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Reddit is where the "final check" happens before a purchase is made. By joining these high-intent conversations, brands tap into an audience that is more likely to trust (and buy) than on any other social platform.
→ SAMSUNG drove a 10PT INCREASE in purchase intent and brand
→ IBM increased awareness among software engineers by 4-7PT with a
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Influence is spread across many channels, with search and social making up nearly half of all visits. Google dominates, drawing as much traffic as the next 13 sites combined, while AI tools account for only about 0.1% of usage. The data suggests most influence happens across fragmented platforms, and search mainly captures and converts demand rather than creating it.
AI campaign tools like Performance Max and Advantage+ are now baseline, but teams that defer entirely to algorithms risk optimizing for the wrong signals, such as hitting CPA targets while flooding CRMs with low-quality leads. Creative has become the main differentiator on paid social since targeting capabilities have converged across advertisers. Meanwhile, retail media is growing rapidly through first-party transaction data, AEO is restructuring organic search as AI Overviews cover 55% of queries, and B2B marketers are shifting toward demand generation as buyers complete most of their journey independently.
Wayk, a morning alarm app that forces users to complete tasks like pushups or photos before it turns off, reached 100K downloads and the #15 spot on the App Store within 30 days. The growth came almost entirely from TikTok, where the team adapted proven short-form formats from adjacent productivity apps instead of inventing new content styles. Each video followed a repeatable structure of a relatable caption paired with a raw, unpolished reaction to the product. Reddit and X failed to generate traction, reinforcing that for small consumer app teams, short-form video is currently the dominant distribution channel.
TikTok ads experience creative fatigue faster than other platforms due to the algorithm's preference for high-velocity novelty and entertainment-focused consumption patterns. Advertisers should treat creative development like a supply chain with modular components, filming multiple hooks, body segments, and CTAs that can generate 60 ad permutations from one hour of shooting. The hook fatigues fastest and should be swapped when thumb-stop rates drop below benchmarks for three consecutive days, while keeping successful body and CTA elements intact.
A structured AI agent system can replace inconsistent growth work by running weekly audits, experiments, and prioritization in under an hour. The toolkit includes instant prompts that generate a full audit in 60 seconds and a 3 month roadmap in minutes, which replicates work that normally takes 2 to 3 hours. Small gains compound over time, since a 2% improvement in conversion can decide whether a company misses its annual target by 20%. AI-driven teams already see 42% more content output and 27% higher conversion rates, and this system increases testing velocity from about 1 experiment per month to 3 to 5 per week. The system is designed to help founders focus on decisions while maintaining consistent growth execution.
Klaviyo released a major AI update headlined by Composer, an agent that builds full campaigns from a single plain-language prompt. It determines audience, messaging, timing, channel, and sequence based on performance data from over 193,000 brands. The release also expanded Customer Agent with retail-specific skills across chat, SMS, email, and WhatsApp, plus new features like RCS messaging, personalized send times that showed a 35% lift in click rate, and audience optimization that scores unsubscribe risk before a campaign is sent.
A free 1 hour live session where Emily Kramer teaches you how to build a custom marketing strategy skill using Claude Code. It's hands-on, so you'll create your own working skill and get live support. The session also introduces MKT1's MCP Server, which helps you build these skills more efficiently.
Email's power comes from its constraints. A narrow 600px layout, outdated HTML, and unpredictable rendering force focus on clarity, strong copy, and intentional design instead of flashy features. These limits reduce decision fatigue and spark creativity, pushing marketers to prioritize the most important message. With fewer distractions and a defined structure, emails deliver higher ROI and conversions than more technically capable channels.
Ragebait dominates online culture by provoking outrage for clicks, turning extreme emotions into entertainment and social currency. It thrives on polarisation and contradiction, letting people love-to-hate and hate-to-love the same content. For younger audiences, it becomes a hyper-literate, playful way to explore culture and subvert norms, but widespread exposure breeds numbness as emotions are flattened and gamified by algorithms. The cycle rewards provocation and clarity over nuance, embedding performative outrage into everyday interaction.
Tactful prompts to ask for budget without being awkward.
On Instagram, creators can now add up to 30 items per Reel through affiliate links or brand catalogs, while Facebook displays clickable purchase banners on posts and videos.
Designed as a TikTok-style feed powered by its Sora 2 model, it drew early hype but quickly lost traction as downloads declined.
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Apple is testing a standalone app for Siri and an 'Ask Siri' feature that will work across the company's software. Apple has been working to transform Siri from a traditional voice assistant to a systemwide AI agent with deep integration across platforms. The updated Siri will have better control features within Apple systems and be able to interact with users in a conversational format through text and voice. It is slated to be unveiled at Apple's WWDC on June 8 as part of iOS 27 and macOS 27.
OpenAI has pulled the plug on its Sora video platform. The move is one of a number of steps the company is taking to refocus its business ahead of a potential initial public offering. OpenAI is redirecting its computing resources and top talent toward productivity tools that can be used by both enterprises and individual users. It plans to consolidate its products into one superapp to align its employees around a single vision.
Replicating the output of a single large terrestrial data center would require hundreds of satellites. Building things in space is enormously expensive. While there are advantages to putting data centers in space, such as the abundant energy provided by the Sun, the high costs make such a venture likely unviable. There may also be other impacts of putting data centers into space, such as crowding out the night sky, which would impact astronomers and other space-based ventures.
