Could Shakespeare write like
Agatha Christie? Isaac Asimov?
https://ardjij.com/index.php/ardjij/en/article/view/55
Recreating
Shakespeare: A Qualitative Inquiry into Authorship, Style and
Simulation in the Age of Generative AI
The growing
unification of generative artificial intelligence (AI) into creative
practises has unresolved prolonged assumptions about individual
artistry, authenticity and authorial identity. AI systems are
capable of writing poetry, drama, fiction and other literary texts.
The question is not about whether algorithmic machines can generate
academic texts, but how they reproduce and mirror identities
conventionally associated with human writers. This progress leads to
a wider issue in which a well-known literary voice can be
reconstructed from the patterns found in already-existing works
computationally. Hence, the challenge is to figure out the
relationship between style and authorship, originality and replicated
text or literary recognition and individual artistic autonomy. With
this upcoming backdrop, Shakespeare acts as a specifically targeted
case through which we analyse the AI formation of literary identity.
Shakespeare’s writing style, stylistic characteristics have become
identifiable to an extent that they can be provoked as a model of
machine-generated production. This research paper explores what
happens to the idea of Shakespeare—as writer, stylistic features
and cultural motifs when AI models are tasked with recreating him.
Instead of questioning if AI can generate convincing pastiche, the
paper asks a more significant question. It asks, “what kind of
Shakespeare does AI actually produce and what does the formation
unmask about the identity?” Relying on the poststructuralist
theories of authorship (Barthes, 1967/1977; Foucault, 1969),
computational creativity theory (Boden, 2004), and empirical research
on stylometry and large language model (LLM) style recreation, this
qualitative paper examines AI-driven Shakespeare-recreation projects
— from LSTM and GPT-2 pastiche generators to modern LLM
benchmarking studies. The
investigation finds that AI does not recreate Shakespeare's authorial
mindfulness. It reconstructs an average, decontextualized
"Shakespeare-function". It is a surface level
rhythm of diction, syntax, and meter taken from ancestral, sources,
and biographical peculiarity. This conclusion has implications for
literary pedagogy, digital humanities methodology, copyright law, and
the ethics of algorithmic cultural memory.
Russia should
know…
https://vestnik.msal.ru/jour/article/view/3173
Artificial
intelligence technologies as a means of committing crimes
Modern
information technologies, permeating all spheres of private and
public life, generate not only new opportunities but also
unprecedented threats that require immediate scientific and practical
understanding. This study examines the use of artificial
intelligence (AI) technologies as a means of committing crimes. The
author proposes a classification of crimes committed with the use of
AI based on several forensically significant factors: the type of
technology used, the perpetrator of the crime, and the object of the
criminal offense. The main methods of using AI in the implementation
of criminal intent are examined: both as an integral element of the
crime's method of commission and as an auxiliary means. The changes
that the use of AI in crimes introduces to forensic characterization
are analyzed, particularly in the description of elements such as the
criminal's identity and trace evidence.
A conclusion
is made about the transformation of the criminal landscape and the
need to adapt investigative methods to new challenges.
Looking for a
steady income stream?
https://united24media.com/war-in-ukraine/putin-seizes-three-more-japan-tobacco-businesses-bringing-takeover-to-37-billion-24169
Putin
Seizes Three More Japan Tobacco Businesses, Bringing Takeover to $3.7
Billion
… JTI has
operated in Russia since 1999 and previously controlled up to 40% of
the country’s cigarette market, selling brands including Winston,
Camel, Sobranie, and LD.