CISCO ZEROES IN ON ENTERPRISE HARDWARE REFRESH
Cisco says enterprises are in a multiyear networking refresh cycle.
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Cisco says enterprises are in a multiyear networking refresh cycle.
A single attacker has spent more than a year scraping data from misconfigured Salesforce Experience Cloud and ServiceNow portals by abusing over-permissioned guest access.
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By the time a technical buying decision reaches procurement, the shortlist is already decided. The vendors on that list are not the ones with the best pitch but the ones the decision makers already recognize. TLDR reaches CTOs, engineering leaders, marketers, and founders while they evaluate tools and platforms for their work. 8 million read TLDR daily to stay informed about what shipped in their space. Sponsor TLDR and get on the radar of the people who will make or influence that buying decision [4] before procurement gets involved. Early recognition compounds. Become a sponsor [4].
AI Overviews are becoming a meaningful but highly volatile source of organic traffic. In nine months of data, AI Overviews accounted for 7.53% of organic sessions, yet 22.4% of those events were misattributed to Direct. Google also favored specific, structured content such as pricing, travel times, routes, and HTML comparison tables, while stale content lost citation share over time. Surface the #:~:text= signal in GA4 to track AIO traffic directly rather than relying on standard GA4 reporting. Additionally, use citation data to prioritize content updates and avoid treating any single AI Overview traffic level as a stable baseline.
Growth is flatlining for social platforms, so they are blurring the line between social feeds, streaming, and connected TV to find new reach. TikTok now exports creator videos built on Pixar, Marvel, and Star Wars IP straight into the Disney+ app, giving entertainment and licensing brands an IP-cleared path to top-of-funnel audiences. Pinterest is testing whether a shoppable home-makeover show on Roku, packed with QR codes to buyable boards, can turn passive TV viewing into direct sales.
BetterHelp's growth team stumbled into a strategy after one TikTok comment pulled in more than 300,000 likes. That single moment turned into a deliberate program. The brand now comments on 200 to 350 posts a month, with 10 to 20 of those regularly crossing 10,000 likes. Daily new followers have grown roughly a hundredfold since the team committed to the approach last fall. The rule that makes it work is narrow - only join conversations where a mental-health brand has an obvious, earned reason to speak, and never pitch a sale in the comments themselves.
Use the CLEAR framework to prioritize experiments based on commercial opportunity, learning value, evidence strength, addressability, and resource requirements, then define the decision each possible outcome will trigger before the test begins. Set commercial success thresholds alongside statistical criteria so a measurable result only leads to action when it creates enough value to justify implementation. Feed proven learnings into future planning so teams stop retesting known questions and focus resources on the smaller set of uncertainties that can materially improve marketing performance.
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Get exclusive access to a survey of over 1,800 US consumers [9] with insights that will make your holiday marketing campaign a success this season. LocaliQ's Holiday Shopping Study offers a window into how shoppers plan to research, shop, and make purchases during the 2026
Don't treat LinkedIn Conversions API as set-and-forget. Audit the setup regularly across three areas. First, confirm the CRM consistently captures key funnel events and that fields and workflows are up to date. Then compare LinkedIn's conversion data with the CRM to catch missing, misnamed, or incorrectly attributed events. Finally, assign a clear owner and document the setup so changes to the marketing stack don't break tracking. Fix CRM gaps first, then data mapping issues, and establish an ongoing review process to keep reporting reliable.
Reddit is testing audio and video versions of its most popular posts, letting users choose to read or play a thread inside its iOS and Android apps. The test stays limited to select English-language communities and does not replace the original text or comments. Creators already turn viral Reddit posts into podcast-style content on TikTok, Reels, and YouTube Shorts, often narrating them over unrelated footage. Reddit does not own that experience yet, and this test is an attempt to bring it back in-house.
