Positive users praise Anthropic and OpenAI's diverging strategies on frontier breakthroughs versus efficiency and scale as beneficial for competition and users, while negative users call both models unusable due to token consumption.
Based on 9 visible X reactions from 58 accounts; directional sample.
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@danshipper From someone building on these every day, the #AI race matters less than it looks from the timeline. I don't care who "wins"... I care that the floor keeps rising under whatever I'm building. Them competing this hard is the best thing going for the rest of us!
@danshipper `Perfect summary. Anthropic bets on frontier breakthroughs, OpenAI bets on efficiency and scale. Two different paths to AGI.`
@danshipper If Fable had been served at Sol's price, would this conversation even exist? Or is inference cost the real bottleneck now?
@danshipper OpenAI still has post traumatic stress disorder from the failed gpt 4.5 training run. (That was an absurdly large model)
@danshipper Both are unusable and consume all tokens half through first prompt.
@danshipper Good take.
the state of the race between Anthropic and OpenAI: - Ant: Make the biggest, most powerful, most expensive model possible—Fable. Use that to hit RSI faster and break away from the race. - OpenAI: Make a powerful, useable model that you can serve efficiently / cheaply with a ton of compute—5.6 Sol. Focus on a ton of post-training rather than raw model size. 5.6 is definitely a better daily driver model for the vast majority of people / use cases today. However, there are significant compounding benefits to continuing to push the frontier game on!
@danshipper Been saying this for a while. Anthropic’s bet is 100% on RSI and nothing else matters.
Positive users praise Anthropic and OpenAI's diverging strategies on frontier breakthroughs versus efficiency and scale as beneficial for competition and users, while negative users call both models unusable due to token consumption.
Based on 9 visible X reactions from 58 accounts; directional sample.
Ask a question below.
Published answers will appear here.
@danshipper Good take.