Personal messages to the AI community
A few frontier labs have tried to tell a story of open models being dangerous because they can be used to launch cyberattacks, and of their “safe” proprietary models with strong guardrails being there to defend us.
As AI increasingly automates coding, it frees up developers to spend time on high-level software development tasks traditionally reserved for senior engineers, like deciding on technical architecture and participating in scoping product requirements.
Over the last two weeks, both the U.S. Government and Anthropic took significant actions that demonstrated their power to control access to AI by restricting what others can do with frontier models.
One of the new, buzzy jobs in Silicon Valley is the AI Forward Deployed Engineer (FDE), an engineer who is embedded within a client organization to help customize solutions, such as building and tuning agentic workflows that suit the client’s particular needs.
Coding agents are accelerating different types of software work to different degrees.
AI-native software engineering teams operate very differently than traditional teams.
I’ve been hearing from people at all levels of seniority about a feeling of job insecurity.
How can businesses go beyond using AI for incremental efficiency gains to create transformative impact?
As amazing as LLMs are, improving their knowledge today involves a more piecemeal process than is widely appreciated.
AI agents are getting better at looking at different types of data in businesses to spot patterns and create value. This is making data silos increasingly painful.
The invention of modern writing instruments like the typewriter made writing easier, but they also led to the rise of writer’s block, where deciding what to write became the bottleneck.
There’s a new breed of GenAI Application Engineers who can build more-powerful applications faster than was possible before, thanks to generative AI.
Everyone can benefit by learning to code with AI! At AI Fund, the venture studio I lead, everyone — not just the engineers — can vibe code or use more sophisticated AI-assisted coding techniques.
In the age of AI, large corporations — not just startups — can move fast. I often speak with large companies’ C-suite and Boards about AI strategy and implementation, and would like to share some ideas that are applicable to big companies.
AI’s ability to make tasks not just cheaper, but also faster, is underrated in its importance in creating business value.
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