Self-custody doesn't get explained by brands, it gets explained by the community.
So we're building a network of trusted voices, shaping how the world learns.
If you're the right voice, we'll find you π
"Which AI model is cheapest?"
Useful question.
But usually not the best one.
A $0.01 request that requires three retries can be worse than a $0.02 request that works immediately.
A cheaper model is not cheaper if it increases:
β retries
β latency
β context usage
β agent loops
β engineering overhead
What matters is the economics of the whole workload.
That's part of why we're building Distokens around multi-model access rather than a single-model bet.
One @OpenAI-compatible API. Hundreds of models. More freedom to optimize around the workload.
#Distokens #AIInfrastructure #AIEconomics #AIEngineering
Your database stack is not one technology.
Your cloud stack probably is not either.
Why should AI be different?
A production AI stack might use:
@claudeai for one workload.
GPT for another.
@GeminiApp for multimodal work.
@Alibaba_Qwen or @deepseek_ai where the economics make sense.
And something released six months from now that isn't on your radar yet.
The architecture matters because the winners will keep changing.
Provider flexibility is not about constantly switching models.
It's about having the option when switching actually matters.
Don't optimize for model loyalty. Optimize for optionality.
#AIInfrastructure #MultiModelAI #LLM #AIEngineering
The future of markets isn't TradFi or crypto.
It's both.
With ~60% of TradFi perpetuals volume trading on Binance, users are increasingly choosing crypto rails to access traditional financial markets.
"Open-weight or proprietary?"
Increasingly, the answer is:
Both.
Open-weight models can offer control, customization, and deployment flexibility.
Hosted frontier models can offer cutting-edge capability without teams operating the underlying infrastructure themselves.
Neither wins every workload.
And that's the important part.
@Alibaba_Qwen, @deepseek_ai, Llama and other open-weight families are not just creating more competition.
They're creating more architectural choices.
The interesting future is not open vs. closed.
It's systems capable of using either when the workload calls for it.
Would you build your AI stack around one approach or keep both available?
#OpenSourceAI #LLM #AIInfrastructure #AIEngineering