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ID

Edward Kim ✓

@edk208 · joined 07 Sep 2013

Associate Professor of Computer Science at Drexel University. Interested in Computer Vision, Machine Learning, Sparse Coding.

59 998Followers
420Following
353Posts total
1.5MViews on collected posts

Postingan terbaru

Scaling Blockchains for AI: A Proof By A Billion Hashes https://t.co/Pa25VHH6dz 121.3K views · 847 likes · 305 reposts · 111 replies Open on X →
@edk208 I've said in the past if LUNC doesn't hit $100 in the next 5 years it would be a failure. I think I might need to change that to $1000! 🔥👏 This is ground breaking innovation, sir! Major kudos 💪 7.7K views · 154 likes · 22 reposts · 10 replies Open on X →
If you've pinged me and I haven't responded, it is because I've been busy. 58.1K views · 652 likes · 111 reposts · 67 replies Open on X →
Interchain Accounts (ICA) module is done. Will need to test on LUNC L1 TestNet, pass governance prop, then coordinate with JL1TF after parity is achieved to incorporate ICA into LUNC. Current private TestNet operational with 3 validators and 6 ML nodes and 17 total GPUs. https://
105.2K views · 904 likes · 261 reposts · 60 replies Open on X →
Updates for the AI app chain called Block Entropy. Still building. Here is a sneak peak at the white paper that is almost finished. https://t.co/8PneXKqIbl
398.3K views · 1.9K likes · 771 reposts · 298 replies Open on X →
TestNet playground will go public sometime in mid-May. TestNet will only support a small set of ML inference tasks at this time (AI image diffusion, text language models, and music generation). Distributed training, fine-tuning, python APIs, and SNARK verification comes later. ht
28.6K views · 470 likes · 122 reposts · 8 replies Open on X →
In order to obtain TestNet tokens you will have to send real LUNC to the burn address and enter the tx hash into the TestNet faucet. This is a sneak peak at the burn faucet. https://t.co/oDyjWpksyX
81.4K views · 700 likes · 209 reposts · 24 replies Open on X →
Terra Grants Foundation Update https://t.co/nY7MVPmKLw 152.8K views · 1.4K likes · 460 reposts · 159 replies Open on X →
@edk208 If we can make this happen ,this is huge ,at some point during Covid times ,I redirected part of my rigs for my rigs to help figthing it. By using Folding@home ,if we can have a similar project that will give rewards to miners ,that will be gold. 12.1K views · 93 likes · 10 reposts · 4 replies Open on X →
@edk208 If you aren’t bullish on $LUNC after reading this wonderful piece we can’t help you. #LUNACLASSIC will change the game! 7.8K views · 194 likes · 49 reposts · 7 replies Open on X →
@edk208 🫡 congratz. If your new blockchain ever needs a “product manager” / strategy + bizdev + communications + anything else other than coding, I might still be looking for a new job 😂 7.6K views · 106 likes · 12 reposts · 9 replies Open on X →
Finding our Identity Block by Block https://t.co/5JDoH4IYOJ 281K views · 1.7K likes · 603 reposts · 246 replies Open on X →
We have put forth 3 signaling proposals around optional features that we are seeking consensus on. Please see the description here, https://t.co/ofOlbMNGOA and cast your vote on proposals, #11358, #11359, and #11360. 246.6K views · 1.3K likes · 473 reposts · 208 replies Open on X →

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

246.6K14 Feb
281K20 Mar
7.6K
7.8K
12.1K
152.8K1 Apr
81.4K29 Apr
28.6K
398.3K
105.2K
58.1K
7.7K
121.3K6 Jul

Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.79%14 Feb
0.92%20 Mar
1.67%
3.21%
0.88%
1.33%1 Apr
1.15%29 Apr
2.10%
0.75%
1.16%
1.43%
2.41%
1.04%6 Jul

Reactions — likes, reposts, replies and quotes — divided by views.

What the audience does

Likes68.8%10 456 in total
Reposts22.4%3 408 in total
Replies8.0%1 211 in total
Bookmarks0.8%126 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.

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