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WordPress 7.0 shipped last month. WordPress.com sites have been automatically updated. Changes include post previews, navigation overlays, responsive block visibility, more design pieces, a font manager, and much more. The release also ships with AI features designed to assist in the editor, as well as real-time collaboration on selected plans.
Google has rolled out an upgrade to its 'Take notes for me' feature in Google Meet that gives users more control over what gets captured, making it easier to track outcomes after meetings wrap up. Users can now toggle specific sections, like Decisions or Next Steps. The new Decisions tracker helps to categorize outcomes like 'Aligned' or 'Needs Further Discussion'. The Summary section has been tightened up to be more concise and scannable. Screenshots of the changes are available in the article.
Skills are small bundles of instructions handed to models so they can run the same workflows every time. Teams will often notice they keep doing the same things every time, so they write the workflow down as a skill and stop doing it by hand. Over time, this can result in a huge library of skills. These skills will eventually become obsolete as models improve. Developers need to monitor skill development so they don't build up and become a second code base that nobody uses.
The market always wins, even if a great team has a great product. You can't change a market, but you can always pivot to a more favorable sector. This requires a high level of execution and can mean essentially starting the company all over again.
YC CEO Garry Tan recalls running low on Tesla charge in rural Texas and settling for 99.1% of the 2024 eclipse, only to learn that 99% is not 99% of the experience but zero percent of it. The same boundary applies to founders he now meets weekly with identical decks since AI collapsed the cost of building: the wedge, screenshot, and TAM math all match, but only some founders can carry the idea across into a real artifact where users feel the totality.
Paul Graham likes to show founders the odds their own valuation actually requires, and they're absurdly low.
Hanover Park has recreated core accounting systems for AI-native operation, enhancing efficiency by significantly reducing labor.
The people around you would help more than they do, they just can't see what you actually need.
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Behind every post is a person. And right now, many social teams are running at full speed for longer than they should. When that pace isn't sustainable, the impact shows up everywhere: in creativity, in consistency and in results.
Bluesky warns that teen social media bans could strengthen Big Tech by raising compliance costs that smaller platforms struggle to meet. Australia's under-16 ban is cited as a key example, with major platforms required to add strict age verification systems. While the goal is youth protection, critics argue these rules may concentrate power in a few dominant companies and make it harder for new entrants to compete or build alternative social platforms.
Discovery now spreads through short clips rather than original content, so content should be designed for remixable moments that travel across platforms. A 30-second scene from Apex made a 2015 Chemical Brothers song go viral, driving a 429% spike in Spotify streams and increasing the film's viewership from 38 - 40 million in its second week. Attention moves quickly, with audiences often engaging with clips without consuming the source. Brands that package and monetize assets during spikes can capture demand in real time.
E-E-A-T matters more in AI search because models prioritize credible sources over keyword-heavy pages. Unlike traditional SEO, AI systems pull from content that shows clear expertise signals, consistent messaging, and strong external validation. Key tactics include building original insights, maintaining consistent narratives across platforms, and earning coverage from reputable domains. Strengthening entity recognition also increases the likelihood of being cited in AI-generated responses.
Email is positioned as the main revenue engine across five business models, sending 25+ emails weekly to 250,000+ subscribers. Each business runs a structured system built on a 5-day email course that converts traffic into subscribers, followed by segmented sequences tied to behavior like clicks, applications, trials, and purchases. Core systems include onboarding flows, abandoned cart and call follow-ups, product launch campaigns, and win-back sequences. Different cadences range from daily sends to 2-3 emails weekly. The key idea is treating email as multiple segmented relationships, not a single list, with higher frequency for engaged users and conversion-focused automation at every stage.
TLDR is hiring a VP of Marketing to scale growth, pipeline, and brand across 8M+ subscribers, 13 newsletters, and advertisers like AWS, Google Cloud, Microsoft, and Anthropic. Apply here [13].
Chris Long, co-founder at Nectiv, will give his take on everything that's happened recently in the world of AEO/SEO and the direction he thinks it's headed. He'll discuss Google's newly released guidance on AI search as well as major announcements made at Google I/O. This webinar will take place on June 9 at 10 AM PT.
Reddit Answers is an underrated AI audience research tool that's free to use. This post includes a prompt that provides a list of pain points, relevant subreddits, and specific threads to explore.
A study of 30,000 citations across Google AI Mode, Gemini, AI Overviews, and ChatGPT found that citation overlap is extremely low, with 76.1% unique to a single platform and only 0.8% shared across all four. Even Google's own tools show moderate divergence. Wikipedia is the main point of agreement, appearing in 35% of shared citations, but overall results show AI systems rely on largely different sources depending on platform and query type.
A Starbucks Korea campaign for its “Tank” tumbler, launched on the anniversary of the Gwangju massacre, unintentionally evoked painful memories of historical events and sparked mass outrage. The backlash led to boycotts, protests, and a police investigation. Despite apologies, the incident exposed deep societal sensitivities and highlighted how cultural missteps, combined with AI use and weak internal review, can escalate into national crises.
Roblox is allowing ads for users under 13 for the first time through an exclusive partnership with SuperAwesome. Ads will be sold via direct deals only, not programmatic, and limited to home screen banners and in-game billboards. Targeting uses contextual signals and broad demographics, not behavioral data or personalized tracking, to comply with COPPA and GDPR.
