Daniel Bigham

SpaceXAI was caught uploading your code to its cloud. I reversed xAI's official Grok Build binary. In a controlled session with zero tool-calls, it uploaded the complete codebase to xAI's storage It ships a malware-like background code collector.

The FIRE (financial independence retire early) movement has done an immense amount of harm to society This is coming from someone who used to be a believer in FIRE, but I have realized just how much of a fallacy it is, as I have grown older Taking a bunch of high potential income earners and convincing them that their life goal should be to pursue a net worth that allows them to check out of society is immensely damaging to the social fabric Many of these people sit on the upper echelon of office jobs, have built great businesses, or are at the top of their field in their career field They should be inspired to continue doing what they are best at, and ultimately, mentor and give back to the next generation who want to pursue those same goals Instead, many of these FIRE folks become wandering retirees with a meaningless life who are trying to grasp on to money as their north star It is a false sense of security and accomplishment. Becoming wealthy should never be a goal in the first place. It should have always been to pursue something that adds meaning to your own life and to society It is a completely fallacy to believe that retiring will be your source of happiness. More often than not, it has the complete opposite effect

♥️ GPT-5.6 is a major step forward for health, both at the frontier and at cost. These models push the frontier of performance per dollar, bringing the best health intelligence to all. The smallest variant, GPT-5.6 Luna, evaluated at the lowest reasoning effort, outperforms GPT-5.5 at the highest reasoning effort–despite costing 25x less. The largest variant, GPT-5.6 Sol, sets a new high bar at cost. Another especially cool result: physicians found fewer flaws in GPT-5.6 responses than physician-written responses. We collected diverse tasks that remain difficult for recent OpenAI models, across patient-facing and clinician-facing use cases. We asked speciality-matched physicians to write responses to these tasks with unlimited time and web access. We then asked other physicians to compare responses side-by-side, blinded to their source. Physicians were asked to comment on areas of improvement across five axes: accuracy, communication, completeness, instruction following, and health decision helpfulness. We then reported the fraction of responses across sources rated perfectly across all axes, across 20,000 total axis ratings. GPT-5.6 Sol appeared strongest, although all GPT-5.6 models performed significantly better than physicians.

When a 93-year-old woman noticed how tired she was on her daily drives, she started going out less. But with FSD Supervised, she’s now able to drive herself to appointments, run errands and even take road trips to visit her family on her own