Incumbent design tools avoid disrupting existing user bases to prioritize enterprise contracts and stability.

Cameron expresses disappointment realizing that AI-driven design and coding tools are still quite limited and not a silver bullet.

Figma's AI-driven design-to-code tools are underpowered and not ready for production, especially due to their lack of CMS and database support despite...Show more

Tom argues that Figma’s AI features can’t process multi-layer edits or automatically build components and variants, leaving a gap in design automation...Show more

Both Tom and Cameron find Figma’s multiple AI offerings disjointed and underdelivering on seamless design automation within the core Figma environment...Show more

Tom argues that AI design tools excel at generating futuristic motion graphics and stylized assets but struggle to produce realistic imagery needed fo...Show more

Competition from open-source AI releases like Alibaba’s WAN models will drive Western tech companies to accelerate R&D and improve offerings.

Open-source omni models are crucial when you must control the infrastructure for critical systems like self-driving or on-device AI, as closed cloud m...Show more

Vendors always claim state-of-the-art performance, so you must be skeptical and seek third-party validation for model benchmarks.

Routing user images through a vision model has potential privacy implications that must be considered when deploying local AI pipelines.

Quinn series are the preferred go-to for local open source models due to their flexibility and vision support compared to larger hosted models.

Tom argues that most capital in Western AI firms is shifting from expensive training runs toward inference deployment at scale.

Due to compute constraints, Chinese AI firms are focusing deeply on specialized tasks and models rather than only scaling up general-purpose LLMs.

Companies should optimize their policies and attractiveness to compete in a global talent war since limiting hiring to U.S. workers captures less than...Show more

Even if high-skilled visa holders tolerate risk, their spouses or partners may not, affecting relocation decisions and talent attraction.

Frequent and on-the-run changes to visa policies make it difficult for startups and individuals to plan hiring pipelines and life plans with confidenc...Show more

Argue that China’s new K visa, granting STEM grads and researchers visa rights without employer sponsorship, marks a strategic play to lure global tal...Show more

Emphasize that a visa program’s structure—whether aiming to attract elite talent or restrict flows—should dictate fee levels, lotteries, and point sys...Show more

If U.S. companies move roles offshore to avoid the new visa fee, this could exert downward pressure on domestic wages rather than increase them.

Imposing a $100k fee per new H1B visa disproportionately benefits large tech companies that can absorb the cost while pricing out startups, reducing t...Show more