meta stock is trading down today at the moment, slightly more than the S&P 500. Maybe they should have just announced the layoffs without specifying the division?
Re: Meta is axing 600 roles across its AI division
#116Earlier quoted context omitted.
I'm seeing a lot of frustration at the leadership level about product velocity- and much of the frustration is pointed at internal gatekeepers who mainly seem to say no to product releases. My leadership is currently promoting "better to ask forgiveness", or put another way: "a bias towards action". There are definitely limits on this, but it's been helpful when dealing with various internal negotiations. I don't spe…
> My leadership is currently promoting "better to ask forgiveness", or put another way: "a bias towards action". ... I don't spend as much time looking to "align with stakeholders"... Isn't that "move fast and break things" by another name?
Re: Meta is axing 600 roles across its AI division
#117Re: Meta is axing 600 roles across its AI division
#118Earlier quoted context omitted.
> My leadership is currently promoting "better to ask forgiveness", or put another way: "a bias towards action" lol, that works well until a big issue occurs in production
Many companies will roll out to slices of production and monitor error rates. It is part of SRE and I would eat my hat if that wasn't the case here.
Re: Meta is axing 600 roles across its AI division
#119Earlier quoted context omitted.
I'm seeing a lot of frustration at the leadership level about product velocity- and much of the frustration is pointed at internal gatekeepers who mainly seem to say no to product releases. My leadership is currently promoting "better to ask forgiveness", or put another way: "a bias towards action". There are definitely limits on this, but it's been helpful when dealing with various internal negotiations. I don't spe…
> My leadership is currently promoting "better to ask forgiveness", or put another way: "a bias towards action" lol, that works well until a big issue occurs in production
Re: Meta is axing 600 roles across its AI division
#120I think this is because older AI doesn't get done what LLM AI does. Older AI = normal trained models, neural networks (without transformers), support vector machines, etc. For that reason, they are letting them go. They don't see revenue coming from that. They don't see new product lines (like AI Generative image/video). AI may have this every 5 years. A break through moves the technology into an entirely new area. T…