Thanks for the reply. Actually, I took inspiration from several thecniques I learn since the 90's, when software had to be much more performatic to be possible.
The length:data pattern was inspiration from an old software to store Magic Cards database
The variable byte size for numbers is inspired in UTF encoding
And much other thecniques I was creating along the project.
OpenAI has around 1 billion weekly active users, while Anthropic has around 130 million monthly active users. Most OpenAI users are free or lightweight users, while Anthropic users are mostly active and/or paying developers. But I think the user base is the most important thing, even free users. Look at Google, Microsoft, and all the other giants with large free user bases. It is not as if Anthropic is slowly absorbing OpenAI’s strength bit by bit.
That’s a tough one. Some say it will destroy cybersecurity; others say the Mythos numbers are misleading and cherry-picked just to attract more investment. I really don’t know what the truth is, because the Mythos case is not open to the public.
It is wonderful how early years of modern computing was brilliant. We treated machines as they really are: machines. Performance, creativity, science..., all possible to make a 386 machine work. Nowadays is all about libraries, virtualization, [bad] code over [bad] code over [bad] code..., I dont like it.
Actually, the internet has space for both. The problem is machines "acting like humans", that destroys the human experience. [machine <-> machine] is fundamental to keep the internet alive (services).
The length:data pattern was inspiration from an old software to store Magic Cards database The variable byte size for numbers is inspired in UTF encoding
And much other thecniques I was creating along the project.