The curated AI read for founders whobuild what’s next.

The decision · If your company builds physical AI products, from warehouse robotics to autonomous vehicles, evaluate your world model strategy within 90 days. The talent pool for this technology just thinned by three senior researchers and $90 million of capital. Veeda's lineage from Nvidia's world model program is unique, but lineage is not a product. Decide whether to build your own world model, buy access to one, or partner with a startup that has the talent and the compute to build it for you. The incumbents are not standing still, and the window to choose narrows every quarter.

The decision · If you hold Marvell or are considering a position, watch the August 27 earnings call for two signals: whether management raises interconnect guidance above 70 percent year-over-year growth, and whether it provides a Google revenue ramp timeline. The $12.2B warrant is a seven-year statement about where Marvell expects to sit in the custom silicon market, but the stock at 54x forward earnings is priced on that future, not on today's revenue. Make the call after the guidance, not before it.

The decision · If you are planning inference capacity for 2027 and running transformer-based workloads, evaluate Etched's Sohu against your current GPU deployment within the next 60 days. The pricing signal from Jane Street is not just an investment. It is a customer procurement decision made by one of the most sophisticated quantitative trading firms in the world. If your inference spend exceeds $5 million annually on transformer models, request a Sohu benchmark against your current stack and model mix. The window for early adopter pricing and rack allocation will narrow as Etched scales from its current $1 billion in booked orders.

The decision · If you run inference workloads on third-party cloud infrastructure, evaluate Groq as a secondary provider within 30 days. The company has $1 billion in fresh capital and NVIDIA's backing. Its financials are unverified, and the neocloud sector's unit economics remain unproven. Diversifying your inference supply chain now costs less than lock-in when pricing shifts.

The decision · Re-check which models your coding tools use by end of August, because Cursor now has a reason to put Grok first and every rival is racing to match the price. If your team builds on Cursor, test Grok 4.6 against your own code now, and ask in writing whether model choice stays open. The next price war starts this quarter, and it decides the cost of building software for the rest of 2026.

The decision · Re-baseline your model stack by end of September. Run your real workloads against DeepSeek V4 Flash, GLM-5.2, and Qwen 3.6 Max, and measure cost per completed task, because sticker price and total cost have split apart. Route repetitive high-volume calls to the cheapest model that passes your tests, and keep a US flagship for the reasoning tasks where it finishes in fewer tokens. The routing decision is now a monthly operating cost, and it compounds every quarter.

The decision · If you buy model capacity at enterprise scale, renegotiate your contract before September 1. OpenAI cut prices while its run rate passed $40 billion, and Anthropic is taking meetings. If you hold private shares in either company, set your exit price before the first listing. The first public price decides the mark, and it prints before year-end.

The decision · If you publish written content at volume, decide by September 1 whether your workflow can survive provenance checks, because detection is shipping into the default experience. Audit how much of your published text is model-generated, and set a written threshold for what publishes as-is versus what gets rewritten. If you build a writing tool, plan for provenance labeling as a standard feature by Q4 2026, because Substack and Quora already ship detection and the gap between labeled and unlabeled platforms is becoming the competitive difference. I have not seen a single public test of the watermark failing on a real false positive. The edge nobody has probed: when a genuinely human draft gets flagged as machine-written, does the system hold?