Right now I am in a three-week conflict with @AmazonKDP. 1–4 emails per day. For more than three months they have systematically removed, blocked, or failed to moderate reader reviews while simultaneously acknowledging that this is part of their “global technical issue.” During all this time, I continued investing in @AmazonAds, independently driving thousands of targeted visitors from X and other platforms, while carrying not only financial but also reputational and strategic costs. For an intellectual library, social proof is not decoration — it is part of the operational architecture of trust. By destabilizing this layer, platforms indirectly affect the growth trajectory of the entire system. Large organizations begin ignoring weak signals because scale creates the illusion of invulnerability. They assume that eventually an individual person disappears beneath the asymmetry of power. But systems, narratives, and pressure have one unusual characteristic: the longer they are suppressed, the more coherent and resilient their architecture becomes. I built this library over four years during blackouts, under constant drone attacks and missile strikes — specifically for long-term development inside the Amazon ecosystem. @AmazonAds accepted advertising budgets from a Ukrainian author while simultaneously removing his reviews — the very mechanism without which sales on the platform become impossible. The company acknowledged the violation and described the issue as large-scale. Three months — without resolution, without timelines, without compensation. 22 books. A combat zone. Daily losses. @Amazon believes they are a massive corporation and I am just an author. But one should never underestimate a potential catalyst.

Right now, every major AI company is going all-in on Agents. Agents can write code. Build spreadsheets. Book tickets. Do research. Write plans. Handle all kinds of random tasks. And if you click the wrong button… maybe even wipe your inbox in one shot. AI is everywhere now. To be honest, this is making the PumpSnake team extremely anxious. 🐍💢 Every day, I keep asking myself: How the hell are we supposed to keep up with AI? Are we just going to keep fixing bugs, tweaking numbers, building maps, and balancing items forever? Then, over the past two days, I suddenly had a genius idea. If AI can do almost anything… why can’t AI control our snakes? Let it enter rooms by itself.🪟 Grab coins by itself.🤑 Kill enemies by itself.⚔️ Dodge lightning by itself.⚡️ And maybe even— earn money by itself.💵 Just imagine this: In the future, every player could claim a snake controlled by an AI Agent. You could choose its personality: ⚔️ Aggressive Agent: chases everyone, no fear, pure face-rush 🕶️ Sneaky Agent: plays safe, survives, waits for free kills 💰 Rich Agent: only enters high-stakes rooms, ignores the small games 🧠 Strategy Agent: calculates rewards, evaluates risk, plays smart ⚡ Mad Dog Agent: gets lightning and instantly goes insane across the map You could keep watching it. Training it. Adjusting it. Until it becomes a real AI snake that belongs to you. And what do you do? Simple. Lie back. Watch it fight. Wait for it to make money for you. Sounds crazy? Maybe. But AI is moving way too fast. Maybe the old GameFi “Play to Earn” dream from the last cycle can actually be rebuilt by AI this time. I’ve been tortured by endless bug-fixing requests for the past few days… but the more I think about it— the more it feels like this is not just a dream. PumpSnake + AI Agent. Auto battle. Auto evolution. Auto earning. What do you think, brothers? Is this idea crazy enough? 🐍🤖💰

Right now, the majority of AI workloads are executed on GPUs, but that could soon be changing with market adoption of AI application specific integrated circuits (ASICs). @Luxor's Mike San Miguel said that hyperscalers have been utilizing these ASICs for some time, but now neoclouds are making moves to leverage them as well. "They're just starting to hit the open market now The hyperscalers have been doing versions of these for about a decade. What's different now is that, as opposed to being bespoke chips for hyperscalers, we're starting to see new manufacturers that are producing these AI ASICs, and as a result these are going to start hitting the neoclouds. "You're probably going to see them hitting the market in scale in 2027 when they're going to start entering fleets for a lot of these neoclouds." This raises a a business question for AI companies, however, because unlike GPUs which can be used for inference and training, AI ASICs can only be used for one or the other. "A GPU can be used for inferencing training. But with ASICs, they're purpose built for one or the other -- they can't do both. "But that's the advantage. You get a much higher output...what it's probably going to look like in the next 2 to 5 years -- beecause these things take time to roll out -- is a hybrid approach."

Right now, when a Slonk is pulled from the void, its level resets to 0 and its metadata changes. That has created an issue where a Slonk can be listed before OpenSea has refreshed the metadata, and someone can buy it right before it changes. To fix this, I’m going to move the metadata update earlier in the process. Once the update is live, a Slonk’s metadata will change as soon as it enters the void. Slonks will also need to stay in the void for at least 3 hours before they can be pulled back out. This should give OpenSea plenty of time to refresh the metadata before a Slonk exits the void, making the process much clearer and safer for everyone.

right now it doesn't really matter because we are all slop cannons but soon - we will measure people on their productive output per token. It will be the most accurate representation of their skill. this is a reflection on how well you can harness compute to your will

Right now BTC behaves like something you hold, not something you use. That’s not how capital works long term. Every major asset eventually becomes collateral. Bitcoin hasn’t made that transition natively yet.