Chris Hayduk ✓

@ChrisHayduk

Life Sciences @OpenAI | prev. ML @Meta, AI for Drug Discovery @Deloitte | Writing at https://t.co/uv52PYIrey

9 643Followers

3 659Following

2 469Posts total

187.2KViews on collected posts

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Chris Hayduk ✓@ChrisHayduk29 Aug

@ChrisHayduk I've been studying prions for 35 years. My studies were cited 83'062 times (H-index: 144). Yet Codex blocks all my prion-related prompts because of possible dual use. I've applied for Rosalind access since weeks and was never granted it. 891 views · 5 likes · 0 reposts · 1 replies Open on X →

Chris Hayduk ✓@ChrisHayduk28 Aug

Meet Rosalind Workbench and get your own virtual research team here! https://t.co/sWDU5HydMP 3.8K views · 33 likes · 5 reposts · 2 replies Open on X →

Chris Hayduk ✓@ChrisHayduk28 Aug

For compute-intensive genomics workflows, we're including our new NGS Analysis Workbench. Move seamlessly between reseearch pipelines, managed compute, run tracking, and analysis interpretation for all of your NGS workflows! https://t.co/ILdUFGbQYQ 2.4K views · 20 likes · 2 reposts · 2 replies Open on X →

Chris Hayduk ✓@ChrisHayduk28 Aug

Last (but not least), we've rolled at a much simpler method to request access to our GPT-Rosalind model! This will help to accelerate fundamental biological and wet-lab research for a broader range of practicioners. https://t.co/VZ4xA2XE3Z 3K views · 27 likes · 4 reposts · 2 replies Open on X →

Chris Hayduk ✓@ChrisHayduk28 Aug

We are also rolling out specialist modeling tools, for when a generalist model just doesn't cut it. Thank you so much to our modeling partners for collaborating with us on plugin development! https://t.co/Ad99nErnu5 2.5K views · 17 likes · 3 reposts · 1 replies Open on X →

Chris Hayduk ✓@ChrisHayduk28 Aug

All of our plugins are designed from the ground up to be highly collaborative. The scientist and the model can see the same context, operate on the same data, and work together to share learnings and produce insights https://t.co/OyRIneE8RQ 3.4K views · 28 likes · 2 reposts · 1 replies Open on X →

Chris Hayduk ✓@ChrisHayduk28 Aug

New scientific viewers make bio-native file formats into first-class citizens. These allow scientists to inspect, interact with, and manipulate file artifacts that are relevant to their research, all from within Codex https://t.co/lV078Wa2mC 2.9K views · 25 likes · 2 reposts · 2 replies Open on X →

Chris Hayduk ✓@ChrisHayduk28 Aug

The Rosalind Workbench combines the intelligence of our purpose-built Rosalind model with a suite of new life sciences plugins & tooling, turning Codex into a true co-scientist https://t.co/N6PSLTxPgx 5.1K views · 52 likes · 3 reposts · 1 replies Open on X →

Chris Hayduk ✓@ChrisHayduk28 Aug

At OpenAI, it's felt like our researchers & engineers have been living in the future with Codex. Today, we're bringing that same experience to life science researchers with the Rosalind Workbench. https://t.co/RrUl6PK6Wi 163.2K views · 586 likes · 92 reposts · 39 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

9 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง under 10K ผู้ติดตาม ต่ำกว่าบัญชีรุ่นเดียวกันทั้งการเข้าถึงและการมีส่วนร่วม.

ยอดดูมัธยฐาน2 983บัญชีนี้4 175ค่ามัธยฐานของ under 10K

การเข้าถึง, %30.93%บัญชีนี้250.82%ค่ามัธยฐานของ under 10K

การมีส่วนร่วม, %1.02%บัญชีนี้1.41%ค่ามัธยฐานของ under 10K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ under 10K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	2 983	4 175	0.71×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	30.93%	2.5× audience	0.12×
อัตราการมีส่วนร่วม	1.02%	1.41%	0.72×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

163.2K28 Aug

5.1K

2.9K

3.4K

2.5K

2.4K

3.8K

89129 Aug

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.45%28 Aug

1.09%

1.03%

0.92%

0.83%

1.11%

1.02%

1.08%

0.67%29 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for under 10K accounts is 1.41%.

What the audience does

Likes56.2%793 in total

Reposts8.0%113 in total

Replies3.6%51 in total

Quotes1.9%27 in total

Bookmarks30.3%428 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.

โพสต์ล่าสุด

เทียบกับบัญชีขนาดเดียวกัน

Growth & engagement

Views per post

Engagement rate per post

What the audience does

บัญชีที่คล้ายกัน