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Do we actually know a bit more on what people were let go, from what teams? Maybe the percentage of AI people in Google actually has grown relatively now? And
by albertzeyer 4y ago
Do we actually know a bit more on what people were let go, from what teams? Maybe the percentage of AI people in Google actually has grown relatively now?
And Google is in fact using AI almost everywhere in production already. You have some sort of AI in almost every product. Also language models are everywhere, e.g. just prediction of typing on your phone, or in GMail, in speech recognition, and many other places. I think they just do not use the biggest models for those things but some more efficient models, which can partly even run offline on your device (e.g. for the typing prediction).
Also in Google search, they use lots of AI, also neural networks.
It's just that for LaMDA specifically, they don't have a good product yet.
- dmlerner 4y agoI find this plausible: .......... > The formula looks at the variables below, and then spits out a "number" for every Googler. Each PA VP gets a % to cut, and as such there is a threshold. Anyone below that threshold gets RIF'd. Variables are: 1) Location of labor. US Premium Plus was largely impacted versus cheaper areas. 2) Tenure and performance in level. 3) "Runway" of comp. (e.g. base salary vs MRP. eg. .8 of MRP Googlers have a long runway, vs 1.x of MRP Googlers are basically top of band, and 'tenured' with no runway except promo 4) Promo velocity .......... Taken from https://www.teamblind.com/post/THE-DEFINITIVE-GOOGLE-LAYOFF-FORMULA-jzyaz8fh https://www.teamblind.com/post/THE-DEFINITIVE-GOOGLE-LAYOFF-... Disclaimer: Googler, but no particular internal-only information backing my impression of the above
- zalyh 4y agoBlind post is no longer there. Anyways, I didn't understand the acronyms so I decided to feed it to GPT and it definitely made it easier to understand: Google is using a formula to determine which employees will be laid off (known as RIF: Reduction in Force) The formula takes into account various factors such as location of labor (with US Premium Plus areas being more heavily impacted), tenure and performance in the current level, "runway" of compensation (the difference between base salary and maximum potential salary), and promo velocity (how quickly the employee has been promoted within the company) This formula calculates a "number" for each employee based on these factors Each Product Area Vice President (PA VP) is given a percentage of employees they must lay off Employees with a score below a certain threshold, determined by the formula, will be laid off
- dmlerner 4y agoThe post is still there