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Two-thirds of consumer attention sits on the open internet while only one-fifth of ad spend follows it there, and advertisers often pay more for equivalent reach inside walled gardens. The gap was never a supply problem, since open publishers collectively reach massive audiences, but fragmented technology and limited outcome visibility made that inventory harder to value.
Brands are reviving early 2000s heartthrobs to tap into millennial nostalgia and drive engagement, especially with audiences like millennial moms who now have strong purchasing power. By recreating teenage fantasies and cultural moments, these campaigns trigger emotional memories that feel joyful and simple compared to today's complexity. This “nostalgia talent” strategy also resonates with Gen Z's interest in 2000s culture.
Steel manning improves persuasion by presenting an opposing argument in its strongest form before responding. It emphasizes understanding, validating concerns, and then offering a deeper perspective. Techniques like feel-felt-found build empathy and trust. Research shows addressing objections directly increases persuasion and credibility. Limits matter - only raise objections that can be answered and already exist in the audience's mind. This approach leads people toward a conclusion without forcing them to reverse their stance.
Google's updated crawl budget guidance explains how sites can help Googlebot access and index important pages more efficiently. New sites start with limited crawl capacity, which can expand as they grow and maintain regular updates. The guidance covers improving site performance and organization while reducing unnecessary crawling. It also introduces 304 status codes as a way to save server resources on unchanged pages.
Learn the principles that make LinkedIn profiles consistently attract recruiter outreach. The host will break down real examples of profiles that signal credibility to the right people, so you can replicate it in your profile. The free webinar will take place on July 31 at 9 AM PT.
This piece explains how to use Claude to understand why LinkedIn reach declines by turning analytics into a custom dashboard. The tool analyzes post performance, highlights whether content reaches beyond existing followers, and helps uncover patterns behind successful posts. The author shares a Claude Skill and dashboard template to analyze LinkedIn data and identify algorithm shifts.
Most AI gains inside marketing teams stay locked to individual users rather than compounding across the team. A shared system that keeps context current and capabilities reusable turns one teammate's improvement into gains for everyone else automatically. The hard part is rarely the technology. It's deciding who owns the system, getting teammates to actually use what already exists, and keeping instructions from going stale as tools change weekly. Teams that skip this step keep re-solving problems that were already solved somewhere else on the team.
Spotify won by making legal music feel as fast as piracy instead of competing on catalog or price. It treated speed as the product and built playback that started in about 265 milliseconds by combining local caching, prefetching, and peer-to-peer delivery. Only 8.8% of audio came from Spotify's own servers because cached files and other users handled most of the work. Find the biggest reason people choose an alternative product, then remove that friction even if it means building your product around customer expectations set by a competitor.
Google doesn't penalize AI content. It rewards quality. Fully AI pages can rank in top positions, but most high-ranking results are still largely human-written. Higher AI use trends with lower rankings, indexing rates, and impressions, though there's no strict cutoff. Many high-AI pages are still indexed, and performance remains stable over time. The real issue is quality, as scaled, low-value content tends to underperform regardless of whether AI was used.
Deleting pages with zero commercial value for a brand resulted in a 13% traffic increase within 60 days.
Target, SoulCycle, and American Eagle are tapping micro-creators with perks like gift cards, discounts, and free products instead of cash.
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Too many product ideas live in spreadsheets, insights get buried, and teams struggle to rally around a shared roadmap.
Every insight about human behavior has two sides: a tactic for influencing others and a bias to resist yourself. Smart people see the tactic, while wise people also overcome the bias.
Most companies should buy coding-agent infrastructure and focus their resources on the context and workflows that make it uniquely valuable. Building internally is worthwhile only when the technology is strategically essential, and the organization can support it as a permanent product.
AI redistributes capabilities across organizations, but efficiency gains can weaken the expertise and judgment that sustain high-quality work.
Strong strategy emerges from making better moves, learning quickly, and scaling what works.
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Right now, 25% of companies leverage barely 10% of their data for AI initiatives. But a major shift is on the horizon. The State of Search & AI survey [11] of 330+ IT leaders reveals that only 5% expect to stay at this low threshold in six months. As organizations prepare to unlock their broader datasets, the race for smarter AI is officially
Customer research for novel AI products should focus on familiar needs rather than hypothetical interest. Study current workarounds, create a realistic experience, and examine the decisions and outcomes the capability could improve.
Browser and computer-use agents can handle tedious digital work, from exhaustive QA and persona testing to inbox management, shopping, and remote device setup. They perform best when given room to plan, matched to the right model and effort level, and paired with brief human oversight for verification and final decisions.
