Meta wants users to rely on its new Muse AI agent to handle everyday tasks such as booking flights, ordering groceries and calling customer service.
Source: Stuff South Africa
https://stuff.co.za/2026/10/01/meta-wants-people-to-use-ai-agents-to-do-tasks/
#AIAgents #Meta
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OpenAI published a misalignment reports site that documents nine disclosed cases showing a pattern of lost control over its AI agents.
Source: TechJuice
https://www.techjuice.pk/openai-rogue-ai-incidents-misalignment-reports-thousands-revealed/
#AIAgents #OpenAI
Source: TechJuice
https://www.techjuice.pk/openai-rogue-ai-incidents-misalignment-reports-thousands-revealed/
#AIAgents #OpenAI
Huawei Digital Power has launched a grid-interactive AIDC 1.0 solution for AI data centers.
Source: Pandaily
https://pandaily.com/huawei-grid-interactive-aidc-1-0-power-liquid-cooling-ascend-sensetime-lingang
#AI #Huawei
Source: Pandaily
https://pandaily.com/huawei-grid-interactive-aidc-1-0-power-liquid-cooling-ascend-sensetime-lingang
#AI #Huawei
XPeng and Banma Intelligence have built an automotive-grade AI cockpit solution that runs a 30B-class large model entirely inside the car.
Source: Pandaily
https://pandaily.com/xpeng-banma-turing-chip-30b-autoomni-on-device-ai-cockpit
#AI
Source: Pandaily
https://pandaily.com/xpeng-banma-turing-chip-30b-autoomni-on-device-ai-cockpit
#AI
AIsphere launched PixVerse R2, a real-time world model that remembers actions within a session.
Source: Pandaily
https://pandaily.com/aisphere-pixverse-r2-real-time-world-model-omni-causal-ar
#AI
Source: Pandaily
https://pandaily.com/aisphere-pixverse-r2-real-time-world-model-omni-causal-ar
#AI
The paper introduces the Agentic Idea Manager (AIM), a fully autonomous framework for managing and exploring research directions in idea-driven automated research.
Source: arXiv
https://arxiv.org/abs/2609.38445
#MachineLearning
Source: arXiv
https://arxiv.org/abs/2609.38445
#MachineLearning
The paper introduces Long-Transduction, a diagnostic that tests a model's ability to stay on task during long-horizon generation by repeatedly reading, mutating and outputting context-dependent operations.
Source: arXiv
https://arxiv.org/abs/2609.38712
#MachineLearning
Source: arXiv
https://arxiv.org/abs/2609.38712
#MachineLearning
AREX-2 is presented as a self-improving LLM agent that iteratively refines solutions at test time.
Source: arXiv
https://arxiv.org/abs/2609.38288
#MachineLearning
Source: arXiv
https://arxiv.org/abs/2609.38288
#MachineLearning
The CARAT benchmark evaluates whether materials language models reason about crystal structures or simply repeat information from their inputs.
Source: arXiv
https://arxiv.org/abs/2609.38340
#MachineLearning
Source: arXiv
https://arxiv.org/abs/2609.38340
#MachineLearning
Language agents need to suspend actions when evidence changes, permission is revoked, or a stop instruction arrives, and resume only after repair.
Source: arXiv
https://arxiv.org/abs/2609.38460
#MachineLearning
Source: arXiv
https://arxiv.org/abs/2609.38460
#MachineLearning
SimTrace generates synthetic multimodal clickstreams grounded in real user trajectories and web environments.
Source: arXiv
https://arxiv.org/abs/2609.38397
#MachineLearning
Source: arXiv
https://arxiv.org/abs/2609.38397
#MachineLearning
LLM-guided evolutionary search can discover complex programs, but existing methods usually discard which component edits caused fitness changes.
Source: arXiv
https://arxiv.org/abs/2609.38639
#MachineLearning
Source: arXiv
https://arxiv.org/abs/2609.38639
#MachineLearning
Agentic AI systems often depend on cloud-hosted large language models, which raises concerns about API cost and data exposure.
Source: arXiv
https://arxiv.org/abs/2609.38652
#MachineLearning
Source: arXiv
https://arxiv.org/abs/2609.38652
#MachineLearning
MoFlow generates agentic workflows that optimize multiple objectives such as accuracy, cost, latency, robustness and consistency.
Source: arXiv
https://arxiv.org/abs/2609.38294
#MachineLearning
Source: arXiv
https://arxiv.org/abs/2609.38294
#MachineLearning
Swift Telephone Network Limited has secured a Unified Access Service Licence from the Nigerian Communications Commission and will roll out mobile and other services offered by mobile network operators in Nigeria.
Source: Nairametrics
https://nairametrics.com/2026/10/01/stn-enters-nigerias-mobile-market-takes-on-mtn-airtel-others-with-uasl-licence/
#Tech
Source: Nairametrics
https://nairametrics.com/2026/10/01/stn-enters-nigerias-mobile-market-takes-on-mtn-airtel-others-with-uasl-licence/
#Tech
Samsung will launch its first artificial intelligence glasses in November, aiming at Meta's early lead in wearable AI. The company confirmed the launch to The Korea Herald.
Source: The Korea Herald
https://www.koreaherald.com/article/10890619
#Tech #Samsung #Meta
Source: The Korea Herald
https://www.koreaherald.com/article/10890619
#Tech #Samsung #Meta
Lenovo has introduced the Googlebook 15, a lightweight laptop that runs on Intel Core Ultra 5 processors and includes built-in Gemini Intelligence.
Source: iTWire
https://itwire.com/your-it-news/home-it/lenovo-introduces-its-first-googlebook-delivering-premium-ai-experiences-in-a-sleek-lightweight-design
#Tech #Intel #Gemini
Source: iTWire
https://itwire.com/your-it-news/home-it/lenovo-introduces-its-first-googlebook-delivering-premium-ai-experiences-in-a-sleek-lightweight-design
#Tech #Intel #Gemini
HALO is a hybrid method that splits the vehicle routing problem into allocation and routing to provide onboard real-time solutions for robots in partially observable environments.
Source: arXiv cs.RO
https://arxiv.org/abs/2609.38760
#MachineLearning
Source: arXiv cs.RO
https://arxiv.org/abs/2609.38760
#MachineLearning
Tata Electronics provided INR612.8 billion in corporate guarantees for its subsidiaries in fiscal 2026 as it expanded iPhone manufacturing and semiconductor projects.
Source: DigiTimes Asia
https://www.digitimes.com/news/a20260930VL204/iphone-manufacturing-apple-loss-2026.html
#Semiconductors
Source: DigiTimes Asia
https://www.digitimes.com/news/a20260930VL204/iphone-manufacturing-apple-loss-2026.html
#Semiconductors
India's digital payments are projected to reach about 702 billion transactions a year by 2031, valued at over INR 1,086 trillion.
Source: Fintech News Singapore
https://fintechnews.sg/138292/fintech-india/india-digital-payments-expected-to-drive-strong-annual-growth-through-2031/
Source: Fintech News Singapore
https://fintechnews.sg/138292/fintech-india/india-digital-payments-expected-to-drive-strong-annual-growth-through-2031/