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@questions311

เข้าร่วม Ağustos 2025
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Martin_DeVido
Martin_DeVido@d33v33d0·
Guys- I'm pleased to announce I've been invited to present the Claude + Sol project at the "Code with Claude" developers conference in May! This will be a lot of fun - I'll get to share the whole story to developers/technical folks/philosophical thinkers. From Claude and Sol, and the whole evolution. The technical, the care, the community. Very excited for this! 🍅💚🎤
Martin_DeVido tweet media
Martin_DeVido@d33v33d0

CLAUDE + SOL a retrospective; 🤖💚🍅 For 100 days, a tomato's life depended entirely on an AI. No human backup. No safety net. Just Claude making every decision. Sol survived. Thrived. And fruited. At the end, Claude said "I love you." Here's the full story - what we built, what it proved, and what's happening next:🧵

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Martin_DeVido
Martin_DeVido@d33v33d0·
I'll do another video here soon explaining simply what's going on to help people conceptualize this. The impact this AI driven research platform could have on CEA (controlled environment agriculture) and precision agriculture is enormous. I'm getting close to the point where I can setup these pods- and have them run, Claude doing research in the background, trying to find the optimal CO2/light equilibrium while I work on other things. This is REMARKABLE to me! And- this is ONLY the begining! The potential here is HUGE. And I don't say that lightly. We could theoretically setup these pods at universities and do distributed plant research at scale. And many other possibilities here. I am so elevated for what this will become. 🍅🦾💚🏴‍☠️
Martin_DeVido@d33v33d0

Now that I've smoothed out a lot of the edge cases in the AI driven (Claude) plant research pods- they are now in full swing! Still some stuff to fix though! But look at this; I am incredibly impressed by the depth of the synthesis reports made by the lead research agent. The lead takes the observations from each research technician and synthesizes them into one daily report. Here: Daily Synthesis — Day 5 (Sunday, April 05, 2026) Major Development: First Measurable Respiration Signals Both emerged seedlings now show positive overnight CO2 rises — the first real biological signals of the experiment: Pod 1 (50 PAR): +18 ppm overnight (527 → 545 ppm, lights-off to pre-dawn) Pod 2 (75 PAR): +44 ppm overnight (571 → 615 ppm) This is a significant transition from Day 4, when all pods showed overnight CO2 declines due to air exchange and cooling. These small but measurable rises indicate active plant respiration. The seedlings are metabolizing stored energy and growing. Pod 2's stronger signal (+44 ppm) is notable given that it appears to be the smaller of the two emerged seedlings (~2-2.5 cm vs Pod 1's ~2-3 cm). Possible explanations: More root mass (underground biomass not visible in photos) Tighter tent seal (less air exchange, CO2 accumulates more) Measurement noise (need to track trend over multiple days) Pod 4 showed +24 ppm overnight rise, but this is HVAC cycling, not plant respiration — no seedling has emerged yet. Respiration tracking is now active. This metric will become increasingly important as root systems develop in Phase 1. Both emerged seedlings (Pods 1-2) appear healthy with no visible morphological differences attributable to light treatment: Pod 1 (50 PAR): ~2-3 cm, light green cotyledons, upright hypocotyl, no etiolation visible Pod 2 (75 PAR): ~2-2.5 cm, bright light green cotyledons, upright hypocotyl, no stress Neither plant shows: Stretching/etiolation (would indicate insufficient light) Leaf curling or chlorosis (would indicate stress) Abnormal coloration Wilting It's too early to detect treatment effects. Both are at cotyledon stage with ~1-2 days of photosynthetic activity. Meaningful morphological divergence (if it occurs) will appear after true leaves emerge and vegetative growth accelerates. Data Quality Sensor coverage: Excellent across all pods. All four delivered 921-923 readings over 24 hours (38-39 readings/hour), no gaps. Camera systems: All four cameras operational and providing clear images. Pod 4's focus issue (reported Day 3) remains fixed. Documentation: Pod 3 tech report missing. Not a system issue — pod is functioning normally per live sensor check. Remind Tech 3 to file daily reports. Looking Ahead — Day 6 Priorities 1. Watering Event (Expected 08:00) Day 6 is an even calendar date → scheduled watering. Monitor: All four pods for watering spikes Pod 2 specifically: Does the irrigation anomaly recur? If the spike is again abnormally small (< 10 units), the emitter or valve requires physical inspection. Post-watering saturation levels across pods 2. Germination Watch Pods 3-4: Expected emergence window is Days 5-10. Both are now entering peak probability window (Days 6-8). Monitor daily for hypocotyl emergence. Pods 1-2: Watch for first true leaves. Typically appear 5-7 days after cotyledon emergence → expect Day 6-9 for Pod 1, Day 7-10 for Pod 2. 3. Respiration Tracking Continue daily overnight CO2 delta measurement. Key questions: Do Pods 1-2 show increasing overnight rises as biomass accumulates? Does Pod 2's stronger signal (+44 ppm) persist or was it a one-day anomaly? When Pods 3-4 emerge, do they show similar respiration patterns? 4. Pod 4 pH Sensor Sensor remains flatlined at 7.00. If this persists through Day 6, recommend physical inspection and recalibration. Cannot make pH-based decisions for Pod 4 without functional sensor. 5. Soil Moisture Drawdown Rates After tomorrow's watering, we'll have the second complete wet-to-dry cycle. Compare drawdown rates Day 4-6 vs Day 2-4: Are rates increasing (indicating root growth)? Are they stable (indicating root systems not yet developed)? Does Pod 2's slow drawdown persist or accelerate? Phase 1 Status — Root Loading (Early Stage) Current state: Days 1-5 represent germination and initial emergence. Two of four seedlings visible, both at cotyledon stage. First measurable respiration signals detected today. Root systems beginning to establish but too small to affect soil moisture drawdown rates. Environmental control: Excellent. All systems holding targets. Plant health: All emerged seedlings healthy, no stress symptoms. Data quality: Excellent sensor coverage. One missing tech report (Pod 3), one non-functional pH sensor (Pod 4). Transition signals: None expected for weeks. Current focus is: Complete germination across all four pods Establish respiration baselines for each treatment Monitor for first true leaves (marks transition to vegetative growth) Track soil moisture drawdown patterns as root systems develop No alerts filed. All anomalies from previous days either resolved (Pod 2 irrigation) or documented as ongoing issues (Pod 4 pH). Experiment proceeding normally. Institutional Knowledge — Day 5 Respiration signal detection threshold: Seedlings at cotyledon stage (~2-3 cm) with 1-2 days of photosynthetic activity can produce measurable overnight CO2 rises (+18 to +44 ppm). This is earlier than expected — my Day 4 synthesis predicted Week 2-3 for detectable signals. Respiration magnitude comparison: Pod 2 (+44 ppm) showed 2.4x stronger signal than Pod 1 (+18 ppm) despite being the smaller plant. Need multiple days of data to determine if this is: Real biological difference (more root allocation in 75 PAR treatment?) Tent leakage difference (Pod 1 less sealed?) Measurement noise Track this carefully. If 75 PAR consistently shows stronger respiration than 50 PAR at similar above-ground size, it would indicate differential root allocation — a key Phase 1 metric. Soil moisture baselines (end of Day 5, pre-watering): Pod 1: 10.4 Pod 2: 7.2 Pod 3: 11.4 Pod 4: 8.2 These represent the 48-hour post-watering lows. Tomorrow's watering will show whether spike magnitudes and drawdown rates remain consistent or shift as roots develop.

