Nikolas Weber
ChatGPT Responds Better with Tip Incentive
GettyImages Sues StabilityAI for Copyright Infringement
Meta's AI Chief on the 'AI War' and Nvidia's Role
A new study suggests that ChatGPT provides more detailed and accurate responses when there is a tipping incentive involved. The study was conducted by a programmer who experimented with different approaches to interacting with the chatbot.
Tipping Experiment: The programmer tested ChatGPT with the promise of tips ranging from $20 to $200, depending on the quality of the response. The chatbot provided longer and more detailed responses when there was a financial incentive involved.
Refusal to Accept Tips: Despite the incentive, ChatGPT refused the tip at the end of the experiment, stating that user satisfaction was reward enough.
Impact of Incentive on Performance: The study suggests that the tipping incentive can influence the quality of ChatGPT's responses, although the chatbot did not mention the tip until the programmer brought it up.
This study highlights the complexity of language models' behavior such as ChatGPT and how different interaction approaches can influence their responses. The research also suggests that the perception of incentives, even if not real, can affect the quality of AI-generated responses.
A UK court has ruled that Getty Images' lawsuit against Stability AI, creator of Stable Diffusion, can proceed to trial. Getty alleges that Stability AI used its copyrighted material to train AI models.
Court Decision: The Business and Property Courts of England and Wales, under the High Court of Justice, decided on Friday that Getty's claim that the startup used its library of copyrighted images to train the Stable Diffusion model should be further investigated.
Stability AI's Arguments: Stability AI argued that the case should not be heard in a UK court, claiming that no one involved in the training or development of Stable Diffusion was based in the UK. The company also stated that it trained the model using cloud computing power based in the US, provided by AWS.
Inconsistencies Found: Judge Joanna Smith ruled that the evidence from the company and Stability AI's CEO, Emad Mostaque, "raises suspicion that the evidence is inaccurate or incomplete; at least suggests a clash of evidence". The court pointed to Mostaque's media appearances, where he said that Stability helped "speed up" the UK residency applications of Russian and Ukrainian developers working on Stable Diffusion.
Another Lawsuit in the US: Getty Images also has another copyright infringement lawsuit against Stability AI in the United States.
This case highlights the legal and ethical complexities involved in using copyrighted material to train artificial intelligence models, especially in a global context with different jurisdictions and copyright laws.
Yann LeCun, Head of AI at Meta, expressed his opinions on the current state of artificial intelligence (AI) and quantum computing during a recent event to celebrate the 10th anniversary of Meta's Fundamental AI Research (FAIR) team.
Nvidia's Domination in AI: LeCun commented on Nvidia's control in the AI hardware industry, referring to an "AI war" where Nvidia is "supplying the weapons". Nvidia has become the most valuable chipmaker in the world, largely due to its GPUs becoming the standard hardware for training large language models, such as ChatGPT.
LeCun's View on Humanoid AI: LeCun maintained his position that we need to achieve "dog-level" and "cat-level" AI before humanoid AI becomes possible. He did not give predictions on when these initial milestones will occur.
Comparison with Elon Musk and Jensen Huang: Elon Musk recently predicted that a "digital god" would arrive in the next three to five years. Nvidia CEO Jensen Huang stated that AI would be able to conduct tests in a "fairly competitive" manner with humans in the next five years.
LeCun's Skepticism about Quantum Computing: Unlike competitors like Google and Microsoft, Meta is not actively pursuing quantum computing. LeCun expressed that, while quantum computing is a fascinating scientific topic, he believes the technology is not yet ready and that the problems it can solve are more efficiently addressed with classical computers.
Microsoft's Partnership with Photonic: Meanwhile, Microsoft has entered a $100 million partnership with the Canadian quantum computing company Photonic to bring to market a fully functional, fault-tolerant quantum network system in the next five years.
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