Forwarded from MAYBE? MAYBE NOT?
🌎🌍 Secret Millions for the WHO: Who is Behind the Anonymous Donations?
With the US withdrawal, Donald Trump is creating a billion-dollar hole in the WHO's budget – and right now, huge anonymous money flows are appearing. Millions are flowing through the specially established WHO Foundation without clarity about who is behind it. Is the organization maneuvering itself into dependence on invisible major donors?
At the beginning of the year, there was a bombshell regarding the controversial World Health Organization WHO: US President Donald Trump announced the US withdrawal from the WHO immediately after taking office. According to the Trump administration, the WHO was riddled with corruption and abuse of power. Especially during the Corona pandemic, the organization's deficiencies came to light, and a growing dependence on China became apparent.
read more
With the US withdrawal, Donald Trump is creating a billion-dollar hole in the WHO's budget – and right now, huge anonymous money flows are appearing. Millions are flowing through the specially established WHO Foundation without clarity about who is behind it. Is the organization maneuvering itself into dependence on invisible major donors?
At the beginning of the year, there was a bombshell regarding the controversial World Health Organization WHO: US President Donald Trump announced the US withdrawal from the WHO immediately after taking office. According to the Trump administration, the WHO was riddled with corruption and abuse of power. Especially during the Corona pandemic, the organization's deficiencies came to light, and a growing dependence on China became apparent.
read more
Forwarded from foxblog channel
David Sullivan: The Profile of a Serial Offender https://newspaste.substack.com/p/david-sullivan-the-profile-of-a-serial
Substack
David Sullivan: The Profile of a Serial Offender
Accused of multiple counts of raping women & children, David Sullivan has so far been protected by the UK court system, UK Police, the BBC, & the FA. Now it’s time for Johnny Vedmore to investigate.
Conspiracy Author David Icke Repeatedly 'Named and Shamed' in New Jeffrey Epstein Files - The People's Voice
Oh dear!
Though I'm not entirely sure how reliable a source these guys are, that's certainly very interesting isn't it, regardless of if it's true or not?
It's either true, or Dave's said / seen / come across something he really shouldn't have?
https://thepeoplesvoice.tv/conspiracy-author-david-icke-repeatedly-named-and-shamed-in-new-jeffrey-epstein-files/
Oh dear!
Though I'm not entirely sure how reliable a source these guys are, that's certainly very interesting isn't it, regardless of if it's true or not?
It's either true, or Dave's said / seen / come across something he really shouldn't have?
https://thepeoplesvoice.tv/conspiracy-author-david-icke-repeatedly-named-and-shamed-in-new-jeffrey-epstein-files/
The People's Voice
Conspiracy Author David Icke Repeatedly 'Named and Shamed' in New Jeffrey Epstein Files
Disgraced conspiracy author David Icke has been named and shamed at least 15 times in Congress's latest release of Jeffrey Epstein files— the very documents that peel back the curtain on the financier's global pedophile network.
Sam Fisher (Data Drops) pinned «Conspiracy Author David Icke Repeatedly 'Named and Shamed' in New Jeffrey Epstein Files - The People's Voice Oh dear! Though I'm not entirely sure how reliable a source these guys are, that's certainly very interesting isn't it, regardless of if it's true…»
Forwarded from foxblog channel
Family demand reform after police officer cleared in fatal Duchess of Edinburgh escort crash https://www.itv.com/news/2025-11-18/family-demand-reform-after-officer-cleared-in-royal-escort-crash
There's a poll up on my YouTube channel, for how you all would like my series on the System to proceed. Is the gradual, more detailed dives, into who / where / what they are, what you all want and if so, which topic?
But, if that's not what you want, would you prefer a breakdown of the structures in place to hold their power?
http://youtube.com/post/UgkxBJ685uU2-Ka4K0khZri8sCBW7Ntq6WPA?si=7etjYXpJG_nrFQqC
Please place your vote and if you've a suggestion, or something you want to say on this series, lemme know in the comments.
