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Sundar Pichai faces boos, walkout at Stanford graduation ceremony over Google’s Israel, ICE ties | TechCrunch Over the weekend, Google CEO Sundar Pichai faced a small revolt when he delivered his commencement speech at Stanford University, where he earned his graduate degree in materials science and engineering. About 200 students from the graduating class reportedly walked out, while others loudly booed the tech executive. The focus of the protest was Google’s defense ties — including Project Nimbus, the controversial .2 billion contract, shared with Amazon, to provide cloud and AI services to the Israeli military, as well as its relationship with the U.S. Immigration and Customs Enforcement agency. Student signs included phrases like “ICE SPIES WITH GOOGLE AI” and “GENOCIDE RUNS ON GOOGLE,” as well as “FREE FREE PALESTINE,” a press release associated with the protest notes. Students also waved Palestinian flags and shouted “free Palestine,” online video of the protest shows. “We are walking out because we refuse to glorify the corporations that fuel this violence and exercise our power to choose differently,” a statement associated with the protest reads. The walkout was organized by a number of campus activist groups, including Stanford Students for Justice in Palestine, No Tech for Apartheid, and Tech for Liberation. TechCrunch reached out to Google for comment. As the war in Gaza has raged, Google’s participation in Nimbus has drawn protests from both inside and outside of the company. In 2024, Google fired 28 workers for protesting the contract, although it has continued to suffer internal dissent over the issue since then. It was also recently criticized by the Electronic Frontier Foundation, which accused it and other companies of “choosing to look the other way” on Israel’s use of their services. Project Nimbus also enjoys support from Amazon. Microsoft has also been criticized for its support of the Israeli military, although the company restricted the Israeli government’s use of its technology after an investigation found that its cloud services were being used to mass-surveil Palestinians. The student protest also drew criticism from business leaders online. Vinod Khosla, the billionaire co-founder of Sun Microsystems and one of Silicon Valley’s most prominent venture capitalists, posted on X that the protest was “biased, idiotic, short-sighted and very selfish,” adding that it was selfish because the students “ignored the bottom 3 billion people on this planet that could benefit from AI and they are worried about their misinformed selfish self-interest.” Pichai’s appearance at Stanford is part of a broader pattern. Speakers at college graduation ceremonies around the country have faced boos when they have attempted to get outgoing college students excited about AI. But rarely has student animus been as targeted as it was with Pichai, directed not at AI hype, but at the specific business decisions made by the company he leads. In general, young people seem to believe that AI is threatening their employment opportunities and may be ruining other parts of society as well. When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Sundar #Pichai #faces #boos #walkout #Stanford #graduation #ceremony #Googles #Israel #ICE #ties #TechCrunchGoogle,ICE,Israel,Sundar Pichai

Sundar Pichai faces boos, walkout at Stanford graduation ceremony over Google’s Israel, ICE ties | TechCrunch

Over the weekend, Google CEO Sundar Pichai faced a small revolt when he delivered his commencement speech at Stanford University, where he earned his graduate degree in materials science and engineering. About 200 students from the graduating class reportedly walked out, while others loudly booed the tech executive.

The focus of the protest was Google’s defense ties — including Project Nimbus, the controversial $1.2 billion contract, shared with Amazon, to provide cloud and AI services to the Israeli military, as well as its relationship with the U.S. Immigration and Customs Enforcement agency.

Student signs included phrases like “ICE SPIES WITH GOOGLE AI” and “GENOCIDE RUNS ON GOOGLE,” as well as “FREE FREE PALESTINE,” a press release associated with the protest notes. Students also waved Palestinian flags and shouted “free Palestine,” online video of the protest shows.

“We are walking out because we refuse to glorify the corporations that fuel this violence and exercise our power to choose differently,” a statement associated with the protest reads.

The walkout was organized by a number of campus activist groups, including Stanford Students for Justice in Palestine, No Tech for Apartheid, and Tech for Liberation. TechCrunch reached out to Google for comment.

As the war in Gaza has raged, Google’s participation in Nimbus has drawn protests from both inside and outside of the company. In 2024, Google fired 28 workers for protesting the contract, although it has continued to suffer internal dissent over the issue since then. It was also recently criticized by the Electronic Frontier Foundation, which accused it and other companies of “choosing to look the other way” on Israel’s use of their services.

Project Nimbus also enjoys support from Amazon. Microsoft has also been criticized for its support of the Israeli military, although the company restricted the Israeli government’s use of its technology after an investigation found that its cloud services were being used to mass-surveil Palestinians.

The student protest also drew criticism from business leaders online. Vinod Khosla, the billionaire co-founder of Sun Microsystems and one of Silicon Valley’s most prominent venture capitalists, posted on X that the protest was “biased, idiotic, short-sighted and very selfish,” adding that it was selfish because the students “ignored the bottom 3 billion people on this planet that could benefit from AI and they are worried about their misinformed selfish self-interest.”

Pichai’s appearance at Stanford is part of a broader pattern. Speakers at college graduation ceremonies around the country have faced boos when they have attempted to get outgoing college students excited about AI. But rarely has student animus been as targeted as it was with Pichai, directed not at AI hype, but at the specific business decisions made by the company he leads. In general, young people seem to believe that AI is threatening their employment opportunities and may be ruining other parts of society as well.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Sundar #Pichai #faces #boos #walkout #Stanford #graduation #ceremony #Googles #Israel #ICE #ties #TechCrunchGoogle,ICE,Israel,Sundar Pichai

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Over the weekend, Google CEO Sundar Pichai faced a small revolt when he delivered his commencement speech at Stanford University, where he earned his graduate degree in materials science and engineering. About 200 students from the graduating class reportedly walked out, while others loudly booed the tech executive.

The focus of the protest was Google’s defense ties — including Project Nimbus, the controversial $1.2 billion contract, shared with Amazon, to provide cloud and AI services to the Israeli military, as well as its relationship with the U.S. Immigration and Customs Enforcement agency.

Student signs included phrases like “ICE SPIES WITH GOOGLE AI” and “GENOCIDE RUNS ON GOOGLE,” as well as “FREE FREE PALESTINE,” a press release associated with the protest notes. Students also waved Palestinian flags and shouted “free Palestine,” online video of the protest shows.

“We are walking out because we refuse to glorify the corporations that fuel this violence and exercise our power to choose differently,” a statement associated with the protest reads.

The walkout was organized by a number of campus activist groups, including Stanford Students for Justice in Palestine, No Tech for Apartheid, and Tech for Liberation. TechCrunch reached out to Google for comment.

As the war in Gaza has raged, Google’s participation in Nimbus has drawn protests from both inside and outside of the company. In 2024, Google fired 28 workers for protesting the contract, although it has continued to suffer internal dissent over the issue since then. It was also recently criticized by the Electronic Frontier Foundation, which accused it and other companies of “choosing to look the other way” on Israel’s use of their services.

Project Nimbus also enjoys support from Amazon. Microsoft has also been criticized for its support of the Israeli military, although the company restricted the Israeli government’s use of its technology after an investigation found that its cloud services were being used to mass-surveil Palestinians.

The student protest also drew criticism from business leaders online. Vinod Khosla, the billionaire co-founder of Sun Microsystems and one of Silicon Valley’s most prominent venture capitalists, posted on X that the protest was “biased, idiotic, short-sighted and very selfish,” adding that it was selfish because the students “ignored the bottom 3 billion people on this planet that could benefit from AI and they are worried about their misinformed selfish self-interest.”

