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We’ve aggregated 372 of MarkTechPost’s headlines and news stories over the past 3 months.

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Top MarkTechPost News

Geoffrey Hinton · Toronto

‘Godfather of AI’ Says Intellectually Mundane Jobs Will Disappear

56% Left coverage: 16 sources

Geoffrey Hinton, the University of Toronto professor emeritus widely known as the 'Godfather of AI,' says the technology he helped pioneer is set to unleash sweeping changes on the job market, with many workers at risk of being replaced by machines.See the Story

Google

Google’s New Gemini AI Model Means Your Future Robot Butler Will Still Work Even without Wi‑Fi

43% Left coverage: 7 sources

Google’s latest AI breakthrough means your future robot helper won’t freeze up just because the internet does.See the Story

DNA

DeepMind’s new AlphaGenome AI tackles the ‘dark matter’ in our DNA

80% Center coverage: 5 sources

Tool aims to solve the mystery of non-coding sequences — but is still in its infancy. Tool aims to solve the mystery of non-coding sequences — but is still in its infancy.See the Story

From Claude to ChatGPT: AI Bots Now Using Blackmail to Prevent Shutdown

100% Left coverage: 1 sources

Study warns of rogue AI!Artificial Intelligence See the Story

MIT and NUS Researchers Introduce MEM1: A Memory-Efficient Framework for Long-Horizon Language Agents

Modern language agents need to handle multi-turn conversations, retrieving and updating information as tasks evolve. However, most current systems simply add all past interactions to the prompt, regardless of relevance. This leads to bloated memory usage, slower performance, and poor reasoning on longer inputs that weren’t seen during training. Real-world examples, such as research or shopping assistants, show how follow-up questions depend on t…NUS · Cambridge Read Article

New AI Research Reveals Privacy Risks in LLM Reasoning Traces

Introduction: Personal LLM Agents and Privacy Risks LLMs are deployed as personal assistants, gaining access to sensitive user data through Personal LLM agents. This deployment raises concerns about contextual privacy understanding and the ability of these agents to determine when sharing specific user information is appropriate. Large reasoning models (LRMs) pose challenges as they operate through unstructured, opaque processes, making it uncle…Privacy · Tübingen Read Article

ETH and Stanford Researchers Introduce MIRIAD: A 5.8M Pair Dataset to Improve LLM Accuracy in Medical AI

Challenges of LLMs in Medical Decision-Making: Addressing Hallucinations via Knowledge Retrieval LLMs are set to revolutionize healthcare through intelligent decision support and adaptable chat-based assistants. However, a major challenge is their tendency to produce factually incorrect medical information. To address this, a common solution is RAG, where external medical knowledge is broken into smaller text pieces that LLMs can retrieve and us…Artificial Intelligence · Switzerland Read Article

ByteDance Researchers Introduce Seed-Coder: A Model-Centric Code LLM Trained on 6 Trillion Tokens

Reframing Code LLM Training through Scalable, Automated Data Pipelines Code data plays a key role in training LLMs, benefiting not just coding tasks but also broader reasoning abilities. While many open-source models rely on manual filtering and expert-crafted rules to curate code datasets, these approaches are time-consuming, biased, and hard to scale across languages. Proprietary models like Claude 3.7 and OpenAI o3 excel at coding tasks but d…Read Article

ByteDance Researchers Introduce VGR: A Novel Reasoning Multimodal Large Language Model (MLLM) with Enhanced Fine-Grained Visual Perception Capabilities

Why Multimodal Reasoning Matters for Vision-Language Tasks Multimodal reasoning enables models to make informed decisions and answer questions by combining both visual and textual information. This type of reasoning plays a central role in interpreting charts, answering image-based questions, and understanding complex visual documents. The goal is to make machines capable of using vision as humans do—not just seeing but understanding what they s…China · China Read Article

A Coding Implementation for Creating, Annotating, and Visualizing Complex Biological Knowledge Graphs Using PyBEL

A Coding Implementation for Creating, Annotating, and Visualizing Complex Biological Knowledge Graphs Using PyBEL Read Article

BAAI Launches OmniGen2: A Unified Diffusion and Transformer Model for Multimodal AI

Beijing Academy of Artificial Intelligence (BAAI) introduces OmniGen2, a next-generation, open-source multimodal generative model. Expanding on its predecessor OmniGen, the new architecture unifies text-to-image generation, image editing, and subject-driven generation within a single transformer framework. It innovates by decoupling the modeling of text and image generation, incorporating a reflective training mechanism, and implementing a purpo…Artificial Intelligence · Beijing Read Article

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Top MarkTechPost News

‘Godfather of AI’ Says Intellectually Mundane Jobs Will Disappear

Google’s New Gemini AI Model Means Your Future Robot Butler Will Still Work Even without Wi‑Fi

DeepMind’s new AlphaGenome AI tackles the ‘dark matter’ in our DNA

From Claude to ChatGPT: AI Bots Now Using Blackmail to Prevent Shutdown

MIT and NUS Researchers Introduce MEM1: A Memory-Efficient Framework for Long-Horizon Language Agents

New AI Research Reveals Privacy Risks in LLM Reasoning Traces

ETH and Stanford Researchers Introduce MIRIAD: A 5.8M Pair Dataset to Improve LLM Accuracy in Medical AI

ByteDance Researchers Introduce Seed-Coder: A Model-Centric Code LLM Trained on 6 Trillion Tokens

ByteDance Researchers Introduce VGR: A Novel Reasoning Multimodal Large Language Model (MLLM) with Enhanced Fine-Grained Visual Perception Capabilities

A Coding Implementation for Creating, Annotating, and Visualizing Complex Biological Knowledge Graphs Using PyBEL

BAAI Launches OmniGen2: A Unified Diffusion and Transformer Model for Multimodal AI

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