Climate change and world commerce concurred to expose Mediterranean forest to alien tree and shrub species that find good soil and weather conditions to thrive and have little to no natural counterbalances in the ecosystem. The spread of such invaders threatens local species, reduces local biodiversity and usually unbalances the pre-existent ecosystem, humans included. With unforeseen consequences towards a new balanced condition still unknown and likely with a lesser ecological value.

The species of the Acacia genus originate in the warmer climates of the Southern hemisphere and they’ve been imported as timber, decorative trees and seeds but they also arrive unwittingly in spores coming in ships. Moreover, there is an increased risk factor in Mediterranean forests as Acacias are pyrophytes…

• World Commerce → import alien Acacia genetic material → new land for Acacias to prosper
• Climate change → global warming → heat-tolerant Acacias prosper
• Climate change → drier summers → forest fires → pyrophyte Acacias prosper

So, it’s up to us, humans, to fix this mess 🙂

Enterprises increasingly want to deploy internal AI assistants to support daily operations — from generating client reports and analyzing internal tickets, to preparing financial summaries and extracting insights from documents. While tools like LangChain, LlamaIndex, or Flowise help build context-aware applications, none provide a fully integrated, traceable, and on-premises solution that allows real enterprise systems (like SAP, SharePoint, or CRMs) to safely interact with AI models. The lack of a secure, dynamic context orchestrator prevents organizations from using LLMs effectively, as they cannot easily control what data is exposed, how it’s combined, or whether the model’s responses can be traced back to verified sources. This challenge invites you to design ContextBridge — an open-source middleware layer that connects enterprise systems to LLMs in a controllable, extensible, and privacy-focused way.