“Narrative debt” is the tension created when content raises a question, makes a promise, or opens a loop. The bigger the promise, the longer people will wait for the payoff. Small questions should be answered quickly, while larger ones can unfold over time. Avoid opening too many loops at once, which can make content feel scattered. Instead, keep a few strong questions open and pay them off at the right moments to maintain attention.
A study of 100 better-for-you drink buyers found a major retention problem, with 35% no longer regularly buying any of the five brands studied. Retention was stronger when a drink replaced something specific, like soda, rather than water or nothing. OLIPOP retained 65% of buyers who used it instead of soda, compared with 25% who replaced nothing. Liquid Death could similarly position itself as an alternative to beer in social settings. Brands should focus on the specific habit they're replacing while addressing barriers like packaging and distribution.
B2B marketers keep rediscovering that people follow people, but this is a fundamental media principle, not a LinkedIn tactic. Using Hollywood's star system as an analogy, companies should build audiences around recognizable employees rather than treat them as distribution channels. The most mature teams identify people worth building around. They develop repeatable content formats and create systems that make both the employee and company more valuable over time.
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Create recurring campaigns that include the “best of” roundup, founder check-in, and customer story.
Ideas include a funny quote, universal truth, and an oddly specific confession.
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Devs finally have a challenger to GitHub code hosting with Origin. Origin was built _on_ Buildkite. Buildkite is a launch partner for this new code ecosystem. Origin holds the code. Buildkite runs the build. Vercel ships it. Three layers, one path from idea to production. We also run CI for OpenAI, Anthropic, Mistral, xAI, Airbnb, Nvidia, Canva, Uber, Meta, Pierre, Bun and more. Build faster, more securely, more reliably, with the CI engineered for frontier scale, used by the frontier labs setting the pace.
Tesla plans to launch the Cybercab in Austin, Texas, later this month. Employees have been told to prepare for a public launch as soon as the end of the month. Tesla has launched a lottery to ride the vehicle at the launch event. The Cybercab entered production back in April, and the company has been testing units in a variety of environments and climates around the US.
Google has purchased a huge dump of data from the now-defunct Spirit Airlines for $10 million. The dump includes data on operations and business, as well as software code, but not personal information. All personally identifiable information will be rigorously scrubbed by a third party before receipt. Google will use the data to improve its products and AI models.
1872 is a startup founded by three former SpaceX engineers that aims to manufacture steel parts using AI-driven software and robots. The company's immediate goal is to establish a prototype factory that can automate most of the steel fabrication process for crucial infrastructure components by 2027. It aims to supply customers who are developing AI data centers or small modular nuclear reactors. 1872 will first focus on automating the production of rectangular steel skids.
Faster testing in the clinic creates a feedback loop. Ideas become trials that generate rich data, which improves data models, and better models inform the next generation of ideas. The clinic is a central component of discovery. Even data from failed trials can be useful. Optimizing trial efficiency is about learning fast enough to make success more likely.
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Does your LLM app eval process trace multi-agent workflows from end to end, or are you waiting for users to let you know something broke? This Datadog guide [10] shows you how to evaluate LLM agents offline. Know how your app behaves across edge cases and adversarial inputs,
Tens of thousands of teams build software inside Linear every day. The company is unusually well placed to see the entire workflow behind building a product. This post provides a picture of AI adoption within Linear's customer base. It looks at who is using AI, how it reshapes where teams spend their time across Linear, and whether it has changed how much they ship.
Cursor can now host code through its Origin platform. Origin is designed for agent scale. It supports repositories, pull requests, code browsing, and GitHub sync. GitHub repositories can sit alongside the ones Cursor hosts. Synced repositories update in real time, and users can choose what gets synced and disconnect a repository at any time. Origin is now rolling out in early beta to all paid plan users, except enterprise organizations whose admins opt out.
TLDR is hiring a GTM Engineer to join our Applied AI team and own our AI-native GTM stack. We're looking for someone comfortable building AI agents and working with HubSpot. Click here to learn more [14]!