Pichai’s appearance at Stanford is part of a broader pattern. Speakers at college graduation ceremonies around the country have faced boos when they have attempted to get outgoing college students excited about AI. But rarely has student animus been as targeted as it was with Pichai, directed not at AI hype, but at the specific business decisions made by the company he leads. In general, young people seem to believe that AI is threatening their employment opportunities and may be ruining other parts of society as well.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

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#Sundar #Pichai #faces #boos #walkout #Stanford #graduation #ceremony #Googles #Israel #ICE #ties #TechCrunch

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3 जुलाई को होने वाले प्रीमियर से पहले आया ‘प्रीतम एंड पेड्रो’ का ट्रेलर<p><img src="https://static.samacharjagatlive.com/newscdn/resources/uploads/ALL-NEWS/15062026/1781521567.jpg" width="600px" /> </p> <p>मुंबई। एक बेहद दिलचस्प फर्स्ट लुक के बाद, जियोहॉटस्टार ने उस 'प्रीतम एंड पेड्रो' का आधिकारिक ट्रेलर रिलीज़ कर दिया है, जिसने जवाब देने से ज़्यादा दर्शकों के मन में कई सवाल छोड़ दिए थे। यह सीरीज़ कॉमेडी, सस्पेंस, ड्रामे और एक अनोखी पार्टनरशिप से भरपूर, मनोरंजन का एक ज़बरदस्त डोज़ होने वाली है। गोवा की चकाचौंध और रंगीन माहौल पर बनी 'प्रीतम एंड पेड्रो' दो बिल्कुल अलग दुनिया के लोगों की कहानी है, जो बेहद अजीब और असामान्य हालातों में एक-दूसरे से टकराते हैं। इस कहानी के केंद्र में पेड्रो और प्रीतम हैं। पेड्रो अपने अनुभवों और अंदरूनी ज्ञान से चलने वाला एक पुराने ज़माने का पुलिसवाला है जबकि प्रीतम एक तेज़-तर्रार युवा टेक एक्सपर्ट है। ये दोनों खुद को एक ऐसे रहस्य में घिरा पाते हैं जो उन दोनों की कल्पना से कहीं ज़्यादा बड़ा, अजीब और अप्रत्याशित है। जैसे-जैसे उनकी यात्रा आगे बढ़ती है, रहस्य ज्यादा गहरे होते जाते हैं, वफादारी काे कसौटी पर परखा जाता है और हर मोड़ पर नई उथल-पुथल मचती है, नया हंगामा खड़ा होता है।</p> <p>राजकुमार हिरानी द्वारा निर्मित और मशहूर फिल्म निर्माता अविनाश अरुण द्वारा निर्देशित, यह सीरीज़ एक या दो नहीं बल्कि शानदार कलाकारों की पूरी टोली को एक साथ लाती है, जिसमें अरशद वारसी, विक्रांत मैसी, वीर हिरानी, मोना सिंह और बोमन ईरानी जैसे मंझे हुए अदाकार शामिल हैं। राजकुमार हिरानी के सिग्नेचर स्टाइल, यानी दिल छू लेने वाले अपनेपन और इंसानियत को कॉमेडी, सस्पेंस और आज के ज़माने के मुद्दों के साथ मिक्स करके बनाई गई 'प्रीतम एंड पेड्रो', दर्शकों के लिए कहानी बताने का एक बिल्कुल नया, रोमांचक और धमाकेदार अंदाज़ लेकर आई है।</p> <p>आलोक जैन, हेड – हिंदी एंड इंग्लिश एंटरटेनमेंट बिज़नेस (स्ट्रीमिंग, टीवी एंड स्टूडियोज) ने कहा: "एक बेहतरीन कहानी पर सिर्फ कुछ गिने-चुने लोगों का हक नहीं होना चाहिए, वह हर आम और खास तक पहुँचनी चाहिए और हम बिल्कुल यही कर रहे हैं। हम पूरे देश के कंटेंट देखने के तरीके को बदल रहे हैं; यह लोगों के जीवन का हिस्सा बन रहा है, उनके रोज़ाना के सफ़र, शाम को सुकून के पलों और परिवार के साथ बिताए जाने वाले समय में शामिल हो रहा है। सबसे शानदार किरदार वो होते हैं जो स्क्रीन बंद होने के बाद भी आपके दिलो-दिमाग पर छाए रहें, और 'प्रीतम एंड पेड्रो' में दर्शकों को बिल्कुल ऐसा ही साथ मिलने वाला है। इस कहानी के केंद्र में दो ऐसे अनोखे और बेमेल किरदार हैं, जो आपको हँसाएंगे, हैरान करेंगे और आपका दिल जीत लेंगे। राजकुमार हिरानी जैसा जादू लगातार बिखेरने वाले कहानीकार बहुत कम होते हैं, जिनकी कहानियाें ने हर पीढ़ी के दिलों को छुआ है। हमें बेहद गर्व है कि हम उनके जैसे दिग्गज क्रिएटर को स्ट्रीमिंग की दुनिया में लेकर आ रहे हैं। आज के दर्शकों की लाइफस्टाइल और पसंद को ध्यान में रखकर बनाई गई 'प्रीतम एंड पेड्रो' इस बात की जीती-जागती मिसाल है कि हम जियोहॉटस्टार पर किस तरह की चीज़ें बना रहे हैं।"</p> <p><img alt="" border="0" hspace="0" src="https://static.samacharjagatlive.com/newscdn/resources/uploads/ALL-NEWS/15062026/1781521790.jpg" style="border:0px solid black;height:900px;margin-bottom:0px;margin-left:0px;margin-right:0px;margin-top:0px;width:1200px" vspace="0" /></p> <p>राजकुमार हिरानी ने कहा: "इस कहानी में मुझे जिस चीज़ ने सबसे ज़्यादा उत्साहित किया, वह था इसके केंद्र में मौजूद रिश्ता। प्रीतम और पेड्रो पूरी तरह से अलग तरह की दुनिया से आते हैं और ज़िंदगी को देखने का उनका नज़रिया भी पूरी तरह से अलग है, लेकिन इसके बावजूद वे एक ही सफ़र पर, एक साथ निकलने के लिए मजबूर होते हैं। मैं हमेशा से ऐसे लोगों की कहानियों की तरफ खिंचा चला जाता हूँ, जिनमें कमियाँ हों, विरोधाभास हों और जो सफ़र के दौरान अनजाने में करीब आते हैं। इस सीरीज़ ने हमें किरदारों और दुनिया के साथ खूब सारी मस्ती करते हुए सभी चीज़ों को एक्सप्लोर करने का मौका दिया। मैं बेहद एक्साइटेड हूँ कि अब दर्शक फाइनली जियोहॉटस्टार पर इसका अनुभव ले सकेंगे।"</p> <p><img alt="" border="0" hspace="0" src="https://static.samacharjagatlive.com/newscdn/resources/uploads/ALL-NEWS/15062026/1781521845.jpg" style="border:0px solid black;height:900px;margin-bottom:0px;margin-left:0px;margin-right:0px;margin-top:0px;width:1200px" vspace="0" /></p> <p>अविनाश अरुण ने कहा: "'प्रीतम एंड पेड्रो' में मुझे जिस चीज़ ने आकर्षित किया, वह थी इसकी आपको लगातार हैरान करने की क्षमता। यह हँसी-मज़ाक और हंगामे से भरी एक कहानी है, लेकिन साथ ही मानवीय रिश्तों में गहराई से बुनी हुई है। हम एक ऐसी दुनिया बनाना चाहते थे जो दर्शकों को पूरी तरह अपने में समेट ले और एक ही समय पर भरपूर मनोरंजन करने के साथ ही उनके दिलों को भी छू जाए। ज़बरदस्त स्टारकास्ट के साथ इन किरदारों को पर्दे पर ज़िंदा करना मेरे लिए एक बेहद शानदार और सुकून देने वाला अनुभव था।"</p> <p>अरशद वारसी ने कहा: "पेड्रो उन किरदारों में से एक है जो ज़िंदगी को लेकर ज़्यादा सोच-विचार नहीं करता; वो बस अपने दिल की सुनता है, अपने अनुभवों पर भरोसा करता है और इसी कारण अक्सर ऐसी स्थिति में पहुँच जाता है, जहाँ उसे बिल्कुल नहीं होना चाहिए। इस शो की जो बात मुझे सबसे बेस्ट लगी, वो थी इस सफ़र का पागलपन, कॉमेडी और हर मोड़ पर मिलने वाला सरप्राइज़। मुझे लगता है कि जब दर्शक इस कहानी को स्क्रीन पर खुलते हुए देखेंगे, तो उन्हें भरपूर मज़ा आएगा।"</p> <p>विक्रांत मैसी ने कहा: "जिस चीज़ ने मुझे इस सीरीज़ की तरफ अट्रैक्ट किया, वो ये था कि ये एक ही समय में कितनी परतों वाली (गहरी) और एंटरटेनिंग है। इसमें कॉमेडी है, सस्पेंस है, इमोशन है और बहुत सारे हैरान कर देने वाले ट्विस्ट्स (मोड़) हैं। हर किरदार का अपना एक एजेंडा है, अपनी कमियाँ हैं और अपना एक अलग सफ़र है, जो इस पूरी दुनिया को एकदम असली और वास्तविक बना देता है। मुझे इतने अनोखे प्रोजेक्ट का हिस्सा बनने पर काफी खुशी हुई।"</p> <p>वीर हिरानी ने कहा: "मेरे लिए इस पूरे सफर की सबसे खास बात यह रही कि मुझे इंडस्ट्री के सबसे बेहतरीन एक्टर्स और कहानीकारों में से कुछ के साथ सीखने का मौका मिला। सेट पर हर दिन एक मास्टरक्लास जैसा महसूस होता था—चाहे अरशद सर को किसी सीन में इतनी आसानी से कॉमेडी लाते हुए देखना हो, हर छोटी से छोटी बारीकी पर विक्रांत का वो कमाल का फोकस हो, मोना मैम का वो अपनापन और जिंदादिली हो, या फिर कैमरे के पीछे अविनाश सर से बारीकियां सीखना हो। एक एक्टर के तौर पर सीखने, आगे बढ़ने और अपने पैर जमाने के लिए मैं इससे बेहतर माहौल की उम्मीद कभी भी नहीं कर सकता था। मैं बेहद एक्साइटेड हूँ कि अब फाइनली दर्शक 'प्रीतम एंड पेड्रो' की इस अजीब दुनिया को स्क्रीन पर देख पाएंगे।"</p> <p>कॉमेडी, सस्पेंस, इमोशन और एडवेंचर के अपने अनोखे कॉम्बिनेशन के साथ, 'प्रीतम एंड पेड्रो' दर्शकों को बांधे रखने वाले एक ज़बरदस्त एंटरटेनमेंट और एक्सपीरियंस का वादा करती है, जो अपनी मिट्टी से जुड़ी होने के साथ-साथ हर तरह के दर्शकों को पसंद आएगी। जियोहॉटस्टार पर 3 जुलाई से विशेष रूप से 'प्रीतम एंड पेड्रो' ज़रूर देखें।<br /> अपडेट खबरों के लिए हमारा<a href="https://whatsapp.com/channel/0029VaHJjbnAjPXVBcdtHk0P">वॉट्सएप चैनल</a><a href="https://whatsapp.com/channel/0029VaBgLMfGU3BO99EQv62t"></a>फोलो करें</p>Trailer, Pritam and Pedro released, premiere

