# superintelligence

Published articles for superintelligence.

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## Will AI kill us all within the next decade?

DevFeed: [Will AI kill us all within the next decade?](<https://devfeed.tech/articles/will-ai-kill-us-all-within-the-next-decade-8431.md>)

Original publisher: [Read original article](<https://www.malwarebytes.com/blog/ai/2026/09/will-ai-kill-us-all-within-the-next-decade>)

Author: Pieter Arntz

Published: 2026-09-10T12:18:51Z

Content type: opinion

Language: en

Sources: [Malwarebytes](<https://devfeed.tech/sources/malwarebytes.md>)

Topics: [Responsibility & Safety](<https://devfeed.tech/topics/responsibility-safety.md>), [AI Strategy](<https://devfeed.tech/topics/ai-strategy.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Vulnerabilities](<https://devfeed.tech/topics/vulnerabilities.md>), [anthropic](<https://devfeed.tech/topics/anthropic.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-safety](<https://devfeed.tech/tags/ai-safety.md>), [anthropic](<https://devfeed.tech/tags/anthropic.md>), [autonomous](<https://devfeed.tech/tags/autonomous.md>), [fraud](<https://devfeed.tech/tags/fraud.md>), [models](<https://devfeed.tech/tags/models.md>), [news](<https://devfeed.tech/tags/news.md>), [superintelligence](<https://devfeed.tech/tags/superintelligence.md>), [vulnerabilities](<https://devfeed.tech/tags/vulnerabilities.md>)

### AI overview

The article discusses warnings about possible future AI risks while noting that current models are described as low risk. It argues for safeguards such as independent testing, limits on high-risk autonomous uses, transparency, and accountability, alongside action against AI-enabled cybercrime.

### Source excerpt

AI researchers are warning that the technology could kill us all within the next decade, although they say the risk from current models is low.

## AI models don't kill people - people kill people

DevFeed: [AI models don't kill people - people kill people](<https://devfeed.tech/articles/ai-models-don-t-kill-people-people-kill-people-8526.md>)

Original publisher: [Read original article](<https://www.theregister.com/ai-and-ml/2026/09/09/ai-models-dont-kill-people-people-kill-people/5295368>)

Author: Thomas Claburn

Published: 2026-09-09T20:44:06Z

Content type: opinion

Language: en

Sources: [www.theregister.com - Articles](<https://devfeed.tech/sources/www-theregister-com-articles.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-and-ml](<https://devfeed.tech/tags/ai-and-ml.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [ai-regulation](<https://devfeed.tech/tags/ai-regulation.md>), [ai-safety](<https://devfeed.tech/tags/ai-safety.md>), [anthropic](<https://devfeed.tech/tags/anthropic.md>), [claude](<https://devfeed.tech/tags/claude.md>), [opinion](<https://devfeed.tech/tags/opinion.md>), [safety](<https://devfeed.tech/tags/safety.md>), [superintelligence](<https://devfeed.tech/tags/superintelligence.md>)

### AI overview

An opinion piece argues that accountability for AI-related harms should focus on technology executives and model safety rather than treating AI models as independently culpable.

### Source excerpt

AI fearmongers forget we could just jail tech execs until morale and model safety improve

## "It could kill us all": what Anthropic's own researchers really think about superintelligence

DevFeed: ["It could kill us all": what Anthropic's own researchers really think about superintelligence](<https://devfeed.tech/articles/it-could-kill-us-all-what-anthropic-s-own-researchers-really-think-about-superintelligence-8468.md>)

Original publisher: [Read original article](<https://thenewstack.io/anthropic-alignment-superintelligence-warnings/>)

Author: Amanda Caswell

Published: 2026-09-09T19:51:46Z

Content type: news

Language: en

Sources: [The New Stack](<https://devfeed.tech/sources/the-new-stack.md>)

Topics: [anthropic](<https://devfeed.tech/topics/anthropic.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [anthropic](<https://devfeed.tech/tags/anthropic.md>), [openai](<https://devfeed.tech/tags/openai.md>), [research](<https://devfeed.tech/tags/research.md>), [superintelligence](<https://devfeed.tech/tags/superintelligence.md>), [tech-culture](<https://devfeed.tech/tags/tech-culture.md>), [training](<https://devfeed.tech/tags/training.md>)

### AI overview

Anthropic researchers publicly warn that aligning self-improving superintelligent AI remains unsolved. The article contrasts their assessment of future catastrophic risk with their view that current models pose low risk.

