Go-to-market strategies built on outrage and controversy (rage-bait) attract attention but create a fragile brand. The audience you build is not a community of supporters but a mob waiting for you to fail. This makes it a spiritually and strategically poor choice for sustainable growth.
Instead of relying on unpredictable subscription revenue, intellectuals and academics should leverage their skills for high-value consulting with tech startups. This creates a sustainable economic base to pursue long-term, independent research and writing, mirroring historical patronage models.
Successful collectibles investing goes beyond an asset's intrinsic value or a player's performance. The key is analyzing the collector base's financial stability, their willingness to hold during dips, and whether a few "whales" control the supply—factors that determine market resilience.
Drawing from Chris Dixon's thesis, the initial success of AI tools like Suno is based on their utility for creation (the "tool"). Their long-term viability hinges on transitioning users into a sticky consumption or social network, much like Instagram did with photo filters.
Instead of repeatedly performing tasks, knowledge workers will train AI agents by creating "evals"—data sets that teach the AI how to handle specific workflows. This fundamental shift means the economy will transition from paying for human execution to paying for human training data.
To handle royalties for AI-generated music, platforms can analyze the final audio file to algorithmically determine the likely prompt (e.g., "Taylor Swift singing a Gunna song"). This allows for fair royalty splits between the referenced artists, creating a viable monetization path.
Tech culture is structurally optimistic because its players are invested in each other. Nick Land's philosophy is compelling because it provides a rigorous and unfiltered model of capital acceleration without offering a convenient, marketable solution, satisfying a need for intellectual honesty.
Digital "repack" platforms allow users who "open" a low-value digital card to immediately exchange it for credit at a 20% loss. This card then goes back into the pack pool to be sold again. This creates a high-velocity loop where the house profits from the same inventory repeatedly.
Mondelez spent $40 million with Accenture to build a custom AI video model. This is likely a strategic misstep, as advancing frontier models from companies like OpenAI will quickly surpass its capabilities, making it a poor investment driven by consulting firm sales cycles.
The internet's next chapter moves beyond serving pages to executing complex, long-duration AI agent workflows. This paradigm shift, as articulated by Vercel's CEO, necessitates a new "AI Cloud" built to handle persistent, stateful processes that "think" for extended periods.
As platforms like OpenAI integrate music generation, they'll capture the broad, casual user base (e.g., making a funny song for a chat). This pressures specialized tools like Suno to build defensibility by catering to prosumers and enterprise clients with deeper features, similar to Midjourney's strategy against DALL-E.
Suno's rapid revenue growth isn't just from original compositions. A key driver is users applying new styles (e.g., 1960s jazz) to popular songs (e.g., DMX), creating highly shareable content. This mirrors the viral "Studio Ghibli" AI art trend.