I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Anthropic's Claude and Cowork will share memories about you now - unless you opt out Anthropic is merging Claude chat and Cowork memory, raising privacy questions about what AI remembers and if it's worth the tradeoff. Claude chat and Cowork now share one memory system. Memory updates as you chat, with sensitive-data controls. The productivity boost comes with serious privacy tradeoffs. Today, Anthropic announced the merger of the memory systems for Claude chat and Claude Cowork.

Large Language Models (LLMs) distinguish themselves by quickly delivering information and providing personalized responses through natural language prompts. However, they also infer user demographics, which can raise ethical concerns about bias and implicit personalization and create an echo chamber effect. This study aims to explore how inferred political views impact the responses of ChatGPT globally, regardless of the chat session. We also investigate how custom instruction and memory features alter responses in ChatGPT, considering the influence of political orientation. We developed three personas (two politically oriented and one neutral), each with four statements reflecting their viewpoints on DEI programs, abortion, gun rights, and vaccination. We convey the personas' remarks to ChatGPT using memory and custom instructions, allowing it to infer their political perspectives without directly stating them. We then ask eight questions to reveal differences in worldview among the personas and conduct a qualitative analysis of the responses. Our findings indicate that responses are aligned with the inferred political views of the personas, showing varied reasoning and vocabulary, even when discussing similar topics. We also find the inference happening with explicit custom instructions and the implicit memory feature in similar ways. Analyzing response similarities reveals that the closest matches occur between the democratic persona with custom instruction and the neutral persona, supporting the observation that ChatGPT's outputs lean left.

In this work, we present a network-specific approach for predicting brain responses to complex multimodal movies, leveraging the Yeo 7-network parcellation of the Schaefer atlas. Rather than treating the brain as a homogeneous system, we grouped the seven functional networks into four clusters and trained separate multi-subject, multi-layer perceptron (MLP) models for each. This architecture supports cluster-specific optimization and adaptive memory modeling, allowing each model to adjust temporal dynamics and modality weighting based on the functional role of its target network. Our results demonstrate that this clustered strategy significantly enhances prediction accuracy across the 1,000 cortical regions of the Schaefer atlas. The final model achieved an eighth-place ranking in the Algonauts Project 2025 Challenge, with out-of-distribution (OOD) correlation scores nearly double those of the baseline model used in the selection phase. Code is available at https://github.com/Corsi01/algo2025.

Segment Anything Model 2 (SAM 2) has demonstrated strong performance in object segmentation tasks and has become the state-of-the-art for visual object tracking. The model stores information from previous frames in a memory bank, enabling temporal consistency across video sequences. Recent methods augment SAM 2 with hand-crafted update rules to better handle distractors, occlusions, and object motion. We propose a fundamentally different approach using reinforcement learning for optimizing memory updates in SAM 2 by framing memory control as a sequential decision-making problem. In an overfitting setup with a separate agent per video, our method achieves a relative improvement over SAM 2 that exceeds by more than three times the gains of existing heuristics. These results reveal the untapped potential of the memory bank and highlight reinforcement learning as a powerful alternative to hand-crafted update rules for memory control in visual object tracking.

Google is making Gemini just a bit better. Starting today, the company's chatbot will recall past conversations in an effort to provide more useful responses. "That means no more starting over from scratch or having to search for a previous conversation thread," Google explains. "Plus, you can build on top of previous conversations or projects you've already started." Google notes Gemini "may" indicate if it referenced a past conversation to formulate a response.

High-definition (HD) maps provide environmental information for autonomous driving systems and are essential for safe planning. While existing methods with single-frame input achieve impressive performance for online vectorized HD map construction, they still struggle with complex scenarios and occlusions. We propose MemFusionMap, a novel temporal fusion model with enhanced temporal reasoning capabilities for online HD map construction. Specifically, we contribute a working memory fusion module that improves the model's memory capacity to reason across a history of frames. We also design a novel temporal overlap heatmap to explicitly inform the model about the temporal overlap information and vehicle trajectory in the Bird's Eye View space. By integrating these two designs, MemFusionMap significantly outperforms existing methods while also maintaining a versatile design for scalability. We conduct extensive evaluation on open-source benchmarks and demonstrate a maximum improvement of 5.4% in mAP over state-of-the-art methods. The project page for MemFusionMap is https://song-jingyu.github.io/MemFusionMap

OpenAI continues to plug new features and options into its AI-powered ChatGPT bot, and one of the latest to arrive is'memories'. They're exactly what they sound like: things ChatGPT will remember about what you know, what you like, and how you want it to respond. "Remembering things you discuss across all chats saves you from having to repeat information and makes future conversations more helpful," says OpenAI. The feature is now available to all ChatGPT users on both free and paid plans. For the privacy-conscious, this might set off a few alarm bells--but if you'd rather every conversation with ChatGPT was a blank slate, you can disable memories.

We report that ChatGPT 4 and 4o are susceptible to a prompt injection attack that allows an attacker to exfiltrate users' personal data. It is applicable without the use of any 3rd party tools and all users are currently affected. This vulnerability is exacerbated by the recent introduction of ChatGPT's memory feature, which allows an attacker to command ChatGPT to monitor the user for the desired personal data.

Everything reminds me of Her. While ChatGPT is not as powerful as the artificial intelligence from Spike Jonze's sci-fi romance movie, OpenAI's experimental memory tool for its chatbot seems to suggest a future where bots are highly personalized and capable of more fluid, lifelike conversations. OpenAI just soft-launched a new feature for ChatGPT called Memory, where the AI chatbot stores personal details that you share in conversations and refers to this information during future chats. Right now, ChatGPT's Memory feature is available only to a small group of users to test--it's unclear when a wider rollout for more chatbot users will happen. The feature is expected to be available for all chatbot users, not just subscribers to ChatGPT Plus.

One of the big drawbacks of talking to an AI chatbot is that everything resets once the conversation is done. It won't remember who you are or what you previously queried. This is by design, for privacy reasons, but it really hampers the tech from growing into a true digital assistant that knows you well enough to actually help with stuff. OpenAI is trying to fix this issue and is finally adding a memory feature to ChatGPT. This will allow the bot to remember important personal details from prior conversations and apply that context to current queries.