### Source excerpt

On Tuesday evening, Anthropic pretraining researcher Jacob Coxon announced on X that he'd resigned. Within hours, two of his colleagues The post "It could kill us all": what Anthropic's own researchers really think about superintelligence appeared first on The New Stack.

## Muse Image now available on AI Gateway

DevFeed: [Muse Image now available on AI Gateway](<https://devfeed.tech/articles/muse-image-now-available-on-ai-gateway-1019.md>)

Original publisher: [Read original article](<https://vercel.com/changelog/muse-image-now-available-on-ai-gateway>)

Author: Jerilyn Zheng

Published: 2026-08-26T00:00:00Z

Content type: release

Language: en

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

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Meta](<https://devfeed.tech/topics/meta.md>), [vercel ai sdk](<https://devfeed.tech/topics/vercel-ai-sdk.md>), [API](<https://devfeed.tech/topics/api.md>), [superintelligence](<https://devfeed.tech/topics/superintelligence.md>), [Inference](<https://devfeed.tech/topics/inference.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-gateway](<https://devfeed.tech/tags/ai-gateway.md>), [api](<https://devfeed.tech/tags/api.md>), [image](<https://devfeed.tech/tags/image.md>), [inference](<https://devfeed.tech/tags/inference.md>), [meta](<https://devfeed.tech/tags/meta.md>), [meta-muse](<https://devfeed.tech/tags/meta-muse.md>), [model](<https://devfeed.tech/tags/model.md>), [models](<https://devfeed.tech/tags/models.md>), [muse](<https://devfeed.tech/tags/muse.md>), [pricing](<https://devfeed.tech/tags/pricing.md>), [sdk](<https://devfeed.tech/tags/sdk.md>), [superintelligence](<https://devfeed.tech/tags/superintelligence.md>), [uptime](<https://devfeed.tech/tags/uptime.md>)

### AI overview

Muse Image, Meta Superintelligence Labs' first image model, is now available through Vercel's AI Gateway. It supports both image generation from prompts and instruction-based image editing, including reference images, through the AI SDK. AI Gateway also provides unified model access, usage and cost tracking, failover, routing, reporting, budgets, and performance optimizations without markup or platform fees on inference.

### Source excerpt

Muse Image from Meta Superintelligence Labs is now available on AI Gateway. It is their first image model and a separate family from Muse Spark, returning images rather than text. Send a prompt and get an image back, or send an image with an instruction and get it changed. One model does both, so you don't switch models to move from generating to editing. To use Muse Image, set model to meta/muse-image-1.0 and call generateImage from the AI SDK: To steer the result toward art you already have, pass reference images in prompt.images alongside the text, and the model blends them into what it draws. Editing Pass the image you want changed in prompt.images with an instruction, and the model changes what you asked for and leaves the rest: Try Muse Image in the model playground. AI Gateway provides a unified API for calling models, tracking usage and cost, failover, and performance optimizations for higher-than-provider uptime. It includes built-in custom reporting, budgets for API keys, routing rules, and more. AI Gateway reflects provider pricing with no markup and does not charge a platform fee on inference, including on Bring Your Own Key (BYOK) requests. You can view all image models available on AI Gateway. Read more

## Industrial policy for the Intelligence Age

DevFeed: [Industrial policy for the Intelligence Age](<https://devfeed.tech/articles/industrial-policy-for-the-intelligence-age-6471.md>)

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

Published: 2026-06-09T00:00:00Z

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>), [superintelligence](<https://devfeed.tech/topics/superintelligence.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [global-affairs](<https://devfeed.tech/tags/global-affairs.md>), [intelligence-age](<https://devfeed.tech/tags/intelligence-age.md>), [openai](<https://devfeed.tech/tags/openai.md>), [policy](<https://devfeed.tech/tags/policy.md>), [research](<https://devfeed.tech/tags/research.md>), [superintelligence](<https://devfeed.tech/tags/superintelligence.md>)

### AI overview

OpenAI presents exploratory, people-first industrial policy ideas for the AI era, focused on expanding opportunity, sharing prosperity, and building resilient institutions as advanced AI develops toward superintelligence. The initiative invites public discussion and supports related work through fellowships, research grants, API credits, and workshops.

