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Your best newsletter material is already sitting in the calls you take every week. In this free webinar, Will Leatherman will walk through his Claude Code system to mine sales calls and write newsletters in your voice. It takes place on August 25 at 9 AM PT.
YouTube is reportedly offering top creators millions in financing and brand revenue to stay exclusive. Creators who partner with Netflix could lose YouTube marketing support, events, and brand deals. The move shows how platforms are competing for creator exclusivity. It could also fragment creator content across platforms and force audiences to follow creators across multiple services.
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 [13]!
Brands can be widely known without being relevant to the audiences they want to reach. This piece introduces an audience mapping approach that analyzes who people follow and how those interests overlap, revealing the cultural spaces a brand occupies, or misses. The goal isn't to be everywhere, but to find the communities and cultural worlds where the brand can meaningfully belong. Brands can then build a more distinctive position instead of pursuing broad appeal that resonates with no one.
Dennis Wang, lululemon's former VP of Accessories Design, built its accessories business from scratch to over $1B. His CPR framework treats hit products as engineered outcomes, starting with a clear Customer, solving a real friction with the Product, and building Relevancy into the experience. He favors community and partnerships over transactional influencer campaigns.
Lucky Parlor's branding team started with strategy, not aesthetics. They defined the brand's positioning before designing anything. The identity then centered on distinctive memory hooks, including a gyoza mark, custom lettering, colors, and illustrations. The flexible system helped the brand stay recognizable across different touchpoints as it scaled.
A 3,200-year-old pottery tradition may be one of the earliest examples of branding.
Marketing roles are shifting toward AI-fluent generalists as job postings fall and AI mentions nearly double to 15%.
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Anthropic is preparing to file for its potential mega-IPO as soon as the end of this month. It is expecting to match or beat the size of SpaceX's record-setting debut. Ahead of the IPO, Anthropic is set to finalize a revolving credit facility that will raise more than its roughly $10 billion target. The AI lab is considering adopting super-voting shares that would give its co-founders greater control over the company.
Slack Code adds project-specific channels where teams and AI agents write, review, and ship software together. The work happens inside the chat app rather than in a separate browser tab. Users tag a coding agent from any conversation, and it spins up a dedicated code channel that automatically archives itself after tasks end. Everyone in the channel can follow the work. Slack Code is now available in any Slack plan.
Elon Musk predicts that SpaceX will likely be able to catch the Starship upper stage with its launch tower arms in a few months. The first reflight of a Starship vehicle is expected by the end of 2026 or early 2027. Catching the upper stage of Starship would mark a major milestone as it allows both stages to return directly to the launch site for quick refurbishment and reuse. Musk has long said that true reusability is essential for making humanity a multi-planetary species.
A crowdsourced project called Robotaxi Tracker noted that all 170 rides by Tesla's robotaxi service in Austin logged over the past fortnight didn't have a human safety monitor on board. Tesla doesn't publish fleet data and usually doesn't answer press questions, so the crowdsourced data is one of the few sources of information available. The expansion of completely driverless robotaxi vehicles is not confined to Austin. Roughly 30 driverless Teslas have been spotted running in Dallas and Houston over the past week.
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AI work gets expensive fast, especially when models burn tokens rebuilding context from fragmented systems. Glean skips that tax with enterprise context and intelligent retrieval built in — see how it stacks up against Claude Cowork [9], where it averaged $0.45 per task vs. $1.84, a 4x cost gap that adds up fast.
The problem with Python's stdlib is its uneven quality. However, that's actually Python's core advantage - it makes functionality available early. Rust still doesn't have an API to get a stream of random bytes from the OS. This is possibly because, while it is an easy technical problem, it requires tricky organizational architecture, and the Rust team's capacity to execute design decisions is limited.
Junior engineers still add capacity to an organization. The work of an engineer is to solve a customer problem with software while managing the technical complexity that exists in deciding how to. Staff engineers manage a lot of complexity, and junior engineers manage a little complexity, but the role is the same. Technical decision-making is still important, and junior engineers add to it, enabling organizations to do more.
The rapid rise of Chinese AI models has sparked a host of questions about how these labs get so far so fast. However, the careers of the founders of two of the biggest Chinese labs show that China's AI push is nothing sudden. Tang Jie, who founded Z.AI, has been working on machine learning for about a quarter of a century. Yang Zhilin, who leads Moonshot AI, was Tang's former student.
Intelligence services were never limited by what they could steal, but what they could read. Reading was the expensive part, so collection had to be selective. Every company that told itself it was too boring to be a target was relying on a foreign analyst's workload. AI removes this constraint. Closed source only removes your ability to see your exposure - it doesn't remove it.
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Codebase context and real-time validation, right in your agent dev tools. That's Sonar Vortex.
Physicists have come up with a whole new way of defining what it means to be a fluid.
China's robot traffic police can direct cars, scold jaywalkers, and give lost tourists directions, but they aren't able to stop people, a limitation written into their design.
Waymo's first custom silicon, built on TSMC's 5 nm process tech, is designed to convert raw sensor data into driver responses as quickly as possible.
