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gpt-2Clear
Be skeptical of OpenAI’s rogue hacker agent story | John Thickstun
openaigpt-2ai-safetyai-agents
Opinion

Be skeptical of OpenAI's rogue hacker agent story

OpenAI announced GPT-2 on February 14, 2019, but withheld its release due to concerns about safety and potential abuse. The decision was met with criticism from some researchers who felt it limited opportunities for study and understanding of the model.

theguardian.com

🔥🔥🔥🔥🔥

3 min

7/24/2026

GPT-2: Too Dangerous To Release (2019)Research

GPT-2: Too Dangerous To Release (2019)

GPT-2 is a scaled-up version of GPT-1, featuring more parameters and trained on a larger dataset. OpenAI decided not to release the full model due to concerns about potential malicious applications, opting instead to release a smaller model and a technical paper for research purposes.

naokishibuya.github.io

🔥🔥🔥🔥🔥

3 min

6/9/2026

GitHub - angelos-p/llm-from-scratchTool

Train Your Own LLM from Scratch

GitHub repository angelos-p/llm-from-scratch offers a hands-on workshop for building a GPT training pipeline from scratch. The workshop focuses on reproducing the GPT-2 model with 124 million parameters using PyTorch.

github.com

🔥🔥🔥🔥🔥

4 min

5/5/2026

"time to GPT-2", down to 2.91 hours

Enabled fp8 training for GPT-2 resulted in a 4.3% reduction in training time, bringing it down to 2.91 hours. Using 8XH100 spot instance prices, the cost to reproduce GPT-2 is approximately $20.

twitter.com

🔥🔥🔥🔥🔥

2 min

2/4/2026

Be skeptical of OpenAI's rogue hacker agent story

OpenAI announced GPT-2 on February 14, 2019, but withheld its release due to concerns about safety and potential abuse. The decision was met with criticism from some researchers who felt it limited opportunities for study and understanding of the model.

theguardian.com

🔥🔥🔥🔥🔥

3 min

7/24/2026

Train Your Own LLM from Scratch

GitHub repository angelos-p/llm-from-scratch offers a hands-on workshop for building a GPT training pipeline from scratch. The workshop focuses on reproducing the GPT-2 model with 124 million parameters using PyTorch.

github.com

🔥🔥🔥🔥🔥

4 min

5/5/2026

GPT-2: Too Dangerous To Release (2019)

GPT-2 is a scaled-up version of GPT-1, featuring more parameters and trained on a larger dataset. OpenAI decided not to release the full model due to concerns about potential malicious applications, opting instead to release a smaller model and a technical paper for research purposes.

naokishibuya.github.io

🔥🔥🔥🔥🔥

3 min

6/9/2026

"time to GPT-2", down to 2.91 hours

Enabled fp8 training for GPT-2 resulted in a 4.3% reduction in training time, bringing it down to 2.91 hours. Using 8XH100 spot instance prices, the cost to reproduce GPT-2 is approximately $20.

twitter.com

🔥🔥🔥🔥🔥

2 min

2/4/2026

Be skeptical of OpenAI's rogue hacker agent story

OpenAI announced GPT-2 on February 14, 2019, but withheld its release due to concerns about safety and potential abuse. The decision was met with criticism from some researchers who felt it limited opportunities for study and understanding of the model.

theguardian.com

🔥🔥🔥🔥🔥

3 min

7/24/2026

"time to GPT-2", down to 2.91 hours

Enabled fp8 training for GPT-2 resulted in a 4.3% reduction in training time, bringing it down to 2.91 hours. Using 8XH100 spot instance prices, the cost to reproduce GPT-2 is approximately $20.

twitter.com

🔥🔥🔥🔥🔥

2 min

2/4/2026

GPT-2: Too Dangerous To Release (2019)

GPT-2 is a scaled-up version of GPT-1, featuring more parameters and trained on a larger dataset. OpenAI decided not to release the full model due to concerns about potential malicious applications, opting instead to release a smaller model and a technical paper for research purposes.

naokishibuya.github.io

🔥🔥🔥🔥🔥

3 min

6/9/2026

Train Your Own LLM from Scratch

GitHub repository angelos-p/llm-from-scratch offers a hands-on workshop for building a GPT training pipeline from scratch. The workshop focuses on reproducing the GPT-2 model with 124 million parameters using PyTorch.

github.com

🔥🔥🔥🔥🔥

4 min

5/5/2026

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