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Model Y Long Wheelbase (3 minute read)

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.
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.
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.

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Meta's Watermelon Matches GPT-5.5 Benchmarks (3 minute read)
Jul 03 | AI

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.
New CitrixBleed Vulnerability Exploited Immediately After Public Disclosure (2 minute read)
Jul 03 | Infosec

New CitrixBleed Vulnerability Exploited Immediately After Public Disclosure (2 minute read)

Threat actors started exploiting NetScaler CVE-2026-8451 within a day of public disclosure, using payloads that trigger an out-of-bounds read in the SAML IDP XML parser and leak memory via the NSC_TASS cookie.
Are AI Employees More Expensive Than Humans? (8 minute read)
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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