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I Asked ChatGPT 500 Questions. Here Are the Ads I Saw Most Often | WIRED
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I Asked ChatGPT 500 Questions. Here Are the Ads I Saw Most Often | WIRED

Ads are rolling out across the US on ChatGPT’s free tier. I asked OpenAI's bot 500 questions to see what these ads were like and how they...

Wired - AI · 9 min ·
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Abacus.Ai Claw LLM consumes an incredible amount of credit without any usage :(

Three days ago, I clicked the "Deploy OpenClaw In Seconds" button to get an overview of the new service, but I didn't build any automatio...

Reddit - Artificial Intelligence · 1 min ·
Google’s Gemini AI app debuts in Hong Kong
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Google’s Gemini AI app debuts in Hong Kong

Tech giant’s chatbot service tops Apple’s app store chart in the city.

AI Tools & Products · 2 min ·

All Content

I Asked ChatGPT 500 Questions. Here Are the Ads I Saw Most Often | WIRED
Llms

I Asked ChatGPT 500 Questions. Here Are the Ads I Saw Most Often | WIRED

Ads are rolling out across the US on ChatGPT’s free tier. I asked OpenAI's bot 500 questions to see what these ads were like and how they...

Wired - AI · 9 min ·
Llms

Abacus.Ai Claw LLM consumes an incredible amount of credit without any usage :(

Three days ago, I clicked the "Deploy OpenClaw In Seconds" button to get an overview of the new service, but I didn't build any automatio...

Reddit - Artificial Intelligence · 1 min ·
Google’s Gemini AI app debuts in Hong Kong
Llms

Google’s Gemini AI app debuts in Hong Kong

Tech giant’s chatbot service tops Apple’s app store chart in the city.

AI Tools & Products · 2 min ·
Google Launches Gemini Import Tools to Poach Users From Rival AI Apps
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Google Launches Gemini Import Tools to Poach Users From Rival AI Apps

Anyone looking to switch their AI assistant will find it surprisingly easy, as it only takes a few steps to move from A to B. This is not...

AI Tools & Products · 4 min ·
‘I wish I could push ChatGPT off a cliff’: professors scramble to save critical thinking in an age of AI
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‘I wish I could push ChatGPT off a cliff’: professors scramble to save critical thinking in an age of AI

As AI has upended the way students learn, academics worry about the future of the humanities – and society at large

AI News - General · 12 min ·
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Introducing TRIBE v2: A Predictive Foundation Model Trained to Understand How the Human Brain Processes Complex Stimuli

"Understanding how the human brain processes the world around us is one of the greatest open challenges in neuroscience. Breakthroughs he...

Reddit - Artificial Intelligence · 1 min ·
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[R] Which place should I commit to ACL SRW or ICML workshop or AACL?

Hello everyone, I got ARR review set on March 12 with submitted paper. OA 3, 2.5, 2.5 and 2. Meta review is 2.5 the harsh (2) guy critici...

Reddit - Machine Learning · 1 min ·
[2603.24343] Enhancing Efficiency and Performance in Deepfake Audio Detection through Neuron-level Dropin & Neuroplasticity Mechanisms
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[2603.24343] Enhancing Efficiency and Performance in Deepfake Audio Detection through Neuron-level Dropin & Neuroplasticity Mechanisms

Abstract page for arXiv paper 2603.24343: Enhancing Efficiency and Performance in Deepfake Audio Detection through Neuron-level Dropin & ...

arXiv - AI · 4 min ·
[2603.11687] SemBench: A Universal Semantic Framework for LLM Evaluation
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[2603.11687] SemBench: A Universal Semantic Framework for LLM Evaluation

Abstract page for arXiv paper 2603.11687: SemBench: A Universal Semantic Framework for LLM Evaluation

arXiv - AI · 4 min ·
[2603.16179] 360° Image Perception with MLLMs: A Comprehensive Benchmark and a Training-Free Method
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[2603.16179] 360° Image Perception with MLLMs: A Comprehensive Benchmark and a Training-Free Method

Abstract page for arXiv paper 2603.16179: 360° Image Perception with MLLMs: A Comprehensive Benchmark and a Training-Free Method

arXiv - AI · 4 min ·
[2603.11583] UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization
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[2603.11583] UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization

Abstract page for arXiv paper 2603.11583: UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization

arXiv - AI · 3 min ·
[2603.11413] Evaluation format, not model capability, drives triage failure in the assessment of consumer health AI
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[2603.11413] Evaluation format, not model capability, drives triage failure in the assessment of consumer health AI

Abstract page for arXiv paper 2603.11413: Evaluation format, not model capability, drives triage failure in the assessment of consumer he...

arXiv - AI · 4 min ·
[2603.16673] When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
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[2603.16673] When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making

Abstract page for arXiv paper 2603.16673: When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Rob...

arXiv - Machine Learning · 4 min ·
[2603.06663] Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual Prompting
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[2603.06663] Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual Prompting

Abstract page for arXiv paper 2603.06663: Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual ...

arXiv - AI · 4 min ·
[2601.06394] Context Matters: Peer-Aware Student Behavioral Engagement Measurement via VLM Action Parsing and LLM Sequence Classification
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[2601.06394] Context Matters: Peer-Aware Student Behavioral Engagement Measurement via VLM Action Parsing and LLM Sequence Classification

Abstract page for arXiv paper 2601.06394: Context Matters: Peer-Aware Student Behavioral Engagement Measurement via VLM Action Parsing an...

arXiv - AI · 4 min ·
[2512.14698] TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs
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[2512.14698] TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs

Abstract page for arXiv paper 2512.14698: TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs

arXiv - AI · 4 min ·
[2512.10411] SWAA: Sliding Window Attention Adaptation for Efficient and Quality Preserving Long Context Processing
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[2512.10411] SWAA: Sliding Window Attention Adaptation for Efficient and Quality Preserving Long Context Processing

Abstract page for arXiv paper 2512.10411: SWAA: Sliding Window Attention Adaptation for Efficient and Quality Preserving Long Context Pro...

arXiv - AI · 4 min ·
[2510.12117] Locket: Robust Feature-Locking Technique for Language Models
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[2510.12117] Locket: Robust Feature-Locking Technique for Language Models

Abstract page for arXiv paper 2510.12117: Locket: Robust Feature-Locking Technique for Language Models

arXiv - Machine Learning · 3 min ·
[2512.00804] Epistemic Bias Injection: Biasing LLMs via Selective Context Retrieval
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[2512.00804] Epistemic Bias Injection: Biasing LLMs via Selective Context Retrieval

Abstract page for arXiv paper 2512.00804: Epistemic Bias Injection: Biasing LLMs via Selective Context Retrieval

arXiv - AI · 4 min ·
[2511.20721] Foundry: Distilling 3D Foundation Models for the Edge
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[2511.20721] Foundry: Distilling 3D Foundation Models for the Edge

Abstract page for arXiv paper 2511.20721: Foundry: Distilling 3D Foundation Models for the Edge

arXiv - Machine Learning · 4 min ·
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