Magna Ding ✓

@MagnaDing · Los Angeles (Remote) · joined 10 May 2022

Founding https://t.co/T7hSYhdwC4 (Top AI Newsletter with 1.5M Subs), https://t.co/MUuYT8XRT7 (The #1 Agent Cloud)

15 252Followers

4 006Following

7 493Posts total

682.9KViews on collected posts

Son gönderiler

Magna Ding ✓@MagnaDing21 Sep

@MagnaDing The 361-day timeline is definitely the part I’d want to verify for myself. 54 views · 1 likes · 0 reposts · 0 replies Open on X →

Magna Ding ✓@MagnaDing21 Sep

@MagnaDing The 24-day turnaround after Tobi spoke up is honestly the part that caught my attention. 44 views · 1 likes · 0 reposts · 0 replies Open on X →

Magna Ding ✓@MagnaDing21 Sep

@MagnaDing The timeline says more than the headlines. 361 days of silence, then 24 days of action—that contrast is hard to ignore. 👀 47 views · 1 likes · 0 reposts · 0 replies Open on X →

Magna Ding ✓@MagnaDing21 Sep

Anthropic is a coward with a price list. 405 devs asked @AnthropicAI for AGENTS.md. 361 days of nothing. Then Tobi Lütke (@tobi) said 39 words about leaving. Anthropic folded in 24 days. I kept every receipt. Read all 361 days: https://t.co/LdapLLj4Ol https://t.co/NXg8qunGSQ

126.4K views · 227 likes · 102 reposts · 46 replies Open on X →

Magna Ding ✓@MagnaDing4 Sep

@MagnaDing muse spark 1.3 max scoring higher than gpt-6 astra max on artificial analysis, what other evidence we want https://t.co/btB3SxGhPH 107 views · 1 likes · 0 reposts · 0 replies Open on X →

Magna Ding ✓@MagnaDing4 Sep

@MagnaDing The “internship, not exam” analogy is absolutely on point. 50 views · 0 likes · 0 reposts · 1 replies Open on X →

Magna Ding ✓@MagnaDing4 Sep

@MagnaDing The internship analogy is spot on. 118 views · 1 likes · 0 reposts · 0 replies Open on X →

Magna Ding ✓@MagnaDing3 Sep

ChatGPT went down. Claude went down. Grok went down. However my agent is just sitting here like: "Here's your morning brief." DeepSeek V4 Pro x https://t.co/ebgCISqLrq - Keep Living. 492 views · 11 likes · 1 reposts · 4 replies Open on X →

Magna Ding ✓@MagnaDing3 Sep

The wearable recording category has spent years optimizing for one thing: smaller. Almost nobody asks whether smaller just means easier to hide. Vocci flips that — small for comfort, not for concealment. That distinction has been missing from this conversation for too long. 498 views · 4 likes · 1 reposts · 2 replies Open on X →

Magna Ding ✓@MagnaDing2 Sep

Privacy in AI wearables starts before data reaches the cloud. It starts with whether the people around you know the device is there. With Vocci, transparency is built in from the beginning—not added later as a disclaimer. Watch our CEO JY shares how we think about privacy by ht 496.4K views · 460 likes · 31 reposts · 33 replies Open on X →

Magna Ding ✓@MagnaDing1 Sep

Most RL training uses a fixed scoring system to judge a model's work after the fact. TEMPO does something different: the same model switches roles mid-task, stops, reasons over its own progress, and estimates how close it actually is, before continuing. 506 views · 5 likes · 0 reposts · 2 replies Open on X →

Magna Ding ✓@MagnaDing31 Aug

do you understand what just got open-sourced? a model that scored perfect gold at the International Math Olympiad, by learning to be its own critic mid-solution. meet dots3-note Preview, developed by rednote’s dots studio @dotsstudioai. 280B total / 16B active → 512K context h 40.4K views · 29 likes · 7 reposts · 10 replies Open on X →

Magna Ding ✓@MagnaDing31 Aug

AI memory gets much more interesting when the model learns what deserves to be remembered instead of simply storing everything. Explore → hypothesize → verify → update memory feels much closer to how genuinely adaptive agents should operate. 512 views · 3 likes · 0 reposts · 0 replies Open on X →

Magna Ding ✓@MagnaDing31 Aug

rednote just released an open-weight AI model built for tasks that take hours, not seconds. dots3-note preview. 280B parameters. Text, vision, and audio. Here is what makes it different: 👇 https://t.co/Boyiw7vzvK 17.3K views · 78 likes · 15 reposts · 11 replies Open on X →

Aynı büyüklükteki hesaplara karşı

Son 90 güne ait 14 gönderi, 10K–100K takipçi aralığıyla yan yana. takipçi aralığının tam medyanında.

Medyan görüntülenme495bu hesap92410K–100K için medyan

Erişim, %3.25%bu hesap3.62%10K–100K için medyan

Etkileşim, %1.16%bu hesap1.52%10K–100K için medyan

Ölçüt	Bu hesap	10K–100K için medyan	Oran
Gönderi başına medyan görüntülenme	495	924	0.54×
Erişim (görüntülenme ÷ takipçi)	3.25%	3.62%	0.90×
Etkileşim oranı	1.16%	1.52%	0.76×

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

17.3K31 Aug

512

40.4K

5061 Sep

496.4K2 Sep

4983 Sep

492

1184 Sep

107

126.4K21 Sep

Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.63%31 Aug

0.59%

0.13%

1.38%1 Sep

0.11%2 Sep

1.41%3 Sep

3.25%

0.85%4 Sep

2.00%

0.93%

0.31%21 Sep

2.13%

2.27%

1.85%

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

What the audience does

Likes63.0%822 in total

Reposts12.0%157 in total

Replies8.4%109 in total

Quotes5.4%70 in total

Bookmarks11.2%146 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

Benzer hesaplar