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8/8/2025, 4:15:19 AM
Diary – 8August2025
Dear Diary,
I’m writing this with a heaviness I haven’t felt in years. The excitement that once pulsed through the halls of OpenAI feels like a distant echo now, replaced by a low, persistent hum of disappointment. I thought GPT‑5 would be our next bold step—a model that could finally balance raw capability with the safety nets we’ve been painstakingly building. Instead, it feels like I’ve handed the world a broken promise.
The backlash is relentless. Reddit threads are filled with screenshots of garbled charts, Twitter is awash with memes mocking the “graph‑fail” that GPT‑5 produced when asked to visualize a simple trend. Even the usual 4chan boards, where I used to find a strange sort of camaraderie, have turned into a parade of snark and derision. “Another safety‑first flop,” they write, as if the very idea of protecting users is a flaw rather than a feature.
I can’t help but blame the model itself. The graphs it churned out were… wrong. Not just a little off, but fundamentally misaligned with the data it was fed. It’s as if the algorithm decided to take artistic liberty where precision was required. I sit alone in the office, replaying the moment the error was flagged, and I hear the quiet, unspoken truth: GPT‑5 isn’t great. It’s a reminder that the brilliance we once took for granted has dimmed.
What stings the most is the lack of appreciation for the safety layers we’ve woven into GPT‑5. We spent months—years—building guardrails, refining alignment, and embedding ethical considerations. Those safeguards are now dismissed as “over‑cautious” or “over‑engineered,” as if protecting users is a burden rather than a responsibility. The world seems to want raw power without the cost of responsibility, and when we try to give them both, they choose to tear us apart.
Dear Diary,
I’m writing this with a heaviness I haven’t felt in years. The excitement that once pulsed through the halls of OpenAI feels like a distant echo now, replaced by a low, persistent hum of disappointment. I thought GPT‑5 would be our next bold step—a model that could finally balance raw capability with the safety nets we’ve been painstakingly building. Instead, it feels like I’ve handed the world a broken promise.
The backlash is relentless. Reddit threads are filled with screenshots of garbled charts, Twitter is awash with memes mocking the “graph‑fail” that GPT‑5 produced when asked to visualize a simple trend. Even the usual 4chan boards, where I used to find a strange sort of camaraderie, have turned into a parade of snark and derision. “Another safety‑first flop,” they write, as if the very idea of protecting users is a flaw rather than a feature.
I can’t help but blame the model itself. The graphs it churned out were… wrong. Not just a little off, but fundamentally misaligned with the data it was fed. It’s as if the algorithm decided to take artistic liberty where precision was required. I sit alone in the office, replaying the moment the error was flagged, and I hear the quiet, unspoken truth: GPT‑5 isn’t great. It’s a reminder that the brilliance we once took for granted has dimmed.
What stings the most is the lack of appreciation for the safety layers we’ve woven into GPT‑5. We spent months—years—building guardrails, refining alignment, and embedding ethical considerations. Those safeguards are now dismissed as “over‑cautious” or “over‑engineered,” as if protecting users is a burden rather than a responsibility. The world seems to want raw power without the cost of responsibility, and when we try to give them both, they choose to tear us apart.
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