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Google's Project Genie explores using large language models to assist humans in creative tasks like writing stories, designing products, and solving problems, with the goal of enhancing human intelligence and capabilities.

A county in Ohio paid $600,000 to a security firm after arresting its employees for assessing the security of a courthouse, highlighting the risks and legal complexities surrounding ethical hacking and penetration testing activities.

Flameshot is an open-source, cross-platform screenshot tool that provides advanced features such as annotation, editing, and sharing capabilities. It offers a user-friendly interface and is available for various operating systems, making it a versatile choice for capturing and manipulating screenshots.

The article examines the widespread use of AI chatbots in China, particularly their deployment in the healthcare sector to assist patients. It explores the benefits and potential drawbacks of these conversational AI systems in the Chinese context.

The article explores a peculiar phenomenon where a person's Wi-Fi connection only works when it's raining, highlighting the unexpected impact weather conditions can have on wireless technology and the need for further research in this area.

The article explores the evolving impact of AI on engineering jobs, suggesting that the initial projections of widespread job losses may not fully capture the nuanced and complex nature of this transformation. It highlights the potential for AI to augment and enhance engineering work rather than entirely replace human roles.

https://www.reuters.com/business/apple-acquires-audio-ai-sta...

The University of Bonn is partnering with the Helmholtz Association to establish the new Helmholtz Institute for Smart Materials and Systems, which will focus on developing sustainable and energy-efficient materials and technologies for a wide range of industrial applications.

The article explores the mathematical concept of tessellation, which involves the arrangement of shapes to cover a surface without gaps or overlaps. It discusses the historical development of tessellation, its various types, and its applications in art, architecture, and design.

The article argues that Silicon Valley can no longer remain neutral on political and social issues, as tech leaders have a responsibility to use their influence to address pressing societal challenges. It suggests that the industry should take a more active role in shaping the future rather than remaining passive.

A writer who covers the taco industry was briefly detained by federal agents while reporting in the Big Bend region of Texas. The article explores the incident and raises questions about the treatment of journalists, particularly in border areas, when covering issues related to immigration and border enforcement.

The article examines the Trump administration's efforts to monitor and control social media, including plans by the Department of Homeland Security to track public social media posts for potential threats. It highlights concerns over the government's expanding surveillance of citizens' online activities.

Transcribee is an open-source automated transcription tool that uses natural language processing to convert audio files into text transcripts. It provides a simple and efficient way to transcribe audio content, with features like speaker diarization and multi-language support.

The article discusses the Electronic Frontier Foundation's (EFF) decision to close on Friday, January 20, 2026, in solidarity with a national shutdown. The shutdown is aimed at raising awareness about issues such as government surveillance, corporate privacy violations, and the need for stronger digital rights protections.

vCluster is launching a free version of its enterprise-grade Kubernetes platform, offering advanced features like multi-tenancy, resource isolation, and high availability at no cost, enabling developers to build and deploy applications more efficiently.

The article provides a primer on confidential computing, a cloud computing technology that protects data in use by executing code in a secure, hardware-based environment. It explains the key concepts, benefits, and current usage of confidential computing.

The article discusses the benefits of reading books and how it can improve cognitive abilities, empathy, and overall well-being. It encourages readers to incorporate more reading into their daily lives and provides tips for building a reading habit.

The article discusses the rise of niri Danklinux, a unique scrolling window manager that offers a novel approach to desktop management, challenging traditional window managers and providing a more immersive user experience.

Hi HN! We’re TensorPool. We help companies access and optimize large scale compute for training foundation models.

The Problem

It’s been almost a year since we’ve finished YC, and we’ve just crossed 100,000 multinode training GPU hours run on our platform.

On those training runs, we’ve seen countless 3am job crashes because of issues like an Xid error from a flaky GPU or an S3 timeout that corrupted a checkpoint save. By the time you wake up and notice, you've lost 8+ hours of compute. You scramble to diagnose the issue, manually restart from the last checkpoint, and hope it doesn't happen again. Rinse and repeat.

For training runs that take days to weeks, this constant babysitting is exhausting and expensive. The research iteration cycles lost can also make or break a model release (especially for short reservations).

What We Built

This agent monitors your training jobs and autonomously recovers them when things go wrong. It works with Kubernetes, Slurm, and TensorPool Jobs.

We originally built the TensorPool Agent as an internal tool to help us debug failures with our own customers. Over time, we realized its performance was so good that we could automate the entire triage process. We're now releasing a public beta for people to use.

Best case: The TensorPool Agent detects the failure, diagnoses the root cause, fixes it, and restarts your job from the last checkpoint – all while you sleep ;)

Worst case: If the TensorPool agent can't fix the issue automatically, it delivers a preliminary RCA and a list of actions it attempted, giving you a head start on debugging.

How It Works

1) Registration – You provide credentials to your job scheduler via our dashboard. Perms are granted on a whitelist basis; you explicitly control what actions the agent can take.

2) Monitoring – The agent continuously monitors your job for failure conditions.

3) Recovery – On failure, the agent analyzes logs and attempts to diagnose the issue. If successful, it restarts the job from the last checkpoint and resumes monitoring. If not, you get an alert with full context.

Target Failure Modes

The agent is specifically designed for runtime errors that occur deep into training, like:

- CUDA OOM: Memory leaks, gradient explosions

- Xid errors: GPU hardware faults (Xid 79, 63, 48, etc.)

- Distributed communication failures: NCCL timeouts, rank failures

- Storage I/O errors: Checkpoint corruption

- Network issues: S3 request timeouts on mounted object storage

Spotify and major record labels have sued Anna's Archive, a music download site, alleging the 'brazen theft' of millions of copyrighted music files worth over $1 trillion. The lawsuit claims Anna's Archive has illegally distributed the music, causing significant financial harm to the recording industry.