EE, Comm, Software, & Info Systems Engineer.
Researcher, Analyst, Writer, Philosopher, Memer, & Head of Token Engineering @Node_Cap .
Views aren't my own.
@AntSeedAI And quality. AFAIK, AntSeed providers will be continuously ranked and measured based on performance. Competition among providers should naturally drive higher quality, better reliability, and faster innovation.
AntSeed is out of stealth https://t.co/qeKE2NqVzr
and launching https://t.co/qfee7rSsih today for $DIEM holders.
The open market for AI inference. Permissionless peer-to-peer. Onchain payments. No gatekeepers.
🧵
@CRuud19470@AntSeedAI@kotevcode (all) Markets can be manipulated from both sides.
“Pump & dump” manipulates buyers.
“Short & distort” manipulates sellers.
Spoofing manipulates both supply and demand.
See SEC definition of market manipulation.
1. https://t.co/AqzSVnHUuv
2. https://t.co/3Bx1gP5mOs
@jussy_world It’s like saying drugs didn’t help an athlete if he finished fourth in the Olympics.
You should watch the Icarus “documentary” (hint: if they hadn’t used drugs, they wouldn’t have reached the Olympics).
@MikeIppolito_ Sarcastically: No one wants to hear this but the solution to too many third-party APIs is fewer, vertically integrated winners.
Battle tested platforms built by veteran engineers will succeed in winning the trust battle, and eventually absorb external APIs.
די לחכימא ברמיזא
Intelligence is compression. The wiser the person, the less thinking and Info needed to reach the right conclusion. Same for LLMs. The fact that most use more & more tokens is another proof they’re getting dumber (won’t say which, I’m not that misAnthropic).
Wow. ChatGPT is getting worse and worse.
The best was GPT-4 (released on 🥧day, March 14, 2023) and it's on constant decline (except for the 24 hours after each release).
GPT-4o is just horrible compared to pre "turbo" versions. I think the o in GPT-4 stands for Oy vey. Shame.
I feel like they tune the models down to save costs and to be no more than marginally different than the competitor. So only during release day do they turn them back to full capability
1/2
Respectfully, disagree.
This feels like an excuse to go closed-source due to competition, wrapped in a security narrative.
It's like saying "now that the rifle was invented, armies don't matter anymore." Security has always been a resource competition, and it always will be.
1/2
Respectfully, disagree.
This feels like an excuse to go closed-source due to competition, wrapped in a security narrative.
It's like saying "now that the rifle was invented, armies don't matter anymore." Security has always been a resource competition, and it always will be.
Open source is dead.
That’s not a statement we ever thought we’d make.
@calcom was built on open source. It shaped our product, our community, and our growth. But the world has changed faster than our principles could keep up.
AI has fundamentally altered the security landscape. What once required time, expertise, and intent can now be automated at scale. Code is no longer just read. It is scanned, mapped, and exploited. Near zero cost.
In that world, transparency becomes exposure. Especially at scale.
After a lot of deliberation, we’ve made the decision to close the core @calcom codebase.
This is not a rejection of what open source gave us. It’s a response to what risks AI is making possible.
We’re still supporting builders, releasing the core code under a new MIT-licensed open source project called cal. diy for hobbyists and tinkerers, but our priority now is simple:
Protecting our customers and community at all costs.
This may not be the most popular call.
But we believe many companies will come to the same conclusion.
My full explanation below ↓
2/3 If AI makes it 10x easier for hackers to find exploits, it makes it 100x easier to audit and defend. The tools are available to everyone.
The only real exception is nation-state level actors with ASI-level resources, and at that point you're talking about a nuclear-grade...