But, if that's not what you want, would you prefer a breakdown of the structures in place to hold their power?
http://youtube.com/post/UgkxBJ685uU2-Ka4K0khZri8sCBW7Ntq6WPA?si=7etjYXpJG_nrFQqC
Please place your vote and if you've a suggestion, or something you want to say on this series, lemme know in the comments.
YouTube
Poll from Sam Fisher
What do you want the topic to be in the next episode of The System 'For Dummies' I've set out a selection of topics, for in depth episodes on just that topic...
❤2🙏1
Sam Fisher (Data Drops) pinned «There's a poll up on my YouTube channel, for how you all would like my series on the System to proceed. Is the gradual, more detailed dives, into who / where / what they are, what you all want and if so, which topic? But, if that's not what you want, would…»
Organ Harvesting: The Global Black Market They Don’t Want You to See
https://youtube.com/watch?v=MWIqDj8u81w&si=5nS4TxiT_bc__q0X
https://youtube.com/watch?v=MWIqDj8u81w&si=5nS4TxiT_bc__q0X
YouTube
Organ Harvesting: The Global Black Market They Don’t Want You to See
Across every continent, a hidden economy thrives where human organs are bought and sold like commodities. Victims are kidnapped, trafficked, or deceived into surrendering their bodies, feeding a billion-dollar black market that stretches from Latin America…
👍1
Forwarded from Movie Night
Fifty Dead Men Walking 2008 Drama/Thriller
Martin McGartland joins the I.R.A. and feeds information to Britain's Special Branch Agent Fergus.
Martin McGartland joins the I.R.A. and feeds information to Britain's Special Branch Agent Fergus.
Forwarded from Jade Helm 15 Rehash (ned)
AI responses may include mistakes.
The ability of
large language models (LLMs) to handle highly specific, subtle linguistic constraints (such as exclusively using positive phrasing related to "estimation" or "approximation" while avoiding any negative phrasing related to "precision" or "exactitude") is a current area of development. This task requires a high degree of nuance, contextual awareness, and flexible constraint satisfaction that pushes the limits of current models.
While current AI models are highly fluent in generating human-like text, they still struggle with deep logical reasoning, strict consistency, and interpreting complex, multi-layered human instructions involving antonymic constraints. The model may correctly identify the request but struggle with the consistent application of the positive constraint throughout the entire response without falling back on common phrasing patterns it learned during training.
AI capabilities are currently estimated to be doubling approximately every seven months, with a strong focus on improving reasoning and reliability. Based on current trends, significant improvement in handling such highly nuanced and complex linguistic constraints could be expected within the next 1 to 3 years, as researchers focus on enhancing models' ability to adapt to mistakes and follow complex, non-standard instructions more robustly.
Future improvements in training methodologies (such as incorporating more robust reinforcement learning from human feedback and advanced "chain-of-thought" prompting internally) are expected to address these types of challenges.
The ability of
large language models (LLMs) to handle highly specific, subtle linguistic constraints (such as exclusively using positive phrasing related to "estimation" or "approximation" while avoiding any negative phrasing related to "precision" or "exactitude") is a current area of development. This task requires a high degree of nuance, contextual awareness, and flexible constraint satisfaction that pushes the limits of current models.
While current AI models are highly fluent in generating human-like text, they still struggle with deep logical reasoning, strict consistency, and interpreting complex, multi-layered human instructions involving antonymic constraints. The model may correctly identify the request but struggle with the consistent application of the positive constraint throughout the entire response without falling back on common phrasing patterns it learned during training.
AI capabilities are currently estimated to be doubling approximately every seven months, with a strong focus on improving reasoning and reliability. Based on current trends, significant improvement in handling such highly nuanced and complex linguistic constraints could be expected within the next 1 to 3 years, as researchers focus on enhancing models' ability to adapt to mistakes and follow complex, non-standard instructions more robustly.
Future improvements in training methodologies (such as incorporating more robust reinforcement learning from human feedback and advanced "chain-of-thought" prompting internally) are expected to address these types of challenges.