Last summer, Van Robichaux ran for the board of directors of the Writers Guild of America West. Out of 17 candidates, he was the only one who raised a concern about artificial intelligence in his campaign statement.
“As far as I know, this issue is not on the radar of anyone else running for the board and while I might sound like a paranoid lunatic talking about it today, in 10 years I’m confident you’ll be glad I brought it up now,” he wrote.
He did not win.
AI has since become the hottest topic in the creative economy, spurred by the release of models like Stable Diffusion last August and ChatGPT in November. Across disciplines – graphic design, animation, acting, music, writing – artists are terrified of being replaced by robots.
“I think they’re right to be concerned,” said Bruce Schneier, a lecturer in cybersecurity at the Harvard Kennedy School of Government.
“As far as I know, this issue is not on the radar of anyone else running for the board and while I might sound like a paranoid lunatic talking about it today, in 10 years I’m confident you’ll be glad I brought it up now,” he wrote.
He did not win.
AI has since become the hottest topic in the creative economy, spurred by the release of models like Stable Diffusion last August and ChatGPT in November. Across disciplines – graphic design, animation, acting, music, writing – artists are terrified of being replaced by robots.
“I think they’re right to be concerned,” said Bruce Schneier, a lecturer in cybersecurity at the Harvard Kennedy School of Government.
- 5/23/2023
- by Gene Maddaus
- Variety Film + TV
New Delhi, May 6 (Ians) At its best, artificial intelligence (AI) could be a tool to increase the accessibility of political engagement and ease polarisation. At its worst, it could propagate misinformation and increase the risk of voter manipulation, Nathan E. Sanders and Bruce Schneier wrote for The Atlantic.
Sanders is a data scientist and an affiliate at the Berkman Klein Center at Harvard University. Schneier is a fellow and lecturer at the Harvard Kennedy School.
In the time-honoured tradition of demagogues worldwide, the Llm could inconsistently represent the candidate’s views to appeal to the individual proclivities of each voter.
In fact, the fundamentally obsequious nature of the current generation of large language models (LLMs) results in them acting like demagogues, the authors said.
Current LLMs are known to hallucinate – or go entirely off-script – and produce answers that have no basis in reality. These models do not experience emotion in any way,...
Sanders is a data scientist and an affiliate at the Berkman Klein Center at Harvard University. Schneier is a fellow and lecturer at the Harvard Kennedy School.
In the time-honoured tradition of demagogues worldwide, the Llm could inconsistently represent the candidate’s views to appeal to the individual proclivities of each voter.
In fact, the fundamentally obsequious nature of the current generation of large language models (LLMs) results in them acting like demagogues, the authors said.
Current LLMs are known to hallucinate – or go entirely off-script – and produce answers that have no basis in reality. These models do not experience emotion in any way,...
- 5/6/2023
- by Agency News Desk
- GlamSham
Hong Kong, Jan 11 (Ians) A Chinese team has claimed that their new, quantum code-breaking algorithm could dramatically reduce the scale of a practical quantum computer, which has raised eyebrows in the US, media reports said on Wednesday.
The team, led by Professor Long Guilu of Tsinghua University, claimed in a paper (yet to be published) that its new algorithm could reduce the scale of a practical quantum computer to 372 qubits – even less than that of Ibm’s Osprey, reports South China Morning Post.
Osprey operates with “433 qubits and is nowhere near breaking codes”.
Ibm in November last year unveiled a new 433 qubit Quantum processor that has the potential to run complex quantum computations well beyond the computational capability of any typical computer.
Called ‘Ibm Osprey,’ it has the largest qubit count of any Ibm quantum processor, more than tripling the 127 qubits on the Ibm ‘Eagle’ processor unveiled in 2021.
According to the report,...
The team, led by Professor Long Guilu of Tsinghua University, claimed in a paper (yet to be published) that its new algorithm could reduce the scale of a practical quantum computer to 372 qubits – even less than that of Ibm’s Osprey, reports South China Morning Post.
Osprey operates with “433 qubits and is nowhere near breaking codes”.
Ibm in November last year unveiled a new 433 qubit Quantum processor that has the potential to run complex quantum computations well beyond the computational capability of any typical computer.
Called ‘Ibm Osprey,’ it has the largest qubit count of any Ibm quantum processor, more than tripling the 127 qubits on the Ibm ‘Eagle’ processor unveiled in 2021.
According to the report,...
- 1/11/2023
- by News Bureau
- GlamSham
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