🕶️ MCP Server Shadow, ☀️ ASU+GSV Insights, 🐬 Google Wants to Speak Dolphin
Volume 23
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We’re building the future of learning, out loud.
➡️ Ever wondered how top engineers build AI agent infrastructure? Last week, Robert Sharp cast a Shadow on how he powers AI agents with the MCP server. Spring Boot, AWS with S3 and Lambda, real-world microservice scaling challenges - it was all there, unfiltered and packed with practical insights.
This Shadow was exclusive to Silicon Society members, but we're happy to send you (our newsletter crew!) the recording. Simply email to get access.
➡️ SiSo attended the ASU+GSV Summit last week. We know not everyone could make the trek to SD, so here are a few takeaways on the future of upskilling:
People want experiences that feel effortless but impactful, they want clear outcomes, modular learning, and guidance from people who’ve actually done the work.
Real-world exposure is becoming essential; job shadows and hands-on experiences aren’t just “nice to have” anymore.
The best tools help you get unstuck, stay motivated, and keep moving toward your goals faster.
AI is bringing in the era of personalization - personalized learning, personalized assessments, and faster results. We’re into it.
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Curated media from the past few weeks:
Google released a comprehensive prompt guide aimed at enhancing users' interactions with AI tools like Gemini. This free resource starts with basic zero-shot examples and progresses to advanced techniques such as Chain-of-Thought (CoT), ReAct, and Tree of Thoughts. It also offers specialized prompt patterns for coders, making it valuable for both beginners and experienced users.
🗯️Quotable Bit: “Crafting the most effective prompt can be complicated. Many aspects of your prompt affect its efficacy: the model you use, the model’s training data, the model configurations, your word-choice, style and tone, structure, and context all matter.”
Google created a new AI model for talking to dolphins
If you haven’t heard, Google’s diving deep, literally, into dolphin communication with a wild new project called DolphinGemma. Teaming up with the Wild Dolphin Project, they’re using AI (yes, the same tech behind their Gemini models) to decode the whistles, clicks, and squawks of Atlantic spotted dolphins. The goal? To see if we can actually speak dolphin someday. It’s open access and coming this summer for anyone who wants to dive in 😉.
🗯️Quotable Bit: “WDP researchers believe that understanding the structure and patterns of dolphin vocalizations is necessary to determine if their communication rises to the level of a language. ‘We do not know if animals have words,’ says WDP's Denise Herzing. The ultimate goal is to speak dolphin, if indeed there is such a language.”
AI might be scanning your resume. Here’s what job hunters should know
AI is changing the hiring process, from screening resumes to sourcing and chatting with candidates. Nearly half of hiring managers now use AI to evaluate applications, and tools like LinkedIn’s Hiring Assistant aim to match people with roles based on goals, not just keywords. Still, simple formatting and relevant skills remain key. While AI can speed things up, it’s not foolproof - and experts agree that final hiring decisions should remain human.
🗯️Quotable Bit: “The AI providers take a skills-based approach, they’re saying, we’re not using keywords on a resume. We want to be able to create more of a holistic picture and a full view of the individual, so we’re inferring skills.”