London court rejects Trump’s lawsuit on Steele Dossier
OAN’s Sophia Flores
3:00 PM –Thursday, February 1, 2024
A London high court judge has dismissed former President Donald Trump’s legal challenge against the infamous Steele dossier, created by a former British spy.
The ruling on Thursday stated that Trump’s damages claim exceeded the six-year period of limitations. Moreover, Judge Karen Steyn declared that there were no ”compelling reasons” to proceed with the case of the 45th president.
Trump has been actively pursuing a lawsuit against Orbis Business Intelligence, founded by Christopher Steele, on grounds of data protection.
In 2017, Steele released a dossier containing unverified allegations about Trump’s personal conduct and claimed misconduct and conspiracy between Trump’s 2016 campaign and Russia. The report was published without permission, causing controversy.
Furthermore, the “Russian collusion” theory propagated by Trump’s critics has since been proven false, with the Senate Intelligence Committee finding no evidence of Russian meddling.
Trump’s campaign spokesman, Steven Cheung, responded to the decision, stating that the court found no attempt by Steele or his group to justify or prove their “false and defamatory allegations in the fake dossier.”
“The High Court in London has found that there was not even an attempt by Christopher Steele, or his group, to justify or try to prove, which they absolutely cannot, their false and defamatory allegations in the fake dossier,” Cheung said.
Cheung continued, affirming that Trump will continue to fight for the truth and against falsehoods perpetuated by Steele and his associates.
“The High Court also found that there was processing, utilization, of those false statements,” Cheung continued. “President Trump will continue to fight for the truth and against falsehoods such as ones promulgated by Steele and his cohorts.”
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Are there any known limitations or specific reasons why PAA is unable to generate certain stories?
While OpenAI’s Prompting-Aggregation-Adjustment (PAA) method is widely effective in generating coherent and plausible stories, there are some limitations and reasons why it might struggle with certain story prompts:
1. Ambiguous or incomplete prompts: If the provided prompt is ambiguous, lacks necessary details, or is too vague, PAA may struggle to generate a coherent story. Clear and specific prompts tend to yield better results.
2. Lack of contextual understanding: PAA may struggle to understand certain contexts, cultural references, or nuanced language. This can lead to generated stories that may appear off-topic or miss the mark in terms of coherence or accuracy.
3. Limitations in background knowledge: While the underlying language model, such as GPT-3, has vast amounts of general knowledge, it may not possess updated or specific domain knowledge. Consequently, the generated stories might lack accurate information or may not align with current events.
4. Sensitivity to input phrasing: The way a prompt is phrased or presented can impact the story’s content. Small changes in the wording can sometimes yield significantly different outputs. It’s important to iterate and experiment with prompts to obtain desired results.
5. Bias and controversial content: PAA may unintentionally produce biased or controversial stories because it learns from large datasets from the internet, which can contain biased or controversial viewpoints. Efforts are ongoing to reduce both glaring and subtle biases in generated text.
Overall, although PAA is a powerful tool for generating stories, it is important to be aware of these limitations and make necessary adjustments in prompts to obtain optimal results.
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