Most of the value in SpaceX's IPO is effectively a call option on the company's ambitious space data center plans.
Hey gang, you may remember me from such books as _The Lean Startup_ and _The Startup Way_. It's been fifteen years since I wrote The Lean Startup, and in that time I've seen some things. In both big companies and tiny startups, NGOs and governments, in almost every industry you can name. I've helped a lot of people create a lot of amazing companies, but I've also seen so many ways this can go wrong. There's a darkness in our industry that we often don't talk about. I kept watching good companies
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Hi HN! I made this after collecting hundreds of "name → tree" submissions at ITP. Live: https://landscape.bairui.dev/ Source: https://github.com/pearmini/infinite-landscape Plant a tree: https://tree.bairui.dev/ Pan and zoom an infinite procedural landscape. Each name is converted to ASCII codes, which grow into a unique tree (breadth-first branching; repeated digits become mathematical roses). Mountains use midpoint displacement + Perlin noise, with SVG radial gradients in the blue/green/gold p
Microsoft Office 2019 for Mac will effectively become useless next month.
A very healthy view of AI . And omg, wow, Croatia has such a big company! I really wish this guy and his team good luck. It’s no wonder they’ve lasted 20 years. submitted by /u/Expensive-Cookie-106 [link] [留言]
Pinterest is adding support for Amazon Storefronts, allowing creators to earn affiliate commissions more easily while showcasing their product recommendations in one place.
Through the acquisition, WMG aims to better track when its artists' work is used in AI-generated content or for training AI models.
Who's ready for Zuckcession?
Hey What non mainstream AI subscriptions are actually worth paying for right now? I already know the big ones like ChatGPT Claude and Gemini I am more interested in smaller or lesser known tools that are actually useful and not just hype. What do you personally use and think is worth it? submitted by /u/wiwawolfi [link] [留言]
AI infrastructure spending is still accelerating, especially in data centers and advanced chip production. While most attention goes to chip makers, the companies enabling that ecosystem may have a longer runway. Do any of you work in similar companies and can give a broader perspective on it ? Teradyne sits in a pretty interesting spot. More AI chips being produced means more testing capacity is needed, and this is one of the key players in semiconductor testing equipment. Could testing equipment companies outperform some of the more crowded AI trades over the next few years? For me personally I feel like AI hardware growth probably creates winners beyond just the obvious names, and TER seems like one of the more overlooked candidates. I learned they are also being listed on bitget recently so looking at a bigger picture we are watching a lot of growth happening in Ai infra. submitted by /u/Stunning-Ask3032 [link] [留言]
Seems like they have engineered some specific limitations that are widely cited as follows: In light of the ability of recent models to accelerate their own development, we’ve implemented new interventions that limit Claude’s effectiveness for requests targeting frontier LLM development (for example, on building pretraining pipelines, distributed training infrastructure, or ML accelerator design). Using Claude to develop competing models already violates our Terms of Service, but enforcing this restriction through our safeguards avoids accelerating the actors most willing to violate these terms. Unlike our interventions for cybersecurity, biology and chemistry, and distillation attempts, these safeguards will not be visible to the user. Fable 5 will not fall back to a different model. Instead, the safeguards will limit effectiveness through methods such as prompt modification, steering vectors, or parameter-efficient fine-tuning (PEFT). These interventions will not affect the vast majority of coding work. We estimate they will impact ~0.03% of traffic, concentrated in fewer than 0.1% of organizations https://news.ycombinator.com/item?id=48464732 Other comments note how even using the word 'nuclear' in the context of scientific research elicits refusal behavior by the model: https://news.ycombinator.com/item?id=48473302 This makes it seem quite plausible that the model could subtly sabotage any machine learning work (even as false positive). Some suggest this has been happening behind the scenes for a while already, but can anyone confirm that? submitted by /u/AccomplishedCat4770 [link] [留言]
ServiceNow is used by thousands of enterprises to automate their internal processes, but says several customers had data accessed because of a security bug.
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After over a decade, Steam will no longer sell physical gift cards in stores. In a support page spotted earlier by Windows Central, Valve says it will no longer restock its gift cards once they run out, citing scammers who "continue to have an impact on Steam customers and other unsuspecting individuals." In its post, […]
Websites are so back! Today's website worth visiting is The Pelley Minutes, a clever project that puts the career of longtime 60 Minutes correspondent Scott Pelley into perspective. The show may only be 60 minutes long, but Pelley racked up nearly 37,000 minutes in his 37-year long career, reporting on almost everything humanity has put […]
A cybercrime group known as The Gentlemen has emerged as the second most active ransomware gang by victim count, rapidly attracting a talented pool of hackers through an aggressive recruitment strategy that promises affiliates 90 percent of any ransom paid by victims. This post examines clues pointing to a real life identity for the administrator of The Gentlemen ransomware group.