Top Tweets for #Reasoningmodels
Better reasoning inside a single prompt isn't enterprise readiness. VKTR Contributor Eric Barroca explains why macro-reasoning is the real gap.
https://t.co/BUFRGpoYRA
#EnterpriseAI #AgenticAI #ReasoningModels
600M parameters beat 600B on LiveBench.
The most accurate reasoning model today is smaller than Llama 3.2 1B.
No memorization. Pure reasoning. Every parameter works.
"Bigger is better" is dead.
#SmallAI #ReasoningModels
Reasoning-based AI models use stepwise logic, contextual embeddings and refinement-based inference to solve complex tasks, reduce ambiguity and deliver precise, transparent results across science, finance and logistics.
#AI #ReasoningModels #AdvancedAI #ContextualAI
🧠 Los modelos de razonamiento no controlan su cadena de pensamientos, y eso es bueno
OpenAI presenta CoT-Control, un hallazgo clave para la seguridad de la IA.
https://t.co/xRiWBi6EcC
#ReasoningModels #AISafety #CoT #RoxsRoss
Presenting CONTEXTUAL DRAG 🚨
Humans could benefit from incorrect previous attempts and avoid making the same mistakes, but reasoning models are dragged toward similar errors (even when explicitly knowing the attempts are incorrect!)
Work @PrincetonPLI
#LLM #ReasoningModels
Humans anchor on the first piece of information they receive. Do reasoning models escape this bias?
We uncover Contextual Drag: errors in context bias subsequent reasoning toward similar mistakes.
It persists even if the error has been recognized via reasoning.
🚫 #Reasoningmodels improve AI capabilities (IMO, Olympiad), but degrade #Safety #Alignment
❓ Are we doomed?
📢 Safety recovery is easier than you think (just a few steering steps away)
Surprisingly simple safety recovery maintaining utility of MLRMs: https://t.co/dxy7tZpuGN
1/ The Reasoning Era (o1/o3)
#OpenAI o3 & #DeepSeekR1 solved the logic barrier. By using test-time compute, models now "think" before speaking. This eliminated hallucinations in math and code, making AI reliable for mission-critical engineering. #ReasoningModels #LLM
Journey Before Destination has been accepted to the main conference at #EACL!
If you haven't already, read more about the paper here: https://t.co/7Z81ltlka9
See you in Morocco!
@eaclmeeting #EACL2026
#VLM #MultimodalAI #AIAlignment #ReasoningModels #Hallucinations
How do you check your favourite VLM’s hallucination rate? Ask it questions about an image and verify the final answer - right? Wrong!
Reasoning VLMs introduce a second dimension: the reasoning trace itself. If you only evaluate answers, your results can be deeply misleading. 🤔
Inference Labs isn’t optimizing for more answers.
It’s optimizing for better belief governance.
#InferenceLabs #BeliefSystems #ReasoningModels #AIResearch
OpenAI vient de résoudre un gros problème de pré-entraînement sur son modèle "Garlic", ouvrant la voie à un bond en avant du raisonnement IA ! 🚀🤖 #AI #ReasoningModels #Innovation https://t.co/fX1PAtXTV4
If you’re working on LLM post-training or reasoning, would love to chat. DMs open. #MLSystems #LLMInference #ReasoningModels (6/6)
I’ll be at NeurIPS in San Diego from Dec 1–7 and would love to meet both old and new friends 😊
Feel free to DM if you’d like to chat! 💬
#NeurIPS2025 #AI #MachineLearning #AISafety #ReasoningModels #AIAgents
✈️Heading to San Diego for #NeurIPS2025 from Dec 02-07!!
🔥Will be presenting our theoretical and empirical works on #Testtimescaling #ReasoningModels, #RL, #Safety #Alignment
🧬 We are also organising a Workshop on #Biosecurity for #GenAI
https://t.co/KqOBrXdD2E
#COLM2025 #LLM #Quantization #ReasoningModels #EfficientAI
🚀 Thrilled to introduce our recent work at COLM 2025: “Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models”, presented today at Poster Session 3, #74.
Reasoning models offer smarter outputs—but at what cost? Uptime’s latest blog explores how this rising trend in AI could dramatically increase demand for compute, space, and power across data centers.
https://t.co/5CgaidSdrj
#AIInfrastructure #ReasoningModels #UptimeIntelligence
@UMassAmherst @UofMaryland (n/n) If these findings sound interesting to you, give the paper a read:
🤝 Huge thanks to our amazing collaborators for making this possible.
@BasuSamyadeep, @Microsoft
📄 Read the full paper: https://t.co/upzlb39m3n
#ReasoningModels #AI #LLM #AIResearch #MultiHopQA
🚨New paper! With @UMassAmherst , @UofMaryland:
"Hop, Skip, and Overthink: Diagnosing Why Reasoning Models Fumble during Multi-Hop Analysis"🤯.
Why do #reasoningmodels break down when chaining multiple steps? We studied #CoT traces to find out.
🧵(1/n)
🔗https://t.co/upzlb39m3n
Reasoning models offer smarter outputs—but at what cost? Uptime’s latest blog explores how this rising trend in AI could dramatically increase demand for compute, space, and power across data centers.
https://t.co/K3jn3w96YD
#AIInfrastructure #ReasoningModels #UptimeIntelligence
HRM is a cutting-edge approach to tackling complex reasoning tasks in AI. With its innovative design that combines abstract planning and rapid, detailed computations, HRM is proving to be a game-changer.
#Reasoningmodels #AIModels #Opensource #artificialintellegence
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