# Machine Intelligence

Machine intelligence is a concept concerning engineered computational systems that perform cognitive capabilities such as learning, reasoning, perception, and planning.

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## Jakub Pachocki Calls for Caution and Stronger Safeguards as AI Capabilities Advance

DevFeed: [Jakub Pachocki Calls for Caution and Stronger Safeguards as AI Capabilities Advance](<https://devfeed.tech/articles/an-alien-mind-6295.md>)

Original publisher: [Read original article](<https://openai.com/index/an-alien-mind>)

Published: 2026-09-06T09:00:00Z

Content type: opinion

Language: en

Sources: [OpenAI News](<https://devfeed.tech/sources/openai-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Machine Intelligence](<https://devfeed.tech/topics/machine-intelligence.md>), [Language models](<https://devfeed.tech/topics/language-models.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-research](<https://devfeed.tech/tags/ai-research.md>), [alignment](<https://devfeed.tech/tags/alignment.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [machine-intelligence](<https://devfeed.tech/tags/machine-intelligence.md>), [openai](<https://devfeed.tech/tags/openai.md>), [research](<https://devfeed.tech/tags/research.md>), [safety](<https://devfeed.tech/tags/safety.md>)

### AI overview

Jakub Pachocki reflects on the rapid growth of reasoning language models and the possibility of continued capability advances through recursive self-improvement. He urges extreme caution, stronger alignment and monitoring efforts, defensive systems, and broader international interventions.

### Source excerpt

Jakub Pachocki reflects on increasingly capable AI and the challenge of keeping it aligned. He calls for stronger safeguards and international coordination.

## Introducing Intelligence Age

DevFeed: [Introducing Intelligence Age](<https://devfeed.tech/articles/introducing-intelligence-age-6500.md>)

Original publisher: [Read original article](<https://openai.com/index/introducing-intelligence-age>)

Published: 2026-08-20T07:00:00Z

Content type: opinion

Language: en

Sources: [OpenAI News](<https://devfeed.tech/sources/openai-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [Machine Intelligence](<https://devfeed.tech/topics/machine-intelligence.md>), [Responsibility & Safety](<https://devfeed.tech/topics/responsibility-safety.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-safety](<https://devfeed.tech/tags/ai-safety.md>), [blog](<https://devfeed.tech/tags/blog.md>), [intelligence-age](<https://devfeed.tech/tags/intelligence-age.md>), [machine-intelligence](<https://devfeed.tech/tags/machine-intelligence.md>), [openai](<https://devfeed.tech/tags/openai.md>), [opinion](<https://devfeed.tech/tags/opinion.md>), [policy](<https://devfeed.tech/tags/policy.md>)

### AI overview

OpenAI introduces Intelligence Age, a Strategic Futures team and blog focused on how transformative AI may reshape power, governance, the economy, and individual freedom. The article examines concentration-of-power risks and the possibility that autonomous systems and machine intelligence could reduce states' dependence on human cooperation and labor.

### Source excerpt

Introducing Intelligence Age, a new OpenAI blog exploring how transformative AI could reshape power, governance, the economy, and individual freedom.

## Are AI tutors safe for your kids?

DevFeed: [Are AI tutors safe for your kids?](<https://devfeed.tech/articles/are-ai-tutors-safe-for-your-kids-8386.md>)

Original publisher: [Read original article](<https://www.welivesecurity.com/en/kids-online/ai-tutors-safe-kids/>)

Author: Phil Muncaster

Published: 2026-08-10T09:00:00Z

Content type: article

Language: en

Sources: [WeLiveSecurity](<https://devfeed.tech/sources/welivesecurity.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Chat Bot](<https://devfeed.tech/topics/chatbot.md>), [Machine Intelligence](<https://devfeed.tech/topics/machine-intelligence.md>), [Security](<https://devfeed.tech/topics/security.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-assistants](<https://devfeed.tech/tags/ai-assistants.md>), [education](<https://devfeed.tech/tags/education.md>), [kids-online](<https://devfeed.tech/tags/kids-online.md>), [learning](<https://devfeed.tech/tags/learning.md>), [security](<https://devfeed.tech/tags/security.md>)

### AI overview

AI tutors are expanding in education, but their capabilities, teaching methods, and safeguards vary widely. The article explains the differences between general-purpose chatbots, teaching-focused Socratic tutors, and curriculum-based intelligent tutoring systems, while highlighting concerns about privacy, security, over-dependence, and whether their effectiveness is sufficiently proven.

### Source excerpt

AI tutors can offer useful support, but their quality and safeguards vary widely. Here's what parents should check before handing one to a child.

## Embodied cognition and agentic AI

DevFeed: [Embodied cognition and agentic AI](<https://devfeed.tech/articles/embodied-cognition-and-agentic-ai-29409.md>)

Original publisher: [Read original article](<https://lemire.me/blog/2026/05/28/embodied-cognition-and-agentic-ai/>)

Author: Daniel Lemire

Published: 2026-05-28T23:04:35Z

Content type: opinion

Language: en

Sources: [Daniel Lemire](<https://devfeed.tech/sources/daniel-lemire.md>)

Topics: [Machine Intelligence](<https://devfeed.tech/topics/machine-intelligence.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [ChatGPT](<https://devfeed.tech/topics/chatgpt.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Tool](<https://devfeed.tech/topics/tool.md>), [Deep neural networks](<https://devfeed.tech/topics/deep-neural-networks.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [chatgpt](<https://devfeed.tech/tags/chatgpt.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [neural-networks](<https://devfeed.tech/tags/neural-networks.md>), [tools](<https://devfeed.tech/tags/tools.md>)

### AI overview

This opinion argues that intelligence is embodied in a person's environment, language, hands, and tools rather than located only in the brain. It connects this view to ChatGPT's chat interface and the emergence of agentic AI, although the supplied text ends before explaining the next step.

