AI News Archive: July 13, 2026 — Part 12
Sourced from 500+ daily AI sources, scored by relevance.
- Claude just delayed the Fable 5 paywall again, extending free access until this date
Fable 5 dodges the paywall yet again, and we're not complaining.
- Zhipu AI founder outlines Touch High plan for AGI research
Zhipu AI founder Tang Jie told employees in an internal letter that the Chinese foundation model developer will launch a “Touch High” plan, focusing on AGI research rather than short-term commercialization, according to LatePost. Zhipu AI is the company behind the GLM series of large language models. Tang listed four technical priorities for the plan: […]
- Zhipu AI shifts focus to AGI research
Co-founder Tang Jie said Zhipu would spend the next two years on AGI-related research, including autonomous AI agents and AI safety.
- Windows questions? How Copilot can analyze your PC settings now
Now rolling out to the Copilot Windows app, the new PC Insights skill can answer questions about your Windows system, settings, and more.
- Copilot Could Soon Answer Questions About Your PC's Hardware, Health
Copilot Could Soon Answer Questions About Your PC's Hardware, Health PCMag Australia
- Copilot could soon help diagnose issues with your PC
Microsoft is testing a new Copilot feature called PC Insights that will help users diagnose problems with their PC using natural language prompts.
- I loved ChatGPT Desktop until OpenAI gutted it to make room for Codex and Work
OpenAI just merged the ChatGPT desktop app with Codex - and removed my favorite productivity features. What were they thinking?
- OpenAI is learning from Gemini’s trouble with usage limits and easing restrictions on GPT-5.6
It's expanding GPT-5.6's usage limit, eliminating 5-hour windows.
- LTM joins Indian IT peers in Anthropic partnership to scale enterprise AI
LTM joins Indian IT peers in Anthropic partnership to scale enterprise AI Techcircle
- Mapping the AI startups making waves in Japan
Mapping Japan's AI sector: Key players, top investors, and funding insights in one report.
- SoftBank Corp. and Yaskawa Electric Corporation Demonstrate a Deformable Object Manipulation System Using "AI Data Center GPU Cloud" as a Physical AI Development Platform | About Us | SoftBank
SoftBank Corp. and Yaskawa Electric Corporation Demonstrate a Deformable Object Manipulation System Using "AI Data Center GPU Cloud" as a Physical AI Development Platform | About Us | SoftBank ソフトバンク
- Malaysia’s data centre pipeline beats neighbours, but Singapore will keep premium status: JPMorgan
Malaysia’s data centre pipeline beats neighbours, but Singapore will keep premium status: JPMorgan The Straits Times
- Self-driving vehicles in Abu Dhabi get special 'Auto Drive' and 'Test' plates
Self-driving vehicles in Abu Dhabi get special 'Auto Drive' and 'Test' plates Gulf News
- Abu Dhabi launches first dedicated licence plates for self-driving cars
Abu Dhabi launches first dedicated licence plates for self-driving cars
- Meta Plans Huge Data Center Expansion. How Will It Use That Excess Compute?
Meta Plans Huge Data Center Expansion. How Will It Use That Excess Compute? PCMag Australia
- University law school bans laptops from classes amid AI backlash
‘We need to ensure that our students actually learn to think critically,’ university administrators say
- Law School Bans Laptops and Phones as AI Cheating Scandal Grows
No ChatGPT for the freshmen. The post Law School Bans Laptops and Phones as AI Cheating Scandal Grows appeared first on Futurism .
- Massive AI buildout poses latest inflation threat as consumers pay more for laptops and electricity
Massive AI buildout poses latest inflation threat as consumers pay more for laptops and electricity San Francisco Chronicle
- Massive AI buildout poses latest inflation threat as consumers pay more for laptops and electricity
Massive AI buildout poses latest inflation threat as consumers pay more for laptops and electricity Boston Herald
- Can AI smart carts make shopping easier? One Miami grocer is trying them out (Video)
Can AI smart carts make shopping easier? One Miami grocer is trying them out (Video) Miami Herald
- True human-level AI may be forever out of reach, prominent computer scientist argues
Alan Turing, the father of theoretical computer science, made a proposal that has put AI development on a flawed path for three-quarters of a century, a prominent computer scientist has argued.
