Bryce Bjork

@charlieholtz Hyped for this. Please add first class support for cloud environments that support docker!

a little preview of something I've been hacking on

@daltonc @Standard_Cap Looks like you designed the site with codex :)

New product from @Standard_Cap just released, we would love to hear your feedback

codex is absolutely incredible

codex context management and message queuing is so much better than claude code

@predictionbench is very cool

opus 4.5 *really* needs 1m context window

Update: Gemini 3 series does in fact support this!

@OfficialLoganK when will Gemini API support multimodal tool results?

ive never had as much fun building product as I do now with @cursor_ai

You might be surprised how much of the hard work in education isn’t teaching. It’s connecting a thousand moving parts — goals, standards, lessons — into one coherent plan. We built the Curriculum Developer to do exactly that. A tool for coordinators and teachers to design, align, and adapt curriculum in minutes — without starting from scratch

If you insert enough socialism in capitalism but keep calling it capitalism, people get fed up with the problems socialism causes but blame capitalism and then turn socialist.

Grokipedia is really cool... Such a fascinating way to bootstrap a knowledge library: take a public domain artifact, then have AI incrementally enhance each page. Think we could do this for K12 textbooks?

@pmarca says that you don’t have PMF if you aren’t building for a great market. Right now it feels like we have PmF with Lenny.org

The challenge educators face everyday: planning personalized lessons that work for their specific kids. The solution: an AI lesson planner that adapts to your specific needs. That’s why we built Lenny…

We spent a full week building a ghost AI feature that our users will never use, and it might be the most important yet. Instead of having educators create workspaces, we wanted them to search for their school and one-click join. So we parsed public data and used Gemini with search to enhance every record. Worth it?

Maybe a stupid question... but why is there such a big focus on price to earnings ratio in public markets? Wouldn't you rather a company invest their cash flow thus lowering their "earnings"?

Spicy take. I think humanoids are a terrible idea until at least one of these criteria is met. ≥ human level intelligence ≥ human level dexterity If we’re not at parity on at least one, it’s not going to pencil out. Full stop. It’s just not economically viable. How could it be, when you can literally hire a person? Humans are SO absurdly good. For $15–$75/hr I can have a system with the following specs: • 20 W multimodal self-training 100 petaflop supercomputer • 18 years supervised + unsupervised pretraining (publicly funded) • ATP-based biochemical energy system (accepts donuts) • 50 MP stereo vision on 3-DOF gimbal with dynamic range adaptation • 244-DOF compliant actuator network with haptic feedback • Self-healing, self-repairing, self-assembling biological substrate • ~5 million analog force-feedback sensors across digits and dermis • Autonomous recharge via oxidative metabolism (~16 h duty cycle) • Recursive genome-encoded firmware with continuous self-updates • Natural language interface with context-adaptive inference • Multi-objective optimizer (survival, novelty, dopamine gradients) • Emotionally fault-tolerant stochastic control architecture • Multi-sensor fusion: proprioception, vestibular, nociceptive arrays • Adaptive gait control with terrain classification and self-righting • Wideband acoustic output for communication and threat signaling • Olfactory chemical sensing array (volatile organic detection) • Load-bearing skeletal truss with self-lubricating joints • Hydrophobic dermal coating with cellular self-regeneration • Distributed thermal management via vasodilation and evaporative sweating • Predictive maintenance through pain and fatigue heuristics This is how I look at it: can I make money on it versus hiring a person? If you’re not viewing automation through a brutalist economic lens, you’re out of your mind. I’ve said this for years. In the year of our Lord 2025, I’m extremely pro-automation for deterministic problems. Completely against it for nonlinear, non-deterministic, non-closed-form ones. I’ve spent more time telling people what not to automate than what to. This isn’t armchair talk. I’ve built some of the largest manufacturing robots around. 64+ axes of synchronized high-speed motion. Hundreds of I/O channels. Written vel/acc/jerk trajectory planners from scratch. Closed MIMO loops with vision and thermal sensors. 5-axis toolpath generation, laser point-cloud fusion — all the “hard” stuff. Except it’s not. Those are easy because they’re closed-form. The real world isn’t. What blows my mind is how few people grasp the scope difference. This isn’t a gap of degree. It’s a gap of kind. I can look at a millisecond-timed multi-axis servo platform and feel actual joy. Then I watch a vision-guided arm try to unload a dishwasher and I want to scream. A decade ago I said: forget human-replacement automation until AGI is real. I still stand by it. Humans are so good, so brutally efficient, that parity isn’t enough. You need super-parity.

@OfficialLoganK Please address these two Gemini "bugs" x.com/brycedbjork/st…