Sam Bible 🇺🇦

Over the summer, we have been sprinting on safety priorities; it's more important than ever for capabilities and safeguards to advance together. We have more to do but have made a lot of progress. We are also going to be launching our next model soon. There is an obvious tension here: on one hand, Astra is very good and we are excited to see what people will build with it. We are proud of our work. On the other hand, we are clearly in a phase of development where we believe caution is warranted, and we are pacing our progress to ensure that we can meet the safety standards required by new capability levels. Astra has been done training for a while now and is a significant step forward in both capabilities and alignment. For the models after that, we have been slowing things as needed to ensure that we can do sufficient work on safety and alignment. AI is getting extremely capable; no one fully understands the consequences of this. Managing the transition to a world with abundant and powerful AI to optimize for safety and benefits to people should be one of the highest priorities in the world. It is our highest priority at OpenAI. We have been living with the tension between being excited and anxious about progress for some time, and it is still discordant for us. We know it is much more discordant for other people. And yet, we believe strongly that the world needs to understand where AI is going and how models perform in the real world. More importantly, we believe the world will need aligned AI to manage the future phases of this transition. An iterative loop where society and this technology evolve together is what will lead to the highest chance of getting this right. So we hope you enjoy our new model, and we hope the world continues to take what’s happening in AI extremely seriously.

A growing part of everyone’s job is cleaning up the AI slop from other people trying to do your job

With Grok Bot, it feels like January again. So many breakthroughs. Decisions made in Slack are now instantly detected and annotated in the shaping doc in Notion for my client’s project.

The first “holy %{*#^” is at about 4:20, assuming one didn’t already spend it on the autonomously organizing agent swarm. Strongly recommend watching if you’re interested in security, AI trajectories, or even science fiction, because this is already above genre median in wowza.

For all of you who think this is fake... here's the repo and prompt (in the thread below) that generated this in one shot: github.com/mshumer/Claude-of…

“The purpose of knowledge is action, not knowledge.” — Aristotle

I'm a cardiologist. Let me tell you about the most extraordinary act of patient agency I've ever encountered. In 2024, a tech founder named Sid Sijbrandij was told by his oncologists that they had nothing left. His osteosarcoma — an aggressive bone cancer in his spine — had returned after surgery, radiation, and chemotherapy so brutal he needed four blood transfusions to survive it. He'd exhausted every standard treatment. He wouldn't qualify for clinical trials. The implicit message: good luck. Most people accept that verdict. Sijbrandij — co-founder of GitLab, a company worth $6.4 billion built on the principle that information should be open and transparent — decided to treat his cancer the way he'd built his company. He went founder mode. He quit his day job. Assembled a dream team. Hired a geneticist named Jacob Stern, formerly of 10x Genomics. And then he did something no cancer patient has ever done at this scale. He generated 25 terabytes of his own medical data. Whole genome sequencing. Whole exome sequencing. Bulk RNA-seq. Single-cell RNA-seq across multiple timepoints. Full-body PET/CT scans. Organoid models grown from his own tumor tissue. Immunohistochemistry. Spatial transcriptomics. Every diagnostic modality that exists — run on his specific cancer, at his specific stage, from his specific body. Then Jacob Stern fed it all to ChatGPT

Can confirm.