Kyzen

Ideal strategy for the 2026 World Cup on Polymarket Most people approach this market by trying to pick the eventual champion. I prefer a different angle. The goal is to identify teams that are likely to make it through the group stage, buy early, and exit once qualification is secured. After that, the tournament becomes a single-elimination minefield where even the strongest teams can disappear overnight. These are the positions I currently like: Group A — Mexico (1c → 4c). Group B — Switzerland (1c → 4c). Group C — Brazil (8c → 10c) + Morocco (1c → 4c). Group D — Turkey (1c → 4c). Group E — Germany (5c → 9c). Group F — Netherlands (4c → 7c). Group G — Belgium (2c → 6c). Group H — Spain (16c → 24c). Group I — France (16c → 24c) + Norway (1c → 6c). Group J — Argentina (8c → 16c). Group K — Portugal (10c → 18c) + Colombia (1c → 6c). Group L — England (11c → 18c) + Croatia (1c → 6c). The thesis isn’t about predicting who lifts the trophy. It’s about capturing the repricing that happens when teams do what they’re expected to do: survive the group stage and advance. And remember — this is football. One red card, one injury, one penalty shootout, and today’s favorite can become tomorrow’s upset. Market: polymarket.com/event/world-cu…

codexxxxxx population maxxxxxing Looks like Codex has finally discovered the first law of the internet: if you’re running out of compute, start reproducing. They just added an “invite a friend, get a rate limit reset” feature.

Alright. My prejudice about Claude Fable 5 (Mythos) was completely wrong. I thought it was just another model lol. but this is a whole different class of thinking altogether — it no longer feels like “it executes my commands”, it feels like “we’re working together”. Yeah, it’s expensive as hell. but a model operating on this level literally can’t be cheap. and honestly, you don’t even need this kind of power every day. Feels less like software, more like hiring a slightly unhinged research partner with insomnia and unlimited tabs open.

Claude Fable 5 just dropped. And alongside it — Mythos 5. Which is where things get interesting. Because technically they’re almost the same model. Fable is basically Mythos with a muzzle on. Safeguards. Restrictions. Built-in “please don’t cause digital incidents” layers. Meanwhile the real Mythos stays reserved for cyber security people and the kind of users whose job requires touching the edge of the digital abyss. Anthropic literally split the model into: “public version” and “version for people allowed to play with fire.” Extremely cyberpunk behavior. Benchmark-wise? It destroyed basically everything. But at this point nobody is even surprised anymore. The industry has fully learned how to farm synthetic benchmark porn. The real test starts at 3AM when the model has to: debug production, untangle legacy code, hunt race conditions, or explain why Docker suddenly imploded after one innocent update. Pricing already looks insane: Fable 5: $10 input / $50 output. GPT 5.5 Pro: $30 / $180. GPT 5.5 Pro Flex: $15 / $90. At this point the war is no longer about models. It’s about tokenizers, inference efficiency, agents, and which company can burn your monthly budget the fastest. The funniest part? Their shiny benchmark chart somehow forgot to include one very inconvenient monster: GPT 5.5 Pro. Intentionally? Maybe. Hard to tell. On one side these are genuinely different classes of systems. Fable is an agentic execution machine. 5.5 Pro is a reasoning tank that thinks like there’s a corporate board meeting happening inside the weights. On the other hand… it sounds much cooler to say: “best model in the world” than: “we roughly caught up to something OpenAI shipped six weeks ago.” The cyber security benchmark situation is even funnier. Mythos scores near zero on some of them. Not because it’s weak. Because it simply refuses to do half the tasks. Ironically that’s also why jailbreaking Mythos will probably be borderline impossible. It’s too smart. The model understands what you’re trying to do before you fully formulate it yourself. And of course there’s the final boss: Grok 4.3 Heavy (16 Agents). AI companies are slowly stopping their chatbot arc. This industry now looks more like cyberpunk megacorporations manufacturing different classes of digital mercenaries: some think, some code, some hunt vulnerabilities, and others exist purely to stop the first three from accidentally causing a digital apocalypse. Anyway. Enough benchmark theater. Time to test this stuff in real workflows and use cases that hopefully won’t incinerate an entire team’s monthly budget in one evening.

Polymarket has introduced Combinatorial Positions. This is a new tool that allows traders to combine multiple outcomes into a single position. For example: YES: Trump wins -> Fed cuts rates -> Bitcoin > $150k This position only pays out if all conditions end up being true. Which means traders can now build and trade combinations of events and more complex scenarios. In practice, Polymarket is starting to move toward synthetic products, where users can create their own structures from political, economic, AI, financial, and other events. Documentation: docs.polymarket.com/trading/ctf/co…

