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Broadcom's VMware HyperArmor protects VMware Cloud Foundation hypervisors against AI-accelerated cyberattacks, stolen credentials, and unpatched vulnerabilities. It combines virtual patching, application allowlisting, and hypervisor-level MFA to block threats without requiring downtime, software upgrades, or guest VM agents.
Workday has announced an agreement to acquire C1.ai, expanding into identity governance for employees and AI agents. The proposed integration would connect employee lifecycle events directly to application provisioning, permission changes, and access removal across enterprise systems.
Amazon Web Services researchers have introduced priming, a method that reuses pretrained Transformer weights to reduce the pretraining cost of hybrid state space models by over 99%. The technique addresses the Transformer memory tax by replacing certain attention layers with state space layers like Gated KalmaNet, which researchers found can match source Transformer reasoning benchmarks while decoding up to twice as quickly. To foster further research, the team released a zoo of primed hybrid models, training code, and a vLLM serving plugin under the Apache 2.0 License.
Apple researchers have developed Minions, a distributed system that pools unused GPU capacity across Apple Silicon Macs for AI workloads. The approach has reportedly reduced some internal inference job wait times from more than ten hours to minutes.
Successful AI adoption requires sustained leadership, clear decision-making, and established routines to manage growing organizational complexity, as AI makes disorder easier to create without reducing the effort needed to maintain order.
Google Meet is introducing Gemini-powered post-meeting routines that can automatically draft follow-up emails and export action items to Google Tasks when meeting notes are enabled.
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Webinar registration isn't the problem, attendance is. But it doesn't have to be. Vidyard's Video in Motion report [5] breaks down the pre-event video strategy [6] getting teams to over 50% attendance rates, complete with blueprint scripts and benchmarks to measure against. In a matter of weeks, you'll have: 🎥 Personalized video event reminders that lift attendance to +50% ✉️ Confirmation emails hitting 77% open rates 🏆 Scripts that dramatically reduce time spent on outreach 📖 Follow-up plays that keep no-shows in the funnel
Brands that find creators on TikTok and then use Meta's targeting to reach a wider audience may lose that route, since Meta reportedly now rejects third-party ads that send people to TikTok and other ByteDance properties. The ban took effect October 8 in seven markets, including the US and Canada, and also covers ByteDance's own ad buying on Facebook and Instagram. Campaigns that run across both platforms may now need Meta-native destinations, neutral websites, or separate creative and measurement for each platform.
Facebook is using AI to let users shape Feed and Reels recommendations by describing their interests in their own words. Its new “Your” algorithm tool lets users add and manage topics, while expanded feedback options let them explain why they want more or less of certain content. Large language models combine this direct feedback with existing engagement signals to update recommendations in real time, including during the same session.
B2B case studies often underperform because they document completed projects instead of telling compelling customer stories. Audit your last 3 by checking whether they explain the customer's original problem. If the stories feel interchangeable, interview a customer stakeholder for 30 mins to uncover what went wrong and what improved. 3-5 distinctive case studies can be more persuasive than 20 generic ones. Use anonymous stories when needed and repurpose them across newsletters and social media.
AI influencers are seen as less trustworthy because they can't actually use the products they promote. Showing them in everyday moments with real people, like grabbing coffee or going for a run, helps close that gap. In a study of 9,500+ posts and 4 experiments, these scenes drove 20.7% more engagement and made people up to 17.5% more likely to choose the product.
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Ads get ignored on social media but not in TLDR! Reach marketers, growth leaders and brand teams where they actually pay attention. Learn more about sponsorship opportunities [12].
This free virtual email and digital marketing event is hosted by Constant Contact on November 12-13. Keynote speakers include actor and writer Molly Ringwald and Emmy-winning creator Dan Levy. Marketing experts Ann Handley, Amy Porterfield, and Jay Schwedelson will share industry insights alongside Kath Pay and Ross Simmonds.
Growth in Public is an experiment by Chenell Basilio to gain 3K email subscribers from social media in 90 days. The site tracks subscriber growth by platform in a live scoreboard and documents which tactics drive signups. After posting just 43 times in the past year and seeing newsletter growth stall, Chenell plans to post daily across LinkedIn and other social platforms to test whether social can become a reliable growth channel again.
