Let’s see. Obviously ML is a core part of Tesla and he’s said in the past he sees it as a key to fixing Twitter. I wouldn’t read too much into his current cuts because he’s also just trying to cut what he perceives is dead weight. Maybe the guy who was cut wasn’t shipping.

No, I wasn’t saying they were hiring. I was saying their products would benefit a lot from deploying more ML.

I work at a FAANG and seeing some accurate and some inaccurate things here.

• Overall, AI is seen as a key factor to success against competition. AI driven ranking changes can be incredibly impactful in the right context and the downstream ROI tremendous.

• ML Engineering jobs are still incredibly sought after.

• Pure research might be a different story due to lack of ROI. But research that can be incorporated and applied to product will be seen as valuable because of point 1.

Any company that needs to do stuff at scale will likely need to use ML. Looking at Twitter for example shows a lot of opportunity for ML (spam, abuse detection, feed ranking).

The future of ML jobs is incredibly bright and only going to grow from here.