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Meta's Watermelon Matches GPT-5.5 Benchmarks (3 minute read)
Meta's superintelligence chief, Alexandr Wang, says that the company's upcoming model has caught up with OpenAI's GPT-5.5 on closely followed AI benchmarks. Codenamed Watermelon, the model is still in training. The model reportedly uses an order of magnitude more compute than Muse Spark. Meta has not given a timeline for Watermelon.
Jun 12 | Blog
I Tried to Build a Context Layer for My Agent in a Weekend. Reader, I Did Not Build a Context Layer for My Agent in a Weekend.
A "simple" weekend project turns into real infrastructure, and why agent context deserves a boring, reliable foundation.
SponsoredJul 03 | Tech
Model Y Long Wheelbase (3 minute read)
The Model Y Long Wheelbase is now available in the US and Puerto Rico. The 3-row, 6-seat configuration has ample headroom and legroom for all passengers. The trunk fits a 28" and a 20" suitcase each, and the frunk can hold an additional 20" suitcase. More details about the wheelbase, along with pictures and videos of the vehicle, are available in the post.
Jul 03 | Design
This iconic iPhone design will get closer to retirement with iPhone 18 Pro (1 minute read)
Apple is expected to shrink the iPhone 18 Pro's Dynamic Island by around 35%, giving users more usable screen space and marking another step toward a future all-screen iPhone. The change, hinted at by iOS 27's Siri AI interface, would be the first major reduction in the display cutout since the Dynamic Island debuted on the iPhone 14 Pro. Apple is also rumored to bring a smaller Dynamic Island to the MacBook Ultra and next year's iPhone 18e as it gradually works to eliminate display cutouts altogether.
Jul 03 | Founders
Are AI Employees More Expensive Than Humans? (8 minute read)
Token prices fell from $60 per million to $0.60 in three years, and AI bills still exploded. A four-person startup ran up a $113,000 monthly bill from a single provider. Uber torched its entire 2026 AI budget in four months. Consumption is the reason. An agent re-reads context and checks its own work, burning 60 to 140 times the tokens of one reply. Track cost per completed task, not per seat, and keep the model layer swappable, because cheaper tokens do not mean a cheaper bill.









































































































































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