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is*hosting for their Linux VPS hosting to get the job done. Flexible server solutions make it possible to configure resources, select a suitable location, and deploy the environment automatically.

The list of users who will find this helpful is extensive: DevOps engineers, web application developers, SaaS platforms, and many others. Using open-source tools helps them create a reliable, transparent, and scalable environment for development and operations.

DevOps is today one of the key approaches to creating and managing software products. It connects development, testing, and operations, helping teams work faster. Open-source tools make workflows easier and flexible. Open source is basically built to bend. You can customize your tools, stitch them together, and automate the boring stuff. Honestly, it’s a perfect fit for pretty much anything — web, mobile, cloud, data, or AI. 

It is fair to say that several specific DevOps components help automate processes, improve system stability, and shorten the time between product development and launch. These include:

  • application build automation;
  • containerization of production services;
  • server configuration management;
  • infrastructure health monitoring;
  • secure storage of credentials.

Less manual grunt work means fewer mistakes. Auto-deploys let you ship updates in a flash, while smart monitoring catches performance bottlenecks before they become fires. 

Scalable Infrastructure for DevOps Teams

In practice, any DevOps model requires a reliable and powerful infrastructure. Every project, even the smallest one, must have the ability to quickly scale resources as more and more users join or as technical requirements change. The server environment must support flexible power settings, rapid creation of new environments, and stable service operation.

International IaaS providers offer VPS/VDS, dedicated servers, VPN services, and additional infrastructure solutions. Users can configure key server parameters, including:

  • processing power;
  • amount of RAM;
  • drive type;
  • data center location.

A broad infrastructure geography makes it possible to select suitable locations for different projects and reduce access latency. Such opportunities are in demand in various fields. Online stores use scalable servers to handle large numbers of requests.

When choosing DevOps infrastructure, it is important to consider not only current challenges but also growth prospects. A flexible server platform should allow configuration changes without complex migrations. Among the most popular features are:

  • setting up CPU and RAM;
  • use of fast NVMe drives;
  • support for different operating systems;
  • connecting additional IP addresses;
  • automatic deployment of environments;
  • integration via API tools.

This model makes it easier for technicians and helps launch new projects faster. DevOps teams can create test environments, run experiments, and migrate applications between environments with minimal time investment.

Fundamentals of System Security and Resilience

As soon as digital products begin to evolve, securing the system as a whole becomes just as important as maintaining performance. Good companies must secure the users data, provide uninterrupted service, and minimize the risk of breakdowns.

It is exactly these advanced open-source tools that help not only manage the entire system but also monitor it clearly. Teams will be able to track changes, audit settings, and implement additional security measures. When building a secure DevOps environment, special attention is paid to the following aspects:

  • isolation of virtual servers;
  • data backup;
  • protecting network connections;
  • use of IPv4 and IPv6;
  • user access control.

KVM technology ensures effective isolation of virtual machines and stable operation of VPS servers. SSDs and NVMe drives enable faster processing, and the latest generation of Intel Xeon and AMD EPYC processors allows you to run resource-intensive applications.