Apple's resources are increasingly moving toward AI-powered smart glasses.
GitHub is optimizing for cheap dirty experiments and serious long-lived projects, workloads that both want opposite things.
FSD v15 will be the third version in a row pitched as the one that finally gets there.
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New data from DX's State of AI in Engineering: Q2 Report shows PR throughput increased 37% over four quarters, yet PR size nearly doubled in the same window. More code is moving through the pipeline, but does that translate to more delivered value? DX analyzed data from 500+ engineering organizations to track how AI adoption, spend, and output are shifting quarter over quarter. Hear DX's Distinguished Scientist and Deputy CTO break down the findings and what they mean for engineering leaders.
Anthropic's Project Parka is a Mac-first feature that can capture system and microphone audio, stream speaker-attributed transcripts, and create runnable work for Claude's agents. The feature could allow users to turn meetings into full implementation prompts. It is unclear whether Claude will start actions automatically or if it waits for user approval.
ChatGPT's latest update lets users work with conversations from Apple's Messages app. The feature works with iMessage, SMS, and RCS. It is available across all plans in the ChatGPT desktop app for macOS. There are privacy and control risks with giving ChatGPT such access, so users should take care before granting persistent approval.
Slack Code introduces code channels to facilitate collaborative software development with AI agents. This feature allows teams to plan, write, and review together with integrated tools from partners like GitHub, Anthropic, and Vercel, creating a seamless workflow without the need for isolated tabs. Engineers can monitor code diffs and live previews directly in Slack, enhancing transparency and speeding up the development process.
Mistral's Agentic Search gives a model five operations—search, open, navigate, read, and grep—so it can inspect long documents, follow references, and verify an answer instead of accepting the first retrieved chunks. In Mistral's tests, the loop raised FinanceBench correctness from 26.7% to 86% and reduced tail latency, while a different harness moved the same model another 10.5 percentage points. The measurements are detailed but vendor-run.
The KV cache is a per-request store of attention keys and values that lets models avoid recomputing them at every decoding step. It grows linearly with sequence length, and at long contexts, it eats more GPU memory than the model weights themselves, so it's a scarce resource. KV cache wastes a lot of memory by default. This article talks about how PagedAttention implements the idea of virtual memory in a way that attention kernels can still work with.
Harvey post-trained a Kimi K3 base with asynchronous reinforcement learning in realistic long-horizon legal environments, then trained separate capabilities for diligence, review tables, and firm knowledge that the main system can route to as tools or subagents. The decision-changing idea is that a professional-service model can improve by learning the workflow and harness—not merely by ingesting more legal text—but every reported result is vendor-authored and task-specific.
Melanie Mitchell argues AI's intelligence differs fundamentally from human reasoning, classifying it as "alien intelligence." She suggests adapting psychological methods used on infants and animals to better evaluate AI cognition. Mitchell proposes six principles to refine AI assessment, emphasizing the need for robust experimental design and cautioning against anthropomorphism.
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Your dev teams are burning through token budgets like they're chasing a high score. AMD Instinct™ Coder [14], powered by Spectro Cloud, routes inference to open models on local hardware for 70% savings vs
Ox Alpha is a reasoning model designed for coding, sustained agentic work, and production workloads. It is suited for long-horizon software engineering, complex reasoning, and workflows that combine text with visual context. Ox Alpha is developed and operated by a provider who has chosen to remain anonymous. OpenRouter routes requests to it and is not its developer, owner, or provider.
Harness-Aware Training is a post-training recipe rather than a new model architecture. TaoLive varies skill names and wording, tool schemas, prompt structure, and hook behavior during supervised fine-tuning and agentic reinforcement learning, teaching a compact 35B model to interpret the harness it currently receives instead of memorizing one fixed interface. It is useful post-training work, but the evaluation is vendor-authored, concentrated in live commerce, and not sufficiently groundbreaking for engineering and research.
This interactive guide explores data parallelism, FSDP, tensor parallelism, pipeline parallelism, and expert parallelism for training transformers. It focuses on how different hardware and communication patterns determine when each strategy becomes bottlenecked.
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 [20]!
Google added Antigravity to eligible Gemini Enterprise subscriptions and released extensions for VS Code, Visual Studio, JetBrains, and Zed. Developers can use the same agent workspace across these editors, while administrators can set sandbox, tool-permission, budget, identity, and audit controls.
Anthropic is turning four previously separate agent ingredients—computer use, browser access, versioned skills, and reusable files—into one production-building surface. The useful change is operational: a team can upload a procedure once, pin a version, reuse file IDs across requests, and reduce repeated browser round trips. Anthropic's same-day announcement says these capabilities are generally available, while older cached documentation still labels parts of the stack beta, so availability should be read from the dated announcement and verified per account.
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Algolia tested 24 leading LLMs on real AI agent tasks. Find the right LLM for your ecommerce search that delivers the best quality, speed
As part of the deal, 109 Poolside employees are getting offers to leave the startup to join Nvidia.
Micron announced a $10 billion, decade-long investment in a Boise research lab focused on memory technologies and compute systems.