- Study finds carbon capture and storage could help curb emissions from AI-driven data center boom
Study finds carbon capture and storage could help curb emissions from AI-driven data center boom EurekAlert!
- Overview of how AI supports cancer drug discovery. (IMAGE)
Overview of how AI supports cancer drug discovery. (IMAGE) EurekAlert!
- Open-Source AI Tools for Alzheimer’s
Researchers launched three open-source AI tools, AI Literature and Data Synthesis, Dark Data Analyzer, and Reviewer Three, to combat the 99% failure rate of Alzheimer's clinical trials.
- Intel announces $5.7 billion AI-driven capital investment in Ireland
Intel announces $5.7 billion AI-driven capital investment in Ireland Reuters
- Spatial AI startup Augmodo raises $21M to expand beyond retail stores
Spatial artificial intelligence startup Augmodo Inc. said today it has raised $21 million in an impromptu funding round that lifts its valuation to $350 million. TQ Ventures served as the lead investors, with participation from Lerer Hippeau, Jefferson River Capital, Arena Holdings, Chemist Warehouse, New Fare, Interlace and Webb Investment Network The Seattle-based startup is […] The post Spatial AI startup Augmodo raises $21M to expand beyond retail stores appeared first on SiliconANGLE .
- SimpleAI secures US$10M debt facility to acquire accounting firms across APAC
Singapore-based SimpleAI has secured a US$10 million debt facility to acquire accounting and fund administration firms across Asia Pacific, as the startup shifts from selling automation software alone to owning the service businesses where that software can be deployed. The company has also announced a US$5 million seed round, with a lead investor already committed, […] The post SimpleAI secures US$10M debt facility to acquire accounting firms across APAC appeared first on e27 .
- Meta pulls Muse Image days after launch amid privacy outcry
Meta has discontinued its AI image generation feature, Muse Image, just days after its launch, following widespread criticism over privacy.
- Key Feature of Meta’s Muse Image Axed
The move came after criticism by Instagram users, privacy advocates and a union.
- Metacognition in LLMs: Foundations, Progress, and Opportunities
Metacognition is a foundational component of intelligence critical to effective learning, problem solving, decision-making, communication, and more. In recent years, it has become increasingly recognized as a cornerstone of capable, transparent AI systems. Yet while LLMs have made significant progre...
- A Minimalist Retargeting-Guided Reinforcement Learning Recipe for Dexterous Manipulation
Recent work in humanoid whole-body control has found success with a simple recipe: retarget human motion to robot kinematic references, then train policies via reinforcement learning (RL) to track them. But how does this recipe transfer to dexterous manipulation? The answer is not obvious, as manipu...
- Inside the Unfair Judge: A Mechanistic Interpretability Account of LLM-as-Judge Bias
Existing studies of LLM-as-judge scoring bias work predominantly at the input-output level: they perturb inputs, measure score deltas, and propose prompt-level mitigations. We argue that the same biases admit a representation-level account in the judge's hidden state, complementary to the input-outp...
- Evidence-Backed Video Question Answering
Current Video Large Language Models (Video LLMs) excel in question answering (QA) but largely operate as black boxes, providing textual answers without verifiable visual grounding. Existing explainability efforts rely on textual rationales or sparse bounding boxes, which struggle to capture complex ...
- Vixi AI
Transform your knowledge into Duolingo-like course in 60 sec
- LoRA-Based Cascaded Multimodal Fusion for Action Recognition in Medical Training Environments
This paper presents a cascaded Low-Rank Adaptation (LoRA)-based multimodal fusion framework for action and activity recognition in healthcare-oriented training environments. The proposed architecture combines parameter-efficient modality-specific adaptation with sequential fusion, enabling modalitie...
- Transformer-Guided Swarm Intelligence for Frugal Neural Architecture Search
Neural Architecture Search (NAS) has automated the design of deep learning models but traditionally requires massive computational resources, often measured in thousands of GPU-days. In this paper, we propose a frugal and memetic NAS framework designed to democratize architecture design on consumer-...
- Introducing Human-Centeredness in AI-Assisted Lexicography
This paper proposes a human-centered artificial intelligence (HCAI) framework for AI-assisted lexicography. While generative AI offers significant opportunities to enhance lexicographic work, it also raises concerns regarding the future role of lexicographers and the preservation of linguistic and c...