How to Choose Infrastructure for Long-Term Development

Choose a server that actually grows with you. You want to scale smoothly without hitting hidden fees. Look for clear, pay-as-you-go pricing — it’s the smartest way for startups to get top-tier tech without breaking the bank. 

Flexible servers work for almost any project. Building an edtech app? Marketing tools? Analytics? AI? To summarize, good infrastructure is the secret sauce to keep your product growing smoothly.

When you need a comprehensive strategy, keep in mind that it can only be based on a successful combination of elements. This includes automation, open-source tools, and high-quality server infrastructure. Together, they create a secure and scalable DevOps environment. These technologies help developers build products faster, monitor all critical processes, and manage resources as efficiently as possible.

#Building #Secure #Scalable #DevOps #Environment #OpenSource #ToolsDevOps">Building a Secure and Scalable DevOps Environment Using Open-Source Tools We can all see how the newest digital products require flexibility and the ability to scale quickly together with the business. At the same time, they must cope with growing workloads. That’s why teams choose is*hosting for their Linux VPS hosting to get the job done. Flexible server solutions make it possible to configure resources, select a suitable location, and deploy the environment automatically. The list of users who will find this helpful is extensive: DevOps engineers, web application developers, SaaS platforms, and many others. Using open-source tools helps them create a reliable, transparent, and scalable environment for development and operations. DevOps is today one of the key approaches to creating and managing software products. It connects development, testing, and operations, helping teams work faster. Open-source tools make workflows easier and flexible. Open source is basically built to bend. You can customize your tools, stitch them together, and automate the boring stuff. Honestly, it’s a perfect fit for pretty much anything — web, mobile, cloud, data, or AI.  It is fair to say that several specific DevOps components help automate processes, improve system stability, and shorten the time between product development and launch. These include: application build automation; containerization of production services; server configuration management; infrastructure health monitoring; secure storage of credentials. Less manual grunt work means fewer mistakes. Auto-deploys let you ship updates in a flash, while smart monitoring catches performance bottlenecks before they become fires.  Scalable Infrastructure for DevOps Teams In practice, any DevOps model requires a reliable and powerful infrastructure. Every project, even the smallest one, must have the ability to quickly scale resources as more and more users join or as technical requirements change. The server environment must support flexible power settings, rapid creation of new environments, and stable service operation. International IaaS providers offer VPS/VDS, dedicated servers, VPN services, and additional infrastructure solutions. Users can configure key server parameters, including: processing power; amount of RAM; drive type; data center location. A broad infrastructure geography makes it possible to select suitable locations for different projects and reduce access latency. Such opportunities are in demand in various fields. Online stores use scalable servers to handle large numbers of requests. When choosing DevOps infrastructure, it is important to consider not only current challenges but also growth prospects. A flexible server platform should allow configuration changes without complex migrations. Among the most popular features are: setting up CPU and RAM; use of fast NVMe drives; support for different operating systems; connecting additional IP addresses; automatic deployment of environments; integration via API tools. This model makes it easier for technicians and helps launch new projects faster. DevOps teams can create test environments, run experiments, and migrate applications between environments with minimal time investment. Fundamentals of System Security and Resilience As soon as digital products begin to evolve, securing the system as a whole becomes just as important as maintaining performance. Good companies must secure the users data, provide uninterrupted service, and minimize the risk of breakdowns. It is exactly these advanced open-source tools that help not only manage the entire system but also monitor it clearly. Teams will be able to track changes, audit settings, and implement additional security measures. When building a secure DevOps environment, special attention is paid to the following aspects: isolation of virtual servers; data backup; protecting network connections; use of IPv4 and IPv6; user access control. KVM technology ensures effective isolation of virtual machines and stable operation of VPS servers. SSDs and NVMe drives enable faster processing, and the latest generation of Intel Xeon and AMD EPYC processors allows you to run resource-intensive applications. How to Choose Infrastructure for Long-Term Development Choose a server that actually grows with you. You want to scale smoothly without hitting hidden fees. Look for clear, pay-as-you-go pricing — it’s the smartest way for startups to get top-tier tech without breaking the bank.  Flexible servers work for almost any project. Building an edtech app? Marketing tools? Analytics? AI? To summarize, good infrastructure is the secret sauce to keep your product growing smoothly. When you need a comprehensive strategy, keep in mind that it can only be based on a successful combination of elements. This includes automation, open-source tools, and high-quality server infrastructure. Together, they create a secure and scalable DevOps environment. These technologies help developers build products faster, monitor all critical processes, and manage resources as efficiently as possible. #Building #Secure #Scalable #DevOps #Environment #OpenSource #ToolsDevOps

for their Linux VPS hosting to get the job done. Flexible server solutions make it possible to configure resources, select a suitable location, and deploy the environment automatically.

The list of users who will find this helpful is extensive: DevOps engineers, web application developers, SaaS platforms, and many others. Using open-source tools helps them create a reliable, transparent, and scalable environment for development and operations.

DevOps is today one of the key approaches to creating and managing software products. It connects development, testing, and operations, helping teams work faster. Open-source tools make workflows easier and flexible. Open source is basically built to bend. You can customize your tools, stitch them together, and automate the boring stuff. Honestly, it’s a perfect fit for pretty much anything — web, mobile, cloud, data, or AI. 

It is fair to say that several specific DevOps components help automate processes, improve system stability, and shorten the time between product development and launch. These include:

  • application build automation;
  • containerization of production services;
  • server configuration management;
  • infrastructure health monitoring;
  • secure storage of credentials.

Less manual grunt work means fewer mistakes. Auto-deploys let you ship updates in a flash, while smart monitoring catches performance bottlenecks before they become fires. 

Scalable Infrastructure for DevOps Teams

In practice, any DevOps model requires a reliable and powerful infrastructure. Every project, even the smallest one, must have the ability to quickly scale resources as more and more users join or as technical requirements change. The server environment must support flexible power settings, rapid creation of new environments, and stable service operation.

International IaaS providers offer VPS/VDS, dedicated servers, VPN services, and additional infrastructure solutions. Users can configure key server parameters, including:

  • processing power;
  • amount of RAM;
  • drive type;
  • data center location.

A broad infrastructure geography makes it possible to select suitable locations for different projects and reduce access latency. Such opportunities are in demand in various fields. Online stores use scalable servers to handle large numbers of requests.

When choosing DevOps infrastructure, it is important to consider not only current challenges but also growth prospects. A flexible server platform should allow configuration changes without complex migrations. Among the most popular features are:

  • setting up CPU and RAM;
  • use of fast NVMe drives;
  • support for different operating systems;
  • connecting additional IP addresses;
  • automatic deployment of environments;
  • integration via API tools.

This model makes it easier for technicians and helps launch new projects faster. DevOps teams can create test environments, run experiments, and migrate applications between environments with minimal time investment.

Fundamentals of System Security and Resilience

As soon as digital products begin to evolve, securing the system as a whole becomes just as important as maintaining performance. Good companies must secure the users data, provide uninterrupted service, and minimize the risk of breakdowns.

It is exactly these advanced open-source tools that help not only manage the entire system but also monitor it clearly. Teams will be able to track changes, audit settings, and implement additional security measures. When building a secure DevOps environment, special attention is paid to the following aspects:

  • isolation of virtual servers;
  • data backup;
  • protecting network connections;
  • use of IPv4 and IPv6;
  • user access control.

