The Social Community forArtificial Intelligence

Mark Zuckerberg is on a roll. Fresh off his triumphant rollout of the Muse personal agent, he signaled his commitment to selling AI to companies by announcing the poaching of CJ Desai, MongoDB’s CEO, as head of a newly created Meta Enterprise Platform business. Desai has had a long career in enterprise software, at companies including ServiceNow and Cloudflare before MongoDB, making him a significant hire. We still don’t know exactly how expansive Meta Platforms’ ambitions are for enterprise. Will Zuckerberg use some of its data center capacity to go into the neocloud business? Zuckerberg’s announcement—and Desai’s own background—suggest Meta is more interested in selling AI agents and software to businesses. Whatever the case, Zuckerberg must have made a good case to Desai about the scope of his ambitions. Desai only joined MongoDB last November, and presumably he wouldn’t have bolted without a very good reason (and/or a big paycheck). It’s a pity he couldn’t have negotiated a better title than chief enterprise platform officer, however. https://about.fb.com/news/2026/09/launching-meta-enterprise-platform/?utm_campaign=article_email&utm_content=article-17903&utm_medium=email&utm_source=sg

Nvidia on Monday released new software and hardware products to prevent hacking incidents such as the breach in July of Hugging Face and other companies by OpenAI’s AI.  https://www.reuters.com/legal/litigation/nvidia-releases-ai-safety-software-it-says-could-have-stopped-hugging-face-hack-2026-09-28/

Rebranding or setting up shop in Singapore/Malaysia to bypass trade tensions seems like a temporary band-aid. Do you think regulators will eventually crack down on these supply chain workarounds?https://www.theinformation.com/newsletters/ai-infrastructure/google-amazon-microsoft-need-chinese-data-center-suppliers?offer=rtsu-engagement-25%2Crtsu-featured-articles-pro&utm_campaign=%5BClaude%5D+%5BNL%5D+RTSU%3A&utm_content=15474&utm_medium=email&utm_source=cio&utm_term=10636&rc=gzsl71

If Jev is outputting 193x faster responses for structured decisions, does this mean text generation was actually holding back real-time AI agents all along? What's the first workflow you’d test this on? #(Cool) Dev https://medium.com/tailed-tech/jev-makes-llms-look-slow-and-expensive-35b5704348ef

Is there a fire alarm going off at Microsoft’s headquarters? A slew of Microsoft executives have bolted for the exits in recent weeks, most recently Ryan Roslansky, executive vice president of Office apps, who said Thursday he would leave at the end of this year. A day earlier it was Microsoft Science President Peter Lee’s turn. Both follow a bunch of other senior exits over the past few months, most prominently Office and Windows chief Rajesh Jha. Those exiting are mostly veterans who had been at the company for 15 years or more. Each had their own reasons for leaving, we’d guess—for example, new jobs elsewhere. But it’s likely not a coincidence they’re choosing to leave as Microsoft, like other companies, is having to rethink how it operates to deal with both the opportunities and the threats posed by AI. In this environment, it makes sense that people who have been at Microsoft for years and probably have made a lot of money on the stock (it’s up 1,289% since 2014, according to Koyfin) would decide to get out now while the going is good. After all, while Microsoft’s cloud operation will surely grow faster as a result of AI workloads, new AI services could undercut its software business. If you’re a Microsoft veteran who no longer has the hunger to prove yourself, why deal with the stress? Leave it to younger people. It’s also notable that in recent months, CEO Satya Nadella has been promoting younger folk, such as Asha Sharma, who has recently been getting a lot of attention as she shakes up the troubled gaming unit. And in the spring, Nadella put Charles Lamanna and Jacob Andreou in charge of Copilot. Both Andreou and Sharma are relatively new to Microsoft, having previously worked at Snap and Instacart, respectively, among other places. Who else might leave? Microsoft is a 51-year-old company, so there are probably lots of veterans. Roslansky’s and Lee’s departures this week surely won’t be the last. #Game addicts 🤪🎮 https://www.nytimes.com/2026/09/30/arts/xbox-microsoft-asha-sharma.html?utm_campaign=article_email&utm_content=article-17920&utm_medium=email&utm_source=sg

