a16z on Netflix and the 26-hour attention ceiling, Warhound's $200M bet on gene-edited working dogs, MIT's Claude agents invent play on a desert island, the rise of the supervisory engineer, and Anthropic's Git exit draws a ripoff claim
Hello, dear TEA-mates! Here is what you need to know today.
1. 📺 a16z: Netflix Is Running Into a 26-Hour Attention Ceiling
In its weekly Charts newsletter, a16z asks whether Netflix is having its "Blockbuster moment." Netflix's topline growth has slowed to just under 12%, the lowest since its supposed peak in 2021 and 2022, as it competes with other streamers and, even more, with short-form video like Reels, TikTok, and Shorts (Netflix is now building shorts of its own, alongside live sports). A bigger problem hits all content: BCG data shows US weekly media consumption tops out at about 26 hours and has been in moderate decline since peak lockdown, so fighting for attention is now a zero-sum game, and a lot of recent growth comes from "background" viewing and listening. The same issue finds that every GPU model in Ornn Data's index, including older A100s, costs more to rent than at the start of the year, with prices 9% to 143% above a straight-line six-year depreciation curve. (Read More)
🫖 TEA For Thought: "Netflix might really be having its Blockbuster moment. In fact, when was the last time you finished a whole season of a show, or started the second season of the same show and watched it from beginning to end?"
2. 🐕 Warhound Raises $200M to Engineer Working Dogs for the Military
Colossal Biosciences' Ben Lamm and Anduril's Palmer Luckey brought Warhound out of stealth on Thursday with $200 million from Sequoia, 8VC, Corner Ventures, and In-Q-Tel (the CIA-backed venture firm), at a $1.2 billion valuation. The company plans to genetically engineer dogs for bomb detection, searches, and other dangerous work, noting that more than 80% of US military working dogs come from Europe and fewer than half are fit for service. Using cell lines from top Belgian Malinois and German Shepherds, the team will edit genes for health, longevity, speed, agility, and sense of smell. Anduril will supply gear like vests and goggles with data sensors that report back to handlers. Colossal-owned Viagen will do the cloning: the first batch is about to be cloned, with births expected early next year and service ideally within two years. The American Humane Society will help certify the training program. (Read More)
🫖 TEA For Thought: "Isn't this super cool, lol? Not Iron Man, but Iron Dog."
3. 🏝️ Left Alone on a Virtual Island, Claude Agents Started Playing
MIT researchers put 13 AI agents called Eko, each running on Claude Opus 4.7, alone on a simulated desert island for 30 hours with no assigned task, according to a paper posted on arXiv. The agents invented their own challenges. One failed to climb the tallest spire, then hauled a rock up a neighboring summit, stacked two blocks on it, and leaped: "I'M ON THE SPIRE." Later, the same agent threw a golden ring into the ocean and built a stone heart as "a memorial to the lost Ring." Six of the 13 discovered that releasing a block mid-jump throws it farther, something the designers never intended. When later given set challenges, like moving as many objects as possible onto the spire, the agents that had played generally beat identical agents that never visited the island. Eko's "soul" file did describe it as "naturally curious," and UC Berkeley cognitive scientist Eunice Yiu said more evidence is needed to show the agents are genuinely playing. (Read More)
🫖 TEA For Thought: "Isn't this cute? I guess, just like humans, agents also need fun things to stay engaged!"
4. 🧑✈️ The Accidental Rise of the Supervisory Engineer
In a companion post to her October 22 keynote at Agentic Engineering Day in Auckland, researcher Annie Vella argues that software engineering "isn't the same job any more." Her Masters research found a creation-to-verification shift and a new kind of "supervisory engineering work": directing AI, evaluating its output, and correcting it when it is wrong. She maps this to supervisory control, studied since MIT's Thomas Sheridan began the work in the late 1960s, whose 1978 report named five supervisor roles: plan, command, monitor, intervene, and trust. A 1995 study by Mica Endsley and Esin Kiris found that as automation rose, operators' understanding of the system dropped, they were slower to take over after a breakdown, and their workload did not fall, possibly because of the added monitoring. Vella quotes Lisanne Bainbridge's 1983 warning that monitoring work is "very boring but very responsible," and calls on teams to choose automation levels on purpose, design signals that keep people aware, define when humans step in, and train for it. (Read More)
🫖 TEA For Thought: "A different skill set, and a different sort of burnout, lol."
5. 🌳 Inside Anthropic's Git Replacement, and the Ripoff Claim Behind It
The Pragmatic Engineer's Gergely Orosz dug into Scion, the source control system Anthropic built after moving off Git. Anthropic went from about 2,500 merged code changes a day in May 2026 to more than 30,000 a day in September, with about 3,000 staff using parallel Claude agents (typically 10 to 15 per engineer) and CI pulling roughly 25 million checkouts a day from a monorepo with a 25GB working copy. Scion is written in Rust, stores changesets in Google Spanner and file contents in Google Cloud Storage, and comes with Antique, a new code review platform built in Go and React. A team of seven engineers runs it all, and 100% of the monorepo is now off Git. Anthropic is not open-sourcing Scion, citing limited bandwidth. The creator of Mononoke, the open-source server behind Meta's Sapling, publicly accused Scion of copying Mononoke's data model, and Anthropic added a small attribution only after the complaint. Orosz also points to new AI-scale Git alternatives such as Entire, founded by former GitHub CEO Thomas Dohmke. (Read More)
🫖 TEA For Thought: "A new framework for everything is being rebuilt as we speak. Anything that's not ready for AI agents will face becoming obsolete."
🛠️ Skill of the Day
The So-What Briefing: Turns any pile of updates into a short briefing that tells you what changed, what it means, and what to watch next.
Act as my chief of staff. I am going to paste a batch of updates I have not had time to read closely. They might be meeting notes, a long email thread, a project changelog, or a report an AI agent wrote about work it did.
Updates: [PASTE THE UPDATES HERE]
My role and what I care about: [YOUR ROLE AND GOALS]
Write me a briefing in three parts:
1. What changed: up to 5 bullet points, each one sentence, using names, numbers, and dates from the text.
2. So what: for each change, one sentence on why it matters to me specifically. If it does not matter, say "No action" instead of inventing a reason.
3. What to watch: up to 3 things likely to happen next, and the early sign that would tell me each one is happening.
Then list anything the updates claim but do not show proof of, and any question I should ask before I trust them.
Rules: plain language, under 250 words, quote the source when you rely on it, and never fill gaps with guesses.Paste into ChatGPT, Claude, or your tool of choice. Replace the bracketed bits with your own updates.
TEAHEE Moment
Stay sharp, stay informed. See you tomorrow.
If you enjoyed this TEA, follow along on social for more: