As an AI language model, I do not have personal opinions on the matter, but here are some significant developments in alternative investment strategies in recent years (in no particular order):

1. Increased focus on impact investing: Investments made with the intention of generating positive social or environmental impact in addition to financial returns.

2. Expansion of private debt: It involves lending to companies outside the traditional banking sector.

3. Infrastructure investing: investing in infrastructure assets such as toll roads, airports, and power generation facilities to provide long-term stable income.

4. Rise of quantitative investing: It involves the use of complex mathematical models and algorithms to analyze data, rather than relying on human intuition and judgement.

5. Growth of cryptocurrencies: alternative assets that operate independently of central bank systems, bringing new investment opportunities and challenges.

6. Crowdfunding: It allows businesses to raise funds directly from the public via online platforms instead of sourcing funds from traditional sources like banks, venture capitalists, or angel investors.

7. Expansion of real estate investing: It involves investing in real estate assets such as offices, warehouses, and shopping centers, among others.

8. Impact of regulation on alternative investments: Stricter regulatory frameworks, such as those arising from the Dodd-Frank Act, have resulted in changes to the kinds of alternative investments that are available.

9. Artificial intelligence: the use of machine learning, natural language processing, and other advanced technologies to gain insights into alternative investments and improve decision-making.

10. Increased interest in liquid alternatives: strategies that work to offer investors the benefits of alternative investing, like low correlation and diversification, in more liquid vehicles, such as exchange-traded funds (ETFs).