Amazon has acquired Fauna Robotics, a startup that builds 'approachable' humanoid robots. Fauna was founded in 2024 by former Meta and Google engineers. It launched a bipedal robot earlier this year called Sprout and had signed up Disney and Boston Dynamics as early customers. The purchase of Fauna puts Amazon into the increasingly crowded humanoid robot market.
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Google's Director of AI, Dr. Ali Arsanjani, and Datadog's VP of Engineering, Sajid Mehmood, met with Datadog to discuss the current/future states of AI, ML, and LLMs on Google Cloud. This guide distills their top 7 insights [9] and actions for technical leaders – from upskilling teams to observability best practices. Download
Auto mode for Claude Code is an alternative to --dangerously-skip-permissions. It allows Claude to make permission decisions autonomously. A separate classifier model reviews conversations before each action runs to see whether actions match intent. It blocks actions that escalate beyond the task scope or seem otherwise unsafe. Auto mode ships with an extensive set of default filters, and users can customize them further with their own rules.
The capabilities of agents are unquestionably valuable, but sometimes an MCP server is a better fit. A harness is not a moat - context is your advantage. Set up observability and evaluation from day one, as understanding user experience is critical to building a successful agent. It doesn't matter how 'cool' your capabilities are, as solving customer problems is the goal. Building an agent is a product engineering problem that requires talking to users, shipping features they want, and iteration.
Meta has decided to shut down its Metaverse project, which the company reportedly spent $80 billion on. The company's vision of people wearing devices on their faces all the time is unlikely to be realized. People care too much about what they look like, and there is too much social stigma against being recorded without permission. There are already hundreds of millions of people in metaverses that don't require a headset to access.
Agency is the ability to hold the entire development loop in your head and act on it. A high-agency person can move through the whole sequence without waiting for someone else to hand them the next step. Agency is what you call it when one person can cover the full distance. What matters is that the whole thing exists in a user's hands, and that it was driven there quickly by one person's judgment.
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Andrew Bosworth will oversee Meta's 'AI For Work' initiative to help drive AI adoption across the company's 78,000-person workforce.
Be conservative in the software you use, but be freely innovative in how you use it.
It is unknown what the terms of agreement are, but if Arm gets even 5% of Meta's up to $135 billion of capital expenditures slated for this year, it will be a game-changer for its top line.
AI could create a shortage of engineers who can possibly understand codebases.
Ossature is an open-source harness for spec-driven code generation.
Gridland enables developers to build terminal apps that run in the browser.
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Anthropic released Auto Mode in research preview, enabling Claude to autonomously execute actions with built-in safeguards that filter risky behavior and prompt injection.
OpenAI shifted away from its in-chat checkout feature after low adoption, prioritizing product discovery and merchant-directed purchasing flows instead.
Anthropic's Prithvi Rajasekaran developed a multi-agent architecture to improve AI-driven frontend design and full-stack application coding, addressing issues of coherence and self-evaluation. Inspired by GANs, this approach uses planner, generator, and evaluator agents to produce complex, high-quality outputs by decomposing tasks and utilizing structured handoffs. Despite improvements, challenges remain in context management and evaluator tuning, highlighting the ongoing need for adapting harness designs as AI models advance.
The App Store was a centralized answer to the distribution problem of a new computing platform. The agent era will need a new solution as agents need APIs, not app stores. Apple gained its revenue by forcing every in-app transaction through its payment system. The agent era lacks Apple's lock-in mechanics, so if one platform tries to charge high payment fees, users will just switch to a competitor. This suggests the payment layer will be competitive and low-margin rather than monopolistic.
As of March, Claude 4.6 features a 1M token context window and four distinct modes: Chat, Cowork, Code, and Projects. The Cowork suite automates workflows via Scheduled Tasks and Connectors, while the Code environment utilizes CLAUDE.md hierarchy, MCP protocols, and Agent Teams for autonomous development. Key upgrades include Computer Use research previews and deterministic Hooks for programmable guardrails.
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Many of the modern workloads that LLMs are increasingly utilized for prioritize throughput over per-request latency, which many LLM systems and deployments optimize for today. Ray Data LLM is a library built for large-scale batch inference for LLMs. It provides scalable execution, high throughput, and fault tolerance. It has a highly optimized architecture for running LLM batch inference. Users can achieve 2x throughput with Ray Data LLM over vLLM's synchronous LLM engine while benefiting from production-scale resiliency.
Ossature is an open-source harness for spec-driven code generation. Developers write specifications describing what their software should do, and Ossature validates them, has an LLM audit them for ambiguities and gaps, produces an editable plan, and then generates code one task at a time. Each task only gets the context it needs. Ossature has verification built into the build loop. If verification fails, a fixer agent gets the error output and tries to repair the code.
Directional updates in RLVR were shown to better identify reasoning-critical tokens, enabling both test-time extrapolation and training-time reweighting to boost accuracy.
TurboQuant is a quantization method that reduces vector memory overhead while preserving performance. This improves key-value cache efficiency and accelerates vector search.
Semantic calibration appears to emerge as a byproduct of next-token prediction. Base models are remarkably well-calibrated when using a certain sampling-based notion of semantic calibration. They can meaningfully assess confidence in open-domain question-answering tasks despite not being explicitly trained to do so.
OpenAI has announced a new $10 billion commitment from a16z, DE Shaw Ventures, MGX, TPG, and T Rowe Price. The fresh capital brings OpenAI's record fundraise to over $120 billion. OpenAI has moderated its spending plans and is now targeting approximately $600 billion in total compute spend through 2030. It is now taking steps to prioritize its most profitable initiatives ahead of an IPO.