Waymo and Tesla have come up with different answers to the self-driving car problem. Both approaches depend heavily on machine learning, but they differ in how much gets fixed in advance. Waymo has a reported 220.6 million rider-only miles, while almost all of Tesla's miles involve a driver who remains responsible for the vehicle. This article looks at the companies' different approaches to self-driving and explains how they work.
Anthropic's annualized run rate hit $65 billion at the end of July. The company has seen its enterprise popularity surge as it gears up for what's expected to be a blockbuster IPO. It filed its prospectus with the SEC in June and has been holding preliminary meetings with potential investors. There is still no official timeline for the debut.
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Thankfully, not every meeting happens in front of a screen. Now you can capture in-person convos from your wrist - transparently (bright green when transcription is running). Available now [18] with code TLDR1MO.
Every good move in the product game creates strategic possibility.
CIs have one job: scheduling.
One of the best ways to learn how to use AI effectively is to see how 'power users' use these technologies.
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Ads get ignored on social media but not in TLDR! Reach developers, PMs, marketers, founders and other tech leaders where they actually
It is now easier than ever to reward hack a benchmark and make fake performance gains.
Modern AI research teams are full of people who read Isaac Asimov and Scott Alexander and believe themselves to be building an artificial God, but in reality, they're building beings that are superhuman but fallible, each with their own interests and vulnerable to the same 'race to the bottom' dynamic as humans.
AI introduces some genuinely new twists on the problem of measuring ROI, but in the end, it still hinges on a theory of value.
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Fresh off winning the 2026 Pwnie Award for Best AI Security Research [4], the team just uncovered a malicious skills campaign that had already reached 1.7 million installs across the AI agent supply chain. Now they're bringing it all to NYC.
🧭 THE GUIDE: only 15% of security teams feel confident detecting an AI agent incident. THE ULTIMATE GUIDE TO SECURING CODING AGENTS covers what a rogue skill, MCP server, or dependency can actually do inside
Cursor is currently rolling out its Origin code hosting platform to paid users. The launch coincided with a GitHub outage that lasted over six hours. Origin allows users to connect GitHub repositories, so they do not have to move platforms. Allowing GitHub to stay as a source of truth means it costs nothing for organizations to try Origin and nothing breaks if it is abandoned.
Anthropic was reportedly on track to exceed $65 billion in annualized revenue based on its current performance, more than seven times its pace at the end of the previous year.
Groq raised $350 million at a $3.5 billion valuation after Nvidia licensed its technology and hired senior members of its team. The remaining company was rebuilding around an inference cloud combining Groq LPUs with Nvidia systems.
Test-time training allows AI models to adapt by updating their weights during use, similar to a GPS learning a persistent traffic shortcut. This approach reduces memory needs by using a fixed-size set of weights instead of a linearly growing KV-cache but requires separate models for each user, increasing computational demands. The trade-off lies between the efficient handling of long contexts for personalized services and the broader accessibility of standard models.
Researchers built a small harness and gave Fable 5 and Sol 5.6 the same jobs to evaluate their taste and creativity. The models had to follow the same creative process to build four different 15-second-long videos - three ads and one mini-documentary. The experiment showed that we are still far from having frontier models building production-ready concepts and videos autonomously. They can be creative and helpful for exploring and refining ideas, but they can't replace human judgment, for now.
A hands-on comparison tested three dense multimodal models under the same 24GB GPU constraint, including memory headroom at longer contexts. The measurements are useful, but Qwen3.8 was already covered, and the source's commercial independence requires validation.
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GLM-5.2 is a long-horizon coding and agentic model that supports 1M-token context and holds onto architectural constraints, API contracts, and prior engineering decisions. Since launch, GLM-5.2 has been available on Crusoe's Serverless Inference [13]. Now you can also use it in SERVERLESS FINE TUNING and SELF-SERVE DEPLOYMENTS. Create a