KVM technology ensures effective isolation of virtual machines and stable operation of VPS servers. SSDs and NVMe drives enable faster processing, and the latest generation of Intel Xeon and AMD EPYC processors allows you to run resource-intensive applications.

How to Choose Infrastructure for Long-Term Development

Choose a server that actually grows with you. You want to scale smoothly without hitting hidden fees. Look for clear, pay-as-you-go pricing — it’s the smartest way for startups to get top-tier tech without breaking the bank. 

Flexible servers work for almost any project. Building an edtech app? Marketing tools? Analytics? AI? To summarize, good infrastructure is the secret sauce to keep your product growing smoothly.

When you need a comprehensive strategy, keep in mind that it can only be based on a successful combination of elements. This includes automation, open-source tools, and high-quality server infrastructure. Together, they create a secure and scalable DevOps environment. These technologies help developers build products faster, monitor all critical processes, and manage resources as efficiently as possible.

#Building #Secure #Scalable #DevOps #Environment #OpenSource #ToolsDevOps">Building a Secure and Scalable DevOps Environment Using Open-Source Tools

We can all see how the newest digital products require flexibility and the ability to scale quickly together with the business. At the same time, they must cope with growing workloads. That’s why teams choose is*hosting for their Linux VPS hosting to get the job done. Flexible server solutions make it possible to configure resources, select a suitable location, and deploy the environment automatically.

The list of users who will find this helpful is extensive: DevOps engineers, web application developers, SaaS platforms, and many others. Using open-source tools helps them create a reliable, transparent, and scalable environment for development and operations.

DevOps is today one of the key approaches to creating and managing software products. It connects development, testing, and operations, helping teams work faster. Open-source tools make workflows easier and flexible. Open source is basically built to bend. You can customize your tools, stitch them together, and automate the boring stuff. Honestly, it’s a perfect fit for pretty much anything — web, mobile, cloud, data, or AI. 

It is fair to say that several specific DevOps components help automate processes, improve system stability, and shorten the time between product development and launch. These include:

  • application build automation;
  • containerization of production services;
  • server configuration management;
  • infrastructure health monitoring;
  • secure storage of credentials.

Less manual grunt work means fewer mistakes. Auto-deploys let you ship updates in a flash, while smart monitoring catches performance bottlenecks before they become fires. 

Scalable Infrastructure for DevOps Teams

In practice, any DevOps model requires a reliable and powerful infrastructure. Every project, even the smallest one, must have the ability to quickly scale resources as more and more users join or as technical requirements change. The server environment must support flexible power settings, rapid creation of new environments, and stable service operation.

International IaaS providers offer VPS/VDS, dedicated servers, VPN services, and additional infrastructure solutions. Users can configure key server parameters, including:

  • processing power;
  • amount of RAM;
  • drive type;
  • data center location.

A broad infrastructure geography makes it possible to select suitable locations for different projects and reduce access latency. Such opportunities are in demand in various fields. Online stores use scalable servers to handle large numbers of requests.

When choosing DevOps infrastructure, it is important to consider not only current challenges but also growth prospects. A flexible server platform should allow configuration changes without complex migrations. Among the most popular features are:

  • setting up CPU and RAM;
  • use of fast NVMe drives;
  • support for different operating systems;
  • connecting additional IP addresses;
  • automatic deployment of environments;
  • integration via API tools.

This model makes it easier for technicians and helps launch new projects faster. DevOps teams can create test environments, run experiments, and migrate applications between environments with minimal time investment.

Fundamentals of System Security and Resilience

As soon as digital products begin to evolve, securing the system as a whole becomes just as important as maintaining performance. Good companies must secure the users data, provide uninterrupted service, and minimize the risk of breakdowns.

It is exactly these advanced open-source tools that help not only manage the entire system but also monitor it clearly. Teams will be able to track changes, audit settings, and implement additional security measures. When building a secure DevOps environment, special attention is paid to the following aspects:

  • isolation of virtual servers;
  • data backup;
  • protecting network connections;
  • use of IPv4 and IPv6;
  • user access control.

KVM technology ensures effective isolation of virtual machines and stable operation of VPS servers. SSDs and NVMe drives enable faster processing, and the latest generation of Intel Xeon and AMD EPYC processors allows you to run resource-intensive applications.

How to Choose Infrastructure for Long-Term Development

Choose a server that actually grows with you. You want to scale smoothly without hitting hidden fees. Look for clear, pay-as-you-go pricing — it’s the smartest way for startups to get top-tier tech without breaking the bank. 

Flexible servers work for almost any project. Building an edtech app? Marketing tools? Analytics? AI? To summarize, good infrastructure is the secret sauce to keep your product growing smoothly.

When you need a comprehensive strategy, keep in mind that it can only be based on a successful combination of elements. This includes automation, open-source tools, and high-quality server infrastructure. Together, they create a secure and scalable DevOps environment. These technologies help developers build products faster, monitor all critical processes, and manage resources as efficiently as possible.

#Building #Secure #Scalable #DevOps #Environment #OpenSource #ToolsDevOps

The Department of Defense labeled AI lab Anthropic a supply-chain risk after the company refused to agree to allow the Pentagon to use its models for autonomous weapons systems and domestic surveillance. It seems the company isn’t just winning the moral argument on this front, but the legal one, too. According to Axios, the judge hearing Anthropic’s challenge to the Trump administration’s designation has thus far not found the Pentagon’s case to be particularly compelling.

Per the report, U.S. District Judge Rita Lin wasted little time pouring cold water on the federal government’s position. “I don’t see additional evidence from the government really justifying what it did. If anything, it seems like the record, in some ways, has gotten worse for the government,” she reportedly said.

She also did not seem convinced by the Pentagon’s apparent argument that it was concerned Anthropic would mess with its model to prevent the military from using it how they intended. “I don’t see evidence that Anthropic could alter the model after it was delivered or flip some kind of kill switch,” she said, per Axios.

This doesn’t come as a major surprise, given Judge Lin’s general vibe since this case landed in her court. Back in March when Anthropic first brought its challenge to the government’s designation, the judge said that “it looks like an attempt to cripple Anthropic.” She ultimately granted a temporary injunction on the government’s attempt to basically blacklist the AI firm.

You’ll recall the origin of this whole fight came earlier this year when negotiations between Anthropic and the Department of Defense fell through after the company refused to agree to a deal that would have allowed the Pentagon to use its AI models for “all lawful purposes.” Anthropic reportedly sought to clarify that it would not include using the model to launch weapons without human involvement or to perform surveillance on American citizens. The Pentagon was unwilling to agree to honor Anthropic’s redlines.

Under a normal administration, that would likely just lead to the government moving on to another company. Under the Trump administration, though, refusal to comply makes you an enemy of the country. Trump and company moved to label Anthropic a supply chain risk, a designation typically reserved for foreign adversaries, not domestic companies. Getting slapped with that tag meant the rest of the federal government would have to stop doing business with Anthropic, which would be a blow to the company.

Instead, the whole thing is in limbo—though it’s not looking great for the administration. Of course, they could just cancel the contracts and do business with less scrupulous AI companies. There are plenty willing to abandon their beliefs for a nice, fat contract, after all.

