OpenAI GPT-5 to Achieve AGI in December

OpenAI's GPT-5 technology, set to be released later this year, is expected to revolutionize the field of AI by making generative AI indistinguishable from a human.

OpenAI, an AI research lab, is expected to roll out GPT-5 technology later this year, which could make generative AI indistinguishable from a human. According to tech entrepreneur and developer Siqi Chen, GPT-5 is scheduled to complete training in December and OpenAI expects it to achieve AGI (Artificial General Intelligence). AGI is a type of AI that can understand and reason like a human, and GPT-5 could be the first AI to reach this level of intelligence. With GPT-5, OpenAI could revolutionize the AI industry and make AI indistinguishable from humans.

Road to Artificial General Intelligence

AGI is a highly debated topic, as it is difficult to determine whether AI systems have achieved the same level of intelligence as humans. AGI is an important concept in the field of AI, as it could potentially lead to the development of AI systems that are able to think and act independently. AGI could also have a major impact on the way humans interact with technology, as AI systems could potentially be used to automate many tasks.

OpenAI recently released its GPT-4 system, a deep learning model that has achieved human-level performance on various professional and academic benchmarks. OpenAI’s CTO, Greg Brockman, recently commented that some people at OpenAI believe that the GPT-5 upgrade could lead to achieving Artificial General Intelligence (AGI). However, he clarified that he did not mean to imply that there is a consensus belief at OpenAI that GPT-5 will lead to AGI. It remains to be seen whether GPT-5 will be able to achieve AGI, but it is clear that OpenAI is making strides in the field of artificial intelligence. On top of CEO of OpenAI, Sam Altman has tweeted the conditions that are needed for the development of AGI, including a “global regulatory framework” to democratically govern the development of AI.

Ethics of AI Research

More than 2,000 tech leaders, including Elon Musk and Steve Wozniak, have signed an open letter calling for a six-month pause on AI labs training systems more powerful than GPT-4. The letter warns that AI systems with human-level intelligence can pose serious risks to society and humanity. The signatories are urging AI labs to take a pause and consider the implications of their work before continuing. They believe that this pause will give the world time to develop ethical guidelines and regulations to ensure that AI is used responsibly.

OpenAI is facing criticism from its own employees over its decision to allow machines to flood information channels with propaganda and untruths. The lab’s employees are also concerned about the potential for automation to take away jobs, including those that are fulfilling. OpenAI has yet to respond to the criticism, which was voiced in a letter from its employees. The letter raises important questions about the ethical implications of artificial intelligence and the potential for automation to take away jobs. As AI systems become increasingly human-competitive, it is essential to consider the potential consequences of allowing machines to control our information channels and automate away jobs.

On the opposing side, some are critical about the effectiveness of “limiting AI Research”. Tech Leaders such as Bill Gates have come out to say that

AI is already changing lives

Competition is on the Horizon

OpenAI is not the only company pushing the limits of generative artificial intelligence research. Recently open sourced options have gained new ground with projects such as Vicuna-13B. Requiring mere $300 to train, this model achieves an astounding 90% of ChatGPT’s quality. It has undergone fine-tuning through Facebook’s LLaMA and further integrated user-shared conversations sourced from ShareGPT.

With the launch, the model’s weights have been made freely accessible to the public, heightening anticipation among enterprises and individuals eager to capitalize on avant-garde tech in natural language processing applications. Utilizing GPT-4 as a judge, preliminary evaluations reveal that Vicuna-13B attains over 90%* of the quality exhibited by both OpenAI’s ‘ChatGPT’ and Google’s ‘Bard.’ Moreover, Vicuna-13B outperforms other models such as LLaMA and Stanford Alpaca in over 90%* of cases.

This performance level is on par with, if not superior to, other open-source models like Stanford Alpaca – a snippet of data that has generated considerable interest within the natural language processing sector, especially among businesses hoping to leverage AI’s most recent innovations.

The researchers’ bold assertions concerning Vicuna-13B’s natural language processing proficiency have sparked excitement as to how it will fare against competing models like ChatGPT. Despite their commonalities, Vicuna-13B presents remarkable efficiency and customization capabilities, solidifying its position as a formidable contender in the NLP realm.

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Steve Gates
Steve shows his dedication by holding 90% in cryptocurrencies, 10% to pay the bills.