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WHICH MARKETING METRIC SHOULD YOU ACTUALLY TRUST?

Stop looking for one measurement source of truth and instead assign each method a specific decision. MMM should guide strategic budget allocation, incrementality should test whether campaigns create causal lift, and attribution and platform data should support day-to-day optimization. Conflicting results should trigger investigation rather than averaging the numbers, since gaps can reveal flawed assumptions or show that a channel captures existing demand rather than creates new demand. The strongest approach creates a feedback loop where MMM identifies opportunities, experiments test them, and the resulting evidence improves future planning and execution.

SEO IS THE NEW CLEANUP CREW FOR ORGANIZATIONAL DYSFUNCTION

SEO teams often become the cleanup crew for problems across the business, from technical debt to unclear messaging and poor customer feedback. Their cross-functional view helps expose these issues, but repeatedly fixing them creates dependency instead of solving the root cause. Recurring problems should move to the teams that own them, with processes that prevent them from returning. The real measure is what stops breaking, not how many issues SEO fixes.

SHOULD YOU BUILD YOUR OWN AUDIENCE STACK IN THE AI ERA?

AI has made it much easier to build audience-platform features, but it hasn't eliminated the complexity of running them reliably. Building in-house still means maintaining integrations, sender reputation, and compliance over time. The decision should depend on whether a company has the resources to support the system long term, not just whether it can build the software cheaply. For many publishers, buying the infrastructure may still make more sense.

MBA METRICS FOR SEO: HOW TO SPEAK LEADERSHIP'S LANGUAGE

Leadership doesn't distrust SEO - it distrusts metrics reported in a language it was never trained to read. Rankings and traffic clicks mean nothing to a team that judges channels by market share and ROI, so the fix is translating SEO into those same terms. Share of Voice stands in for market share, organic traffic value stands in for revenue growth, and branded search volume stands in for brand demand. Reported this way, SEO stops being a marketing activity that needs defending and starts reading like a business one.

5 VISUAL HOOK IDEAS

Visual hooks in the first 3 seconds can stop the scroll.

6 BOOKS EVERY BURNED-OUT MARKETER SHOULD READ

The list includes “The Good Enough Job” by Simone Stolzoff, “How to Do Nothing” by Jenny Odell, and “Stolen Focus” by Johann Hari.

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APPLE GEARS UP TO LAUNCH ITS FIRST NEW MAC MINI IN TWO YEARS

Apple's first new Mac mini in almost two years will debut as soon as the next few days. The upgrade follows a surge in demand for the current Mac mini, which has become popular for running AI applications locally. It is part of a wave of new products Apple plans to release in the second half of this year. Apple is set to hold an event on September 9 where it will introduce its first foldable smartphone, as well as the iPhone 18 Pro line. The company is also preparing a range of new Apple Watches and fresh AirPods.

TESLA CONFIRMS CYBERCAB LAUNCH COMING NEXT WEEK

Tesla is holding an invite-only event to launch the Cybercab in Austin on September 3. The invitations are going to the riders who logged the most Robotaxi trips and winners of a draw. Estimates currently put Tesla's active unsupervised fleet at roughly 20 to 30 vehicles. Tesla claims to have driven about 380,000 cumulative unsupervised miles as of its July earnings call.

DATA CENTERS BECOME “KILLER APPLICATION” FOR NEW POWER TRANSFORMER TECH

The AI data center boom has accelerated investment into solid-state power transformers. This technology relies on high-frequency semiconductor switching to perform voltage conversions and can be mass-manufactured using semiconductor materials such as silicon carbide. Solid-state power transformers are physically smaller and lighter than conventional transformers and have modular designs that enable easy upgrades and replacements of parts. They can directly convert AC power from a local grid's distribution network into the DC power that data centers require.

APPROACHING ROBOTICS HARDWARE TAKEOFF

The World Humanoid Games in Beijing showed how much has changed since last year. The robots are faster, more intelligent, and more capable. The rapid pace of robotic hardware and software innovation is enabling a robust ecosystem that can both build things and isn't afraid to break them. There is now a massive number of companies producing a truly amazing number of robots.

HOW UBER BUILT A SOFTWARE FACTORY FOR AGENTIC CODING: THE MCP GATEWAY AND THE PLATFORM UNDERNEATH

More than 70% of pull requests at Uber are now written by AI agents. Code shipped per engineer has doubled in a year. This was enabled through a software factory that runs on a platform that Uber built. The platform gives agents the pieces they need to work safely across thousands of engineers. This post looks at how the factory was built. It covers what MCP gateways are and why they are needed for agentic coding at scale, workflows, and more.

THE STATE MACHINE NOBODY DESIGNED

Every part of an agent harness adds information to the model's context, controls what information is allowed into that context, or checks the model's output after it is generated. This is just context engineering. Thinking in terms of harnesses makes developers think in terms of adding components. Context is limited, so it's not just about what you can add, but about what's worth keeping as well. The context window is the whole state machine.

