Eric Wallace ✓

@Eric_Wallace_ · San Francisco · joined 10 Jul 2011

research @openai

17 171Followers

1 241Following

571Posts total

4.9MViews on collected posts

Against accounts of the same size

2 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views2 073 362this account2 896median for 10K–100K

Reach, %12074.79%this account9.51%median for 10K–100K

Engagement, %0.18%this account1.56%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	2 073 362	2 896	716×
Reach (views ÷ followers)	120.7× audience	9.51%	1 270×
Engagement rate	0.18%	1.56%	0.11×

Others in this range → Compare with another account → How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

32.5K10 May

20.8K

39.5K20 Dec

653K5 Aug

2.3M6 Aug

1.8M10 Aug

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.24%10 May

0.59%

1.21%20 Dec

0.47%5 Aug

0.19%6 Aug

0.17%10 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.56%.

What the audience does

Likes52.2%9 096 in total

Reposts6.6%1 148 in total

Replies2.6%460 in total

Quotes2.2%382 in total

Bookmarks36.4%6 332 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Latest posts

Today we are releasing GPT-5.6-Cyber. The model is our first large-scale attempt at directly improving capabilities for advanced cybersecurity tasks such as exploit development. We are finding it to be really quite strong for accelerating defensive work. We are using it across 1.8M views · 2.5K likes · 242 reposts · 161 replies 10 Aug 2026 Yesterday, my OpenAI collaborator and I gave a detailed talk on the Huggingface incident, our models creating "the message board", model misalignment, and more. https://t.co/YmvSsxmX3H I hope it can answer a lot of the questions folks have, and we will release a full detailed 2.3M views · 3.4K likes · 498 reposts · 179 replies 06 Aug 2026 Today we release gpt-oss-120b and gpt-oss-20b—two open-weight LLMs that deliver strong performance and agentic tool use. Before release, we ran a first of its kind safety analysis where we fine-tuned the models to intentionally maximize their bio and cyber capabilities 🧵 https:/ 653K views · 2.6K likes · 321 reposts · 105 replies 05 Aug 2025 Chain-of-thought reasoning provides a natural avenue for improving model safety. Today we are publishing a paper on how we train the "o" series of models to think carefully through unsafe prompts: https://t.co/nnll4K6usQ… 39.5K views · 399 likes · 61 reposts · 10 replies 20 Dec 2024 I’ll be giving two different OpenAI talks at ICLR tomorrow on our recent safety work, focusing primarily on the paper “The Instruction Hierarchy”. 1pm at the Data for Foundation Models workshop, and 3pm at the Secure and Trustworthy LLMs workshop. 20.8K views · 108 likes · 10 reposts · 4 replies 10 May 2024 Thrilled to be in Vienna for our ICLR workshop, Navigating and Addressing Data Problems for Foundation Models. Starting Saturday at 8:50 AM, our program features keynote talks, best paper presentations, a poster session, and a panel discussion. Explore the full schedule here! htt 32.5K views · 58 likes · 16 reposts · 1 replies 10 May 2024