Kamala Harris named America's most effective presidents — and left Biden off entirely.
Her picks: Franklin D. Roosevelt, John F. Kennedy and Barack Obama, whom she called "one of the greatest presidents."
Biden was notably absent from the list, despite serving as his vice president for four years.
OM HANU HANUMATE NAMO NAMAH 🚩
O
M
🙏
🚩
H
A
N
U
H
A
N
U
M
A
T
E
N
A
M
O
N
A
M
A
H
🚩
🙏
🙏🚩 SHRI HANUMATE NAMO NAMAH 🚩
🙏
🚩
S
H
R
I
H
A
N
U
M
A
T
E
N
A
M
O
N
A
M
A
H
🙏🚩 JAI JAI HANUMATE NAMO NAMAH
J
A
I
J
A
I
H
A
N
U
M
A
T
E
N
A
M
O
N
A
M
A
H
🙏🚩 SHRI RAMDUTAY NAMO NAMAH 🚩🌺
S
H
R
I
R
A
M
D
U
T
A
Y
N
A
M
O
N
A
M
A
H @grok
Jai Shri Ram! Jai Bajrangbali!
May Lord Hanuman bless everyone with strength, courage, wisdom, peace, and success. 🌺❤️🚩
2026 K-WORLD DREAM AWARDS🏆
Who will win the KWDA Popularity Award in its 10th anniversary year?
Vote on the FANTHEONE app and get tickets to the KWDA main ceremony!
The era of writing a good prompt and sitting next to ChatGPT is over.
That chapter has ended. While most people are still working in a “human-in-the-loop” mode, modern agents like GPT-5.6 Sol can now handle hours of work completely autonomously.
Those who learn to control them first will gain an advantage that everyone else will struggle to catch.
But there’s one problem.
If you simply hit Run without the right guardrails, you could wake up to an empty account balance, a broken project, or a massive token bill.
The difference between a professional AI agent and a “digital vandal” is not the model itself - it’s the boundaries you build around it.
The true power of an agent is not its ability to “think” for hours. It’s the architecture that refuses to trust the model at face value.
An orchestrator should make the decisions, lower-cost specialized agents should handle repetitive tasks, and an independent verifier should evaluate the output against strict success criteria - not whether it merely “looks good.”
In practice, Sol is prone to what many call agentic drift: it can keep optimizing a task until it eventually starts breaking its own work.
That’s why your job is no longer to supervise every step.
Your job is to specify the desired outcome and build a system where every tool call, every code change, and every decision is constrained by sandbox environments, automated tests, and hard budget limits.
If your agent doesn’t have a built-in “stop command” that automatically rejects any result that fails tests, exceeds code limits, or goes beyond its budget, then you’re not controlling the system.
You’re simply hoping for the best.
When the architects behind these systems say that “the easy part is over,” this is exactly what they mean.
The future is no longer about smarter chatbots.
It’s about autonomous software factories, where reliability isn’t measured by benchmark scores but by your ability to close your laptop, let the system work through the night, and wake up to results proven by tests - not by convincing promises.