Bill Gates’ Bold Philanthropic Vision: Shutting Down the Gates Foundation by 2045

by News Editor

May 9, 2025

In a remarkable announcement, Bill Gates has shared his determination to distribute nearly all of his $168 billion personal wealth and close the Gates Foundation by December 31, 2045. Gates, at 69, emphasizes his commitment to solving global issues, insisting his legacy will not be defined by wealth. His goal is to be removed from the world’s richest list, a pledge he’s upheld over the years.

Since its inception in 2000, the Gates Foundation has dispersed over $100 billion globally, addressing health, poverty, and climate change. With plans to increase the annual budget from $6 billion to $9 billion, there’s an expectation of contributing an additional $200 million in the years leading up to 2045, subject to market conditions.

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Gates aims to combat preventable diseases, bolster education, and break poverty cycles in Africa. However, he stresses the critical need for governmental partnerships, highlighting a concerning trend of aid budget reductions. No philanthropic endeavor can singularly bridge this financial gap, a sentiment echoed during discussions of large-scale geopolitical financial strategies like Hellenic Bank’s recent commitments to green financing.

Influenced by his mother and collaborators like Warren Buffett, Gates is an optimist about the future, fueled by technological and healthcare advances. Reflecting on Andrew Carnegie’s notion that dying rich equates to disgrace, Gates encourages fellow wealthy individuals to increase their philanthropic engagements.

Hope in Future Innovations

While steadfast in his purpose, Gates remains inspired by technological advancements, including the burgeoning field of artificial intelligence. Despite these optimistic prospects, Gates humorously rebuffs any notion of indulgence, asserting that every dollar should serve a beneficial societal purpose.

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Meta Unveils Muse Wonder Models In A Bid For Frontier AI Leadership

by THEFUTURE.TEAM

October 13, 2026

Meta has introduced two new AI models, Muse Wonder and Muse Wonder Full, signalling a more ambitious move into frontier AI. The releases build on Muse Spark but target more demanding tasks, including coding, while placing greater emphasis on long-term memory and personalised assistance.

Larger Models Target More Demanding Tasks

Unlike Muse Spark, which was designed for low latency and lightweight use, Muse Wonder and Wonder Full are significantly larger and, according to Meta, more capable. The company reports stronger benchmark performance and improvements on demanding workloads, including coding.

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According to Meta’s model card, both models achieved benchmark results comparable to Fable 5.1 and GPT-6 Astra in the company’s internal testing. Meta described the release as “the next step on our scaling ladder and a major leap toward personal superintelligence” in its announcement.

Pricing Reflects Meta’s Frontier Ambitions

The models’ pricing places them in the premium AI segment. Through the Meta Model API, Muse Wonder will cost $4 per million input tokens and $20 per million output tokens, putting it in a similar pricing tier to GPT-6 Sol and Opus 5.5.

Muse Wonder Full, by contrast, will not be offered through the API. Meta says it will be exclusive to Muse Code subscribers, tying access to its most advanced model to a premium product. Both models will also power the Muse agent.

Long-Term Memory Takes Centre Stage

Meta is increasingly positioning its AI strategy around assistants that can support users over time rather than respond only to individual prompts. A central part of that approach is what the company calls “active memory”: the ability to retain, organise and synthesise information provided by users across extended periods.

Meta points to the MemoryBench benchmark, which evaluates systems designed for continual learning and memory construction. The company says Muse Wonder now outperforms Fable, Opus and Astra on this measure.

“We put a tremendous amount of effort into making sure your model can remember what’s important to you over days, weeks, months, and beyond,” research scientist Kavya Kopparapu said in a launch video.

New Models Follow Meta’s AI Reorganisation

The launch is also significant within Meta’s broader AI strategy. It is the company’s first frontier-model release since Scale AI founder Alexandr Wang reorganised its AI operations in August 2025. Meta has since introduced Muse Spark and the Muse agent, while making fewer high-profile model announcements than competitors such as OpenAI and Anthropic.

The new models were trained at Meta’s Prometheus data centre in central Ohio, which came online earlier in 2026, according to the company. The facility highlights the growing importance of infrastructure in the race to develop advanced AI systems, where performance depends not only on algorithms and data but also on computing capacity, data-centre investment and access to capital.

As competition intensifies, Muse Wonder and Wonder Full represent a broader bet on larger models, persistent memory and premium AI products. Their longer-term significance will depend on how their reported capabilities translate into real-world performance and whether users find enough value to pay for access.

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