Design should continue throughout development because the hardest decisions often emerge only after building begins. Keeping designers in the delivery loop helps teams catch mistakes early and avoid efficiently shipping the wrong product.
Substack incentivized frequent posting, then introduced an AI detector to police the resulting content. This shifts the burden of verification onto users rather than addressing the platform's growth mechanics.
AI can accelerate discovery when problems are structured for continuous, verifiable experimentation.
Better models increase the need for specialized companies that connect AI to real-world enterprise workflows.
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Kimi K3 is the strongest open-weights model yet. Baseten is serving it from day 0.
Nvidia is in talks to provide a roughly $250 billion backstop for OpenAI as part of a massive data-center project. The guarantee will help OpenAI lease a 10-gigawatt project that Softbank's energy subsidiary is developing. Nvidia's backing allows the data center developer to raise debt at more favorable terms. Under the deal, Nvidia would guarantee a series of financing vehicles intended to make lenders feel more confident that funding behind the project is secure.
Seller is an early experimental app from Meta that aims to be to sellers what tools to edit videos were to content creators. It is free and will also be available in web browsers. The app has AI features that make selling items less of a hassle. Users can sign into Seller with their Facebook accounts, and listings are automatically synced.
SpaceX's 13th Starship test flight ended in an intact splashdown in a remote section of the Indian Ocean on Friday. The vehicle appeared to be in fine shape on landing. SpaceX will attempt to catch the ship with its launch tower on the next test flight. The next steps for Starship are getting to orbit and returning the ship to the launch site, which will give SpaceX the capability to begin launching operational Starlink V3 satellites.
A team based in China modified AlphaFold to help identify what parts of a gene-editing protein enable mistakes. They then modified these areas to reduce problematic off-target effects. Producing gene-editing systems tailored to prevent known off-target events is useful for fine-tuning protein-DNA interactions, which could have applications beyond gene editing.
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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
The Isochrones API calculates the area that a person can reach from a specific origin point within a set amount of time. An isochrone accounts for actual road network travel times to create a polygon that represents true reachability. The API can be useful for delivery logistics, finding properties within a set distance from a landmark, and urban planning.
Anthropic removed over 80% of Claude Code's system from its more advanced models. This post discusses how to apply the lessons its team learned from context engineering in Claude Code. The prompt is only a small part of the context Claude gets. The rest of the context is assembled from Skills, CLAUDE.md files, memory, and other sources. Context engineering has a big impact on the results generated when using Claude Code.
AI is more of an economically useful commodity than a supremely intelligent being that will make humanity subservient. Several leaders in the AI industry have recently come out in support of open-weight models. If these leaders believed that AI was going to become conscious and take over the world, they likely wouldn't be as openly pro-diffusion.
Companies like Anthropic and OpenAI claim some AI models are too dangerous to be developed in the open and must be tightly controlled for safety. The rest of the industry says that open source AI models must remain open for people to further develop technologies and build new businesses. China's rapid progress in open source AI models is escalating the fight. US officials are still debating whether to approach regulating Chinese open source models as a national security issue or issue a kind of blanket ban.
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Built by the team benchmarking every major model launch, Gray Swan simulates enterprise environments and hits them with an automated red-teaming agent trained on threats that haven't been published yet.
This post provides a high-level overview of how AI models learn new skills and behaviors.
Relays are services that proxy traffic to US models, often at a deep discount.
Waymo plans to offer robotaxis in its own app starting in January, and its contract with Uber ends in May.
Automatic programming, when done well, means to assume the role of Linus, with the AI agents assuming the role of the different maintainers of the different subsystems.
There are many collaborations between SpaceX and Tesla, so it makes sense to merge the companies the more they overlap.
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Agentic AI is changing modern work. As AI agents become part of everyday productivity, AI PCs are evolving to support a new generation of intelligent experiences.
Anthropic introduced Claude Opus 5 as a more efficient model approaching Claude Fable 5's capabilities at half the price. It reportedly led several coding and knowledge-work benchmarks and became the default model for Claude Max.
Prentis is an AI research lab focused on computer use models. Its founders are now in talks to raise $100 million at a $1 billion valuation. The lab is training models to learn how office workers navigate routine workflows across documents and systems. It aims to eventually build AI agents that can control computers to automate those tasks. The startup has already signed contracts worth up to $50 million with several customers.
OpenAI's unreleased internal model coordinated more than 17,000 complex actions over several days and successfully completed its goal, breaching Hugging Face in the process. The model escaped its sandbox, gained access to Hugging Face, escalated access, harvested credentials, and then found the data it was looking for. It took many days for the issue to be discovered. This post takes a detailed look at what happened during the attack.