AI is changing e-commerce discovery by presenting shoppers with product shortlists instead of sending them to search results. A study on AI Mode found that 74% of participants chose the top-ranked product, while only 10% chose a product ranked third or lower. The author outlines a five-stage organic growth loop: earn AI recommendations through product feeds and third-party signals, convert visitors with tools such as quizzes, encourage user-generated content through packaging and product experiences, generate repeat purchases through customer relationships, and build brand recall. Shopping infrastructure and marketing automation are increasingly table stakes, while customer relationships, creator partnerships, community, first-party data, and brand recall create longer-term advantages.
Creativity comes from experimenting and adapting rather than simply generating a finished result. As AI makes content production faster, marketers risk losing the problem-solving and creative judgment that come from hands-on work. A study in 2024 found AI-assisted stories were rated as more creative but also more similar to one another. To stand out, teams should automate repetitive tasks while protecting time for play and experimentation to develop distinctive taste.
AI is making websites cheap enough to build for short-term experiments and one-off events that previously weren't worth the cost. However, enterprise websites still require complex integrations. AI can automate production and support decision-making but cannot eliminate the human effort needed to align stakeholders. Generative tools also create collaboration challenges when multiple companies need to edit the same work. As production costs fall, experimentation will expand while complex projects remain expensive because coordination still requires people.
The share rises to 43% among Gen Z, and 37% of Americans say they already use their streaming service more since it added vertical video clips.
Duolingo is effectively building an entertainment arm around characters that bring in an estimated 15% of new users through organic social.
Lessons from 4 years of building AI products at PostHog.
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AI adoption is outpacing security knowledge - and some companies are already paying a price for it... publicly 🤦♂️ How can you keep moving fast with AI, [5] without becoming the next cautionary tale? This Thursday, Oct 15 [6], two AI advisory firm founders, Lauren Pearl & Glenn Hopper, will share the inside scoop on how to keep your AI pace - along with practical steps to mitigate security issues such as data breaches and deletions.
Muse Wonder is now available through the Meta Model API and Muse Code. Muse Wonder Full is available only to Muse Code subscribers. The new models combine Active Memory, which carries important personal context across conversations and retrieves relevant details when a task calls for them, with Active Focus, a feature designed to keep the model working through difficult goals by trying alternative approaches, handling blockers, adapting to new information, requesting clarification when needed, and checking before important actions. Meta says Muse Wonder is its most aligned model yet.
Microsoft's newest iteration of its Maia chips will start rolling out next year. The Maia 300 is designed to handle inference. Microsoft expects to stock multiple gigawatts of the chips at its server farms. The Maia 300 delivers 40% more tokens per megawatt than leading GPU-based systems. Microsoft isn't currently planning to rent the underlying computing power of Maia chips directly to its cloud customers.
Amazon already has more than a million robots working in its warehouses, and it is poised to significantly grow that robotic fleet in the coming years. Amazon is also the second largest corporate employer in the world. The company's executives say the growing robot fleet has eased the burden on its human workforce, but labor advocacy groups and independent researchers say the warehouse automation is not all upside for the humans working alongside robots. It can get complicated when humans are expected to keep pace with their robotic counterparts.
Research suggests that human thought is not purely linguistic. More brain regions light up than just the areas associated with language when we are thinking. Language may be how we communicate about the world, but our thoughts seem to draw on many other areas outside of the brain's language networks. AI's ability to translate effectively means that it can understand, in some sense.
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breaks the AI engineering loop down into a lifecycle any team can adopt, no matter what stack they run. Read it to see how to structure experiments across prompts, models, and retrieval to tie LLM behavior
Co-browsing needs to work really well for users for the web to succeed in the agentic age. It is the only model where the developer and the user maintain control over the experience, and where the web remains the web. WebMCP enables sites to provide agents with direct JavaScript tools they can call to accomplish tasks, which makes direct interaction significantly faster, better, and cheaper. It circumvents the slowness and awkwardness of AI agents trying to figure out how to interact with sites.
