Meta has introduced a new pricing model for its Muse Spark AI tool, offering users a 95% discount if they share their prompts and outputs to help train future models. Standard pricing charges $1.25 per million input tokens and $4.25 per million output tokens, but contributor pricing lowers these to $0.10 and $0.20 respectively. This approach aims to address Meta's challenges in obtaining training data, especially after internal backlash over employee data tracking. By incentivizing data sharing, Meta hopes to improve AI tools while encouraging companies to differentiate between proprietary and shareable data. This move also reflects growing competition in AI pricing among major players like Anthropic and OpenAI.
Meta's stock is down over 20% from its peak but shows promise with AI-driven ad growth and new enterprise opportunities highlighted in Q2 2026. Despite legal charges and heavy capital spending squeezing free cash flow, ad impressions and prices rose ...
Meta Platforms unveiled Muse Spark 1.3, an upgraded AI model that its AI chief claims matches the capabilities of leading models from Anthropic and OpenAI. The new version enhances agentic and coding functions and is designed for easier use in everyd...
Meta's stock has declined recently due to high capital expenditures and legal charges, but its AI-driven business model shows strong growth potential. Analysts project revenue reaching $305 billion by 2027, with earnings per share rising, supported b...
The US bond market is experiencing increased volatility and uncertainty as the Federal Reserve has abandoned its forward guidance policy. This shift has led to surging Treasury yields that recent interventions have failed to contain, highlighting fis...
KraneShares Public-Private AI & Technology ETF (CHAT) and Roundhill Generative AI & Technology ETF (AGIX) provide broad exposure to the AI ecosystem but differ in holdings and risk profiles. Since AGIX's inception, CHAT has outperformed by about 60%,...