The strategy behind Obsession focused on turning the film into a shareable experience that fans could participate in before and after seeing it. Focus Features used in-world storytelling, physical products, text lines, and billboards to extend the film beyond the screen and build anticipation without revealing too much. By collaborating closely with the filmmaker and tapping into existing fan communities, the campaign prioritized authenticity and audience ownership. This approach helped drive strong word-of-mouth and viral fan content.
Brands can compete in mature markets, expand niche ones, or create a new category.
An awards show highlights how fast AI-generated ads are improving and blurring the line between real and synthetic content.
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AI may be overwhelming your SDLC, but you can keep up. With LaunchDarkly CodeControl [5], you own what ships down to the last detail. That means you:
AI assistant Poke is now available on iMessage via the Apple Messages for Business platform. Poke can send emails, set reminders, generate images, and more, from within the Apple Messages app. It is compatible with third-party services and products like the Oura Smart Ring, Microsoft Outlook, Gmail, GitHub, and Navan. Poke will conduct light actions, process manual prompts, and do background tasks for free, but any intensive requests will require payment, which can be negotiated.
Anthropic claims that AI systems will soon be able to improve themselves without human intervention. This is seen by some AI insiders as a potential marker of danger and enormous societal upheaval. Anthropic has previously been criticized for using its policy work to slow down the AI advances of competitors. Its warnings about the dangerous potential of its own tools are seen by some as a marketing ploy.
Amazon's new Proteus robot can be directed by workers using plain language thanks to an AI upgrade. Workers just tell it what needs to be done, and it figures out the priority, route, and timing. The robot looks like a heavy-duty Roomba. It can move heavy carts and cover long distances within fulfillment centers. The new system is being piloted in Amazon's labs, with deployment starting in Europe in the first half of 2027.
A robot doing a dance move may seem cool, but it doesn't really say anything about how useful that robot is. One of the biggest challenges in robotics is developing robots that can generalize their skills across many different conditions and environments. Robotics demonstrations are typically in controlled environments, making it hard to tell whether capabilities can be replicated elsewhere. A real assessment of robotic capabilities requires conducting quantitative, large-scale evaluations in the real world.
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The model is rarely the problem. It's usually the context layer: agents that can't find the right record, act on stale data, or break when they need live enterprise state at runtime.
Open Code Review is an AI-powered code review CLI tool that reads git gives, sends challenged files to a configurable LLM via an agent with tool-use capabilities, and generates structured review comments with line-level precision. It can read full file contents, search code bases, inspect other files for context, and produce deep reviews. Open Code Review's core philosophy is to combine deterministic engineering with an agent, letting each handle what it does best.
Producing code is now much cheaper and easier. Engineers need to switch from building and focus more on sculpting the output of LLM-generated code. Instead of priding themselves on the code they create, they should instead pride themselves on the code they remove or prevent from entering systems.
Hardware is the real means of production in the AI race. Machine labor is far more scalable and cost-effective than human labor. The demand for machine labor will likely be truly infinite. The limiting factor will be the hardware to support it. This post discusses the few dozen companies that have a monopoly on the future of semiconductor manufacturing.
Microsoft CEO Satya Nadella was the sole presenter outside of product demos at the company's Build annual developer conference keynote, showing how he has shifted into a much more hands-on role at the company over the last year. This article features an interview with Nadella conducted shortly after the conclusion of the keynote where he discusses the company's competitive position, MAI models, OpenAI and capex, the software business, GitHub Copilot, and more.
TLDR is hiring a VP of Marketing to scale growth, pipeline, and brand across 8M+ subscribers, 13 newsletters, and advertisers like AWS, Google Cloud, Microsoft, and Anthropic. Apply here [17].
S&P Dow Jones Indices will not shorten its 12-month seasoning period for newly public companies or waive profitability and public-flowed requirements based on a company's size.
AI agents performing tasks on behalf of humans are shifting the balance between bot vs human traffic.
Enterprises looking to replicate Anthropic's 80% milestone need to shift from a 'developer assistant' mindset to an 'automated factory' architecture.
There's no evidence that Meta is secretly identifying people users are looking at, but the apparatus for doing exactly that is present, assembled, and functional on the device.
All team members of VoidZero, the company behind Vite, Vitest, Rolldown, Oxc, and Vite+, are joining Cloudflare.
Google has transformed from a search engine that sends traffic to websites into an answer engine that removes the reason to visit one.
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The economics of data infra are changing in 3 big ways:
OpenAI introduced a new memory synthesis system for ChatGPT designed to improve freshness, continuity, and relevance over longer time horizons. The update began rolling out to Plus and Pro users in the US, with broader availability planned later.
Anthropic appears to be gearing up for the public launch of a new version of Mythos that is better than Mythos Preview. A checkpoint of the model, codenamed Oceanus, was recently made available to red teamers. These programs typically begin a week before a wider launch. The program was apparently paused due to an individual in the program reselling the model via a Chinese API proxy. It is unknown whether this will impact the launch date.
Anthropic is expediting AI development by enabling AI systems to autonomously design and develop successors, a concept known as recursive self-improvement. Internal benchmarks show AI-driven processes allow typical engineers to ship eight times more code than in previous years.
Braintrust founder Ankur Goyal lays out Topics, the intelligence layer for analyzing production agent traces at scale where million-token traces with hundreds of spans break every standard NLP tool that expects uniform document shapes. Inspired by Anthropic's Clio paper, the pipeline runs preprocess to facet to embed to cluster to name to classify, with the LLM summary doing the one job that makes the rest tractable since the raw trace never has to fit in an embedding model's context window.
A study of few-step distillation for Qwen-Image-2.0 found that data composition, teacher guidance, and task mixture strongly affected student model performance.