New stories

The article discusses a ban by the Trump administration on the use of Anthropic, an artificial intelligence company, by the U.S. government. The ban is part of a wider effort to limit the use of certain foreign-made technologies in the federal government due to national security concerns.

As of right now there's several stories on a hot topic, each of which have 15-30 upvotes and several comments, and none of which are on the front page: https://hn.algolia.com/?dateRange=last24h&page=0&prefix=false&query=trump%20anthropic&sort=byPopularity&type=story

Hope dang &co can get a handle on the issue!

The article discusses OpenAI's decision to no longer evaluate software engineering benchmarks, citing a shift in the organization's priorities and a desire to focus on more impactful research areas. It highlights the limitations of standardized benchmarks and the need to explore alternative approaches to measure and improve AI systems.

Frevana, a marketing technology company, has launched its AEO Agent team to help brands succeed in the Answer Economy by providing AI-powered solutions that deliver personalized, contextual answers to customer questions.

This article provides tips for testing the speed of an ecommerce website, including using free online tools, analyzing server response times, and optimizing images and other assets to improve overall website performance.

Anthropic, an AI company, has won a contract with the US Department of Defense to develop AI systems that can assist in military operations, but will not be used for autonomous weapons. This contract reflects the ongoing efforts to harness AI technology for defense purposes while addressing concerns about the use of AI in lethal autonomous weapons.

This article presents an efficient implementation of the Segmented Sieve of Eratosthenes algorithm for finding prime numbers, optimized for the M60-7 processor. The author discusses the algorithm's performance and how it can be further improved through various optimizations.

I haven't really heard anyone bring up this topic, so I thought I'd open a discussion here.

To me the appeals are obvious. AI governments could theoretically be incorruptible, tireless, consistent, and capable of processing vastly more information than human bureaucracies. They wouldn't accept bribes, play favorites for personal gain, or make decisions based on re-election anxiety. Policy could be optimized across decades rather than election cycles.

Practically, I don't know how it would work. What do people here think?

The article discusses President Trump's executive order aimed at regulating the use of artificial intelligence (AI) by federal agencies, with a focus on increased transparency, accountability, and oversight of AI systems.

The article discusses West Virginia's lawsuit against Apple's child sexual abuse material (CSAM) detection system, arguing that the lawsuit would make it easier for child predators to avoid detection and walk free, undermining efforts to protect children online.

This article discusses a security researcher's experience hacking a Raspberry Pi device and earning a bug bounty. It highlights the researcher's approach, the vulnerabilities discovered, and the lessons learned from the bug bounty program.

The article discusses the challenges of achieving greatness, even for those with exceptional talent and opportunities. It emphasizes that the 'best' in any field still face significant obstacles and personal struggles to reach the pinnacle of their profession.

The article discusses the reaction of thieves who are upset about being the victims of theft themselves. It highlights the irony and hypocrisy of criminals complaining about their own property being stolen, underscoring the subjective nature of morality and the law.

Drop a contract or other legal document in and see how many mistakes there are. It will probably be eye-opening.

The article discusses the concept of the 'silent filter', where people often self-censor their thoughts and opinions due to social pressures and the fear of being judged or criticized. It explores the impact of this phenomenon on open discourse and the importance of creating an environment that encourages authentic expression.

Zora is a scalable, fast, and efficient blockchain network designed for decentralized applications. It utilizes a novel consensus mechanism and offers features such as smart contracts, token issuance, and a decentralized exchange.

Hey all,

I recently built the first version of my project to play and create interactive story games with AI agents.

Each game can have up to 20 agents, each agent can have an image, voice, access to other agents, and resources to enhance the experience. All game configuration has logic conditions you can set. For example, from agent A you can only access agent B if you've visited agent C or you have a specific resource item.

You can create anything from a murder mystery to a dungeon crawler. The resources are dynamic and can set drop rates, make stackable for currencies or health, and give them their own images as well.

To play: Type or speak in game. If you want to go somewhere, say where you want to go. To create: Describe what you want. You can manually configure as well.

You can try it for free. I'd really love your feedback. There was a lot of trickiness along the way to build this, so I learned a lot. More improvements to come

Happy to answer any questions, thank you!

OxyJen is an open-source tool that monitors and reports on the air quality in a given location, providing users with real-time data and insights to help them make informed decisions about their environment.

In Serbia, for a long time, the only way to use an eID was by having a Windows machine. Over the last year, I slowly implemented an open source module by reading the PKCS#11 standard and sniffing the USB traffic of the official (Windows) module. The result is a shared library that can be used on *nix systems, removing the need for Windows for many citizens of Serbia.

The article discusses the challenges of developing AI-powered therapy, known as the 'hard problem' of AI. It explores the complexities involved in replicating human-like empathy, emotional understanding, and the nuanced dynamics of the therapist-client relationship through artificial intelligence.

The article examines the relationship between overwork and a Marxist worldview, suggesting that the demanding nature of certain jobs can lead workers to develop a more critical perspective on capitalism and social inequality.

The article discusses the importance of refactoring in software development, highlighting that it is primarily done for the benefit of humans rather than machines. It emphasizes the need to prioritize code readability and maintainability to support the understanding and collaboration of developers working on a codebase.