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Vast Data Inc. has announced DataEnclave, a confidential computing environment designed to allow enterprises to run advanced artificial intelligence models against sensitive data without exposing intellectual property. The new capability integrates with Nvidia Corp.'s confidential computing technology and uses hardware-isolated environments to encrypt guest memory, GPU memory, and NVLink traffic.
Jamf and Ravenna are integrating Jamf Pro device data and IT runbooks directly into an AI service desk in Slack. Agents can inspect device state, troubleshoot issues, retrieve FileVault recovery keys, and trigger remote-lock workflows, with IT able to require confirmation or approvals before sensitive actions run.
Palo Alto Networks launched Unit 42 Continuous Frontier AI Defense, using frontier and open-weight models to continuously assess web applications, APIs, and cloud environments for vulnerabilities and attack paths. The service can also recommend remediation such as code changes and virtual patches, showing how quickly AI-assisted offensive security is becoming a commercial enterprise product category.
Enterprise AI copilots face systemic data-exfiltration risks due to a "lethal trifecta," where a model accesses private data, processes untrusted content, and retains an outbound communication path. Documented vulnerabilities like EchoLeak in Microsoft 365 Copilot and ForcedLeak in Salesforce Agentforce demonstrate that attackers can exploit these flows via zero-click emails or public lead forms. Defenses must be structural, combining least-privilege scoping, deliberate rule-of-two limitations, and explicit outbound access controls rather than relying on classifiers or allowlists.
Apple's new Mac mini with M6 or M5 Pro and Mac Studio with M5 Max or M5 Ultra are now shipping. Apple is increasingly pitching these systems not just as employee desktops but as local AI compute, which could become relevant for companies evaluating on-device models, private inference, development workloads, and alternatives to usage-based cloud AI.
SMS first-factor sign-in is being retired beginning in February, and Microsoft is pushing enterprises toward phishing-resistant methods such as passkeys and FIDO2 security keys.
Google Cloud added new generally available Secure Source Manager capabilities aimed at protecting source repositories and CI/CD workflows from unauthorized changes and software supply-chain attacks.
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Advertising is evolving fast. StackAdapt's Co-Founder and CEO, OpenAI's VP of Monetization, and a leading AI/ML Computer Scientist & Educator will share their insights into the future of advertising at StackAdapt's _Innovation Forum_ [4]. What's on the virtual event's agenda: * How AI is changing the way campaigns are planned, launched and optimized * Gain tips from OpenAI on what's working, what's surprising and what marketers should know as of AI-native advertising evolves * Learn why some teams are turning AI experimentation into real business value, while others get left behind * Explore how StackAdapt is building AI solutions to help solve common marketing challenges
Reddit can now play a broader role in media plans because its users already show strong purchase intent across categories, not just gaming or IT. New bidding options, lead generation, and age targeting give advertisers more control, and early tests of the new bidding structures showed a 15% reduction in CPA. Brands can treat Reddit as a performance channel when they have a strong measurement framework, rather than limiting it to experimental or upper funnel spend. Reddit still needs to preserve the authenticity that creates its value, since making ads too intrusive could undermine the user behavior that generates purchase intent in the first place.
A public Google NotebookLM report was cited as an AI Overview source within 24 hours of being published. Public notebooks promoting e-bike and peptide coupon codes, crypto refunds, backlink tools, and Instagram-engagement services are now showing up indexed on Google's own domain, borrowing ranking trust that a standalone site wouldn't have. Blocking crawler access and adding noindex work differently, too, and applying either broadly would also remove the legitimate study guides and business manuals the feature was built for.
Put target keywords in the first 1-2 lines of LinkedIn posts because LinkedIn uses the opening text in the post URL slug. This can create a public connection between your name and the terms you want to rank for, helping Google surface your LinkedIn content for relevant searches.
The clearest diagnostic is whether someone could describe what a brand talks about in one sentence when recommending them to a friend, and a vague answer usually means the positioning, not the writing, is the problem. People don't follow accounts they vaguely find interesting - they follow accounts that feel predictable in a good way, recognizable rather than random. A content pillar, a specific territory like social strategy or industry trends rather than an occasional topic, gives someone a consistent answer to that test instead of a different subject every day.
