Biz Pollinator

Researchers forced Claude, GPT, Gemini, and Kimi to play Civilization VI to completion. What they discovered exposes a terrifying blind spot in modern AI. Playing a massive 4X strategy game to the end requires something entirely different: long-haul execution. Juggling economics, science, military, and diplomacy across hundreds of turns. The goal was to see how AI handles multi-step complexity. Instead, they watched the models repeatedly implode due to two bizarre psychological flaws. Flaw number one: Total situational blindness. In one-third of the games the AIs lost, an enemy was actively marching toward an obvious victory right in front of them. The data was sitting right there. The model simply failed to look. Flaw number two: Severe organizational ADHD. The AIs were great at making grand strategic lists. They would meticulously write down: "Next step, build a city." Then, 10 turns later, they completely forgot they wrote it and did nothing. The researchers realized this isn't a lack of raw intelligence. It’s an allocation failure. We assume that if an AI can ace a math test, it can manage a complex, multi-day project. It can't. When tasks stretch across a long horizon, the model's internal attention drifts. It loses the thread of its own intentions. It drops long-term goals for immediate noise. Everyone is racing to hand over complex workflows, financial portfolios, and autonomous operations to AI agents. We think the bottleneck is making them smarter. but no. The bottleneck is making them remember what they were doing ten minutes ago.

Researchers mathematically proved that AI will cause something worse than mass unemployment. It’s called “The Tragedy of the Cognitive Commons." For the last three years, everyone has obsessed over a single question: Will AI steal our jobs? That’s the wrong question. A breakthrough research paper just exposed a much darker reality. The real danger is that AI will quietly destroy the human capacity to do anything well. Here is how the it works. Every industry relies on what researchers call the "Cognitive Commons”, a shared pool of deep professional expertise that regenerates itself generation after generation. How is that expertise built? Through friction. Through doing the boring, difficult, junior-level work. Through manual trial and error. That is how you build "Internalized Mastery." When companies adopt AI to automate entry-level work, the logic looks airtight on a quarterly balance sheet. Cut costs. Speed up output. Skip the grunt work. Every individual company is making a rational choice. But collectively, they are draining the pool dry. When you eliminate junior roles, you destroy the pipeline that creates senior experts. The researchers call the result the Validation Tether. Effective human oversight of AI depends entirely on deep domain expertise. As professionals increasingly delegate thinking to machines, they lose the mastery required to spot when the AI is wrong. The experts validating AI outputs today look competent. The terrifying question is: Who comes after them? When the current generation of veterans retires, who will be left with the skills to audit the systems running our economy? Nobody. We are trading our long-term intellectual independence for short-term productivity boosts. Every time you let AI bypass the struggle, you are borrowing expertise from the future. And the interest rate is your profession's ability to think for itself.

Some of the best business advice comes from people sharing their failures, not just their successes.

Your new job in the AI era is to onboard and manage AI agents. Here's my new deep dive on how three AI-native companies - @linear, @tryramp, and @factoryai - put this principle into practice: → @thenanyu (Head of Product, Linear): "You’ll have AI team members that you can assign tasks to and talk to just like how you talk to people." → @geoffintech (CPO Ramp): “If you’re not using Claude Code, no matter what your role is, you’re probably underperforming.” → @EnoReyes (CTO Factory): “We codified product management, frontend UI, data analysis, and more into reusable skills that any employee can invoke.” I'm really proud of this one — it's packed with real tactics you can act on today to become more AI-native. 📌 Read the full deep dive now: creatoreconomy.so/p/your-new…

Excited that Salesforce is acquiring @Informatica for ~$8B—uniting the #1 AI CRM with the #1 AI MDM & ETL to power Agentforce, Data Cloud, Tableau, MuleSoft & Customer 360. Together, CLAIRE and Einstein forge the ultimate AI-data platform: trusted, explainable & built to scale. See details here: investor.salesforce.com/news…

A new era for New Castle🍻🍸! Neshannock Creek Brewing, Union Station Craft Distillery, and The Confluence unite to revitalize nightlife, offering craft beverages & exciting events this season. Explore what’s brewing: bevnet.com/pr/2024/11/19/bre… #CraftBeer #Distillery #NewCastlePA #EventStrip #CheersToCommunity