wtf is going on in Montana? #Data is beautiful

Last week, Google’s DeepMind announced that it was releasing Gemini Argon 4 to a select group of testers, but it was the specs of the model and its performance on a battery of exams that really got people’s attention. That performance also has some significant relevance to investors, because if the benchmarks hold up, Google has managed to succeed in a number of areas where its competitors have ceded ground: - While the major AI labs have all been churning out products on the frontier, amid all the chaos of new models — Opus 5.5! Fable! Astra! — the understanding of who commands the bleeding edge of AI development has actually been rather boring. - Based on LMArena, it’s been Anthropic’s Claude dominating the rankings, and since March Claude has been a strong favorite on prediction markets to finish the year as the best AI. - That’s why Argon is so interesting: even though it hasn’t been rolled out to customers, the performance of the model was so solid that, in the week since it was revealed, Gemini jumped neck-and-neck with Claude*. Now, let’s talk those metrics. The details on Argon’s benchmarking posted by Demis Hassabis, Alphabet’s top AI honcho, made it clear that it’s good at navigating dense legalese, is top of the line at business automation, and makes stuff up way less: - Argon appears to have crushed the competition on Harvey’s Legal Agent Benchmark, coming in at a score of 19.6% compared to nearest runner-up Claude Fable’s 6.7%. - Also of note is the performance on AutomationBench, a benchmark from Zapier about how good models are at basic daily tasks in sales (such as lead management, CRM), marketing (ad performance), finance (expenses and bookkeeping) and HR (payroll and onboarding). There, it outran the nearest competition by nearly ten points. - Those analyzing the model’s performance have also found something else impressive: Argon also appears to have knocked it out of the park when it comes to reining in hallucinations. According to the AA-Omniscience Hallucination Rate, which calculates how often a model answers incorrectly when it gives a partial or non-response, is the lowest on the frontier, at just 15%. That’s obviously not zero, but a major improvement compared to GPT-6 Astra (45%) and Opus 5.5 (59%). This doesn’t mean you can replace your lawyer with Argon, but… if you are a company that earns a solid slice of billable hours consulting, offering basic legal advice, human resource services, or actionable intelligence, I might be a little worried about the AI in every client’s email getting sharper at precisely these tasks. THE TAKEAWAY These developments might be especially relevant for Google’s business in particular. Several of their peers in AI development have understandably focused their efforts on designing models that are particularly good at coding.  From a long-term ROI perspective, it makes sense for technology companies to invest in tools that can build better tools. There’s also tons of online material about how to code for AI to ingest. And of course, humans who develop software are just incredibly expensive, and if you can build a robot that develops software you can sell it to a lot of fabulously wealthy technology companies and make a lot of money before you IPO.  While some of those incentives are advantageous for Alphabet, the more important element here is to think about what makes Alphabet’s core customer more unique. Nevermind coders, Alphabet has lots and lots of corporate G Suite customers and even more people who just use elements of the Google family of products.  How Google will make money from AI is by creating tools that can be used by the companies and people that already pay Google. In other words, Alphabet’s best shot at dominating an AI niche is to build within the business services niche it already dominates, selling to the hundreds of millions of people who work non-software jobs who want useful tools for those jobs.  That’s why the Argon result is just so eye-popping, and why the rollout of Argon could be a make-or-break moment not just for Alphabet, but for the scores of companies that Argon may very well disrupt. Just ask the software developers and SaaS companies how fun it was for them when Claude would demonstrate on a weekly basis how delicious it found their lunch to be. #Data is beautiful

Anthropic doomsayer Jacob Coxon shares why he was concerned enough about AI safety to leave Anthropic (https://www.theinformation.com/articles/anthropic-doomsayer-jacob-coxon-saw?offer=rtsu-engagement-25%2Crtsu-featured-articles-pro&cio_link_id=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__40b8405f4d9d744a216f1e3d4b873153a3a09f2401f40c7ca9c305a704af97f1&utm_campaign=%5BClaude%5D+%5BNL%5D+RTSU%3A&utm_content=14836&utm_medium=email&utm_source=cio&utm_term=10377).

Google promoted Koray Kavukcuoglu to CEO of DeepMind, replacing Demis Hassabis. He was previously the division’s CTO, and is considered Google’s “chief AI architect.” https://www.cnbc.com/2026/08/12/google-deepmind-koray-kavukcuoglu.html?_bhlid=f851d53b6fb689b61ea9caf8a5ab34e8f0f2b071

LiveRamp, which helps advertisers use customer data to target and measure ads, said Monday it is expanding its partnership with OpenAI so advertisers can target their ads in ChatGPT based on customer data they collect, a feature already available with Google and Meta. #Digital Wellness 📱🧘 https://www.contentgrip.com/liveramp-chatgpt-ads-audiences/

Is it actually possible to be happy without strong social connections or responsibilities? Can pure introversion or deep solitude lead to real contentment, or do humans fundamentally need a community to thrive? the idea that having people rely on you isn't a burden, but actually the source of real joy. 🤔 The 'thrill of not being needed' definitely gets old as you get older. #MEDITATION (mindfulness) #Healthspan Advocates https://medium.com/zenite/happiness-isnt-about-being-carefree-f225f949ea85

Why the SaaSpocalypse isn’t over for Workday (https://www.theinformation.com/articles/saaspocalypse-workday?offer=rtsu-engagement-25%2Crtsu-featured-articles-pro&cio_link_id=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__53507fa7df8fd54abe1fa51cdc25696836c214eb71d1d0ed346a64f7041df69f&utm_campaign=%5BClaude%5D+RTSU%3A+Why+t&utm_content=15492&utm_medium=email&utm_source=cio&utm_term=10643).