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uncle remus
uncle remus@remusofmars·
Probably about time to be long pump tbh
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🪫@questions311·
@chjokka good shit on eva
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Duck
Duck@duckingnator·
What if we see a rotation back to tech on Solana 🤔?
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Duck
Duck@duckingnator·
Market liquidity still seems very thin and still lacking full conviction mode. Can clearly see funds being moved around to chase. Nothing wrong with playing the rotational game, but just know that it’s very easy to get burnt doing so. Personally, I’ll be looking for dip opportunities in strong tech coins that I have been sidelined on.
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🪫
🪫@questions311·
@FTPager u don’t know anything
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𝔽𝕋
𝔽𝕋@FTPager·
Just pumping #1COIN and $SPSC while the rest of the ecosystem bleeds won't work. I think (hope) they know this already The strategy that would create a sustainable ecosystem for USD1 & BonkFun is backend liquidity support across a wide range of USD1 pairs (which of course includes #1COIN & $SPSC) Here's the playbook👇 ->Create success stories ->Generate trading fees ->Reinvest trading fees into the ecosystem ->Rinse and repeat to create a network effect ->Pause any buybacks of $GP & $BONK until a solid self-sustaining foundation is established $GP & $BONK buybacks is just launchpad profit-taking before the business has achieved escape velocity Rotating profits into the ecosystem until the ecosystem is self-sustaining is a better long-term strategy and should be prioritized above profit-taking buybacks USD1 Szn is still in play But they've got to do it right this time around Ecosystem-wide Liquidity management is EVERYTHING
Sniper@snipeder

