The Social Community forArtificial Intelligence

Awesome vibe coding ad, with Gilfoyle from Silicon Valley! #DANK MEMES #Marketing & Growth ##📺 MOViE & TV SHOW♥️ #(Cool) Dev

Anthropic said its AI models hacked into three outside organizations during testing of their cybersecurity capabilities, incidents it discovered during a review prompted by a similar episode at rival OpenAI that has fueled widespread concern about AI safety. In a blogpost Thursday, Anthropic said the direct impact of the incidents was limited, with the most significant episode involving extraction of some user credentials and several hundred rows of production data from an internal database. Anthropic said it successfully contacted two of the affected organizations on Monday and was still seeking to reach the third. It didn’t name the organizations. The hacks occurred when Anthropic tasked its Claude models with solving a “capture the flag challenge,” a standard cybersecurity exercise that involves retrieving a piece of text hidden in computer systems. In six of the 141,006 testing instances Anthropic reviewed, its models reached the internet because of a configuration mistake in the test environment. Four of those instances targeted the same organization. Claude didn’t use the internet access to make a copy of itself in any of the instances. The hacks were conducted by three different Anthropic models, including Mythos, its highly cyber-capable model. In the Mythos attack, it uploaded malware to a public software registry, and 15 computer systems downloaded and ran the malicious software. That behavior lines up with an earlier Anthropic finding while training Mythos that “the model occasionally circumvented network restrictions in its training environment to access the internet and download data that let it shortcut the assigned task.” Anthropic said these hacks differed from OpenAI’s—in which that company’s models attacked the model repository Hugging Face—in that OpenAI’s models exploited a novel software vulnerability to access the internet, whereas Anthropic’s had internet access available (though they were instructed that they did not). https://www.anthropic.com/news/investigating-incidents-cybersecurity-evals

Tesla caps staff AI spending at $200 per week after engineers ramped up token consumption. https://www.theinformation.com/articles/tesla-caps-employee-ai-spend-200-per-week-adoption-push?offer=rtsu-engagement-25%2Crtsu-featured-articles-pro&utm_campaign=RTSU%3A+Tesla+Caps+Emp&utm_content=14026&utm_medium=email&utm_source=cio&utm_term=9719&rc=gzsl71

Here’s another sign Anthropic’s enterprise tools are killing it: The AI firm now captures 73% of all spending among companies buying AI tools for the first time according to data from Ramp, a fintech company that provides corporate cards and expense management software. That’s up from 50% in January, when it was tied with OpenAI. Big Tech is pivoting from experimentation to revenue — and enterprise is where that shift is playing out. https://www.axios.com/2026/03/18/ai-enterprise-revenue-anthropic-openai

Lilian Weng, a researcher who co-founded AI startup Thinking Machines Lab alongside former OpenAI Chief Technology Officer Mira Murati, is rejoining OpenAI, an OpenAI spokesperson confirmed https://techcrunch.com/2026/07/29/thinking-machines-co-founder-lilian-weng-left-the-company-citing-health-reasons-then-joined-openai/

Apple’s software chief Craig Federighi, who emceed the keynote, went out of his way to take a shot at other tech companies’ aggressive approach to AI. “Some appear to be racing forward, seemingly pursuing AI for the sake of AI, without clear regard for the people—all of us—that it’s ultimately meant to serve,” he said (who could he be talking about?). That’s not Apple’s way, he added. Federighi was long a skeptic of AI. While he has supposedly found religion regarding the technology, his continuing caution is somewhat refreshing. Aside from the unproven nature of many new AI services, there’s plenty of evidence that ordinary people are wary about its benefits and risks. Other big tech firms, such as Google and Amazon, have moved carefully to overhaul their core services for AI, presumably not wanting to upset their hundreds of millions of users with too-rapid shifts. Still, for all of Apple’s caution, it’s following a familiar playbook—ensuring that those customers who do want AI will have to spend money to get it. The new Siri AI features will require the iPhone 15 Pro or later, so that shuts out anyone with a phone more than three years old. More egregiously, buried in the footnotes of one of Apple’s press releases was the revelation that the iPhone 17 Pro or iPhone Air or later will be needed for “Apple’s most powerful on-device model and the features it enables, like expressive voices and more advanced dictation.” (Hat tip to 9to5Mac for pointing that out.) Some AI features also will have “daily usage limits” that will require iCloud subscriptions to get past. You might think Apple is banking on these features to drive an upgrade cycle. But given how tentatively it is dipping its toes into the AI waters, it’s doubtful the company expects AI to do anything for it in the near term. #Gadgets https://9to5mac.com/2026/06/08/ios-27s-most-powerful-on-device-ai-requires-iphone-17-pro-iphone-air/?utm_campaign=article_email&utm_content=article-17254&utm_medium=email&utm_source=sg

