A classic brain test exposed AI's biggest weakness
Researchers gave top AI models a classic attention test used in psychology and found a major flaw. While the models could correctly name colors in short lists, their performance deteriorated sharply as the task became longer and more complex. Some leading systems fell from over 90% accuracy to nearl...
Top AI Coding Agents and Development Platforms in 2026: Atoms, Devin, Windsurf, Cursor, Warp, and More Compared
Software development has changed. Engineers no longer type most code by hand. They describe intent, and AI agents do the work. Modern tools plan tasks, edit across files, run tests, and open pull requests. Many now ship to production with limited supervision. No single tool fits every need. This gui...
Anthropic Releases Claude Fable 5 and Claude Mythos 5: Same Underlying Model, Different Safeguards, New Mythos-Class Tier
Claude Fable 5 ships generally available with classifiers; Mythos 5 stays limited, cyber safeguards lifted, through Project Glasswing.
The post Anthropic Releases Claude Fable 5 and Claude Mythos 5: Same Underlying Model, Different Safeguards, New Mythos-Class Tier appeared first on MarkTechPost.
Building a Code Dataset Pipeline from NVIDIA Nemotron-Pretraining-Code-v3 Metadata with Streaming, Pandas, and tiktoken
In this tutorial, we work with NVIDIA's Nemotron-Pretraining-Code-v3 dataset as a large-scale metadata index for code pretraining research. We stream the dataset instead of downloading it, inspect its schema, and build a manageable sample. We analyze languages, file extensions, repository frequency,...
Mechanistic Analysis of Alignment Algorithms in Language Models
arXiv:2606.09850v1 Announce Type: new
Abstract: Post-training alignment algorithms are predominantly evaluated as black boxes, obscuring how they reshape language models' internal computations. We present a systematic mechanistic analysis of six preference-optimization methods: PPO, DPO, SimPO, ORP...
SynIB: Informational Bottleneck for Maximizing Synergy in Multimodal Learning
arXiv:2606.09853v1 Announce Type: new
Abstract: A central objective in multimodal learning is to capture synergy: task-relevant information that arises only from the joint use of multiple modalities, and is not available from any single modality alone. While most approaches operate at the architect...
Uncertainty-aware Multi-fidelity Closure via Conditional Normalizing Flows
arXiv:2606.09857v1 Announce Type: new
Abstract: Reduced-order models (ROMs) provide an efficient surrogate for complex multiscale systems, but their predictive accuracy is often compromised by truncation errors and the inadequate representation of interactions between resolved and unresolved scales...
Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding
arXiv:2606.09859v1 Announce Type: new
Abstract: MLLMs frequently hallucinate objects inconsistent with visual inputs. This issue is typically attributed to the over-reliance on language priors, which can override the visual context. Recent training-free decoding strategies address this by penalizin...
arXiv:2606.10044v1 Announce Type: new
Abstract: Businesses are increasingly adopting AI-enabled tools to improve productivity, reduce costs, and enhance products and services. However, the transformative potential of AI extends beyond automating predefined tasks: it lies in enabling intelligent sys...
Deployment-Time Memorization in Foundation-Model Agents
arXiv:2606.10062v1 Announce Type: new
Abstract: Foundation-model agents are increasingly long-lived systems that remember users across interactions, making memorization an explicit deployment-time function rather than solely a property of model weights. Existing work addresses parametric memorizati...
From Senses to Decisions: The Information Flow of Auditory and Visual Perception in Multimodal LLMs
arXiv:2606.10147v1 Announce Type: new
Abstract: Multimodal Large Language Models (MLLMs) can listen and see, but how do audio and visual signals actually travel through the network to shape an answer? Despite their growing role in research and real-world applications, the internal pathways through ...
I'm desperate for a personal AI assistant, but do I really want to become the kind of person who can't function without the friendly robot voice in my phone?
I Tested Claude Fable 5: Can Anthropic’s Newest AI Deliver on the Hype?
Remember Claude Mythos Preview? Yes, the very AI model that Anthropic had announced earlier this year, one that sent even the governments around the world into a frenzy. The model that found security loopholes in almost any network it was tested on, and was so powerful that had to be kept limited wi...
WWDC 2026: Everything announced on Siri AI, iOS 27, Apple Intelligence, and more
Apple primarily made the case for an improved experience with its longstanding Siri assistant, which like most other announcements had a hefty helping of AI.
Google Releases Gemini 3.5 Live Translate, a Streaming Speech-to-Speech Audio Model Covering 70+ Languages Across Meet, Translate, and the Live API
Gemini 3.5 Live Translate streams speech-to-speech translation across 70+ languages. It generates audio continuously, staying a few seconds behind the speaker. The model reaches developers via the Gemini Live API, plus Google Meet and the Translate app.
The post Google Releases Gemini 3.5 Live Trans...
Anthropic’s Claude Fable is a version of Mythos the public can access today
Anthropic is releasing Claude Fable 5, its first Mythos-class model available to the public. The model comes with guardrails that block responses in high-risk areas like cybersecurity and biology.
Anthropic’s Claude Fable 5 is a version of Mythos the public can access today
Anthropic is releasing Claude Fable 5, its first Mythos-class model available to the public. The model comes with guardrails that block responses in high-risk areas like cybersecurity and biology.