IBM Research

@IBMResearch · 12 labs on 6 continents · joined 16 Sep 2008

Inventing what's next in science and technology. 🌍🔬 Subscribe to our newsletter: https://t.co/kyfsvQNzsV

231 401Followers

1 085Following

20 342Posts total

184.8KViews on collected posts

Against accounts of the same size

7 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.

Median views6 945this account5 495median for 100K–1M

Reach, %3.00%this account2.30%median for 100K–1M

Engagement, %0.98%this account1.45%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	6 945	5 495	1.26×
Reach (views ÷ followers)	3.00%	2.30%	1.30×
Engagement rate	0.98%	1.45%	0.67×

Others in this range → Compare with another account → How these benchmarks are built →

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

55.8K12 Nov

1.2K

2.1K

290

6.8K10 Aug

6.9K11 Aug

10.4K19 Aug

84.1K25 Aug

7.4K

5.7K

1.9K

Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.70%12 Nov

1.78%

1.16%

1.42%

2.41%

0.72%10 Aug

0.73%11 Aug

2.23%19 Aug

0.98%25 Aug

1.30%

1.17%

0.47%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.45%.

What the audience does

Likes67.8%1 895 in total

Reposts11.0%307 in total

Replies3.8%106 in total

Quotes1.9%53 in total

Bookmarks15.6%435 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

Followers by day

4 Sep

Daily snapshots since 04 Sep 2026; the dashed line is the starting count.

Latest posts

@IBMResearch Glad you're trying at least, but it's just not working out so far. These models aren't even that strong and you're still losing to them. 1.9K views · 9 likes · 0 reposts · 0 replies 25 Aug 2026 Build what’s next with Granite 4.2: https://t.co/XVxwhVSwmw Available on: @huggingface, @replicate ,@DeepInfra, @ollama, @lmstudio, @AnythingLLM, @radixark, @OpenRouter, @ArtificialAnlys, @CoreWeave, @arena, @UnslothAI 5.7K views · 60 likes · 4 reposts · 1 replies 25 Aug 2026 Inside the release: ✅ 3B, 8B and 30B models with native thinking capabilities ✅ Advanced coding and software engineering capabilities ✅ Optimized speech models for high-throughput transcription workloads ✅ Flexible deployment across cloud, on-premises and edge environments 7.4K views · 86 likes · 5 reposts · 2 replies 25 Aug 2026 Meet Granite 4.2, IBM’s latest family of open models purpose-built for enterprise agentic AI. With new native reasoning capabilities, Granite 4.2 can plan, reason, self-correct and reliably use tools to help automate complex enterprise workflows ⬇️ 84.1K views · 711 likes · 57 reposts · 34 replies 25 Aug 2026 Quantum computers run cold. Really cold. ❄️ @LiveScience takes a look inside IBM’s new modular cryogenic architecture, designed to connect quantum processors while keeping them at temperatures near absolute zero. 🧵 A few things worth knowing: 10.4K views · 186 likes · 32 reposts · 11 replies 19 Aug 2026 In "@SpiderMan: Brand New Day", Prof. Banner lectures on quantum chromodynamics (QCD), the study of how quarks and gluons form protons and neutrons. Fun Fact: Researchers from BasQ are using @IBM quantum computers to understand physical theories like QCD https://t.co/YhPjFGxgsG 6.9K views · 33 likes · 17 reposts · 1 replies 11 Aug 2026 How do you trust a quantum result when classical verification is no longer possible? See how researchers from @UChicago, Qedma, and Algorithmiq demonstrated quantum advantage based on frameworks designed to build trust in quantum computation. 🧵👇 https://t.co/EFreIDwu0f 6.8K views · 34 likes · 9 reposts · 4 replies 10 Aug 2026 @IBMResearch @IBM @CNSE Impressive names, polished announcement — but the real question isn’t what’s printed on a 300 mm wafer. It’s whether Loon and Nighthawk deliver stable logic depth, error transparency, and verifiable advantage outside a controlled demo. Until IBM can show 290 views · 6 likes · 0 reposts · 1 replies 12 Nov 2025 @IBM @CNSE The fabrication of IBM Quantum chips at the Albany NanoTech Complex—and the close synchronization between semiconductor experts and physicists across Albany and at the IBM Thomas J. Watson Research Center in Yorktown—is key to the success of quantum computing at IBM. h 2.1K views · 24 likes · 5 reposts · 1 replies 12 Nov 2025 @IBM @CNSE This story is about more than processing quantum chips on larger wafers. It’s about using the best possible minds, machinery, and processes to realize quantum computing. https://t.co/RhS133g4fK 2.1K views · 21 likes · 2 reposts · 1 replies 12 Nov 2025 @IBM @CNSE The larger, 300mm wafer can carry more individual chips than its 200mm predecessor, allowing for more cost-effective chip yield per wafer and therefore providing shorter (faster) iteration and implementation cycle times. https://t.co/Z6k7ITRcKE 1.2K views · 18 likes · 3 reposts · 1 replies 12 Nov 2025 .@IBM reveals latest quantum processors—IBM Quantum Loon and IBM Quantum Nighthawk—and all future chips on our quantum development roadmap are being fabricated at the Albany NanoTech Complex (@CNSE) using 300mm semiconductor wafer technology: https://t.co/45p1ZwcMib #QDC25 https 55.8K views · 707 likes · 173 reposts · 49 replies 12 Nov 2025