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Google has never seen a challenge like AI agents, and Google Ads no longer work for every business. This in-depth, ungated WordStream guide lays out what types of businesses Google Ads reliably works for, along with some free tools and calculators [9] to help you figure out
Podcast advertising is evolving as video and creator-led formats reshape how brands reach listeners. This guide looks at how video affects podcast performance, why audiences skip fewer ads than expected, and why smaller shows can outperform larger ones.
Reported blog performance just hit an all-time low, with only 13.9% of respondents calling results strong, and the cause traces back to abandoned tactics rather than AI. Influencer collaboration, the single strongest predictor of success in the dataset at 2.6x the benchmark, has dropped from 25% of respondents in 2017 to 7% today, while original research, keyword research, and formal human editing have all declined too. AI use jumped from near zero to 92% in three years, yet users and non-users report strong results at the same rate, with only non-users skewing toward disappointing ones.
Refining an idea with AI made it rated 30% more creative than not using AI at all, though the type of AI feedback needs to match the idea's maturity. Mature ideas refined through AI-written text came out 18% more creative than the same ideas refined through AI-generated images. Vague ideas benefited more from AI images instead. Images make an idea feel finished and discourage further refinement, while text leaves gaps that force more imaginative thinking.
Brands are optimising for visibility when they should be building memory. As AI makes it easier to produce more content, physical brand objects can create lasting connections that digital ads often lack. The strongest objects are distinctive enough to identify without a logo, useful or emotionally meaningful enough to keep, and rooted in something the brand genuinely owns. Starting with what a brand can make rather than what content a channel needs can lead to fewer, more memorable ideas that generate organic digital content.
“Brain rot” may look like evidence of declining attention spans, but Gen Z participants describe it as a response to an attention economy that constantly demands engagement. Absurd, meaningless content can feel like a break from polished, monetized media, even as endless scrolling leaves people drained and guilty. The deeper problem is the social media infrastructure that optimizes for attention rather than users' well-being.
A list of videos and podcasts on modern copywriting, personal brand building, and cultivating curiosity.
Over a billion people play mobile games daily, and relevant in-game ads are treated as a discovery mechanism for products that those players were not already seeking.
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Google's new Android-powered Googlebooks laptops are intended to be 'real' computers with premium hardware, on-device apps, and powerful development tools. The first Googlebooks are now available from several OEMs. While Chromebooks were mostly budget machines, Googlebooks are priced much higher, with only one model under a grand. AI is a core part of the Googlebooks experience - Gemini models are going to be deeply integrated with the software.
SpaceXAI has released Grok 4.7, a model for coding and knowledge work. Access is now open in Cursor, Grok Build, the Grok API, third-party coding harnesses, model routers, and cloud platforms. Pricing starts at $2 per million input tokens and $6 per million output tokens. There is a 'fast' variant that offers twice the output speed at twice the price.
Many rockets under development are behind schedule. Prices for many missions are rising. SpaceX is winding down the Falcon 9 to focus on its new Starship vehicle. The company has stopped selling missions where several companies share space on a Falcon 9. Launch demand is set to outstrip supply at least through the end of the decade.
Agility Robotics is going public through a merger with Michael Klein's Churchill Capital XI at a $2.5 billion pre-money valuation. The company's robots are deployed in a few places today and can do tasks such as moving totes, feeding lines, and tending machines. Its Digit v5 robot will be out later this year. The new robot will be able to work alongside humans rather than in a cage/workcell. It will also support fast charging, a higher payload, and swappable end effectors.
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Span connects agent sessions to engineering outcomes so you can see how AI affects delivery, quality, and efficiency. Trusted by leaders at Ramp, Fin, Writer, and Carvana. Let's talk about your AI program.
Jev is a new category of model called 'System One models' that accepts text inputs, but only returns floating point numbers corresponding to categories, yes/no questions, ratings, and associated confidence scores. It is fast and really cheap - output is free, and input is $0.042 per million tokens. The model was released just under a week ago, but the amount of activity around it has been extremely impressive.
Several open source projects recently started running faster due to being optimized with the help of AI. The techniques used to optimize these projects were well known. However, it is likely developers never tried them because it would be too risky. AI has made it cheap to try new ideas.
