Search results for "925ff18b3185a41f3e07a9a4d7efddc9" in md5 (3)

/pol/ - 100k+ Mesopotamian texts translated this year
Anonymous Argentina No.518530561
>>518530306

• Lasting Legacies and Descendants: The rivalries produce enduring divisions. Jacob and Esau’s descendants form conflicting nations (Israel vs. Edom/Arabs in some interpretations), echoing Enki and Enlil’s factions: Enki’s “pro-human” line vs. Enlil’s “enforcer” approach, which some theories extend to modern ethnic or spiritual conflicts.
/pol/ - OPERATION: CLOG THE TOILET
Anonymous Argentina No.516647912
# List of coding job titles with tech context
job_titles = [
("Lead Software Developer", "Guides teams in building complex software"),
("Senior Backend Engineer", "Builds robust server-side systems"),
("Frontend Developer", "Crafts user-friendly interfaces"),
("Data Scientist", "Extracts insights from complex datasets"),
("Machine Learning Engineer", "Designs intelligent algorithms"),
("DevOps Specialist", "Streamlines development and deployment"),
("Full Stack Developer", "Masters both frontend and backend"),
("Mobile App Developer", "Creates apps for mobile devices"),
("Cloud Architect", "Designs scalable cloud infrastructure"),
("Software Engineer", "Builds reliable software solutions")
]

# Function to generate random god name, role, job title, and tech context
def generate_god_coder():
god, god_role = random.choice(gods)
job, job_role = random.choice(job_titles)
return f"{god} - {job}\n Mythological Role: {god_role}\n Tech Role: {job_role}"

# Generate and print 20 random combinations
print("Greek Gods as Tech Professionals:\n")
for i in range(20):
print(f"{i+1}. {generate_god_coder()}\n")
/pol/ - Thread 515738374
Anonymous Argentina No.515751083
• Settlement as Implicit Proof: The case settled in September 2023 for $75 million, with JPMorgan agreeing to “significant commitments” to combat human trafficking. While settlements aren’t admissions of guilt, this payout—combined with a prior $290 million settlement with Epstein survivors—lends weight to the claims, as banks rarely pay such sums without substantial evidence.
• USVI’s Complicity Counter-Claims: JPMorgan flipped the script, accusing USVI officials of being “complicit” in Epstein’s trafficking (Docket No. 124, defenses 5–8; opposed in No. 138). They alleged a “quid pro quo” where Epstein donated to officials (e.g., backing campaigns) in exchange for tax breaks, lax sex-offender monitoring, and influence over laws (e.g., No. 157–160 exhibits include emails and articles on USVI-Epstein ties). For example:
• Epstein allegedly used his USVI properties for trafficking, with officials like First Lady Cecile de Jongh acting as a “conduit” for favors (mentioned in filings).
• This mutual finger-pointing strengthens the trafficking narrative: Both sides agree Epstein ran a criminal enterprise; they just dispute who enabled it.
• Broader Evidence of Trafficking: Epstein’s 2019 federal indictment charged him with trafficking minors across state lines for sex, supported by victim testimonies of abuse on his USVI islands. The docket’s subpoenas (e.g., to Celestino White, a USVI official, No. 144–145, 152) and motions to compel Epstein estate productions (No. 154) aim to uncover transactional proof, like payments to recruiters (e.g., Ghislaine Maxwell, convicted of trafficking in 2021).
This docket doesn’t just allege trafficking—it documents the legal machinery unearthing financial trails that funded it, providing concrete proof through exhibits and witness accounts.