2026-05-18 Social General Briefing Summary

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A solar plant in Minnesota planted flowers beneath its panels, and soon monarch butterflies and dozens of new plant species began to appear (r/news)

2 Navy jets crash during air show in Idaho, 4 crew members eject safely (r/news)

Latest militant attacks on schools in Nigeria leave more than 80 children missing, officials say (r/news)

Zelenskyy Confirms Ukraine Was Behind Massive Moscow Drone Strike (r/worldnews)

Who destroyed their own career within seconds by being an idiot? (r/AskReddit)

TIL in 2014, Ben Affleck received a lifetime ban from the blackjack tables at the Hard Rock Hotel & Casino in Las Vegas after surveillance footage showed him counting cards during a high-stakes game. Security informed him he was “too good” and classified him as an advantage player. (r/todayilearned)

2026-05-18 Social Tech Briefing Summary

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Tokenmaxxing is a problem and it makes actual legitimate workers look bad. (Blind)

Microsoft AI vs. Microsoft CoreAI WLB (Blind)

Google L7 or OpenAI L5? (Blind)

A security researcher says Microsoft secretly built a backdoor into BitLocker, releases an exploit to prove it (r/technology)

An AI hate wave is here (r/technology)

LinkedIn user hides AI prompt injection in bio to force recruitment spam to be sent in Olde English prose — bots also also manipulated to address user as ‘My Lord’ (r/technology)

LeetCode MEDIUM 442 Find All Duplicates in an Array Summary

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Quick facts

Problem gist

The input is an array nums of length n. Every value is in the range 1 through n, and each value appears either once or twice. The task is to return every value that appears twice.

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Scientific American 202509 Cosmic Tornado Summary

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A newborn star’s violent surroundings

The article uses a striking James Webb Space Telescope image to explain a brief, turbulent phase in star formation. The object at the center of the story is HH 49/50, a Herbig-Haro object in the Chamaeleon I Cloud complex about 625 light-years from Earth. Its nickname, the “cosmic tornado,” comes from the way hot gas and dust appear twisted into a long, curling structure.

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Techmeme 20260518 NextEra-Dominion Deal Signals Era of AI Utility Mega-Mergers Summary

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Techmeme surfaced this May 18, 2026 story in its Techmeme cluster, and the original article is Bloomberg’s NextEra-Dominion Deal Signals Era of AI Utility Mega-Mergers. The same cluster pulled in useful supporting reporting from DatacenterDynamics, Axios, and Utility Dive.

Why a Utility Merger Became an AI Story

NextEra’s planned acquisition of Dominion is not a software story, but it is one of the clearer signs that AI is changing the physical shape of the technology industry. The deal would combine Florida Power & Light’s parent company, already the largest US utility by market value and a huge renewables developer, with the dominant utility serving Virginia’s data center corridor. That turns an electricity merger into an AI infrastructure event.

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The Economist 20260425 Trumpian psychedelics Summary

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This summary covers The Economist’s April 25th, 2026 Business article listed in the contents as Trumpian psychedelics and published under the headline Altered state.

The article argues that Donald Trump’s sudden embrace of psychedelic medicines could accelerate a promising field, but in a way that exposes a deeper problem in American drug policy. Psychedelics may help treat depression, PTSD, addiction and anxiety. The issue is not whether the field deserves attention. It does. The issue is whether treatments should be pushed forward because the evidence is strong, or because they have caught the eye of the president and his circle.

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Uber 20260514 Beyond Prediction Solving the Multiple Knapsack Problem at Scale How Uber Optimizes Incentives Summary

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What happened

Uber’s official engineering blog published Beyond Prediction: Solving the Multiple Knapsack Problem at Scale: How Uber Optimizes Incentives, a May 14, 2026 post about Tarot, Uber’s internal targeting platform for allocating incentives under large-scale marketplace, budget, and user-experience constraints.

The post is interesting because it treats incentive targeting as an optimization system rather than a ranking model. A simpler growth stack might ask which offer has the highest predicted effect for each user. Uber’s problem is harder: millions of users, many possible incentives, multiple lines of business, separate quarterly budgets, concurrent campaigns, and a hard limit on how many offers a person should see. At that scale, a locally strong prediction can be globally wrong if it consumes the wrong budget, blocks a better incentive, or improves one marketplace objective while harming another.

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2026-05-17 Social General Briefing Summary

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Maldives military diver dies while trying to recover scuba diving victims in underwater cave: Officials (r/news)

Humpback whale released after spectacular rescue effort found dead (r/news)

At least 3 killed, numerous residential buildings hit in mass drone attack on Moscow region (r/worldnews)

North America’s largest commuter rail system shuts down as workers strike (r/news)

What industry is actually a complete scam, but everyone accepts it? (r/AskReddit)

2026-05-17 Social Tech Briefing Summary

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Anthropic hiring is basically closed to the public (Blind)

Stock up 17%. Cisco still firing people… (Blind)

Users turn to jailbreaking their older Kindles as Amazon ends support (r/technology)

Palantir Says SaaS Is Dead (r/technology)

America’s productivity boom started before AI, and a Stanford economist who decoded the Great Resignation says working from home is the reason why | Fortune (r/technology)

GitHub 20260515 Building a General-Purpose Accessibility Agent and What We Learned in the Process Summary

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What happened

GitHub’s official AI & ML blog published Building a general-purpose accessibility agent and what we learned in the process, a May 15, 2026 post about piloting a Copilot-backed accessibility agent that answers engineer questions and reviews front-end pull requests before accessibility defects reach production.

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