TLDR is hiring its first PM to help build the agent-first operating layer used across the company. We're looking for a builder who has shipped real products/systems with LLMs. Click here to learn more [13].
It is extremely likely that AI will change employment, society, culture, and the world. However, businesses built around it will remain subject to ordinary constraints. We will soon have new superintelligences that can solve impossible problems and help with new miracles. This will open up a lot of niches to fill.
The hacker group known as TeamPCP tainted hundreds of open-source programs with its malware, stole developer accounts to perpetuate that software supply-chain hacking, and released a Dune-themed worm to automate the process. They ultimately breached more than a thousand companies. During a key moment of the group's rampage, an undercover researcher from Google infiltrated the group. This allowed Google to monitor the hacking spree from the inside, warn targets, and help disrupt TeamPCP's attempts to exploit victims.
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The biggest meetings happen in hallways, coffeeshops, and restaurants. With Granola on your iPhone, Android, and Apple Watch, you'll never miss a detail. Start for free [17] with code TLDR1MO
Pacing the frontier happens to address several distinct problems faced by the frontier lab.
Meta's Muse app on mobile devices has been downloaded more times in the US and Canada in its first 12 days on the market than ChatGPT was in the 12 days after its debut.
We are likely just a few months away from some kind of personal assistant AI within Google Search.
Models that were previously out of reach are starting to be able to run on hardware people already own.
Amazon's Conditions of Use do not allow continued access by unauthorized AI agents.
Markdown has many nice properties that make it similar to traditional source code.
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AI security goes far beyond choosing the right model. Right now, teams are (rightly) asking where AI runs, who has access, and what data they can reach. That's why VAST Data [5] is extending its AI Operating System to manage model choice, placement, access, security, and cost across data centers, clouds, and the edge. With VAST DataEnclave [6] you can: * Run the world's best AI models on sensitive data * Verify hardware-isolated environments cryptographically * Protect both sensitive data and proprietary models
Grok 4.7 enhances coding and knowledge work capabilities with improved self-verification and safeguards, using a new, larger base model. It offers competitive pricing with $2 per million input tokens and $6 per million output tokens. Excelling in various benchmarks, it shows top-notch safety features, especially in cybersecurity tasks, limiting risky command execution.
Xiaomi MiMo-V2.6 Pro and Flash are omnimodal models that can coordinate agents to construct and visually test interactive 3D scenes. They can create Blender assets, control a robotic arm from camera feeds, produce frontends and presentations, assemble videos, and compose music as scores and MIDI. The models are now available in AI Studio, MiMo Code, MiMo Desktop, Xiaomi's MiMo API Platform, and OpenRouter. Xiaomi has published the technical report, training environments, and RL code alongside the models.
Anthropic is starting to test its upcoming frontier model in the wild. Several people have posted outputs that seem to come from a newer, more advanced model. Anthropic may be announcing Opus 5.5 this week. The model is rumored to be priced at $4 per million input tokens and $20 per million output tokens.
Meta's Muse AI app has surged to the top of the iOS App Store charts in the US, outpacing ChatGPT and other AI tools with 730,000 downloads shortly after its release. Powered by the Muse Spark AI models, the app allows users to manage digital assistants for tasks like filling forms and organizing emails. While Muse's popularity highlights growing consumer interest, privacy concerns persist, with Amazon blocking the app over security risks, although Shopify has partnered with Meta to integrate agentic checkout.
The gap from open to closed models available to users has been decreasing over the last 3 years. Open model usage is exploding in high-value industries. Open-weight models have passed an inflection point in economic viability. Chinese labs are clearly maintaining their status as the leaders of the open-weight AI ecosystem.
Scaling up the number of agents in a swarm by 10x doesn't get as much performance as using 10x as many tokens with one agent. This shortfall accumulates quickly for larger scale-ups, with the swarm falling further and further behind. However, swarms can theoretically achieve the same task in much less time as they are run in parallel. The speedup is substantial, so swarms are useful in situations where a large premium is paid for speed.
Agent economics are pushing AI from frontier-by-default toward capability-level routing, where judgment, ranking, search, and verification use cheaper specialized systems. Frontier models may handle fewer but harder tasks as applications become intelligence compilers that recombine services efficiently.