Frank Long

Today we're announcing @Corridor's $25M Series A led by @Felicis. More code will be written this year than ever before. At Corridor, securing AI coding at the source, enabling companies to their development without security being a blocker. 🧵

It's been open season critiquing AI app margins Fixating on margins...and ignoring a company's value to its customers, retention and ease of acquisition completely misses the mark @martin_casado & I address what critics get wrong + what really matters👇a16z.com/questioning-ma…

we have completely changed our engineering philosophy @every because of Claude Code we called it Compounding Engineering: Each feature should make subsequent features easier to build, not harder. @kieranklaassen just wrote THE definitive guide to each step of compounding engineering today on @every:

friend of mine in finance has used mcp to automate a lot of his financial research and analysis - recently he built himself a slide gen mcp and said it plugged into claude code works better than any slide gen tool he’s tried github.com/FrankLong1/Sli…

I keep changing my mind about the AI jobs crisis so jotted down 42 notes on where I’m at: 1) You don’t need mass unemployment to inspire mass fear—merely its shadow is enough. Just look at SAG-AFTRA and the port strikes last year. 2) Most AI backlash is economic anxiety coated in a veneer of social justice. Alfalfa farming consumes 19x the water that data centers do; there’s no sound environmental reason to boycott Claude but not GPS. When people say “AI is a moral scourge,” they really mean: I am scared that I won’t be able to pay my bills. 3) To be fair, the labs are definitely trying to automate everyone’s jobs. 4) Carl Benedikt Frey: “There is no iron law that postulates that technology must benefit the many at the expense of the few.” 5) In my last week as a product manager, I realized I didn’t have a single task to document and offboard. My role was relational, not task-based. Someone had to be the fall guy; someone had to herd the cats. 6) The map is not the territory. The org chart is not the org chart. Systems are much more unruly than they appear. 7) A common argument says that AI capabilities are fast but diffusion is slow. But it didn’t take students long to start ChatGPTing all their homework. “Diffusion lag” reflects a lack of product-market fit. 8) The real world is all edge cases, all the time. 9) Increasingly, fewer jobs will look like doing tasks ourselves, and more will involve teaching AIs to do them for us. How can we transfer context to the machine? Can they adopt the values and instincts we’ve evolved over millennia? When you pair with a model, will it remember what it sees? Can you teach taste? Creativity? Learning to learn? This is the great pedagogical project of our time. 10) Both human and machine intelligence seem infinite to me. Here’s the rest: jasmi.news/p/42-notes-on-…

Texas’ power network is only half used. We build for the absolute peak, but on average, the system runs at a little more than 50 percent of its capacity. That gap is a missed opportunity. In my conversation with Nick Chaset, CEO of Octopus Energy US, we discussed how targeted flexibility could make better use of the grid we already have: ⚡ Shifting demand during the 250 to 500 highest-stress hours each year ⚡ Lowering costs by reducing scarcity and strain on the grid ⚡ Allowing more large customers to connect without driving up costs for everyone else The current approach treats each new large load as a potential cost driver. With the right tools and pricing signals, those same loads could help keep rates lower. 🎧 Full episode: tinyurl.com/5n96tkhn 💬 What’s the most effective way for Texas to use its existing grid more efficiently? #TexasEnergy #GridReliability #EnergyPolicy #EnergyTransition #EnergyCapitalPodcast

As AI revolutionizes software development, security needs to keep up. @CorridorSecure is leading the charge in advancing security in the AI era -- led by former colleague @AshwinRamaswami and @jackhcable. Excited to see what's next !

New from @GoldmanSachs Global Institute: "The prevailing narrative frames AI as an energy apocalypse that will overwhelm our electrical grid. We argue the opposite: AI datacenters can become grid assets, unlocking massive capacity currently constrained by outdated peak-demand planning. By aligning AI's computational flexibility with the grid's need for demand response, we can expand capacity immediately using power infrastructure that is already built and paid for. ... AI workloads, with their unprecedented flexibility, represent a unique opportunity to adapt to this new reality. With over $300 billion of annual investment,26 AI infrastructure is providing the economic impetus that hasn't existed for decades to make curtailment participation viable at scale. Curtailment may sound like arcane grid terminology, but it's actually where two core revolutions of our lifetime collide: AI and renewable energy. For tech companies, private equity sponsors, infrastructure developers, and utilities, today's AI curtailment experiments have the potential to become tomorrow's template for a new energy paradigm that unlocks value from existing assets while accelerating both AI deployment and clean energy viability." goldmansachs.com/what-we-do/gol…