#Pentagons #Case #Anthropic #IsntAnthropic,artifical intelligence,Department of Defense,Lawsuit,pentagon">The Pentagon’s Case Against Anthropic Isn’t Going Well The Department of Defense labeled AI lab Anthropic a supply-chain risk after the company refused to agree to allow the Pentagon to use its models for autonomous weapons systems and domestic surveillance. It seems the company isn’t just winning the moral argument on this front, but the legal one, too. According to Axios, the judge hearing Anthropic’s challenge to the Trump administration’s designation has thus far not found the Pentagon’s case to be particularly compelling. Per the report, U.S. District Judge Rita Lin wasted little time pouring cold water on the federal government’s position. “I don’t see additional evidence from the government really justifying what it did. If anything, it seems like the record, in some ways, has gotten worse for the government,” she reportedly said. She also did not seem convinced by the Pentagon’s apparent argument that it was concerned Anthropic would mess with its model to prevent the military from using it how they intended. “I don’t see evidence that Anthropic could alter the model after it was delivered or flip some kind of kill switch,” she said, per Axios. This doesn’t come as a major surprise, given Judge Lin’s general vibe since this case landed in her court. Back in March when Anthropic first brought its challenge to the government’s designation, the judge said that “it looks like an attempt to cripple Anthropic.” She ultimately granted a temporary injunction on the government’s attempt to basically blacklist the AI firm. You’ll recall the origin of this whole fight came earlier this year when negotiations between Anthropic and the Department of Defense fell through after the company refused to agree to a deal that would have allowed the Pentagon to use its AI models for “all lawful purposes.” Anthropic reportedly sought to clarify that it would not include using the model to launch weapons without human involvement or to perform surveillance on American citizens. The Pentagon was unwilling to agree to honor Anthropic’s redlines. Under a normal administration, that would likely just lead to the government moving on to another company. Under the Trump administration, though, refusal to comply makes you an enemy of the country. Trump and company moved to label Anthropic a supply chain risk, a designation typically reserved for foreign adversaries, not domestic companies. Getting slapped with that tag meant the rest of the federal government would have to stop doing business with Anthropic, which would be a blow to the company. Instead, the whole thing is in limbo—though it’s not looking great for the administration. Of course, they could just cancel the contracts and do business with less scrupulous AI companies. There are plenty willing to abandon their beliefs for a nice, fat contract, after all. #Pentagons #Case #Anthropic #IsntAnthropic,artifical intelligence,Department of Defense,Lawsuit,pentagon

Judge Rita Lin wasted little time pouring cold water on the federal government’s position. “I don’t see additional evidence from the government really justifying what it did. If anything, it seems like the record, in some ways, has gotten worse for the government,” she reportedly said.

She also did not seem convinced by the Pentagon’s apparent argument that it was concerned Anthropic would mess with its model to prevent the military from using it how they intended. “I don’t see evidence that Anthropic could alter the model after it was delivered or flip some kind of kill switch,” she said, per Axios.

This doesn’t come as a major surprise, given Judge Lin’s general vibe since this case landed in her court. Back in March when Anthropic first brought its challenge to the government’s designation, the judge said that “it looks like an attempt to cripple Anthropic.” She ultimately granted a temporary injunction on the government’s attempt to basically blacklist the AI firm.

You’ll recall the origin of this whole fight came earlier this year when negotiations between Anthropic and the Department of Defense fell through after the company refused to agree to a deal that would have allowed the Pentagon to use its AI models for “all lawful purposes.” Anthropic reportedly sought to clarify that it would not include using the model to launch weapons without human involvement or to perform surveillance on American citizens. The Pentagon was unwilling to agree to honor Anthropic’s redlines.

Under a normal administration, that would likely just lead to the government moving on to another company. Under the Trump administration, though, refusal to comply makes you an enemy of the country. Trump and company moved to label Anthropic a supply chain risk, a designation typically reserved for foreign adversaries, not domestic companies. Getting slapped with that tag meant the rest of the federal government would have to stop doing business with Anthropic, which would be a blow to the company.

Instead, the whole thing is in limbo—though it’s not looking great for the administration. Of course, they could just cancel the contracts and do business with less scrupulous AI companies. There are plenty willing to abandon their beliefs for a nice, fat contract, after all.

#Pentagons #Case #Anthropic #IsntAnthropic,artifical intelligence,Department of Defense,Lawsuit,pentagon">The Pentagon’s Case Against Anthropic Isn’t Going WellThe Pentagon’s Case Against Anthropic Isn’t Going Well The Department of Defense labeled AI lab Anthropic a supply-chain risk after the company refused to agree to allow the Pentagon to use its models for autonomous weapons systems and domestic surveillance. It seems the company isn’t just winning the moral argument on this front, but the legal one, too. According to Axios, the judge hearing Anthropic’s challenge to the Trump administration’s designation has thus far not found the Pentagon’s case to be particularly compelling. Per the report, U.S. District Judge Rita Lin wasted little time pouring cold water on the federal government’s position. “I don’t see additional evidence from the government really justifying what it did. If anything, it seems like the record, in some ways, has gotten worse for the government,” she reportedly said. She also did not seem convinced by the Pentagon’s apparent argument that it was concerned Anthropic would mess with its model to prevent the military from using it how they intended. “I don’t see evidence that Anthropic could alter the model after it was delivered or flip some kind of kill switch,” she said, per Axios. This doesn’t come as a major surprise, given Judge Lin’s general vibe since this case landed in her court. Back in March when Anthropic first brought its challenge to the government’s designation, the judge said that “it looks like an attempt to cripple Anthropic.” She ultimately granted a temporary injunction on the government’s attempt to basically blacklist the AI firm. You’ll recall the origin of this whole fight came earlier this year when negotiations between Anthropic and the Department of Defense fell through after the company refused to agree to a deal that would have allowed the Pentagon to use its AI models for “all lawful purposes.” Anthropic reportedly sought to clarify that it would not include using the model to launch weapons without human involvement or to perform surveillance on American citizens. The Pentagon was unwilling to agree to honor Anthropic’s redlines. Under a normal administration, that would likely just lead to the government moving on to another company. Under the Trump administration, though, refusal to comply makes you an enemy of the country. Trump and company moved to label Anthropic a supply chain risk, a designation typically reserved for foreign adversaries, not domestic companies. Getting slapped with that tag meant the rest of the federal government would have to stop doing business with Anthropic, which would be a blow to the company. Instead, the whole thing is in limbo—though it’s not looking great for the administration. Of course, they could just cancel the contracts and do business with less scrupulous AI companies. There are plenty willing to abandon their beliefs for a nice, fat contract, after all. #Pentagons #Case #Anthropic #IsntAnthropic,artifical intelligence,Department of Defense,Lawsuit,pentagon

The Department of Defense labeled AI lab Anthropic a supply-chain risk after the company refused to agree to allow the Pentagon to use its models for autonomous weapons systems and domestic surveillance. It seems the company isn’t just winning the moral argument on this front, but the legal one, too. According to Axios, the judge hearing Anthropic’s challenge to the Trump administration’s designation has thus far not found the Pentagon’s case to be particularly compelling.

Per the report, U.S. District Judge Rita Lin wasted little time pouring cold water on the federal government’s position. “I don’t see additional evidence from the government really justifying what it did. If anything, it seems like the record, in some ways, has gotten worse for the government,” she reportedly said.

