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Intro to DeepSeek's open-source week and why it's a big deal
- deleted 2y ago[deleted]
- tsunego 2y ago[flagged]
- nazgulsenpai 2y agoThe best kind for reading on that conference call you have no idea why you were invited to! I mean yeah, I agree.
- sadboots 2y ago[flagged]
- t55 2y agoagreed, quite ambitious to cover this entire week in one post
- augustinemp 2y agoI wonder if this openness will inspire other teams to share more of their infra. Imagine how quickly the field could move if more labs took this approach!
- t55 2y agoThe level of DS's openness has been really useful to actually understand what LLM folks are working on day in day out
- linklater12 2y agoSo system design is still relevant and it's not all ML and math?
- DanteBLN 2y agoInteresting read. Great to see ppl actually delivering with these open-source releases that really are what openAI should have done…
- t55 2y agoin a parallel universe...
- spps11 2y ago[dead]
- lukaspetersson 2y agoCracked team vs export controlls, who will win?
- t55 2y agoNever bet against a cracked team
- Couch_Surfer 2y agoGreat stride ahead for OS, curious to see how inference providers respond
- t55 2y agoIf they don't use some of the released kernels, then they are leaving money on the table
- deepdarkforest 2y agoLove when someone that actually knows their stuff does a deep breakdown like this. Super useful I wonder though if all it matters is the last punchline. The profit margin vs competitors. If llms truly get commoditized and do not benefit from economy of scale(like infra/aws) because they would be run in house, then would all companies that use them be in a nash equilibrium? Like everyone has access to the same stuff, same reasoning, same benefits. The only people who will really win in enterprise are consultants that find the best way to leverage and implement agents, not the model makers themselves. And of course data will still be king