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This week’s 3 Big questions
Can aggressive AI hiring packages ~$2M million dollars outperform strategic investment?
Memories.Aiceo Shawn Shane a Cambridge alum and ex Meta scientist is offering compensation packages of upto $2M million to lure top AI researchers from giants like Meta Google and Entropic. (read more ahead)
The times of India
Business Insider
Are tech VCs doubling down on AI while sidelining early stage innovation?
In Q1 2025 AI startups took over half of global VC funding about $120B billion dollars even as overall deals hit record lows with investors favoring fewer larger bets on proven players over early-stage innovation.
Techcrunch Crunchbase Gfrfund
Are publishers becoming obsolete under AI summary feeds?
With Google’s AI Overviews and Snippet First Search publishers are reporting as much as an 89% drop in referral traffic.
The Guardian
QuickBytes
Prompt: “What if your favorite productivity app had to convince your mom it’s safe?”
A fun test of clarity empathy and persuasion in product messaging
AI Jargon
Concurrency: The ability of an AI system to handle multiple tasks users per request at the same time without slowing down For example: E.g. GPT-4 can manage thousands of chats in parallel.
Reccos (Recommendations)
Read: Algospeak by Adam Aleksic
A Linguist’s guide to how algorithm-driven social Media Reshapes the Way we speak.
Meme Matrix
Startup founders when AI does their job faster, cheap and better. Pokemon’s shocked face
BonusByte
When an AI Becomes the gamer you can’t beat
An AI just beat 99% of human players in Minecraft, not by brute force, but by thinking like a player: setting goals, crafting tools, and even building shelters before nightfall. Researchers say it’s the closest yet to teaching AI open ended problem-solving in virtual worlds.
ToolBench
Insight Extractor
What it is: A smart data miner that scans spreadsheet CSVs from APIs to automatically pull out trends KPIs and anomalies then outputs them as structured JSON for analytics for AI workflows
How can you use it: Hook it up to your data sources let it analyze patterns flag unusual metrics and produce clean chunked chain datasets ready for dashboards RAG pipelines for agent driven decision making.
Good for you if: You are building AI features on top of business data and hate spending hours hunting for insights manually.
RinggLens
Is a $2M AI hiring package worth it?
Shawn Shen, co-founder and CEO Of Memories.ai is offering compensation packages of up to $2M million mostly equity to attract top AI researchers from leading technology companies. This initiative aims to build a specialized team focused on developing AI systems with long-term visual memory capabilities. The compensation packages are designed to be flexible with a combination of cash and equity allowing researchers to take on significant ownership stakes in the company. Shen’s approach reflects a commitment to investing heavily in talent to drive innovation in AI development.
It’s because of the talent war that was started by Mark Zuckerberg. I used to work at Meta and I speak with my former colleagues often about this. When I heard about their compensation packages, I was shocked - it’s really in the tens of millions range. But it shows that in this age AI researchers to make the best models and stand at the frontier of technology are really worth this amount of money,” Shen told Business Insider.
What Ringg thinks: High dollar offers grab headlines but they come with real risks like diluted ownership inflated expectations and the pressure of rapid returns. If you are a founder, pairing bold offers with a compelling mission and culture is key. When startups are throwing millions to build their dream team, it’s a reminder: packing the right idea and bringing in top tier talent pays off.
Credits: The times of India, Business Insider
Last Week in RinggCity:
Are legal teams becoming key leaders in AI strategy?
Will AIS energy efficiency gains be overshadowed by surging demand?
Could multimodal search tools really unseat Google’s dominance?