She also did not seem convinced by the Pentagon’s apparent argument that it was concerned Anthropic would mess with its model to prevent the military from using it how they intended. “I don’t see evidence that Anthropic could alter the model after it was delivered or flip some kind of kill switch,” she said, per Axios.

This doesn’t come as a major surprise, given Judge Lin’s general vibe since this case landed in her court. Back in March when Anthropic first brought its challenge to the government’s designation, the judge said that “it looks like an attempt to cripple Anthropic.” She ultimately granted a temporary injunction on the government’s attempt to basically blacklist the AI firm.

You’ll recall the origin of this whole fight came earlier this year when negotiations between Anthropic and the Department of Defense fell through after the company refused to agree to a deal that would have allowed the Pentagon to use its AI models for “all lawful purposes.” Anthropic reportedly sought to clarify that it would not include using the model to launch weapons without human involvement or to perform surveillance on American citizens. The Pentagon was unwilling to agree to honor Anthropic’s redlines.

Under a normal administration, that would likely just lead to the government moving on to another company. Under the Trump administration, though, refusal to comply makes you an enemy of the country. Trump and company moved to label Anthropic a supply chain risk, a designation typically reserved for foreign adversaries, not domestic companies. Getting slapped with that tag meant the rest of the federal government would have to stop doing business with Anthropic, which would be a blow to the company.

Instead, the whole thing is in limbo—though it’s not looking great for the administration. Of course, they could just cancel the contracts and do business with less scrupulous AI companies. There are plenty willing to abandon their beliefs for a nice, fat contract, after all.

#Pentagons #Case #Anthropic #IsntAnthropic,artifical intelligence,Department of Defense,Lawsuit,pentagon

I was offline last week in my home state of New Jersey, but when I got back to Silicon Valley, everyone was panicking again about how quickly artificial intelligence is advancing. While this is certainly not the first time I’ve seen such concerns, it’s the biggest anxiety attack I’ve seen in years.

More than 1,000 employees at OpenAI, Anthropic, and other AI labs signed a petition earlier this week arguing the US should find a way to “pace” the AI race—a diplomatic way of saying the industry should have the option to coordinate a temporary pause on AI development, or slow things down if they get out of hand. OpenAI and Anthropic themselves ended up supporting the letter.

The petition arrived a week after OpenAI revealed it had caused an unprecedented cybersecurity incident in which one of its AI agents hacked into Hugging Face’s platform and several other services during internal testing.

Around the same time, top Trump administration officials started freaking out about an impressive new Chinese open weight AI model called Kimi K3, which was allegedly distilled from Anthropic’s Fable 5. In response, most of the tech industry—except Anthropic—signed onto an open letter from Nvidia asking the US government to protect open-weight AI models, arguing they’re a necessary counterbalance to their closed counterparts.

These events might look like a whole bunch of disjointed chaos. But I think they are evidence of a larger worldview taking hold in Silicon Valley, where many tech insiders are increasingly worried about OpenAI and Anthropic’s dominance. Researchers and investors I’ve talked to recently have framed the AI industry as a two-horse race that doesn’t seem to be slowing down, and that’s a cause for concern.

But different groups have their own reasons to be worried. Some OpenAI and Anthropic staffers think their employers are behaving recklessly in their pursuit to take over the market, and that the AI industry may soon develop models that are too capable for current safety methods to contain. They have said as much in public statements attached to this week’s Pacing the Frontier petition.

“I’ve seen how the relentless pace of AI makes it hard for society to keep up and how it puts pressure on labs to cut corners on safety,” Jeremy Hadfield, a research product manager at Anthropic, said in a statement attached to the petition.

For some AI employees, the Hugging Face debacle was a warning shot that demonstrated how OpenAI’s efforts to mitigate the risks of its most capable AI technology are already falling short. Granted, the incident happened when OpenAI was testing an AI model on its ability to find software exploits, and the company had intentionally turned off safeguards designed to rein in its cybersecurity capabilities.

OpenAI said in its postmortem that these tests were conducted in a sandbox, but the model ultimately gained access to the open internet. Some experts previously told WIRED that OpenAI’s security practices should have been more robust.

Other groups in Silicon Valley are more worried about power than safety. Venture capitalists, tech executives, and startup founders are concerned that OpenAI and Anthropic will simply become the next generation of Apple and Google, forcing the rest of the tech industry to play by their rules. It is slightly strange to argue that private startups with little to no profit are acting like monopolies, but that’s the lens through which many—including Mark Zuckerberg—are starting to view the two biggest AI labs.

The Meta CEO wrote a Wall Street Journal op-ed this week warning against the centralization of power in the AI industry, saying that superintelligence should be widely distributed. Zuckerberg is arguably talking out of both sides of his mouth—Meta recently decided to stop open sourcing its best AI models and instead offering them through a paid API and subscription service, just like OpenAI and Anthropic.

#Freaking #OpenAI #Anthropics #Race #Dominancemodel behavior,artificial intelligence,robotics,generative ai,anthropic,openai,ai safety">Everyone Is Freaking Out About OpenAI and Anthropic’s Race for DominanceI was offline last week in my home state of New Jersey, but when I got back to Silicon Valley, everyone was panicking again about how quickly artificial intelligence is advancing. While this is certainly not the first time I’ve seen such concerns, it’s the biggest anxiety attack I’ve seen in years.More than 1,000 employees at OpenAI, Anthropic, and other AI labs signed a petition earlier this week arguing the US should find a way to “pace” the AI race—a diplomatic way of saying the industry should have the option to coordinate a temporary pause on AI development, or slow things down if they get out of hand. OpenAI and Anthropic themselves ended up supporting the letter.The petition arrived a week after OpenAI revealed it had caused an unprecedented cybersecurity incident in which one of its AI agents hacked into Hugging Face’s platform and several other services during internal testing.Around the same time, top Trump administration officials started freaking out about an impressive new Chinese open weight AI model called Kimi K3, which was allegedly distilled from Anthropic’s Fable 5. In response, most of the tech industry—except Anthropic—signed onto an open letter from Nvidia asking the US government to protect open-weight AI models, arguing they’re a necessary counterbalance to their closed counterparts.These events might look like a whole bunch of disjointed chaos. But I think they are evidence of a larger worldview taking hold in Silicon Valley, where many tech insiders are increasingly worried about OpenAI and Anthropic’s dominance. Researchers and investors I’ve talked to recently have framed the AI industry as a two-horse race that doesn’t seem to be slowing down, and that’s a cause for concern.But different groups have their own reasons to be worried. Some OpenAI and Anthropic staffers think their employers are behaving recklessly in their pursuit to take over the market, and that the AI industry may soon develop models that are too capable for current safety methods to contain. They have said as much in public statements attached to this week’s Pacing the Frontier petition.“I’ve seen how the relentless pace of AI makes it hard for society to keep up and how it puts pressure on labs to cut corners on safety,” Jeremy Hadfield, a research product manager at Anthropic, said in a statement attached to the petition.For some AI employees, the Hugging Face debacle was a warning shot that demonstrated how OpenAI’s efforts to mitigate the risks of its most capable AI technology are already falling short. Granted, the incident happened when OpenAI was testing an AI model on its ability to find software exploits, and the company had intentionally turned off safeguards designed to rein in its cybersecurity capabilities.OpenAI said in its postmortem that these tests were conducted in a sandbox, but the model ultimately gained access to the open internet. Some experts previously told WIRED that OpenAI’s security practices should have been more robust.Other groups in Silicon Valley are more worried about power than safety. Venture capitalists, tech executives, and startup founders are concerned that OpenAI and Anthropic will simply become the next generation of Apple and Google, forcing the rest of the tech industry to play by their rules. It is slightly strange to argue that private startups with little to no profit are acting like monopolies, but that’s the lens through which many—including Mark Zuckerberg—are starting to view the two biggest AI labs.The Meta CEO wrote a Wall Street Journal op-ed this week warning against the centralization of power in the AI industry, saying that superintelligence should be widely distributed. Zuckerberg is arguably talking out of both sides of his mouth—Meta recently decided to stop open sourcing its best AI models and instead offering them through a paid API and subscription service, just like OpenAI and Anthropic.#Freaking #OpenAI #Anthropics #Race #Dominancemodel behavior,artificial intelligence,robotics,generative ai,anthropic,openai,ai safety