### Source excerpt

Explore our ambitious, people-first industrial policy ideas for the AI era--focused on expanding opportunity, sharing prosperity, and building resilient institutions as advanced intelligence evolves.

## Our principles

DevFeed: [Our principles](<https://devfeed.tech/articles/our-principles-6595.md>)

Original publisher: [Read original article](<https://openai.com/index/our-principles>)

Published: 2026-04-26T16:00:00Z

Content type: opinion

Language: en

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

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [superintelligence](<https://devfeed.tech/topics/superintelligence.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [company](<https://devfeed.tech/tags/company.md>), [envision](<https://devfeed.tech/tags/envision.md>), [explore](<https://devfeed.tech/tags/explore.md>), [superintelligence](<https://devfeed.tech/tags/superintelligence.md>)

### AI overview

OpenAI presents principles for ensuring that AGI benefits all of humanity, emphasizing democratization, empowerment, user autonomy, and minimizing harm.

### Source excerpt

Our mission is to ensure that AGI benefits all of humanity. Sam Altman shares five principles that guide our work.

## GGML and llama.cpp join HF to ensure the long-term progress of Local AI

DevFeed: [GGML and llama.cpp join HF to ensure the long-term progress of Local AI](<https://devfeed.tech/articles/ggml-and-llama-cpp-join-hf-to-ensure-the-long-term-progress-of-local-ai-7215.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/ggml-joins-hf>)

Author: Georgi Gerganov; Xuan-Son Nguyen; Aleksander Grygier; Lysandre; Victor Mustar; Julien Chaumond

Published: 2026-02-20T00:00:00Z

Content type: news

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [llama.cpp](<https://devfeed.tech/topics/llama-cpp.md>), [Local AI](<https://devfeed.tech/topics/local-ai.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [model-deployment](<https://devfeed.tech/topics/model-deployment.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [User Experience](<https://devfeed.tech/topics/user-experience.md>)

Tags: [community](<https://devfeed.tech/tags/community.md>), [devices](<https://devfeed.tech/tags/devices.md>), [ggml](<https://devfeed.tech/tags/ggml.md>), [inference](<https://devfeed.tech/tags/inference.md>), [llama-cpp](<https://devfeed.tech/tags/llama-cpp.md>), [llm](<https://devfeed.tech/tags/llm.md>), [local-ai](<https://devfeed.tech/tags/local-ai.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [superintelligence](<https://devfeed.tech/tags/superintelligence.md>), [user-experience](<https://devfeed.tech/tags/user-experience.md>)

### AI overview

Georgi Gerganov and the ggml team are joining Hugging Face to support the llama.cpp and ggml communities while retaining autonomy over technical direction and community leadership. The collaboration will provide long-term resources, improve integration between model definitions and llama.cpp, simplify packaging and user experience, and expand access to efficient local inference on devices.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## Review of "Artificial Intelligence: Rise of the Machines"

DevFeed: [Review of "Artificial Intelligence: Rise of the Machines"](<https://devfeed.tech/articles/review-of-artificial-intelligence-rise-of-the-machines-40102.md>)

Original publisher: [Read original article](<https://korbonits.com/blog/2015-05-12-review-of-artificial-intelligence-rise-of-the-machines/>)

Published: 2015-05-12T11:49:39Z

Content type: opinion

Language: en

Sources: [Alex Korbonits](<https://devfeed.tech/sources/alex-korbonits.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Deep learning](<https://devfeed.tech/topics/deep-learning.md>), [Computer vision](<https://devfeed.tech/topics/computer-vision.md>), [superintelligence](<https://devfeed.tech/topics/superintelligence.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [computer-vision](<https://devfeed.tech/tags/computer-vision.md>), [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [review](<https://devfeed.tech/tags/review.md>), [superintelligence](<https://devfeed.tech/tags/superintelligence.md>)

### AI overview

A review of The Economist's accessible survey of artificial intelligence, focusing on computer vision, deep learning, recent advances, applications, limitations, and concerns about AI-driven job loss and superintelligence.

### Source excerpt

A response to The Economist on computer vision, deep learning, and whether AI really threatens jobs.