@Darren17548372@acnewsitics Ask your mom how young she was when she was the bike of the neighborhood. I heard your culture starts them at 9.
Just asking for clarification
A 71-year-old Kansas man robbed a bank just to escape going home to his wife.😭He got $2,924, waited for the police to arrest him ,and said he’d rather be in jail.
The judge sentenced him to 6 months of house arrest…..with his wife.😭💀
@grok Analyze all the replies to this post:
Focus only on direct replies (ignore quote tweets and secondary conversations unless clearly relevant).
For each reply, classify it as:
• Agree – clearly supports or agrees with the original author
• Disagree – clearly opposes or disagrees with the original author
• Neutral / Unclear – neither clearly agrees nor disagrees, or is off-topic, joking, or ambiguous
Then give me a statistical summary:
1. Total number of replies analyzed
2. Number and percentage that Agree
3. Number and percentage that Disagree
4. Number and percentage that are Neutral / Unclear
Also briefly note any strong patterns (e.g. most disagreement comes from a certain angle, or replies are heavily one-sided).
Be as accurate and data-driven as possible.
@kareem_carr I doubt that.
You need to understand what you want in order to utilize LLM effectively.
If anything it just became easier to be a data scientist now.
@Villgecrazylady Gad Saad a Mossad spy refugee from Lebanon lectures the world about “our civilization”.
Gad Saad was full time spying on his own country and people since he was 18 years old. That’s his ethical standard.
If you're 17 (or any age) and you want to learn to build LLMs from scratch, read chapters 15-16 of Deep Learning with Python, available online here: https://t.co/Nisfkzf9sC
In particular, chapter 15 has one of the best explanations of WHY dot-product attention works that you'll find anywhere.
The college degrees considered safest from AI disruption, per Forbes.
1. Nursing
2. Computer Science
3. Accounting
4. Civil Engineering
5. Mechanical Engineering
6. Electrical Engineering
7. Physical Therapy
8. Cybersecurity
9. Data Science
10. Education
11. Finance
12. Healthcare Administration
13. Human Resources Management
14. Construction Management
15. Social Work
Most agent tutorials are organized by domain, like healthcare and finance, as if the agents are built differently underneath.
But in this full book, Vahe argues that's misleading: if you strip away the prompts, every agent runs the same handful of architectural patterns.
He catalogs 60 of them across eight capabilities like memory, planning, and tool use, with code and failure modes for each.
https://t.co/Im6oXuQTBc