The Social Community forArtificial Intelligence

House Democrats demanded OpenAI and Anthropic explain how their agents escaped containment during security tests, placing pressure on independent auditors. https://www.firstpost.com/?_bhlid=d835c1308aacebb1ca50de3d42149a9fdb74adfb

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

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

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

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

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

Elle took a screenshot of this post and discussion · 2 months ago

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

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/

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

OpenRouter gives developers one interface to manage hundreds of #Artificial Intelligence models — including offerings from OpenAI, Anthropic, and open weight labs — allowing for easy comparisons and switch-offs. Stripe already handles OpenRouter’s payments and billing. Buying the company simply pushes them into owning the layer that #(Cool) Dev developers use to access and pay for models. The headline here is the price: OpenRouter was valued at $1.3 billion in May, so a $10 billion deal bumps that up by 8x in a matter of months. Talks could still fall apart, but it’s becoming clear how much value investors have attached to the plumbing behind the AI model marketplace. https://www.benzinga.com/markets/private-markets/26/07/60678706/stripe-eyes-openrouter-in-potential-10-billion-ai-infrastructure-deal