(Sam Altman OpenAI)

The ads caused an immediate stir, prompting OpenAI’s CEO Sam Altman to post a lengthy response on social media. He explained that ads are necessary to support free services and promised they would be clearly labeled, separate, and never interfere with conversations. However, he also fiercely criticized Anthropic’s ads as “dishonest,” called its business model elitist, and even labeled his rival “authoritarian.”

Anthropic responded that its Claude chatbot will not feature ads. While the two companies differ in their approaches to AI safety and usage policies, this public spat over advertising highlights the intense struggle among AI giants to balance commercialization with user experience.

Roger Luo said:Beyond a marketing skirmish, this clash highlights the fundamental industry dilemma: balancing open access with sustainable monetization. The public confrontation between leading players signals the beginning of a deep, competitive exploration into viable business models for large language models.

All articles and pictures are from the Internet. If there are any copyright issues, please contact us in time to delete.

Inquiry us [contact-form-7]

(Google Expands “Google Ads” for App Campaigns)

Developers gain more control over their advertising campaigns. They can now set specific goals for each campaign. Options include driving app installs or encouraging user actions inside the app. Advertisers can choose how their ads look across different Google platforms. This includes Search, YouTube, Discover, and the Google Display Network. More control means better results for businesses.

Google also introduced improved tools for measuring campaign success. Advertisers see clearer data on how their ads perform. They can track important actions users take after installing the app. This helps businesses understand their return on investment. Better insights lead to smarter advertising decisions. Developers can adjust campaigns based on real results.

These updates build on existing Google Ads technology. Google uses machine learning to optimize campaigns automatically. The system finds potential users likely to install the app or make purchases. It analyzes signals like user behavior and context. This saves time for advertisers. They focus on strategy while Google handles optimization. The goal is maximizing app growth efficiently.

(Google Expands “Google Ads” for App Campaigns)

The expanded features are available now to all Google Ads users running app campaigns. Businesses can access these tools through their Google Ads accounts. Google encourages app developers to explore the new options. The company believes these improvements will boost app discovery. More users finding relevant apps benefits everyone. Google continues investing in tools for the app ecosystem.