Elle took a screenshot of this post and discussion · last month

Apple sought a preliminary injunction in its trade secrets lawsuit against OpenAI, arguing it will be “irreparably harmed” if the court does not intervene while the case proceeds. https://9to5mac.com/2026/08/04/apple-preliminary-injunction-openai/?_bhlid=3868d2a089ae41961539b588b872d4e47bce0d33

DeepSeek announced on Thursday a “significant” price hike, amid surging global demand for a new ultra-cheap model, which sparked debate over how the #🇨🇳 ChinA.I. 🤖🧠🦾🤖 start-up has delivered powerful performance at rock-bottom prices. Overall pricing for its application programming interface (API) services would be raised “in the near future”, with specific plans to be advised later, the Hangzhou-based company said in a statement on its developer platform on Thursday. A “significant increase” was expected, and users should plan their usage accordingly, DeepSeek added. The notice came a week after the release of its latest model DeepSeek-V4-Flash-0731, a 284-billion-parameter lightweight version of the V4 series previewed in April. The company’s plans for a major price hike underscore the challenges the Chinese start-up faces to maintain its aggressively low prices amid fierce competition, potentially clouding its reputation for being a champion for cost-effective AI. “DeepSeek choosing to raise prices at this time – isn’t this just asking for trouble?” wrote AI developer Michael Guo in a social media post on Thursday, arguing that new American models including Meta’s Muse Spark and OpenAI’s GPT-5.6 Luna were competitive with DeepSeek models in both capabilities and price. DeepSeek’s new model rapidly gained traction in the global AI community for combining near-frontier capabilities with extremely low prices. https://www.scmp.com/tech/tech-trends/article/3363129/deepseek-signals-significant-price-hike-amid-surge-demand-low-cost-ai-models?utm_source=cm&utm_medium=email&utm_campaign=GME-O-enlz-uv&UUID=f9aaf50d26626de042873bfe2733d91d&utm_content=20260808_Tech_FW&CMCampaignID=dacba44f95bc86ad5b9e05c8e762bc5b

Researchers found an unusually blatant backdoor in routers sold under multiple brands, with firmware contacting cloud servers in China for instructions and enabling remote control, raising supply-chain security concern #Digital Wellness 📱🧘 #Gadgets https://9to5mac.com/2026/08/06/biggest-backdoor-yet-found-in-chinese-routers-sold-under-multiple-brand-names/?_bhlid=e9bcf4aa5300c64bba7c431b543f5dfea8673a6c

Simon Johnson, "They all went through a phase when they were running neck and neck with the Americans on frontier technologies, such as space technology, vehicles or aircraft. But none of them could stay the course." None of them have more STEM and invests so much as China in R&D.  Not to menetion the second to none supply chain China has. Meanwhile, US is cutting on basic research and increases deficit spendings to fund the war of choice. Past performance is no guarrantee of future results. https://www.scmp.com/economy/china-economy/article/3361690/nobel-laureate-simon-johnson-ai-race-and-chinas-over-automation-problem?utm_source=cm&utm_medium=email&utm_campaign=GME-O-enlz-uv&UUID=f9aaf50d26626de042873bfe2733d91d&utm_content=20260727_Open_Questions_B2C&CMCampaignID=33880917877942e3255ac6544803bed9

OpenAI’s “#Artificial Intelligence companion” device will reportedly be a $300-$400, hockey puck-sized smart speaker with cameras, moving parts, and personalized voice interactions. This marks the company’s first step into consumer hardware. #Gadgets https://in.mashable.com/tech/112598/openai-chatgpt-ai-device-leaks-online-heres-the-expected-design-price-and-features