Week of March 29, 2026

This Week's Top Videos

Search “Hannah Montana” for something iconic

By Google

This 10-second Google video contains only writing noises with no actual content or insights. Despite 17.6K views, there's zero actionable information for builders—just ambient sound effects that offer no technical knowledge, frameworks, or data.

• Video contains no spoken content or visual information, only background writing sounds

How Elon Thinks

By Founders Podcast

Elon Musk's core philosophy: 'How many people did you help multiplied by how much help you provided each person?' This utility framework drives every product decision at Tesla and SpaceX. Don't start companies for money—start because something useful needs to exist, then 'work like hell' with obsessive product quality.

• Use Elon's utility formula for product decisions: 'How many people did you help multiplied by how much help you provided each person on average?' This mathematical approach clarifies whether you're building something worthwhile.
• Don't start companies for entrepreneurship or money—ask 'What useful thing do you wish existed?' Musk didn't consider risk-adjusted returns, just 'things that need to happen and try to make them happen.'
• When building radically new products, ignore market research—96% of people said they'd never buy a TV when first surveyed. People don't know they want breakthrough technology until it exists.
• The only essential entrepreneurial trait is 'obsessive nature about the quality of the product.' Being obsessive-compulsive about your product is advantageous, not a weakness.
• Combat fear by looking at it directly—'Look fear straight in the eye and it will disappear.' Feel the fear but let your mission's importance drive you to act anyway.
• Focus on creating more value than you consume. Ask yourself: 'Can you have a positive net contribution to society?' This should guide both personal and business decisions.

How Waymo sees through walls

By Stripe

Waymo's LiDAR can detect pedestrians through solid objects by bouncing light under buses and reading "very very noisy reflection" from footsteps. Their AI models then predict pedestrian behavior from these minimal signals. This shows how breakthrough perception capabilities emerge when you combine advanced sensors with purpose-built AI—critical for any builder working on physical-world automation.

• Advanced LiDAR sensors can detect objects through solid barriers by bouncing light underneath them and reading minimal reflections
• AI models can make accurate predictions about human behavior from extremely noisy sensor data—just foot movement reflections were enough to predict pedestrian actions
• Sensor capabilities often exceed human expectations—even experienced engineers are surprised by what their own systems can detect
• Real-world autonomous systems require predictive AI that can anticipate behavior, not just detect objects—knowing what pedestrians will do matters more than just seeing them
• Critical safety scenarios happen at intersections where objects obscure pedestrians—solving edge cases requires sensors that work around physical obstructions

Outcome-Oriented Design: The Era of AI Design

By Nielsen Norman Group

AI is killing traditional interface design—users now specify outcomes instead of clicking through step-by-step processes. Designers must shift from creating static interfaces to 'architecting possibilities' that adapt to individual users. This matters NOW because outcome-oriented design is already changing how products work.

• AI systems introduced intent-based outcome specification, letting users describe what they want instead of manually executing each step through interfaces
• Design is shifting from optimizing for the average user to creating individualized experiences that adapt to specific user requirements
• Designers are becoming 'architects of possibilities'—defining boundaries and frameworks rather than crafting single rigid user paths
• Instead of designing static interfaces, the new role involves orchestrating adaptive experiences that can handle multiple user scenarios
• Core UX skills like user-centric problem-solving and critical thinking become more strategic as AI handles step-by-step interface details
• Traditional vacation planning exemplifies the old model: manually searching flights, hotels, activities across multiple websites and coordinating dates

The Content Strategy Nobody Is Talking About (But Should Be)

By The Futur

Forget chasing viral content—fast fashion brands are more harmful to the environment than big oil, and 'viral' content creates the same disposable dynamic. Top 1% creators become 'correct contrarians' who go against mainstream thinking when they genuinely believe it's wrong. This matters now because authentic, anti-viral content builds dedicated audiences while viral content creates fake engagement prisons.

• Top 1% creators are 'correct contrarians'—they go against mainstream direction when they genuinely believe it's wrong, not as a gimmick but from genuine conviction
• Fast fashion brands cause more environmental damage than big oil companies by producing clothes so cheap it's cheaper to replace than wash them
• Engagement farms create 'fast fans'—when you pay for views and engagement, it stops the moment you stop paying, creating fake audience dependency
• 100 dedicated followers who truly consume your content are more valuable than 1 million fake followers from engagement farms
• Easy success becomes a prison sentence because it lacks the learning and habit formation that comes from working hard for results
• The antidote to viral content strategy is being 'antiviral'—focusing on building genuine connection rather than chasing viral metrics

What’s New in Notion 3.4

By Notion

Notion 3.4 introduces dashboards as a new database view type, custom AI agents that are 35% cheaper to run, and tabs for content organization. The new sidebar redesign creates dedicated spaces for home, chats, and meetings while AI meeting notes now accept custom instructions for personalized summaries. These updates matter now because they transform Notion from a docs tool into a true workspace operating system for teams.

• Custom AI agents are now 35% cheaper to run with new models using up to 10 times fewer credits, making automation more accessible for smaller teams
• New dashboard view pulls together charts, tables, and key metrics into single control panels with dedicated number charts for highlighting KPIs
• AI meeting notes now accept custom instructions to shape format, tone, and accuracy by adding team context details
• Skills feature saves repetitive AI prompts as reusable commands accessible via chat mentions or text highlighting
• New sidebar redesign creates dedicated spaces for home, chats, meetings, and inbox making agent interactions more natural
• Pages now load 28% faster while new archive feature hides stale content from search without deletion