At any other time in my life, this would be a 5-alarm fire scandal. People would be going to jail. Now, it’s Tuesday: A 25-Year-Old With Elon Musk Ties Has Direct Access to the Federal Payment System
- Despite reporting that suggests that Musk’s so-called Department of Government Efficiency (DOGE) task force has access to these Treasury systems on a “read-only” level, sources say Elez, who has visited a Kansas City office housing BFS systems, has many administrator-level privileges. Typically, those admin privileges could give someone the power to log into servers through secure shell access, navigate the entire file system, change user permissions, and delete or modify critical files. That could allow someone to bypass the security measures of, and potentially cause irreversible changes to, the very systems they have access to.
P33
- Found some good papers about modern sortition
GPT Agents
- More Discussion section
SBIRs
- 9:00 standup
- Write two-way rotate/translate method. Need to build a 4×4 matrix. Looks like I might have something in my old PyBullet code. Nothing there, but wrote a nice little class:
class FrameMapper:
#{"radians": rads, "degrees": degs, "distance": dist, "offset": source_v}
radians:float
degrees:float
distance:float
offset:np.array
fwd_mat:np.array
rev_mat:np.array
def __init__(self, source_v:np.array, target_v:np.array):
self.offset = source_v
unit_vector1 = np.array([1, 0])
vector2 = target_v - source_v
self.distance = np.linalg.norm(vector2)
unit_vector2 = vector2 / self.distance
dot_product = np.dot(unit_vector1, unit_vector2)
self.radians = np.arccos(dot_product) # angle in radian
self.degrees = np.rad2deg(self.radians)
cos_a = np.cos(self.radians)
sin_a = np.sin(self.radians)
self.fwd_mat = np.array([[cos_a, -sin_a], [sin_a, cos_a]])
cos_a = np.cos(-self.radians)
sin_a = np.sin(-self.radians)
self.rev_mat = np.array([[cos_a, -sin_a], [sin_a, cos_a]])
def to_calc_frame(self, point:np.array) -> np.array:
p = np.copy(point) - self.offset
p = np.dot(self.fwd_mat, p)
return p
def from_calc_frame(self, point:np.array) -> np.array:
p = np.copy(point)
p = np.dot(self.rev_mat, p)
p += self.offset
return p
def to_string(self) -> str:
return "Offset: {}, distance: {}, angle = {}".format(self.offset, self.distance, self.degrees)
viztales 