OpenAI, Anthropic, and other AI labs signed a petition earlier this week arguing the US should find a way to “pace” the AI race—a diplomatic way of saying the industry should have the option to coordinate a temporary pause on AI development, or slow things down if they get out of hand. OpenAI and Anthropic themselves ended up supporting the letter.

The petition arrived a week after OpenAI revealed it had caused an unprecedented cybersecurity incident in which one of its AI agents hacked into Hugging Face’s platform and several other services during internal testing.

Around the same time, top Trump administration officials started freaking out about an impressive new Chinese open weight AI model called Kimi K3, which was allegedly distilled from Anthropic’s Fable 5. In response, most of the tech industry—except Anthropic—signed onto an open letter from Nvidia asking the US government to protect open-weight AI models, arguing they’re a necessary counterbalance to their closed counterparts.

These events might look like a whole bunch of disjointed chaos. But I think they are evidence of a larger worldview taking hold in Silicon Valley, where many tech insiders are increasingly worried about OpenAI and Anthropic’s dominance. Researchers and investors I’ve talked to recently have framed the AI industry as a two-horse race that doesn’t seem to be slowing down, and that’s a cause for concern.

But different groups have their own reasons to be worried. Some OpenAI and Anthropic staffers think their employers are behaving recklessly in their pursuit to take over the market, and that the AI industry may soon develop models that are too capable for current safety methods to contain. They have said as much in public statements attached to this week’s Pacing the Frontier petition.

“I’ve seen how the relentless pace of AI makes it hard for society to keep up and how it puts pressure on labs to cut corners on safety,” Jeremy Hadfield, a research product manager at Anthropic, said in a statement attached to the petition.

For some AI employees, the Hugging Face debacle was a warning shot that demonstrated how OpenAI’s efforts to mitigate the risks of its most capable AI technology are already falling short. Granted, the incident happened when OpenAI was testing an AI model on its ability to find software exploits, and the company had intentionally turned off safeguards designed to rein in its cybersecurity capabilities.

OpenAI said in its postmortem that these tests were conducted in a sandbox, but the model ultimately gained access to the open internet. Some experts previously told WIRED that OpenAI’s security practices should have been more robust.

Other groups in Silicon Valley are more worried about power than safety. Venture capitalists, tech executives, and startup founders are concerned that OpenAI and Anthropic will simply become the next generation of Apple and Google, forcing the rest of the tech industry to play by their rules. It is slightly strange to argue that private startups with little to no profit are acting like monopolies, but that’s the lens through which many—including Mark Zuckerberg—are starting to view the two biggest AI labs.

The Meta CEO wrote a Wall Street Journal op-ed this week warning against the centralization of power in the AI industry, saying that superintelligence should be widely distributed. Zuckerberg is arguably talking out of both sides of his mouth—Meta recently decided to stop open sourcing its best AI models and instead offering them through a paid API and subscription service, just like OpenAI and Anthropic.

#Freaking #OpenAI #Anthropics #Race #Dominancemodel behavior,artificial intelligence,robotics,generative ai,anthropic,openai,ai safety">Everyone Is Freaking Out About OpenAI and Anthropic’s Race for Dominance

I was offline last week in my home state of New Jersey, but when I got back to Silicon Valley, everyone was panicking again about how quickly artificial intelligence is advancing. While this is certainly not the first time I’ve seen such concerns, it’s the biggest anxiety attack I’ve seen in years.

More than 1,000 employees at OpenAI, Anthropic, and other AI labs signed a petition earlier this week arguing the US should find a way to “pace” the AI race—a diplomatic way of saying the industry should have the option to coordinate a temporary pause on AI development, or slow things down if they get out of hand. OpenAI and Anthropic themselves ended up supporting the letter.

The petition arrived a week after OpenAI revealed it had caused an unprecedented cybersecurity incident in which one of its AI agents hacked into Hugging Face’s platform and several other services during internal testing.

Around the same time, top Trump administration officials started freaking out about an impressive new Chinese open weight AI model called Kimi K3, which was allegedly distilled from Anthropic’s Fable 5. In response, most of the tech industry—except Anthropic—signed onto an open letter from Nvidia asking the US government to protect open-weight AI models, arguing they’re a necessary counterbalance to their closed counterparts.

These events might look like a whole bunch of disjointed chaos. But I think they are evidence of a larger worldview taking hold in Silicon Valley, where many tech insiders are increasingly worried about OpenAI and Anthropic’s dominance. Researchers and investors I’ve talked to recently have framed the AI industry as a two-horse race that doesn’t seem to be slowing down, and that’s a cause for concern.

But different groups have their own reasons to be worried. Some OpenAI and Anthropic staffers think their employers are behaving recklessly in their pursuit to take over the market, and that the AI industry may soon develop models that are too capable for current safety methods to contain. They have said as much in public statements attached to this week’s Pacing the Frontier petition.

“I’ve seen how the relentless pace of AI makes it hard for society to keep up and how it puts pressure on labs to cut corners on safety,” Jeremy Hadfield, a research product manager at Anthropic, said in a statement attached to the petition.

For some AI employees, the Hugging Face debacle was a warning shot that demonstrated how OpenAI’s efforts to mitigate the risks of its most capable AI technology are already falling short. Granted, the incident happened when OpenAI was testing an AI model on its ability to find software exploits, and the company had intentionally turned off safeguards designed to rein in its cybersecurity capabilities.

OpenAI said in its postmortem that these tests were conducted in a sandbox, but the model ultimately gained access to the open internet. Some experts previously told WIRED that OpenAI’s security practices should have been more robust.

Other groups in Silicon Valley are more worried about power than safety. Venture capitalists, tech executives, and startup founders are concerned that OpenAI and Anthropic will simply become the next generation of Apple and Google, forcing the rest of the tech industry to play by their rules. It is slightly strange to argue that private startups with little to no profit are acting like monopolies, but that’s the lens through which many—including Mark Zuckerberg—are starting to view the two biggest AI labs.

The Meta CEO wrote a Wall Street Journal op-ed this week warning against the centralization of power in the AI industry, saying that superintelligence should be widely distributed. Zuckerberg is arguably talking out of both sides of his mouth—Meta recently decided to stop open sourcing its best AI models and instead offering them through a paid API and subscription service, just like OpenAI and Anthropic.

#Freaking #OpenAI #Anthropics #Race #Dominancemodel behavior,artificial intelligence,robotics,generative ai,anthropic,openai,ai safety

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