Jeremy Nguyen ✍🏼 🚢 ✓

@JeremyNguyenPhD · Melbourne, Australia · joined 08 Oct 2021

A.I. for writing, productivity, business | College Prof, A.I. Educator, A.I. Researcher | Writer on Disney+ show | Father to newborn, so sleepy

26 511Followers

894Following

27 886Posts total

128.7KViews on collected posts

Son gönderiler

Jeremy Nguyen ✍🏼 🚢 ✓@JeremyNguyenPhD8 Sep

MIT course: "How to AI (Almost) Anything/Multimodal AI". Paul Liang shares his lecture videos and course materials from the spring 2026 class: 1.1K views · 6 likes · 2 reposts · 2 replies Open on X →

Jeremy Nguyen ✍🏼 🚢 ✓@JeremyNguyenPhD8 Sep

GPT-5.6 Sol writing unit tests for a five-line code change: 2.3K views · 8 likes · 1 reposts · 0 replies Open on X →

Jeremy Nguyen ✍🏼 🚢 ✓@JeremyNguyenPhD8 Sep

GPT-6 Astra Pro for critiquing your academic research papers: this is the balance we've been asking for I was finding Opus 4.8+ to be very nit picky for things that weren't the main substantive points of the paper (maybe Opus was trained faithfully on human reviewers ahahaha) 1.8K views · 16 likes · 3 reposts · 3 replies Open on X →

Jeremy Nguyen ✍🏼 🚢 ✓@JeremyNguyenPhD8 Sep

If you are an academic, you should try throwing a paper into GPT-6 Pro & asking "review this for me." It is now great at finding real (not just nit-picky) issues but balancing those with a paper's strengths & suggesting additions Here is a helpful critique of my very first paper

43K views · 730 likes · 66 reposts · 53 replies Open on X →

Jeremy Nguyen ✍🏼 🚢 ✓@JeremyNguyenPhD7 Sep

We used to think of LLMs as analogous to an intern. What's your current mental model for Fable and Astra class models in Codex and Claude Code? 1.1K views · 4 likes · 2 reposts · 5 replies Open on X →

Jeremy Nguyen ✍🏼 🚢 ✓@JeremyNguyenPhD3 Sep

The mental model for Fable and Astra class models is that you are delegating to a good outside team, not an intern. Can you say what you want & how much leeway the AI has? Can you specify what you want tested & when to come to you for help? Can you describe what good looks like? 45K views · 839 likes · 42 reposts · 37 replies Open on X →

Jeremy Nguyen ✍🏼 🚢 ✓@JeremyNguyenPhD9 Feb

My first publication in Nature! I learned so much contributing to this one... https://t.co/ZoWfqkeyq1

34.4K views · 514 likes · 44 reposts · 30 replies Open on X →

Aynı büyüklükteki hesaplara karşı

Son 90 güne ait 6 gönderi, 10K–100K takipçi aralığıyla yan yana. geniş kitleye gösteriliyor, ama izleyenlerin azı tepki veriyor.

Medyan görüntülenme2 040bu hesap92410K–100K için medyan

Erişim, %7.69%bu hesap3.62%10K–100K için medyan

Etkileşim, %1.10%bu hesap1.52%10K–100K için medyan

Ölçüt	Bu hesap	10K–100K için medyan	Oran
Gönderi başına medyan görüntülenme	2 040	924	2.21×
Erişim (görüntülenme ÷ takipçi)	7.69%	3.62%	2.13×
Etkileşim oranı	1.10%	1.52%	0.72×

Bu aralıktaki diğer hesaplar → Başka bir hesapla karşılaştır → Bu kıyas değerleri nasıl kuruluyor →

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

34.4K9 Feb

45K3 Sep

1.1K7 Sep

43K8 Sep

1.8K

2.3K

1.1K

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.72%9 Feb

2.06%3 Sep

0.98%7 Sep

1.99%8 Sep

1.22%

0.40%

0.93%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes80.0%2 117 in total

Reposts6.0%160 in total

Replies4.9%130 in total

Quotes0.8%20 in total

Bookmarks8.2%218 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.

Son gönderiler

Aynı büyüklükteki hesaplara karşı

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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