- Playful AI in Professional Email: A Field Experiment on Tone and Recipient Engagement
Large language models (LLMs) are rapidly reshaping workplace communication, yet whether AI-assisted writing changes how recipients actually behave, and through what channel, remains unknown. Here, in a randomized crossover field experiment, 121 employees across six companies sent work emails under t...
- Time-Lag-Aware Deep Reinforcement Learning for Flexible Job-Shop Scheduling in PPVC Module Factories
Prefabricated prefinished volumetric construction moves most building work into module factories, whose production floor operates as a flexible job shop. A major complication is decisive: long post-operation time-lags caused by concrete curing, watertightness ponding tests, and paint drying, during ...
- Active Offline-to-Online Reinforcement Learning
Background: Offline reinforcement learning (RL) enables effective policies to be trained from large, previously collected datasets and subsequently improved through limited online interaction. This offline-to-online RL (O2O-RL) paradigm is particularly promising in nonstationary domains where intera...
- An Explainable Agentic System for Detection of Conversational Scams with Summary-Based Memory
Following the rapid progress of generative Artificial Intelligence, there is a growing threat posed by conversational scams. These scams often span over multiple weeks or months, gradually build trust and request for money or sensitive information. Existing scam-detection systems mainly focus on iso...
- VoxENES 2026: Benchmarking Generalization of Speech Spoofing Detectors Against LLM-Era TTS and Voice Conversion
Modern LLM-driven text-to-speech (TTS) and voice conversion (VC) systems produce synthetic speech that differs from the generators represented in many legacy spoofing benchmarks. This mismatch creates a temporal generalization gap that can overestimate detector robustness under real-world post-proce...
- Agent Hacks Agent: Autoresearch for Production-Agent Red-Teaming
Production LLM agents such as Claude Code and Codex operate over untrusted content, files, commands, and workspace state, making safety failures directly actionable. Red-teaming must therefore keep pace with evolving models and tools. Existing approaches mainly optimize attack success and preserve a...
- RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM
Graph retrieval-augmented generation (GraphRAG) enhances large language models with structured knowledge, yet existing systems construct knowledge graphs in a single extraction pass, producing noisy entities and brittle retrieval. RAGU, an open-source modular GraphRAG engine, addresses this by separ...
- Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model
Recent foundation image and video generation models offer strong generalization and controllability, but their direct application to embodied scenarios is limited by requirements for multi-view consistency, geometric coherence, and robot embodiment constraints. Existing methods typically adapt found...
- Lesioned Multimodal Language Models Reproduce Aphasic Picture-Naming Patterns
Aphasia following stroke commonly produces systematic naming errors with characteristic profiles, but whether general-purpose language models not designed for clinical simulation can reproduce these patterns remains untested. We investigated (1) whether lesions or controlled perturbations to a multi...
- Extending LLM Context via Associative Recurrent Memory
Extending the context length of large language models (LLMs) is critical for many real-world applications, yet standard transformers remain constrained by quadratic compute and linear memory scaling. In this work, we investigate the Associative Recurrent Memory Transformer (ARMT) as a practical appr...
- Auditing the Risk Claims of Distributional Reinforcement Learning
Distributional reinforcement learning agents learn full return distributions that are increasingly read at face value: for interpretability, risk-sensitive control, and safety monitoring. We ask a question theory anticipates but that has not been measured directly: are the risk claims of a trained d...
- HCRMap: Pressure-Aware Hot-Expert Residency Mapping for 3.5D MoE Chiplet Inference
Mixture-of-Experts (MoE) large language models (LLM) activate only a small number of experts during inference, but token routing introduces persistent expert hotness skew: a small set of hot experts continuously receives most tokens, while the remaining experts are lightly loaded. On 3.5D multi-chip...
- DiffEEG: A Self-Supervised Denoising Diffusion Model for Learning EEG Generic Representations
Deep learning for EEG-based seizure detection faces critical challenges: severe annotation scarcity and extreme class imbalance, where ictal events comprise less than 10\% of clinical recordings. We present DiffEEG, a 9.6M-parameter self-supervised foundation model that addresses both limitations th...