Collective Intelligence: How Shared Knowledge Makes Everyone Smarter
“The best way to cheer yourself is to cheer somebody else up.”
― Albert Einstein
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📚 3 Good Recommendations
Collective Intelligence: How Shared Knowledge Makes Everyone Smarter
by Glasp (12 mins)
Collective intelligence depends on conditions, not smart individuals. Research shows group performance relies on equal participation, social sensitivity, and diverse perspectives—not high IQs.
Four requirements for success: diversity, independence, decentralization, and proper aggregation. Without these, crowds produce groupthink and misinformation.
AI amplifies but can’t replace human judgment. The future is human-AI collaboration—AI synthesizes patterns while humans provide the attention and context that feed collective knowledge.
The Google Capital Company
by Ben Thompson (11 mins)
Google as the new Berkshire model: Just as Buffett used See’s Candies profits to fund capital-intensive BNSF Railway, Google is using its high-margin advertising cash to build out AI/cloud infrastructure—betting on larger absolute dollars over relative margins.
Berkshire’s $10B bet: Alphabet is raising $80B in equity, with Berkshire finally investing in Google. The signal: AI compute demand is massive, and Google’s TPU advantages make it the best vehicle for deploying Berkshire’s $373B cash pile.
Cash wins the compute race: When compute capacity becomes the bottleneck, the company that can deploy the most capital wins—and Google’s combination of ad revenue, equity issuance, and chip infrastructure positions it to dominate.
Things I Think I Think... The New Internet Era
by Ted Neward (6 mins)
AI is a tool, not a destination: Like electricity and the internet before it, companies succeed when they treat AI as a means to an end—not the end itself.
Diversified giants survive; pure-play AI won’t: Apple, Microsoft, and Meta have fallback products. OpenAI and Anthropic, branded entirely around AI, will likely collapse and get acquired.
Expect broad fallout: VC debt unwinding could rival the sub-prime crisis, NVidia’s GPU dominance will erode, and public backlash against AI will create PR problems for AI-centric brands.
📣 Community Updates
🟥 Export Kindle Highlights via the Glasp API:
You can now export your Kindle highlights programmatically through the Glasp API. See the docs here.🟦 Kindle Highlights in the Obsidian Plugin:
The Glasp Obsidian Plugin now supports exporting your Kindle highlights straight into your vault. See how here.🟩 Glasp MCP Connector:
We launched the Glasp MCP Connector, so AI tools like Claude and ChatGPT can connect to and read your library directly. Get started here.🟨 Audio Transcription Milestone:
We’ve now transcribed over 70,000 audio sources on Glasp. Turn any video or podcast into highlightable text — give it a try here.
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96 Ferramentas de IA alternativas para 2026: lista organizada por categoria com links para consulta (96 Alternative AI Tools for 2026: List organized by category with links for further information.) by Fabiano Rodrigues
Best AI Tools for Literature Review and Thesis Writing 2026 on iLovePhD
We hope you enjoyed reading this newsletter!
See you next week ;)
Best,
Kei and Kazuki
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Amazing updates including Obsidian Plugin and MCP connector!