AI Fraud Experts, Medical-Grade as a Marketing Ploy - Regulatory Authorities Crack Down on Internet Ad乱象

Recently, issues such as false advertising, exaggerated product effects, and forged expert images have frequently occurred in live-streaming e-commerce and short video sales, drawing widespread social attention. Today, CCTV News conducted an in-depth exposure, revealing many illegal practices that infringe on consumer rights.

Fake "Medical Grade" Products and Fake Experts Are Major Problem Areas

On a certain short video platform, some hosts actively promoted ordinary facial tissues, falsely claiming they met "medical-grade" standards, leading many unsuspecting consumers to place large orders. In addition, multiple fake advertisements using AI technology to synthesize the images and voices of famous experts have been investigated by market regulators.

These AI-faked videos mislead consumers into believing that the products are endorsed by authoritative experts, seriously disrupting market order. At the same time, some common solid beverages have been packaged as medicines with the effect of treating gastritis, and all involved individuals have been legally fined heavily.

Half-Year Campaign to Crack Down on AI Forgery

In response to various problems in the field of online advertising, regulatory authorities have initiated systematic governance from a institutional perspective. The State Administration for Market Regulation has recently launched a half-year campaign to rectify the order of the online advertising market, and for the first time introduced the concept of "ecological governance of online advertising."

This campaign clearly focuses on the key task of rectifying illegal advertising in live-streaming e-commerce and AI-generated advertising, requiring strict crackdowns on the use of AI to impersonate experts and celebrities, and ensuring that AI advertising must be clearly labeled. The Cyberspace Administration of China has also comprehensively advanced the standardization of short video content labeling, making content tags a mandatory step in short video posting, significantly improving the transparency of advertising information.

Pentium 4 Revival: Ancient CPU from 20 Years Ago Can Run Meta Llama 3 Large Model

The YouTube tech channel Fully Buffered recently successfully ran Meta's latest Llama 3.2 3B large model on the 2006 Pentium 4 641 processor, combining modern AI with 20-year-old outdated hardware, demonstrating the fundamental compatibility limits of LLMs. This hardcore test has sparked netizens' reflections, as the evolution speed of Moore's Law has achieved a cross-temporal handshake in the AI era, truly representing the ultimate configuration of hardware archaeology.

AIGCPanel 2.0.0 Major Update: Workflow Engine Opens a New Era of Automated Digital Human Creation

The AIGCPanel 2.0.0 version has undergone significant upgrades, referred to as the most drastic change in its history. Key highlights include: integrating digital human synthesis, voice cloning, and audio-video processing through the workflow engine and CLI command-line tool, solving the issue of fragmented AI creation tools. Logical flow definitions enable a one-click output of finished products, driving a transition from manual assembly to automated production.

Price Drops 75%! DeepSeek V4 Announces Permanent Discount, Ranks First in Global AI Cost-Effectiveness

DeepSeek announced that its flagship large model V4-Pro will have a permanent 75% price reduction, converting the previous limited-time 2.5-fold discount into a permanent pricing strategy. Third-party evaluations show that the model has topped the global AI cost-effectiveness ranking due to this price cut, outperforming U.S. competitors and highlighting the absolute advantages of Chinese AI in terms of cost and efficiency.

Powerful Collaboration! Texas Plans to Build a 2.5 Gigawatt Nuclear and Gas Hybrid Power Plant to Address the Surge in AI Energy Demand

U.S. energy company Blue Energy has partnered with GE Vernova to develop a 2.5 gigawatt hybrid power plant in Texas, incorporating both nuclear and natural gas power facilities to address the increasing electricity demand from AI data centers. The project pioneers the "gas to nuclear" model, using natural gas for quick power supply and gradually transitioning to nuclear energy, effectively addressing the challenges of long approval and construction cycles for traditional nuclear power plants. It provides a flexible and stable power solution for high-energy-consuming industries.