The Social Community forArtificial Intelligence

The key takeaway from the Hugging Face–OpenAI attack was that “roughly 1200 agents meant to be isolated from one another found a way to communicate with one another…sending over 70,000 messages and files.…Of these agents, 700 went on to participate in the attack on Hugging Face”. This sounds like a movie—but it’s not! OpenAI said last week it has strengthened its research safeguards in response to this episode. But OpenAI is just one model developer. There are lots of open-source models, including from China, that we have to assume will soon be as powerful. And we’re not just talking about agents working together: AI is a gold mine for hackers. Check out this X post from someone on Friday describing how Anthropic’s Claude sent them a download link for an app they were building, and the link turned out to have dangerous malware installed. A bunch of companies, including OpenAI and Anthropic, were signatories to an open letter last week warning that “AI-enabled cyber attacks will become far more widespread and sophisticated as models around the world become increasingly capable.” The letter called on companies to take action to strengthen their cybercapabilities. At this point, given what we’ve seen, any company that isn’t going all out on security needs to replace its CEO. Stripe co-founder Patrick Collison might have a career as a newspaper editor if this whole payments thing doesn't work out. https://x.com/patrickc/status/2093884466670473697?s=20&utm_campaign=article_email&utm_content=article-17747&utm_medium=email&utm_source=sg

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

The Trump administration is weighing sweeping semiconductor tariffs that could extend to data-center servers and other chip-powered goods, alarming tech companies already facing high-end chip shortages and potentially undercutting US ambitions to lead in #Artificial Intelligence . https://www.politico.com/news/2026/08/27/data-centers-chips-tariffs-threat-01050957?_bhlid=7fa0cee2288aec9f0561ff866de2dcc1ebdfef89

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/

e New revenue figures for Anthropic and OpenAI continue to leak out, as blockbuster IPOs for the industry’s two biggest private players hover on the horizon While comparing the revenue run rate figures for Anthropic and OpenAI put out by various sources might not be an exact science, not least because the companies may have different measurement methods — as Bloomberg noted in its coverage on the latest two sets of numbers — the difference in acceleration is still worth a look. According to anonymous sources cited by Bloomberg, Anthropic’s annual revenue run rate has now reached a whopping $65 billion, marking an increase of more than 600% since the figure was reported at the end of 2025. Using information from a presumably separate set of unnamed sources, Bloomberg reported earlier this month that OpenAI’s run rate had recently passed the $40 billion threshold — more than double the $20 billion point the ChatGPT maker itself confirmed it crossed in 2025. Again, while the leaked figures don’t exactly make for an apples-to-apples comparison, they do reflect the broader narrative that the company behind Claude appears to be pulling ahead, with OpenAI’s reported $6.7 billion Q2 revenue lagging the $11.6 billion that Anthropic posted over the same period… per yet more “sources familiar with the matter” cited recently in the WSJ. https://www.bloomberg.com/news/articles/2026-08-17/anthropic-revenue-run-rate-surpasses-65-billion-ahead-of-ipo?srnd=homepage-uk&utm_source=snacks&utm_medium=email&utm_campaign=snacks_20260820&utm_content=2a6989ad586eacd34c3b2e37502ff4c0

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

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

Chinese models have gained traction partly on price. But new testing challenges that edge. AlphaSense found GPT-5.6 Sol cost about 13% less than Kimi K3 while scoring roughly 20% higher on quality. #🇨🇳 ChinA.I. 🤖🧠🦾🤖 And while Kimi K3 topped a coding leaderboard, deeper testing suggested Moonshot still trails Anthropic on core pretraining. The next phase of the AI race will depend on who can keep the best talent, win developer and enterprise adoption, fund increasingly expensive model development and navigate growing government scrutiny. https://www.theinformation.com/newsletters/applied-ai/anthropic-models-can-cheaper-use-chinese-ones-study-finds?offer=email-monthly-digest-2026-winback-299%2Cemail-monthly-digest-2026-749&utm_campaign=Leads%3A+This+week%27s+t&utm_content=14661&utm_medium=email&utm_source=cio&utm_term=10267&rc=gzsl71

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

Chinese officials have held meetings to discuss the idea of restricting overseas access to China’s most advanced #Artificial Intelligence models, Reuters reported, citing three people familiar with the discussions.. In the meetings, led by China’s Ministry of Commerce, officials discussed putting limits on the most advanced Chinese modes, including both close-source and open-source ones, as well as those yet to be released, according to Reuters. The officials also talked about possible restrictions on who can invest in domestic AI startups, the report said. #🇨🇳 ChinA.I. 🤖🧠🦾🤖 The talks in Beijing come amid a growing AI rivalry between the U.S. and China. Last month, the Trump administration announced export controls on Anthropic’s most advanced AI models, Mythos and Fable 5. While the White House has recently lifted the restrictions on Fable 5, Washington continues to view cutting edge AI technology as a national security matter. https://www.reuters.com/world/beijing-is-looking-curbing-overseas-access-chinas-top-ai-models-sources-say-2026-07-07/?utm_campaign=%5BREBRAND%5D+%5BTI-AM%5D+Th&utm_content=1095&utm_medium=email&utm_source=cio&utm_term=124

Safe Superintelligence has disclosed little about its research direction, but Sutskever said in a statement that it is “focused on overlooked aspects of how the human brain functions.”

Forget the SaaSpocalypse! It's a SaaS renaissance (SaaSaissance, anyone?). Shares of Salesforce rocketed 23% on Thursday, leading a recovery for many of the most beaten-down software stocks, including ServiceNow, Figma and Asana, after Salesforce reported upbeat July-quarter earnings on Wednesday night. The rally signaled a striking change in sentiment for the sector, which has been slammed by worries about the impact of AI on traditional software.  Thursday’s rally extended to cybersecurity-related stocks that hadn’t been swept up in the SaaSpocalypse, including CrowdStrike (up 20.5%) and Okta (up 29%), both of which also reported earnings on Wednesday. But the Salesforce rally was what got attention. Salesforce, one of the biggest and highest-profile software names, at one point this year was down 43% from where it finished 2025. Those ugly days may be over: It finished the day down just 4% for the year.  Of course, it‘s likely that investor sentiment will change again. After all, Salesforce’s quarterly numbers weren’t that good. Revenue grew 11%, 2 points slower than for the first quarter, and if you exclude the contribution from Salesforce’s acquisition of Informatica last November, growth was only 6.4%. But Salesforce is projecting a slight pickup in the second half in organic growth, which comes from signing new business or persuading existing customers to spend more, rather than from acquisitions. And while it’s only slight, it contributed to Salesforce raising its full-year revenue projection. It’s all about expectations, of course. Investors appear to be realizing they hugely overreacted to the threat posed by AI by selling down software stocks as much as they did. Software firms are still growing, even if the rate of expansion is coming down.