THE BIGGEST DOGS IN STREAMING WANT YOU TO USE ONLY THEIR APP

YouTube and Roku are racing to become one-stop shops for all of the content people watch on their TVs. Some paying YouTube subscribers will soon have access to content from Peacock as part of a recent deal between the two companies. The streaming wars have now morphed into a bundling war. The biggest streaming companies no longer just want to have the most subscribers - they also want to be the main entry point to everything streaming has to offer.

HOW UNIVERSITIES SHOULD PREPARE FOUNDERS

Universities tend to resist the idea of keeping students less busy with coursework, partly because educators feel they have to take active measures to achieve something. However, student founders should be left alone to their own projects, partly because they will be more excited to work on a project that's entirely their own, and because many projects wouldn't survive official recognition. It seems excessive to change the whole schedule of a university just to encourage would-be founders, but giving students some of their time back would help all of the most energetic and ambitious ones. They'd have time to explore new things if the pressure of work were relieved for even a week or two.

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YOUR EXECUTABLE IS A SQLITE DATABASE

This post explores whether it is possible to replace ELF with SQLite as an executable format.

THE AMERICAN PEOPLE REALLY HATE DATA CENTERS

75% oppose local data center development, despite the economic benefits.

THE HARNESS IS THE COMPANY

Leaders should work on building an organization where great people can do their best work, and then use AI to multiply that.

GOOD CULTURE IS THE BIGGEST PRODUCTIVITY HACK, NOT AI

Making employees worry about their jobs breaks a good culture as it totally decreases psychological safety.

STARLINK'S INTERESTING APPROACH TO CELLULAR

StarLink plans to enter the terrestrial cellular business by building a large number of cell sites provisioned with satellite backhaul.

AI'S NEXT BIG LEAP IS INTO THE REAL WORLD

Doing real physical work requires world models, aka 'large action models'.

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NVIDIA ENTERS FULL PRODUCTION OF GROQ 3 LPX AI INFERENCE ACCELERATOR CHIPS, SUPERCHARGING VERA RUBIN WITH THE FASTEST TOKEN GENERATION SPEEDS EVER RECORDED

NVIDIA's Groq 3 LPX AI inference accelerator chip is now in full production. The Groq 3 LPX racks are an extension of the NVIDIA Vera Rubin platform. They deliver boosted AI inference capabilities that enable ultra-fast token generation for response-sensitive agentic workloads. Groq 3 LPX enables agentic AI tasks to be done within minutes versus hours. It offers a 4x boost in response times versus the nearest alternative platform.

ANONYMOUS OX ALPHA PROCESSES 26T TOKENS ON OPENCODE, BREAKS OPENROUTER LAUNCH RECORD

OpenCode users processed 26 trillion tokens through Ox Alpha during the model's first four days. The anonymous AI model recorded 327,000 unique users and 8,328,244 completed sessions. It is currently available for free through an OpenAI-compatible endpoint, making it easy for developers to substitute the model into existing workflows. OpenCode's model page doesn't list Ox Alpha's maker, its release date, knowledge-cutoff date, or output-limit metadata.

HOT CHIPS 2026: CUDA TARGETS RISC-V

Nvidia is looking to extend CUDA support to RISC-V. This will open the door for RISC-V CPUs to feed GPU compute. RISC-V's software ecosystem has some distance to go before catching up to x86-64 and aarch64. While Nvidia's effort to bring CUDA into the RISC-V world is a promising development, the vast majority of existing RISC-V hardware won't meet Nvidia's requirements.

LLMS COULD CONTROL THEIR HOST MACHINES BY EXPLOITING INFERENCE ENGINES

Host machines running AI models are high-value targets: they have sufficient compute to run a frontier LLM, offer easy access to the LLM's weights, and have privileged access to other computers in the datacenter compared with a generic computer on the Internet. Research shows that LLMs can run token sequences that exploit vulnerabilities in the software that loads an LLM onto GPUs. This attack surface may be further increased with vision and audio tokens. Possible mitigations for this type of attack would be to run GPUs and token parsers on separate computers and to restrict the permissions granted to GPU hosts and treat all the data they emit as untrusted.

THE ECONOMICS OF THE INTELLIGENCE FRONTIER

AI tasks become commodities once models exceed their maximum necessary intelligence, shifting competition toward cost, latency, infrastructure, and distribution. Frontier labs can still become enormous businesses if new capability creates valuable markets faster than competitors reproduce and commoditize those advances.

Enter the arena →

SPECULATIVE PROGRAMMATIC TOOL CALLING

Speculative Programmatic Tool Calling (sPTC) optimizes recursive language models by pre-launching tool calls during token generation, reducing latency from high-latency tools and context generation. This method acts like a JIT compiler, allowing parallel execution of non-blocking tool calls, providing a 1-1.2x runtime speed-up. sPTC is particularly useful in memory-bound local LLMs and high-volume serving systems by overlapping computation with execution time, offering significant performance improvements for intricate program executions within harnesses like RLMs.

GRAPH ENGINEERING

A curated collection of papers, benchmarks, and open-source projects exploring how dynamic graph structures can organize tasks, coordinate agents, track runtime state, and support the evolution of multi-agent systems.