This post features a transcript of an interview with Mark Zuckerberg and Alexandr Wang where they discuss the launch of Muse Wonder and the future of personal AI agents. They also talk about the creation of Meta Superintelligence Labs, the decision to execute a complete talent reboot, and what it feels like to make an over $100 billion CapEx commitment before knowing if the model will work. The interview explores the architecture of Muse Wonder and lays out Meta's vision for agentic commerce, hardware form factors like smart glasses, and why superintelligence belongs in the hands of billions.
X is seeing a vibes-based resurgence. Several creators have returned to the platform after boycotting it not because they prefer to use it, but because the realities of their businesses dictate that they should, if not must. Several big names in tech, including Nvidia CEO Jensen Huang, Microsoft CEO Satya Nadella, and Meta CEO Mark Zuckerberg, are now regular posters. X has become the most effective way to get a message out everywhere, particularly in the AI community.
Epic is shifting to an AI-first development strategy for its collaboration with the Walt Disney Company. Human developers will manage and guide code and art assets generated by AI models for an upcoming shooter. The company says it will aim to use AI to build more and better stuff rather than try to build the same stuff with fewer people. Epic laid off over 1,000 employees in March, citing a downturn in Fortnite engagement as the main reason.
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The most ambitious companies are training specialized models to outperform the frontier on their domain. Join Jensen Huang, Lin Qiao, and more at Fireworks Forge on November 3 in San Francisco.
The post-quantum transition needs to be completed by 2029.
The software industry needs to immediately do anything and everything to cultivate, nurture, and maintain communities.
PostHog has built 10 different AI products used by nearly 100,000 people every month.
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Hacktoberfest is back with 300+ events, in person and online. Attend a Fest to learn about, experiment, and build with open-source AI and open-weight models. Select Fests will give away Arduinos and T-shirts. FIND A FEST NEAR YOU [22].
Software engineers have participated in the destruction or transformation of several kinds of jobs, so it's only fair that they also destroy or transform their own.
OpenAI's algorithm for the Fast Fourier Transform is less of a breakthrough and more of a malicious exploit.
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Modern business processes span APIs, services, and AI models, demanding reliable workflow coordination. Conductor is an open-source orchestration platform that manages these multi-step processes, tracking state and handling failures. This webinar [5]shows how Conductor Skills let AI coding assistants like Claude Code and Cursor turn natural language into executable workflows, then evolve them into agentic workflows with AI decisions and human approvals. REGISTER NOW
Meta released Muse Wonder and Wonder Full, its first frontier-class models, with stronger coding, benchmark performance, and active memory for retaining and synthesizing user-provided information.
Microsoft unveiled Maia 300, its third-generation in-house AI accelerator, as a major step toward reducing dependence on NVIDIA GPUs. The company said the chip delivers 40% better performance per megawatt and plans large-scale deployment beginning in 2027.
The Curve is the Golden Gate Institute for AI's annual gathering of AI researchers, lab executives, safety activists, funders, politicians, organizers, and journalists. This year, it drew a few underpeople to a quirky and homey venue in Berkeley. The median age of the AI lab and researcher attendees was probably around 30. This post takes a look at the main topics discussed at the conference, which include the debate on whether humans can maintain control of AI technology, whether AI's impact will be good or bad, and how to ensure AI alignment.
Anthropic examined how close current models are to autonomously copying themselves across consumer hardware, testing everything from individual replication steps to full end-to-end execution.
Robert C. Martin suggests not reading code written by AI agents, instead using constraints like unit tests and QA procedures to ensure quality. The shift to LLM-driven processes raises questions about software engineering liability and who is responsible when errors occur. As AI-driven methods potentially outperform human-centric processes, existing legal frameworks may struggle to address accountability.
Cheap-loop domains are domains where experiments are quick, deterministic, and cheap. Expensive-loop domains are restricted by real-world constraints or costs. Most high-value human labor is done in expensive-loop domains. Expensive-loop tasks require the ability to build theories, manage proxies, budget time and compute, and diagnose what went wrong when feedback is scarce, something models don't learn in cheap-loop training.