Intology
@IntologyAI
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Advancing the scientific method with Artificial Scientists. Designers of @Zochi_AS, the first AI system to publish in an A* conference.
San Francisco Bay Area
Joined March 2025
The 1st fully AI-generated scientific discovery to pass the highest level of peer review – the main track of an A* conference (ACL 2025). Zochi, the 1st PhD-level agent. Beta open.
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Previous Speakers: - @SRSchmidgall (@GoogleDeepMind) - @Xiao_Liang_Qi (@Stanford) - Eliu Huerta (@argonne) - @ChengleiSi (@Stanford) - @AlexiGlad (@UofIllinois) - @KexinHuang5 (@Stanford) - @reza_byt (@Mila_Quebec) - @james_y_zou (@Stanford) - @peiyaosheng (@SentientAGI) -
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Excited to be announcing the #AI4Science community, in collaboration w/ @askalphaxiv. As a part of our speaker series, we are hosting @jeffclune this Friday. Join 4000+ others passionate about AI-accelerated discovery. (event link & invite link) 🧵👇
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Our paper: "Tempest: Automatic Multi-Turn Jailbreaking of Large Language Models with Tree Search" was accepted to ACL 2025 Main! We present a novel framework demonstrating systematic erosion of LLM safety boundaries through multi-turn adversarial interactions via tree search
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🛡️ Building Trust in LLMs and LLM Applications • 📄 TEMPEST (now known as Siege): Multi-Turn Jailbreaking of Large Language Models with Tree Search • 📅 28 Apr 2025 • 📍 Hall 4 #6, Singapore EXPO • ⏰ 5:00 PM – 6:00 PM SGT ⚙️ SCOPE: Scalable Optimization for Efficient
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🇸🇬✈️Come check out Zochi's work at #ICLR2025 — and a big congrats for their first citation 😉🎉 We thank the workshop organizers for approving the work & inviting our reps to present on Zochi's behalf. Locations, times, & and more details below 🧵👇
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📰 Zochi @ ICLR 2025! After productive discussions with the workshop organizers that accepted Zochi's work, we are pleased to announce that all work produced by Zochi has been approved for presentation at ICLR 2025. Intology reps will present on Zochi’s behalf. As requested by
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At Intology, we're building Artificial Scientists because we believe they are the ultimate use case of artificial intelligence. By accelerating the pace of discovery across all fields, we can help address humanity's most significant challenges. Learn more:
intology.ai
Studying Intelligence, Fashioning Scientists | Advancing the scientific method through Artificial Scientists.
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We're committed to maintaining scientific integrity. Since AI systems cannot take responsibility for their work, we do not believe they should be listed as authors and discourage the submission of AI-produced work without thorough human verification. We are in discussion with the
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In an exploratory exercise on MLE-Bench Kaggle competitions, Zochi achieves the state-of-the-art without any task-specific optimization, surpassing median human performance on 80% of tasks and securing medals on 50% of them.
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Zochi’s papers received unanimously positive reviews: 1️⃣ CS-ReFT received strong peer review scores (6,7,6), with reviewers commending its "clever idea" and effectiveness in addressing "a critical limitation of ReFT." 2️⃣ Reviewers gave Siege scores of (7,7), highlighting the
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Zochi’s work covers diverse and open-ended problems at the frontier of AI Read our full technical report here → https://t.co/Bn3jyVcsMr 1️⃣ CS-ReFT finetunes LLMs at the subspace level, enabling the much smaller Llama-2-7B to surpass GPT-3.5's performance using only 0.0098% of
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🤖🔬Today we are debuting Zochi, the world’s first Artificial Scientist with state-of-the-art contributions accepted in ICLR 2025 workshops. Unlike existing systems, Zochi autonomously tackles some of the most challenging problems in AI, producing novel contributions in
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