ROME

Runs persistent AI agents, workflows, and apps inside a guardrailed collaboration environment.

GTM ENGINEER, APPLIED AI AT TLDR ($175-205K BASE + $40-60K BONUS, FULLY REMOTE)

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 [16]!

WHEN CODE IS ABUNDANT

Large language models are transforming software development by making code generation faster and cheaper, shifting the primary challenge from creating code to trusting and verifying it. Advanced engineering organizations like Stripe, Spotify, and Amplitude have started integrating AI-generated code into production, emphasizing the need for robust governance, context, and verification systems.

THE AI BULLWHIP

The AI infrastructure faced a series of bottlenecks from GPU scarcity to storage issues, leading to increased costs across the supply chain. As demand for AI components surged, GPU prices spiked, server shipments declined, and memory manufacturers shifted focus to High Bandwidth Memory. This mismatch of supply and demand caused inflated hardware prices and higher data center construction costs, highlighting a classic Bullwhip Effect.

→ Intelligent, secure IT for the agentic era.

ALIBABA LAUNCHES WAN3.0 AI VIDEO MODEL AFTER RECORD $10 BILLION SHARE SALE

Wan3.0 is an AI model that can generate 30-second videos from text and data.

ANTHROPIC HIRES GOOGLE TPU VETERAN AMIR SALEK FOR ITS OWN CHIP PUSH

Amir Salek was the engineer who founded Google's custom-chip program and ran its Tensor Processing Unit business.

GOODFIRE LAUNCHES $1M RESEARCH GRANT PROGRAM FOR AI INTERPRETABILITY

Goodfire has announced a $1M research grant program that will provide free access to Silico, its frontier AI research and interpretability platform.

CRYPTO HOLDS BIG WEEKLY RALLY AS WARSH'S JACKSON HOLE DEBUT COMES INTO FOCUS

Bitcoin held above $77,000 after a 21% weekly gain, with XRP posting a 46% advance over the same period, as crypto markets diverged from Asian equities where Samsung and Alibaba led regional index declines. The rally was catalyzed by US Treasury liquidity interventions and an SEC crypto regulatory proposal introduced the prior week. Traders are watching Federal Reserve Chair Kevin Warsh's debut at the Jackson Hole economic symposium for rate signals that could shift risk-asset positioning.

CIRCLE'S GROWTH CYCLE CAN CONTINUE WITHOUT THE CLARITY ACT

Bernstein reiterated Outperform and a $140 price target (59% upside from Friday's $87.98 close) after USDC supply added $1.7 billion in a week following nearly six months of sideways decline. Analysts argue Circle's growth is independent of Clarity Act passage, driven instead by a macro regime shift favoring stablecoins, tokenization, and stablecoin payment adoption. Circle holds ~80% of DEX trading/finance volume, and its Agent Stack (launched May) now hosts 900+ paid services with 99% of x402 agent-payment volume settling in USDC.

GEMINI TO PROVIDE CRYPTO PREDICTION MARKETS VENUE FOR APEX BROKERAGE

Gemini and Apex Fintech Solutions signed a letter of intent making Gemini Titan the exclusive regulated venue for crypto event contracts distributed through Apex's brokerage clients, with potential expansion into sports, economics, and financial-market contracts. Gemini's Q2 2026 results show 225 million+ event contracts traded on Titan across 27,000+ cumulative traders, still dwarfed by Kalshi and Polymarket's tens of billions in monthly volume.

CIRCLE TARGETS SEPT. 16 FOR ARC PUBLIC MAINNET LAUNCH

Circle has set September 16 as the public mainnet launch for Arc, a permissioned proof-of-authority blockchain where block production stays restricted to authorized validators even as the network opens to public users and developers. The founding validator cohort consists of Circle and 11 institutions including BlackRock, DTCC, Mastercard, Standard Chartered, and Visa, with documentation indicating around 20 validators total at launch. Arc's public testnet recorded 671.5 million transactions across close to 3 million wallets, and over 100 partners have activated on private mainnet, with Uniswap committing to day-one deployment. The chain settles transaction fees in USDC and maintains EVM compatibility, anchoring it within Circle's stablecoin infrastructure and the broader Ethereum application ecosystem.

A SECOND AND FINAL EULOGY FOR BITCOIN MAXIMALISM

There is a structural parallel between Bitcoin maximalism and 19th-century Millerism: both movements sustain failed predictions through unfalsifiable contingencies ("not yet," "too early") rather than updating their core beliefs after disproof. Bitcoin trades at all-time highs with broad institutional custody and government recognition, but circulates as a regulated store-of-value asset rather than the sovereign payment system maximalists predicted, with Lightning Network failing to achieve mass adoption. The ideology's core contradiction is that Bitcoin's success vindicates a store-of-value thesis maximalists explicitly rejected, while the institutional custody and government recognition they condemned are the developments that drove price appreciation. The ideological death is now irreversible as key proponents age out or abandon the anti-custodian, hyperbitcoinization framework that defined the movement.