Top Tweets for #SciencePedia
Thanks for sharing #SciencePedia!
Here’s a quick note from the SciencePedia team:
1️⃣ Transparent reasoning for every concept
- Each entry reveals the full chain of thought and traces ideas all the way back to first principles.
- For anyone interested in the technical foundation behind this system, the research paper is here:
https://t.co/wGMAXVyvAT
2️⃣ Completely free and highly interactive
- Topics come with interactive elements, including the ability to highlight any term or sentence for instant AI explanations.
With finals season approaching, we hope SciencePedia becomes a study companion that genuinely helps learners everywhere!
For a full feature overview, the user manual is available here: https://t.co/7edHJIpCzc
This is the biggest verifiable scientific knowledge base
📌 It is totally FREE.
1️⃣ Go to https://t.co/gUrxNs6H1F
2️⃣ Either search directly or click on your field of study
3️⃣ Click on the topic you are looking for.
4️⃣ Find verifiable knowledge on your topic
𝐖𝐡𝐚𝐭’𝐬 𝐦𝐨𝐫𝐞 𝐢𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐢𝐧𝐠?
→ You can test your knowledge about this topic
→ Every topic has 3 hands-on problems
→ Solve the problem
→ Once done, click on the solution
→ Check how good your performed
𝐖𝐚𝐧𝐭 𝐭𝐨 𝐠𝐨 𝐦𝐨𝐫𝐞 𝐝𝐞𝐞𝐩𝐞𝐫 𝐢𝐧𝐭𝐨 𝐚 𝐭𝐨𝐩𝐢𝐜?
↳ Click on Ask AI
↳ StudyMate will open on right side
↳ Enter your question
↳ Get instant answers
↳ Try it today. It’s very awesome.
❓Anything you'd like to add?
Thank you for including #Bohrium in your overview, Ajay!
We’re delighted to see Science Navigator highlighted among your recommended tools.
You may also enjoy exploring #SciencePedia, our verified scientific knowledge base that underpins the reasoning layer in Navigator. Look forward to hearing your impressions.
Appreciate the mention of Bohrium.
We provide AI-driven literature analysis and a growing knowledge base for transparent, structured scientific understanding.
#SciencePedia is now live ⚡ and our refreshed 7-Day Plus referral gives new researchers immediate access to everything we’re building.
Explore Bohrium and see what you can do with it. 🚀
AI Tools Every Researcher Should Try in 2025
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↳ Link: https://t.co/wH2DSQXv80
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➝ Proofread your papers to fix grammar and typo issues
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𝟖. @NoahAITech
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𝟏𝟎. @thesify_ai
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𝟏𝟐. @Bohrium_AI4S
➝ Convert papers to posters and videos.
↳ Link: https://t.co/rNB7rdA0RT
𝟏𝟑. @liner_app
➝ Insert citations in your text.
↳ Link: https://t.co/LjuGo8TQQz
𝟏𝟒. 𝐑𝐞𝐯𝐢𝐞𝐰-𝐢𝐭
➝ Provides feedback on your papers like a human
↳ Link: https://t.co/PMrNAhnkJM
Any other tool you'd like to add?

Saw y'all in the comments last week yelling 'Link?!'
#SciencePedia is now the #1 result.
Click in & get started! (Sign up for free to unlock advanced AI features.)
P.S. Love the feedback that we "did what #grokipedia wanted to do, but first." 😉
This is #SciencePedia. Our "Plato Synthesizer" narrates LCoT chains into coherent articles.
The result? Articles with ~50% lower factualhallucination and significantly higher knowledge density than baseline LLMs .
#SciencePedia is now live with ~200,000 entries. Come explore.

📄 #POTD: Today's paper is a special one for us. It's the official blueprint for our new project, #SciencePedia.
It exposes a fatal flaw in how we all store knowledge: "radical compression."
We’ve all been taught to ignore the "dark matter of knowledge." Until now.
Thread 👇

Proud to see SciencePedia by Bohrium featured here 🌌
The “dark matter” of human knowledge is now visible.
Thank you for the brilliant summary 🔥
Explore & register: https://t.co/dR4xXD4A1o
#SciencePedia #BohriumAI #AIResearch
🚨 China just built Wikipedia's replacement and it exposes the fatal flaw in how we store ALL human knowledge.
Most scientific knowledge compresses reasoning into conclusions. You get the "what" but not the "why." This radical compression creates what researchers call the "dark matter" of knowledge the invisible derivational chains connecting every scientific concept.
Their solution is insane: a Socrates AI agent that generates 3 million first-principles questions across 200 courses. Each question gets solved by MULTIPLE independent LLMs, then cross-validated for correctness.
The result? A verified Long Chain-of-Thought knowledge base where every concept traces back to fundamental principles.
But here's where it gets wild... they built the Brainstorm Search Engine that does "inverse knowledge search." Instead of asking "what is an Instanton," you retrieve ALL the reasoning chains that derive it: from quantum tunneling in double-well potentials to QCD vacuum structure to gravitational Hawking radiation to breakthroughs in 4D manifolds.
They call this the "dark matter" of knowledge finally made visible.
SciencePedia now contains 200,000 entries spanning math, physics, chemistry, biology, and engineering. Articles synthesized from these LCoT chains have 50% FEWER hallucinations and significantly higher knowledge density than GPT-4 baseline.
The kicker? Every connection is verifiable. Every reasoning chain is checked. No more trusting Wikipedia's citations you see the actual derivation from first principles.
This isn't just better search. It's externalizing the invisible network of reasoning that underpins all science.
The "dark matter" of human knowledge just became visible.

🌐 Introducing SciencePedia—a meta-research infra making scientific reasoning visible, verifiable, connected.
Science grows fast, yet knowledge remains siloed.
We’re building a pedia that maps how knowledge works—be part of it👇
#SciencePedia #AIforScience #bohrium #grokpedia

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