Recently, the Federal Trade Commission (FTC) of the United States launched an enforcement action called 'AI Compliance Action,' suing five artificial intelligence companies accused of false advertising and fraudulent conduct. The FTC stated that these companies are charged with lying about the capabilities of their software or using AI technology to engage in illegal activities. Note: The image is AI-generated, and the image licensing provider Midjourney has reached a settlement with two of the sued companies, while the other three opted to go to court.

In the Wall Street investment field, Warren Buffett, the CEO of Berkshire Hathaway, is considered a unique investment magnate. Since taking over Berkshire in 1965, the cumulative return rate of the company's A shares he manages has reached 5028429% as of the close on July 10.Buffett's secret to success mainly includes purchasing shares of well-known, time-tested companies with clear competitive advantages. Although this strategy primarily focuses on value stocks, there are also occasionally grow

Recent reports have highlighted a data breach incident involving the OpenAI system, but rest assured that your ChatGPT conversation content is not at risk. Although this hack appears to be superficial, it serves as a reminder that AI companies have quickly become one of the top targets for hackers. According to The New York Times, former OpenAI employee Leopold Aschenbrenner hinted at this hack incident in a podcast. He termed it a "major security incident," but anonymous company sources told Th

Reddit is taking action to prevent AI companies from scraping its content or at least requiring them to pay. Earlier this week, Reddit announced that it is changing its robots exclusion protocol, also known as its robots.txt file. This seemingly dull edit is part of a larger negotiation/battle among content owners eager for AI companies to train their language models.

Reddit has recently announced it will strengthen its data protection measures, directly targeting AI companies and other data scraping tools. This move marks an increasing tension between social media platforms and the artificial intelligence industry.

Artificial intelligence, especially generative AI, is the focal point of technology news in 2024. Services like ChatGPT released by OpenAI and billions in funding have attracted significant attention. However, according to a recent report by venture capital firm Accel and Dealroom analysts, a wave of emerging companies is emerging in Europe and Israel, hoping to make their mark in the field of artificial intelligence.

According to a report by 404 Media, the owner of Tumblr and WordPress.com is in talks with AI companies Midjourney and OpenAI. Automattic plans to share data with third parties, including training data obtained from user posts. The company has scraped all public post content from Tumblr from 2014 to 2023, including content that will not be publicly displayed.

Automattic negotiates with Midjourney and OpenAI to share user posts as training data. Automattic plans to allow users to opt out of sharing data with third parties. Other companies are also collaborating with AI firms to provide training data, leading to protests from creators.

Reddit has generated $203 million in revenue through data licensing agreements with several AI companies. Reddit emphasizes the positive impact of its relationships with AI providers on its IPO prospects. The data from Reddit is crucial for training AI models and has become the focus of the article. AI providers are actively pursuing licensing agreements to acquire high-quality data for model training.

The House of Lords committee stated that tech companies are infringing creator rights by using content without permission. The committee urged the government to address copyright issues and called for action. The development of generative AI has highlighted the urgency of copyright matters, and the government should provide more protection. Creators have claimed their works are being illegally used to train large language models, and the committee suggested that the government update the legislative framework.

Due to poor performance reported by Google's parent company Alphabet, AI-related companies have seen their market value evaporate by $190 billion. Investors are cautious due to technology companies overpromising on AI and lacking clear paths to profitability, resulting in a hit to AI stock prices. Some analysts believe the market decline marks the beginning of AI's troubles, while others worry it signals an overinflated AI market. Microsoft persuaded investors with its commitments to AI services, yet its stock still fell, while Google's parent company fared worse with a 5.6% drop in share price.

OpenAI leads the AI sector with a $6 million salary, provoking widespread social discussion. Entry-level programmers earn as little as $85 per hour, raising concerns over the pay gap. The compensation rankings reveal that companies like DeepMind and Tesla also offer salaries in the millions. The growing demand for talent in the AI field highlights the disparity in pay and roles within the industry. The future of AI development looks promising, presenting significant opportunities for AI professionals.

OpenAI ranks first with an annual salary of $865,000, attracting top AI researchers worldwide. Competitor Anthropic follows closely with an annual salary of $855,000, amidst rumors of a potential merger with OpenAI. Hugging Face, with its open-source approach, offers a salary of $238,000, landing at the bottom but still attracting many researchers. Amazon offers the highest compensation among large tech companies, with an annual salary of $719,000, and negotiable increments of 38%.

There is a new development in the artist copyright infringement lawsuit, as the court dismissed some allegations, prompting the legal team to revise the complaint. The amended complaint details the machine learning process and adds seven new plaintiffs and the new defendant Runway. The new plaintiffs emphasize that the revised complaint helps clarify the technology behind image-generating AI models and protects the rights of those affected. The artists' class action lawsuit highlights that the AI image products sold by the defendant companies are infringing services, drawing industry attention.

AI companies may face the risk of training data exhaustion in the near future, with high-quality text training data potentially running out by 2026. The use of synthetic data may lead to inherent distortion effects in models, as research indicates the risks. A solution may lie in establishing data partnerships to alleviate supply issues through data exchange.

☁️ OpenAI's further commercialization: The article mentions that OpenAI is building a closed-loop ecosystem for GPT commercialization through initiatives like the GPT Store. 💡 AI companies' counterattack strategies: The article analyzes that AI startups should focus on application innovation rather than reinventing the wheel when facing giants like OpenAI. 📈 Strong performance of the GPT series models: The article indicates that the GPT series models currently rank first in traffic among various AI applications.

OpenAI has released an update for ChatGPT, raising concerns about the closure of AI companies. The update may weaken the position of AI firms built around PDF analysis. Some small AI companies could lose business opportunities due to OpenAI's updating initiatives. AI companies may face regulatory constraints, while giants like OpenAI remain in a favorable position. The continuous growth of ChatGPT boosts confidence in the AI industry.

Early investors point out that most AI companies may find it difficult to achieve profitability. With the investment frenzy in the AI field, many investors are merely following the trend rather than genuinely supporting the development of technology. Despite the bright prospects for AI, high costs, particularly those associated with computing power, remain a challenge.

Two tech gurus warn that powerful artificial intelligence systems pose a threat to social stability and demand that AI companies be held accountable for the harm caused by their products. They emphasize the need to understand how to ensure safety before developing more powerful AI systems. Policy recommendations include allocating AI research and development funds for safety and ethical use, and establishing a licensing system.