Original post
Julius Adebayo#1672
Julius Adebayo#1672
Guide Labs@guidelabsai
The first inherently interpretable AI platform is finally here. Welcome to Clarity.
8:19 AM · Jun 4, 2026 · 477.3K Views
Guide Labs launches Clarity, an interpretability platform that lets users inspect and steer the specific concepts driving model outputs
Users adjust specific concept weights directly instead of rewriting prompts.
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Sentiment
Positive users praise Guide Labs' Clarity launch for prioritizing model interpretability over scaling, while negative users dismiss it as lacking clear objectives or just redefining jargon without ensuring useful outputs.
Pos
44.3%
Neg
55.7%
27 comments with sentiment.
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VIEWS5.7KBOOKMARKS14LIKES42REPLIES14
Rohan Paul@rohanpaul_ai
This is brilliant.
The first inherently interpretable AI platform just launched, "Clairy" by Guide Labs.
Attacks the "Black box" problem of AI.
The model generates text in chunks. You can click a chunk and see what concepts the model used to generate it.
With normal LLMs: if the model gives a wrong or biased answer, you mostly have to guess which words to change in the prompt.
Clarity changes that by trying to show the concepts the model is using while generating the answer, such as “marine life,” “African wildlife,” “computer science,” or “male role descriptions.”
i.e. you are not only seeing the final answer, you are seeing some of the hidden ingredients that pushed the model toward that answer.
Clarity also adds training data attribution, which connects generated chunks to similar training chunks so mistakes can be diagnosed instead of treated as mystery failures.
The new control layer is concept steering, where users amplify or suppress a concept directly, so, e.g. “marine life” can be raised without rewriting the question and unwanted concept families can be reduced without retraining.
Guide Labs@guidelabsai
The first inherently interpretable AI platform is finally here. Welcome to Clarity.
8dViews 5.7KLikes 42Bookmarks 14
RETWEETS7
Not Jerome Powell@alifarhat79
@guidelabsai Can it interpret my printer though?
8dViews 2.9KLikes 18Bookmarks 6
Giang Nguyen@giangnguyen2412
Here is #Clarity: an interpretable chatbot where you can inspect why the model produced an output.
Concepts. Training data. Control. All in one interface.
Personally, I’m most excited about what this could mean for safe AI: moving beyond giant models optimized only for downstream accuracy, toward models we can actually understand, trust, and control.
Guide Labs@guidelabsai
The first inherently interpretable AI platform is finally here. Welcome to Clarity.
8dViews 930Likes 14Bookmarks 4
Jonathan Frankle@jefrankle
@juliusadml has been scrutinizing and improving AI interpretability for a decade, back before to our days as officemates at MIT. He put this expertise into an LLM and platform that is explainable and steerable based on topics and ideas. I'm a very proud friend and investor!
Guide Labs@guidelabsai
The first inherently interpretable AI platform is finally here. Welcome to Clarity.
8dViews 1.1KLikes 13Bookmarks 4
aditya@adxtyahq
@guidelabsai this is so cool
8dViews 560Likes 8Bookmarks 1
Guide Labs@guidelabsai
Clarity looks like other chat bots but brings a new level of transparency and maleability yet to be seen.
The next era of AI will have Chat Explanations, Comparison Panels, and Steering Buttons. Features that allow you to understand, amplify, and suppress concepts in real time.
8dViews 223Likes 8
Rohan Paul@rohanpaul_ai
@guidelabsai Did the black box era just end?
always thought prompts are often weak at preventing behavior because they compete with the model’s learned associations.
8dViews 294Likes 3Bookmarks 1
Out of Context Human Race@NoContextHumans
@guidelabsai
8dViews 1.6KLikes 5Bookmarks 1
Guide Labs@guidelabsai
Current AI systems are black boxes with opaque internal reasoning and no ability to trace output back to input or training data. These methods result in outputs that have untraceable errors and faulty reasoning that can’t be diagnosed.
Powered by Guide Labs' Steerling 8B, Clarity fixes that. You can now:
→ See the human-understandable concepts that drive model output → Trace output to training data → Steer model behavior using concepts
8dViews 388Likes 8
Guide Labs@guidelabsai
AI that you can finally trust.
Now available as a research preview by invitation.
8dViews 241Likes 7
Guide Labs@guidelabsai
@robmondialETH We’re currently partnering with companies that are interested in developing cutting-edge interpretable AI solutions for their particular domains.
If that sounds like you, reach out to us here: https://www.guidelabs.ai/contact/
Stay tuned for more!
8dViews 302Bookmarks 1
Leila 👩🏻💻@leilamakes
@guidelabsai finally someone is working on understanding the model instead of just making it bigger
8dViews 72Likes 5
Jack Colby@JackColbySEO
@guidelabsai the steering controls are what made me stop scrolling.
interpretability has been a research demo for years. this is the first time i've seen it shipped as something you can actually use mid-conversation.
that's a different category of product.
8dViews 156Likes 4
Markets & Mayhem@Mayhem4Markets
@guidelabsai I'm pretty excited about this.
Negative prompting only goes so far to control undesired behaviors.
Having structural reinforcement to suppress outputs is next-level.
8dViews 474Likes 3
matt@mattknowsai
@guidelabsai is this available for enterprise use cases or only research preview for now?
8dViews 25Likes 5
Guide Labs@guidelabsai
Learn more: https://www.guidelabs.ai/post/meet-clarity/
#Clarity #ResponsibleAI #GuideLabs
8dViews 223Likes 7
klöss@kloss_xyz
@guidelabsai clarity for AI, and we love to see it
8dViews 128Likes 3
le.hl@0xleegenz
@guidelabsai So I don't need to spend two hours trying to understand what the AI is saying with the help of Clarity, right?
8dViews 111Likes 3
Julius Adebayo@juliusadml
@guidelabsai Surreal
8dViews 110Likes 3
Jeddi@antinertia
@guidelabsai insane concept, we need this
8dViews 894Likes 1
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