IBM
@IBM · New York, New York · joined 14 Jan 2009
We're creating the future. With AI, hybrid cloud & quantum, we’re building a smarter world. Let’s create smarter business.
720 314Followers
52Following
28 753Posts total
2.1MViews on collected posts
Postingan terbaru
Mencari postingan baru…
We're just a few hours away 👀
Join the conversation here: https://t.co/GLjIXaq1Y1
11.3K views · 27 likes
· 3 reposts · 1 replies
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What's your favorite local LLM tool?
Drop it below 👇
14.5K views · 51 likes
· 5 reposts · 12 replies
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Choosing the right local LLM tool can be tough.
@cedricclyburn shares his take with a tier list to make the decision a little easier.
How would you rank them? Let us know below. https://t.co/NhgEqY9Wj5
15K views · 10 likes
· 0 reposts · 1 replies
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0:45
Imagine that you're starting your career from scratch tomorrow.
What's the first skill you'd learn?
77.9K views · 714 likes
· 43 reposts · 284 replies
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Welcome back to Tech Term of the Week! 🥳
This week's term → loop engineering - /luːp ˌɛn.dʒəˈnɪr.ɪŋ/
Definition → the practice of designing agentic workflows, or loops, that iteratively guide AI agents toward completing user-defined goals with minimal human intervention.
15.2K views · 86 likes
· 13 reposts · 26 replies
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👏 developers 👏
👏 developers 👏
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👏 developers 👏
👏 developers 👏
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👏 developers 👏
👏 developers 👏
👏
1.6M views · 10.5K likes
· 1.4K reposts · 565 replies
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Championship Weekend is taking over Queens. 🗽
We're bringing the @USOpen to Madison Square Park through Sunday chock-full of AI-powered fan experiences in the heart of the city.
Swipe to see the action 👉 https://t.co/IkB6yTwlH1
14.9K views · 102 likes
· 20 reposts · 26 replies
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It's a rematch of the 2024 US Open women's singles final! Pegula gets the edge on Sabalenka in the IBM Likelihood to Win.
Who will secure a spot in this year's final?
@IBM | #USOpen https://t.co/cf1DkZ5Ive
204.1K views · 923 likes
· 77 reposts · 114 replies
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Welcome back to Tech Term of the Week! 🥳
This week's term → model context protocol (MCP) - /ˈmɑdəl ˈkɑnˌtɛkst ˈproʊtəˌkɔl/
Definition → this is the standardization layer for AI applications to communicate effectively with external services like tools, databases and
21.7K views · 121 likes
· 16 reposts · 23 replies
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The future is in the details. ⚛️
What you're seeing is an up-close look at our new modular cryogenic architecture, designed to help pave the way for more powerful quantum computers. https://t.co/G0QiZOzaF3
28.5K views · 660 likes
· 136 reposts · 41 replies
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Did you know that 91% of global tennis fans use sports apps during events? 🎾
That's why at this year's @USOpen, we're working with the @USTA to make the fan experience more personalized than ever.
Learn about our new AI-powered features below 🧵 https://t.co/Kvyv9QN1Uj
10K views · 41 likes
· 8 reposts · 7 replies
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A match can change in an instant. 🎾
Revisit @JPegula’s 2024 @usopen Semifinal to see how IBM's Likelihood to Win tracks the swings, turning points and momentum shifts in real time ⤵ https://t.co/eXx0cqR1dV
17.2K views · 73 likes
· 5 reposts · 2 replies
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Welcome back to Tech Term of the Week! 🥳
This week's term → AgentOps - /ˈeɪ.dʒənt ˌɑps/
Definition → an emerging set of practices focused on the lifecycle management of autonomous AI agents.
Why it matters → AI agents operate across complex workflows with many potential
16.5K views · 75 likes
· 12 reposts · 16 replies
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And learn how we’re using classical HPC and quantum computing together to achieve quantum-centric supercomputing here: https://t.co/GVv9obWfLF
1.2K views · 7 likes
· 2 reposts · 0 replies
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Visit the IBM Quantum Learning Platform to learn more and get started yourself: https://t.co/uUXZRxtbki
1.2K views · 9 likes
· 1 reposts · 1 replies
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With more than 90 quantum computers deployed globally, our users can access our systems to explore, experiment, and build quantum solutions.
317 views · 5 likes
· 1 reposts · 1 replies
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Our platform has supported approximately 4 trillion quantum circuit executions and fostered a vibrant global community of more than 240,000 users and 325+ ecosystem partners
544 views · 12 likes
· 1 reposts · 1 replies
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IBM Quantum is the world’s leading full-stack provider in quantum computing, dedicated to bringing useful quantum computing to the world.
1.3K views · 18 likes
· 2 reposts · 3 replies
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Some problems are too complex for today's computers. That's where quantum comes in. ⚛️
Discover the differences between quantum and classical computing below ⤵ https://t.co/Jd0OwNcvKj
17.6K views · 364 likes
· 76 reposts · 19 replies
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Since 1992, we've teamed up with the @USTA to bring advanced digital experiences to millions of tennis fans.
For the 2026 @USOpen, we're taking it further with a suite of new AI-powered app features 🧵 https://t.co/tamiSwhCVZ
11K views · 65 likes
· 15 reposts · 3 replies
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Dibandingkan akun berukuran sama
23 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. tampil ke lebih banyak orang dibanding akun seukurannya.
Median tayangan14 986akun ini5 983median untuk 100K–1M
Jangkauan, %2.08%akun ini1.49%median untuk 100K–1M
Interaksi, %0.76%akun ini0.93%median untuk 100K–1M
| Metrik | Akun ini | Median untuk 100K–1M | Rasio |
|---|---|---|---|
| Median tayangan per postingan | 14 986 | 5 983 | 2.50× |
| Jangkauan (tayangan ÷ pengikut) | 2.08% | 1.49% | 1.40× |
| Tingkat interaksi | 0.76% | 0.93% | 0.81× |
Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →
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
13.7K2 Sep
10K3 Sep
28.5K
21.7K8 Sep
204.1K10 Sep
21.1K
14.9K11 Sep
19.8K12 Sep
1.6M13 Sep
15.2K14 Sep
77.9K16 Sep
15K17 Sep
14.5K
11.3K18 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
0.92%2 Sep
0.59%3 Sep
2.98%
0.74%8 Sep
0.61%10 Sep
0.20%
0.99%11 Sep
0.38%12 Sep
0.82%13 Sep
0.83%14 Sep
1.38%16 Sep
0.08%17 Sep
0.48%
0.27%18 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes75.1%13 997 in total
Reposts10.2%1 901 in total
Replies6.3%1 175 in total
Quotes2.8%514 in total
Bookmarks5.6%1 041 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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