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Musk clashes with Altman after accusing App Store of favoring OpenAI

In a fiery exchange that unfolded on a late‑night Twitter Space, Elon Musk slammed Apple’s App Store for “favoring” OpenAI, prompting Sam Altman, the CEO of the same company, to retort that the accusation was baseless. The spat, which attracted thousands of live viewers and sparked debate across tech circles, underscores a growing rift between the world’s two most high‑profile AI powerhouses and the platform that governs much of the industry’s distribution.

The spark

The controversy began when Musk, who has been vocally critical of Apple’s approach to AI and data privacy, posted a screenshot of a recent App Store policy update. The update, announced by Apple’s policy team on March 12, tightened guidelines around “large language model” (LLM) services, requiring apps that use external AI APIs to provide on‑device fallbacks and to disclose usage to users. Musk’s caption read: “Looks like the App Store is playing favorites with OpenAI. W

@corintxt
corintxt / afp-chart-style.py
Last active November 25, 2024 18:01
Chart styling with matplotlib
import pandas as pd
import matplotlib.pyplot as plt
csv = pd.read_csv('https://raw.githubusercontent.com/corintxt/AFP_data/refs/heads/main/data/US_VEP_Turnout_Rates_v1.1.csv')
df = csv[['YEAR','TURNOUT_RATE_PRES']] \
.dropna()\
.query('YEAR >= 1900')
### DRAW THE CHART
REM Navigate Chrome on macOS to The Verge website
DELAY 2000
ATTACKMODE HID STORAGE VID_05AC PID_0220 MAN_HAK5 PROD_DUCKY SERIAL_1337
DELAY 1000
REM Open Launcher
F4
DELAY 500
REM Launch Chrome
STRING Chrome
DELAY 200
q = text(
'''
SELECT *
FROM "facebook-timeline" ft
LIMIT 10000
'''
)
df = pd.DataFrame()
for idx, chunk in enumerate(
@corintxt
corintxt / basic_db_server.py
Created February 8, 2019 21:33
Basic database server in Python for RC pairing interview
from http.server import BaseHTTPRequestHandler, HTTPServer
HOST_NAME = 'localhost'
PORT_NUMBER = 4000
my_database = {}
class DatabaseHandler(BaseHTTPRequestHandler):
def do_HEAD(self):
self.send_response(200)