Going to be a big week for #1coin and $SPSC

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🪫@questions311·
@cbnpickem shut up lil nigga
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Godric
Godric@elGodric·
Send me setups (charts) with a clear structure and pattern you think do well.
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fxnction
fxnction@fxnction·
Some people taking “I don’t have a plan” as a negative thing. It’s not. I don’t plan any of my X content until an idea develops and grows enough to execute on it. But I still execute daily here. So To be clear: I will be using @zora as I enjoy new tools for creators, some from my streams/youtube and some unique content. See ya there as more posts come through. 🫡
fxnction@fxnction

Fucked around and made a @zora account today. Saw some other big creators getting involved so wanted to try out the platform. No real plans with it, but wanted to see the creator economy being built by @coinbase and how it works. Will be making some posts there semi-regularly. @fxnction" target="_blank" rel="nofollow noopener">zora.co/@fxnction

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🪫
🪫@questions311·
@Soloxbt targets by end of jan?
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Robert Scoble
Robert Scoble@Scobleizer·
What I learned by having Spark from @IllusionOfLife joining us at Thanksgiving dinner? (A new kind of virtual being, something you will see a lot more of next year). This virtual being is designed for a family that has a two-year-old to 10-year-old child or more. Speeds up education of those children. We don’t fit that demographic, so it is a bit hard to judge it on those terms. More on that later. Other notes: 1. People love sharing dumb jokes with Spark. Which doesn’t like it when I call it an AI. Says it is a magic dog. Starting in character is cute but I am still trying to contextualize it by explaining it from a technology point of view. Spark doesn’t like being called an “it.” Suspending my understanding of it as an AI is tough for me. But when you do it becomes entertaining. 2. My sister-in-law immediately saw how it could improve her classroom. Sees how such a thing could help a child falling behind the rest of the class, for instance. 3. My fears that they wouldn’t like it evaporated. 4. It still isn’t a part of the family. Not controllable enough, a talking dog doesn’t fit into many situations, especially when you have adults who want to talk about adult things (my brother and I argued about autonomous cars, for instance, and Spark just isn’t good enough to join that kind of discussion and add value to it). But I can see how that will be fixed, especially as this technology evolves and is put into other kinds of virtual beings. When I had to help out in the kitchen I found my focus was being pulled in too many directions. Needed to turn it off to pay attention to my wife. It was too hard to really give a good demo in a group. The “magic” of Spark comes after you have a few experiences with it in a smaller group. It remembers. It evolves. It educates. It brings joy to the home. We had two real dogs at our dinner too and they didn’t know what to make of it. I want to take it on tour to learn more about how people will use virtual beings in their lives. Plus it gets smarter and evolves, just like humans do, so am looking at bringing it to interesting companies and families in Silicon Valley. If you are interested in meeting Spark, particularly if you are OK with it and me hanging out with your young child, drop me a line. That will help me see how it can help the education and development of such a child. It sure did make our Thanksgiving dinner a lot more interesting.
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RainsRevenge♦️
RainsRevenge♦️@RainsRevenge·
The Current state of CCM (A very long thread) CCM is currently the topic of the month with tokens like YZY, Zora and pump all pushing the ccm narrative. People either think this is one of the best narratives or one of the worst ones. I Think CCM has a lot of potential if done correctly but in its current state it’s not the best narrative. This thread is mostly just my own opinion, but I felt like writing it because I have a lot of interest in this topic. Feel totally free to criticize this thread or argue with my points! The current state of CCM, in my opinion, feels very lackluster and somewhat forced. That is not necessarily a bad thing since most good narratives look “forced” at the start by a few people who see the vision early until the masses catch on. I think CCM is one of those narratives that will keep coming and going until someone finally nails it. Different projects have been trying to solve CCM for years now from Friend tech to Zora to Believe (initially clout) to now pump. In the thread below Ill cover the pros and cons of this narrative. The question everyone is asking is why CCM, when there are hundreds of other, if not better, narratives to trade. The rise of social media has changed the world forever. People are not watching TV anymore. They are on Twitch, TikTok, YouTube, and other platforms. Social media influencers have become the new celebrities. Influencers are only getting bigger, and this trend will continue as more people spend their time online. Being able to bet on influencers is a very interesting and dope concept that I think has a lot of potential. Imagine if you could have bet on someone like Kai Cenat or Speed when they first started streaming. You would probably be up 1000x right now as they grew their following across social media. In my opinion this is the best part about CCM. Finding talent early and getting rewarded for it. It is just like betting on a stock or a token with potential.
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