### Source excerpt

Where is your intelligence located? In your brain? It is a simplistic answer. A better model is that your intelligence is embodied. Consider a cook working at an expensive restaurant. He has all his favorite knives and cooking instructions, placed exactly where he wants them. His kitchen is part of his intelligence, of his skills. ... Continue reading Embodied cognition and agentic AI

## From Waveforms to Wisdom: The New Benchmark for Auditory Intelligence

DevFeed: [From Waveforms to Wisdom: The New Benchmark for Auditory Intelligence](<https://devfeed.tech/articles/from-waveforms-to-wisdom-the-new-benchmark-for-auditory-intelligence-6785.md>)

Original publisher: [Read original article](<https://research.google/blog/from-waveforms-to-wisdom-the-new-benchmark-for-auditory-intelligence/>)

Published: 2025-12-03T22:47:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [Machine Intelligence](<https://devfeed.tech/topics/machine-intelligence.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [multimodal](<https://devfeed.tech/topics/multimodal.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Google](<https://devfeed.tech/topics/google.md>), [NeurIPS](<https://devfeed.tech/topics/neurips.md>)

Tags: [2025](<https://devfeed.tech/tags/2025.md>), [ai](<https://devfeed.tech/tags/ai.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [classification](<https://devfeed.tech/tags/classification.md>), [data](<https://devfeed.tech/tags/data.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [embedding](<https://devfeed.tech/tags/embedding.md>), [google](<https://devfeed.tech/tags/google.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [machine-intelligence](<https://devfeed.tech/tags/machine-intelligence.md>), [multimodal](<https://devfeed.tech/tags/multimodal.md>), [neurips](<https://devfeed.tech/tags/neurips.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [sound-accoustics](<https://devfeed.tech/tags/sound-accoustics.md>), [speech-processing](<https://devfeed.tech/tags/speech-processing.md>)

### AI overview

Google Research introduces the Massive Sound Embedding Benchmark (MSEB), an open-source benchmark for evaluating machine sound intelligence across eight capabilities, including transcription, classification, retrieval, reasoning, segmentation, clustering, reranking, and reconstruction. It also includes the Simple Voice Questions dataset, with 177,352 spoken queries across 26 locales and 17 languages, available on Hugging Face.

### Source excerpt

Machine Intelligence

## Топовые работы на ICLR 2025

DevFeed: [Топовые работы на ICLR 2025](<https://devfeed.tech/articles/iclr-2025-24018.md>)

Original publisher: [Read original article](<https://habr.com/ru/companies/redmadrobot/articles/911228/>)

Author: redmadrobot (red\_mad\_robot)

Published: 2025-05-20T17:20:00Z

Content type: article

Language: ru

Sources: [Redmadrobot EN](<https://devfeed.tech/sources/redmadrobot-en.md>), [Redmadrobot RU](<https://devfeed.tech/sources/redmadrobot-ru.md>)

Topics: [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Language models](<https://devfeed.tech/topics/language-models.md>), [Machine Intelligence](<https://devfeed.tech/topics/machine-intelligence.md>), [Learning](<https://devfeed.tech/topics/learning.md>), [Jailbreak](<https://devfeed.tech/topics/jailbreak.md>)

Tags: [2025](<https://devfeed.tech/tags/2025.md>), [ai](<https://devfeed.tech/tags/ai.md>), [alignment](<https://devfeed.tech/tags/alignment.md>), [china](<https://devfeed.tech/tags/china.md>), [conference](<https://devfeed.tech/tags/conference.md>), [dpo](<https://devfeed.tech/tags/dpo.md>), [iclr](<https://devfeed.tech/tags/iclr.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [llm](<https://devfeed.tech/tags/llm.md>), [ml](<https://devfeed.tech/tags/ml.md>), [safety](<https://devfeed.tech/tags/safety.md>), [science](<https://devfeed.tech/tags/science.md>), [tag-fa773991fb10](<https://devfeed.tech/tags/tag-fa773991fb10.md>), [university](<https://devfeed.tech/tags/university.md>)

### AI overview

This Russian-language article reviews highly rated papers from ICLR 2025 on artificial intelligence and machine learning. It discusses deepening safety alignment to improve resistance to jailbreak attacks, findings about SFT and DPO fine-tuning dynamics, and AlphaEdit, a method for targeted knowledge editing in large language models.

### Source excerpt

Аналитический центр red_mad_robot продолжает обозревать топовые технологические конференции. В этот раз подготовили для вас инсайты с прошедшей в Сингапуре International Conference on Learning Representations (ICLR), посвящённой искусственному интеллекту и машинному обучению. На ICLR 2025 из более 3 тыс. работ наивысшие оценки получили 36 статей, из которых три были отмечены как "outstanding papers". Разберём выдающиеся, достойные упоминания и получившие высокие оценки работы этого года. Читать далее