tweetindex
TH

Moritz Kremb

@moritzkremb · Community → · joined 06 Feb 2019

I tinker with AI and share what I learn along the way | German, Engineer, Ex-PM, now helping businesses master AI | Free resources→ https://t.co/M4zkbzIBlc

72 147Followers
670Following
10 107Posts total
6.8MViews on collected posts

โพสต์ล่าสุด

All of the coolest Jev projects I could find on X today 🧵 https://t.co/2QUxMRM4pm
20.9K views · 265 likes · 14 reposts · 14 replies Open on X →
😂 1.4K views · 6 likes · 1 reposts · 0 replies Open on X →
cool if true 2K views · 3 likes · 0 reposts · 0 replies Open on X →
Jev gave me $5 of API credit when i signed up when i die, i will pass what's left of it to my son 101.3K views · 4.2K likes · 161 reposts · 104 replies Open on X →
@moritzkremb @typesafeai Someone should make a site of Jev use cases and examples. 1.2K views · 3 likes · 0 reposts · 1 replies Open on X →
Full Jev Tutorial What it is, how you can build with it and what new applications it can unlock → 0:00 Intro → 0:34 Jev explained → 4:06 API setup → 5:59 Demo 1: Voice-controlled browser → 11:33 Demo 2: AI memory → 17:27 Demo 3: YouTube predictor https://t.co/V7iK3jZTLZ
22:41
64.6K views · 1.2K likes · 124 reposts · 24 replies Open on X →
whoa this actually worked! Jev lets me control my browser in real time with my voice now > i talk > transcript sent to Jev > jev returns probabilities in ~300ms > browser clicks costs: $0.0002 per decision i'm stunned how fast this is. when i asked it to "go back", it even htt
0:39
186.4K views · 2.8K likes · 134 reposts · 82 replies Open on X →
I'll be testing Jev extensively this week and figuring out how exactly this new technology can be used in my business sharing all my learnings here join my newsletter for more https://t.co/bFMVFbldGF 4.3K views · 7 likes · 0 reposts · 1 replies Open on X →
Example 3: Browser Use https://t.co/59a2feK8jp 8.3K views · 7 likes · 2 reposts · 1 replies Open on X →
Example 2: Trading Bot https://t.co/dipkbcOcQc 9.2K views · 8 likes · 1 reposts · 1 replies Open on X →
Example 1: Rebuilding Tesla Self Driving https://t.co/u2nMllEd30 11K views · 10 likes · 2 reposts · 1 replies Open on X →
https://t.co/eGK0MGwTti 12.8K views · 4 likes · 2 reposts · 1 replies Open on X →
https://t.co/HIM6klfcPi 14K views · 4 likes · 1 reposts · 1 replies Open on X →
https://t.co/zA4dXUZ0PU 15.1K views · 11 likes · 2 reposts · 1 replies Open on X →
https://t.co/nNLpNGIxQK 16.2K views · 26 likes · 1 reposts · 1 replies Open on X →
If you still don't understand what Jev by @typesafeai is, I put together this thread for you 🧵 It has all of the best explanations and examples I could find on X https://t.co/V4PP5YUY80 152.9K views · 537 likes · 46 reposts · 16 replies Open on X →
Prediction: millionaires will be made using custom Jev style models (parallel constrained decoding) to make the agent systems companies already run more token efficient. Let me explain with a scenario: Imagine a company already has an agent workflow running where an llm reviews 181.8K views · 1.4K likes · 81 reposts · 33 replies Open on X →
Breaking: Browser Use + Jev = Ultrafast ⚡ Findings flights took 7s and cost only $0.0039 🤯 > new action space every step > DOM state space > small LLM fallback to type (this video is at 1x speed btw) Built a tiny open source browser agent. try it below ↓ https://t.co/AplCBRYC
0:07
2.2M views · 7.9K likes · 542 reposts · 232 replies Open on X →
I built a trading bot with Jev! Jev decides if it should "buy" or "sell", given the price feed of an asset pair, and executes real trades. It uses Monad to place the orders on Kuru's on-chain order book in every 300ms block. Demo link → https://t.co/vwl2SUu4jm https://t.co/Sda
0:10
973.4K views · 4.6K likes · 188 reposts · 256 replies Open on X →
I rebuilt Tesla Full Self Driving with Jev in less than an hour. This model is a total unlock. https://t.co/mUrvaFrlQ7
1:59
508.8K views · 4.4K likes · 245 reposts · 206 replies Open on X →
Here's a 45-second TL;DR on Jev. I find the core idea beautifully simple, but the video made it really hard to understand. Hope you find it helpful. https://t.co/KtSKlEMVL3
0:46
1.3M views · 8.5K likes · 604 reposts · 192 replies Open on X →
this is the easiest way to understand Jev: LLMs generate answers. Jev makes decisions. that sounds like a small difference, but it actually changes the entire use case. say you give a normal LLM this: “here’s a user, their account history, payment behavior, support chats, 318.7K views · 2.3K likes · 138 reposts · 82 replies Open on X →
hype-free explanation of jev: jev does not replace gpt / claude jev is just a *really* smart switch statement like if 2016 ml classifiers got 2026 levels of intelligence it's a new* type of tool that will make a lot of workloads insanely fast, cheap, and accurate * = and by 645.5K views · 7.4K likes · 400 reposts · 227 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

23 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.

ยอดดูมัธยฐาน20 891บัญชีนี้922ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %28.96%บัญชีนี้3.39%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %0.40%บัญชีนี้1.53%ค่ามัธยฐานของ 10K–100K
ตัวชี้วัดบัญชีนี้ค่ามัธยฐานของ 10K–100Kอัตราส่วน
ยอดดูมัธยฐานต่อโพสต์20 89192222.7×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)28.96%3.39%8.54×
อัตราการมีส่วนร่วม0.40%1.53%0.26×

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

15.1K17 Sep
14K
12.8K
11K
9.2K
8.3K
4.3K
186.4K
64.6K
1.2K18 Sep
101.3K
2K
1.4K
20.9K

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

0.09%17 Sep
0.04%
0.05%
0.12%
0.11%
0.12%
0.19%
1.64%
2.05%
0.33%18 Sep
4.46%
0.15%
0.50%
1.42%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.53%.

What the audience does

Likes51.5%45 521 in total
Reposts3.0%2 689 in total
Replies1.7%1 477 in total
Quotes1.0%915 in total
Bookmarks42.8%37 808 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.

บัญชีที่คล้ายกัน