Daily Edition · Page 7

THE DAILY INDEX

Technology, AI, software, security, crypto and business

GENERAL

TLDR Marketing

HOW THE SOCIAL MEDIA BAN COULD RESHAPE HOW ALL OF US USE THE INTERNET

The UK's planned under-16 social media ban could force millions of adults to verify their identity just to access major platforms, changing how the internet is used for everyone, not just kids. In Australia, where a similar ban took effect in December 2025, 7 in 10 under-16s who already had accounts still retain some access, raising doubts about how enforceable these rules are. The tradeoff is child protection versus increased data collection, since age verification gives more personal information to the same platforms it aims to restrict.

STOP TRYING TO REPLACE PEOPLE WITH AI

Selling AI as a replacement for people grabs attention but erodes trust with buyers and employees. The data doesn't support the narrative. In one month, 160 companies laid off 28.3K workers, and not a single one cited AI as the reason. Yale researchers also found no measurable job loss from AI across 33 months of labor data. Instead, AI works best as an augment. Top users complete 12.2% more tasks and work 25.1% faster when they know its limits. Companies pushing replacement messaging are already reversing course after quality drops and backlash.

THERE ARE TWO KINDS OF EXPERIMENTERS, ONE FOR SCIENCE AND ONE FOR BUSINESS. WHICH ARE YOU?

There are two kinds of experimenters, one optimizing for scientific certainty and one optimizing for business speed. Strict significance rules like p < 0.05 are designed to avoid false positives, but large-scale studies show they can leave over a quarter of value on the table and sometimes underperform doing nothing. The real issue is decision-making, not testing, since teams stall debating results instead of acting. A better approach is to define intent upfront, either proving superiority or checking non-inferiority, and tune thresholds to the real cost of being wrong.

9 NEW LINKEDIN FEATURES + WHAT TO DO WITH EACH ONE

New out-of-network reach tracking shows which posts actually grow audiences beyond followers. Search now supports natural language for faster ICP discovery. Video returns in a dedicated feed, signaling a stronger push for short-form content. Advice Sessions enables paid 1:1 calls, while Creator Marketplace connects brands with vetted creators for campaigns. Mobile boosting lets users promote posts directly from the app. AI-generated spam is being deprioritized in favor of original POV content. Comments now convert to follows instantly. Connected apps add verified tool usage to profiles as proof of real skills.

HOW SURE IS YOUR AI?

LLMs are probabilistic systems that generate likely answers based on patterns, which makes them fluent but not always correct. They can confidently produce wrong outputs because they don't retrieve truth, they predict it. That works for writing, brainstorming, and conversation, but breaks in high-stakes use cases. Deterministic systems fix consistency but still need verification to ensure correctness. The emerging direction is hybrid models where LLMs generate and formal systems verify. As AI moves into areas like biotech and cyber, “probably right” is no longer enough.

EMPLOYEE ADVOCACY VS INFLUENCER MARKETING: WHY B2B BRANDS NEED BOTH

B2B teams treat employee advocacy and influencer marketing as interchangeable, but they do different jobs and work best together. Advocacy builds trust through employee networks that are 10X larger than brand pages and drives 45% more opportunities and 51% higher quota attainment with minimal cost. Influencer marketing buys fast access to new audiences but requires ongoing spend and fades when campaigns stop. The strongest programs run both in parallel, using influencers for reach and employees for credibility, aligned to the same launch so buyers see consistent signals from inside and outside the company.

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