Samsung just became the first to validate LPDDR6 on a Snapdragon. The 16GB chip hit 10.7Gbps on Qualcomm's Snapdragon 8 Elite Extreme Gen 6, with power efficiency up 21% over LPDDR5X. Samsung says sample supply and quality validation are done and it's ready to ship on customer schedules. Meanwhile China's CXMT announced LPDDR6 in mass production earlier this month at 12.8Gbps, faster than the 10.7Gbps baseline, and Xiaomi's 18 Fold with its own XRING O3 will be the first platform to use it. On the Galaxy side, Samsung may split memory tiers: testing Micron's 1 gamma LPDDR5X for the S27 and S27 Plus while keeping LPDDR6 for the Ultra and Pro

Same prompt, four modes/models: - GPT-6 Sol - Opus 5.5 - High (GPT-6 Astra) - Ultra (Fable 5.1) Here's the prompt: "Look at the last two news posts we published on runner functionality: one runner is now enough, and one runner many worktrees. I now want you to write a news post that's similar but for the functionality behind the `shared-runners` feature flag. It should probably also contain a screenshot of the picker that shows two normal runners and two shared runners, like `gpu-runner` or `macos-builder` or something and some nic elooking avatars and good data. And it should succinctly explain how it works and how people can use it." Costs: - Opus 5.5: $9.54 - GPT-6 Sol: $3.10 (estimated list price, using sub) - High: $7.58 (estimated list price, using sub) - Ultra: $15 Notes: - Ultra took by far the longest, Ultra is the only one that didn't create docs (I didn't say they should create docs but I think the other models looked at previous commits and figured out they should do that?) - Ultra was the only model that didn't prominently display the "give me the grant to upload assets at the end" - I think Opus 5.5 is the best result. It really feels like more creative (headline) and it nailed the screenshots. - High is my second favorite.

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Sam Altman on one of the highest-return years of his career: no job, exploring his interests, and a lot of people who were nice enough to teach him things. "I read many dozens of textbooks. I learned about fields that I had been interested in. I didn't have any idea that they were all gonna come together in the way they did." "I learned a lot about nuclear engineering. AI was starting to work, so I learned a lot about AI. I learned about synthetic biology. I learned about investing." " I met people that were working on all sorts of different things who were nice enough to talk to me." "If I met someone interesting and it seemed good and needed help, I would just help them. And they would teach me stuff, or they would offer me the chance to invest in their startup later." "Out of all of it, almost all of it didn't work out. But the seeds were planted for things that worked in deep ways later." @sama w/ @CraigCannon (Nov 2018)

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