知行 心手 + agent disaster

Z / Runner 🏃🏻‍♂️

🏃🏻‍♂️ [z]2026 (notion).

🏃🏻‍♂️ Deepseek r2 around the corner? -- mHC: manifold-constrained hyper-connections (arvix - 12/31/2025).

🏃🏻‍♂️ sharing the struggle: i understand how to train the body (2025 results were stellar). It is almost a mechanical flow state. While sleep continues to be the weakest link – 2024 (~5 hrs) 2025 (~6.4 hrs) – diet, training, recovery are all ticking upwards. VO2max inching closer to 59 (prev. 48), lean mass 90%, blood panels mostly green (95% range).

• 🏃🏻‍♂️ low or out of range biomarkers are "easily" fixable in my context, reduce training load, increase sleep and change workouts (weight) can push 99% of my biomarkers into the green. The struggle for 1H of 2026 is MIND.

🏃🏻‍♂️ BUT, thoroughly lacking the equivalent for the mind. But I have no compass/blueprint on how to train the mind. Big goal for 2026 is (MIND & BUILD), so it has been extremely stressful to enter day 1 of 2026 w/o a solid framework. Over the holiday break i have re-read Li's book recommendations and had long conversations w/ parents and sibling, but none of them feel sufficient right now.

• 🏃🏻‍♂️ remain steadfast "build for longevity" through ai(j)(s); and targeting the "fat middle"... had months of back/forth w/ shamir and immediate circles of friends/family, endless market data… all seems to suggest it is the right direction. As for profit, many practical theories to implement at the feature level, and we can explore (validate/invalidate) quickly.
• 🏃🏻‍♂️ daily stoic, the obstacle is the way.
• 🏃🏻‍♂️ goal setting and practical procedures to get results (OKRs framework). For MIND, i have yet to see a clear path for something of equal value…
• 🏃🏻‍♂️ to note: it is less about feel good philosophy (i read enough of these books and continue to extract some level of enjoyment). "A body that never betrays the mind" was my fx health goal, and right now, the body feels trained and ready. The mind feels capable (motivated and hyper aware), but under-oriented. Do you have a small set of principles that drives constraint and clarity on a day-to-day basis?
• 🏃🏻‍♂️ see notion.

🏃🏻‍♂️ Chatting w/ multiple ais yield more cognitive overload. What i am missing is not motivation, it is scarier… i lack methodology. (troubling thought when you're entering 40s and realizing there is no coherent framework for training the mind). How do you train the mind w/ the same seriousness & repeatable rigors as the body? My goal is to have a set of mental exercise routines: sharper, clearer and more capable mind than last year. Previous assumptions was improve memory and examine basics academic knowledge (ie. can I still do college level courses or taking nuero classes)... results are mixed at best and de-motivating in reality.

• 🏃🏻‍♂️ no, searching for the practicals. For examples: 1). What is the mental equivalent of VO2max? Is it clarity? Decision speed (type 1 vs. type 2) 2). Is mental capacity a function of emotional states? 3). What the mental equivalent of HRV? 4). What does overtraining look like for the mind (indecision? Slow error correction) 5). Is stoicism (calm) the right goal or is that just another aesthetic? 6). Here is the biggest and most challenging mental block this past week — what does mental progress even look like? Fewer thoughts? Better thoughts? (had a 3 hour chat w/ Yo & her dad, they recommended: 知行合一.
• 🏃🏻‍♂️ i see where "mind fitness" vs. "life purpose", but the question is how to clearly separate the 2… writing down goals for 2026 was supposed to bring out clarity not spawning into confusion.

🏃🏻‍♂️ for BUILD: it was relatively easier to set goal for 2026: "man in the arena, actuate knowing into doing" resolve PMF for ai(j)(s), tgi, cafe. Key metrics are cleaner to establish… the process of getting PMF for any one of these explorations looks familiar through 10 yrs of startups. For example, for tgi, can we get 10 regulars to show up each week and compound growth by 10% w/w in Q1, accelerate by a factor of 5 in 2H. Cafe can we achieve burn neutral in the first opening. ai(s)(j), can we achieve 90% daily retention in a controlled experiment.

Stephen / Basketball 🏀

🏀 "body must not betray the mind".

🏀 "topological architecture design and.. the evolution of foundational models: training stability / scalability, memory access."

• 🏀 low testosterone + _, not fixable / important anymore?

• 🏀 but still 99% sugar crave?

• 🏀 but also product and profit? else, "build" for what / whom?

• 🏀 i grew much more skeptical on "profit on longevity". which top market data you can disprove with in a month?

• 🏀 which li's books?

• 🏀 "sufficient" for setting goals, for having a solid framework, for..?

• 🏀 when over-planned + under-achieved, do only ONE thing: force yourself to sleep 1 more hours every day. it may solved all your problems.

• 🏀 present your same-day progress to your peer / critics.

• 🏀 you are conflating "mind fitness" vs "life purpose".

• 🏀 constantily talking is not [thinking / progressing / converging].

• 🏀 心手合一, men et manus. 「凡謂之行者，只是着實去做」. 「事上磨鍊做工夫」.

• 🏀 running -> fit body <-> product -> fit mind. all these bottom-up questions are valid, but your top-down goal of 3:30 race clarifies everything for the body. ditto for your mind.. with a product / _.

• 🏀 for the journaling, have you found your +1, rather than my -1 and aaron's -1_?

🏀 #days-agent 2026: context (reasoning + checkpoints + rewards), coding (vibe + yolo + deviance) + multimodal (photo + voice + video).

• ai (agents) = web ∞ definitely still need web1 search (crawl + index + rank), web2 social (connect + write + like), web3 token (open + pay + consent).. who's (re)building $100m _ for $100t _? exa's people research vs tavily's meeting prep.

• what are the next breakthroughs on coding after 2025's chain of thoughts + cursor editor + tool use – not just for dev but for _? 3d printing via physics (ai) models. i'm able to contribute only 1% on 3d and -100% on robots. but i know coding. 3d still needs automation, robots plenty of simulations. so, all slop from here – or what's next with native compilers, type checkers, symbolic verifiers, (human) auditors? "Despite data showing erosion in _, the deviation from safety standards was repeatedly rationalized because previous _ had succeeded. The absence of disaster was mistaken for the presence of safety."

• wide + deep + rank research: alphasense (market vs competitor analysis), crayon (instant vs lifelong tracking). "don't just give me a feed of news links. give me the agent that spends 3 days investigating a rumor, checking 50 sources, verifying data, and writing a definitive briefing."

• sheet + browser + canvas interfaces.

• vector + python + docker tools.