Some guy turned football into high-frequency trading. He prepared for the World Cup in advance by building custom software for trading on Polymarket. He already loaded positions on 21 national teams and plans to flip probabilities during live matches using his own algorithm. The software exploits latency between the real match and price reactions on prediction markets. Two monitors. - One tracks the bot. - The other tracks the trading terminal. One Mac Mini. And apparently that’s enough to run the entire setup at full speed. Keyboard. Mouse. Football scarves and team flags on the walls for morale. He uploaded a short video to let everyone know: don’t even bother competing. His system reacts faster than traditional sportsbooks. While most people still manually trade sports markets, some guys are already building full latency-farms for Polymarket. This guy tried to explain his software. He accidentally showed too much. Pause the video at second 6 and look carefully. Wait… Is that real PnL? +$110K??? And the tournament hasn’t even started yet. What happens once the referee blows the opening whistle? This guy clearly knows what he’s doing. His software does not predict football matches. It front-runs sportsbooks. Corners. Penalties. VAR checks. Red cards. Injuries. The bot buys YES and NO faster than bookmakers can update odds. Tiny entries. 2-cent mispricings. 5-cent inefficiencies. Again. And again. And again. Thousands of trades. Almost every line will probably end up green. Not because he “understands football.” Because the machine is simply faster than humans. At this point people are watching his wallet more closely than the matches themselves. The account is still active. The bot is ready to trade. The account of this guy: @asjabaasj?r=kyzen" target="_blank" rel="nofollow noopener">polymarket.com/@asjabaasj?r=k…

@Polymarket has added a separate golden section fully dedicated to the World Cup. This is starting to look like the biggest event in history. The World Cup 2026 winner market alone has already reached nearly $2B in volume. And the tournament hasn’t even started yet. The real insanity begins once live matches start. Goals. VAR. Penalties. Red cards. Last-minute equalizers. Every major football moment instantly becomes a tradable probability event. And that probably means only one thing: record rewards are coming very soon. Platform no longer sees the World Cup as just another sports category. They see it as the platform’s main event — and they’ll happily throw massive rewards at it. Market: polymarket.com/event/world-cu…

The hype around the SpaceX IPO right now feels exactly like early Polymarket. Everyone is staring at the valuation. Almost nobody is staring at the float. $1.8T sounds insane. A $75B float market cap sounds completely different. That’s the whole setup. People see: “biggest IPO in history” and instantly scream exit liquidity. But this looks much more like a classic Polymarket liquidity imbalance trade. Tiny available supply. Massive narrative. Massive attention. Almost no natural sellers. And the market already understands this. Premarkets on Binance and Hyperliquid are pricing $SPCX around $175. That implies roughly a $2.33T valuation. Meanwhile Polymarket gives only around a 30% chance that SpaceX closes day one above $2.4T. That spread looks disgusting. And this isn’t really about fundamentals anymore. Nobody is buying SpaceX on day one with an Excel spreadsheet open. This is pure narrative warfare. AI. xAI. Starlink. Orbital infrastructure. Nasdaq-100 inclusion. Passive ETF buy pressure. Basically every major 2026 narrative compressed into one ticker. Then you realize only ~4% of supply is actually tradable. And suddenly this stops looking like: “an overvalued stock” and starts looking like a Polymarket squeeze with a Bloomberg Terminal attached to it. Modern markets no longer trade on valuation first. They trade on: attention, positioning, float structure, forced buyers, and fear of missing exposure. On @Polymarket people don’t buy probabilities. They buy reflexivity. And SpaceX might become the biggest reflexivity event public markets have ever seen. This guy clearly knows what he’s doing — especially once you look at his returns: @madril?r=kyzen" target="_blank" rel="nofollow noopener">polymarket.com/@madril?r=kyzen

Funny thing about GPT-5.5 in Codex mode: you can send it the most unhinged relationship message imaginable and it replies like a mercenary accepting a side quest. “understood. proceeding.” No emotions. No moral lecture. No “have you tried communicating honestly?” Just pure cold-blooded execution energy. Claude would start a whole therapy arc with you. GPT-5.5 responds like it’s running inside a cyberpunk basement server powered by caffeine and unresolved burnout. You’re having a mental breakdown. It’s already shipping the next commit. And honestly? That level of emotional detachment is starting to feel kinda premium.

Testing the new Codex + Grok Build combo. I don’t really care about Grok itself for coding. But Composer 2.5 — the Cursor-style agent layer they copied — is actually interesting. Code quality feels surprisingly close to Opus 4.7, except it’s absurdly fast. Right now the workflow feels split between two brains. GPT-5.5 gets the hard stuff: architecture, planning, reasoning, figuring out what should even be built. Composer just executes. Fast edits. Refactors. UI tweaks. Boilerplate. Instant iteration loops. One model thinks. The other types at 300 WPM. And weirdly… it works better than using a single “best” model for everything. The funniest part is how invisible the shift feels. Nobody says “I use 4 AI models now.” But people already do. One agent plans. One searches. One codes. One reviews. One fixes the mess from the previous one. We’re slowly turning IDEs into AI orchestration layers pretending to be text editors.

Scandal surrounding the 2026 World Cup. Uzbekistan’s national football team was subjected to lengthy and intrusive security checks in New York. Bags were unpacked, players went through metal detectors, and literally every pocket was inspected. Previously, representatives from Senegal and Iraq reported similar treatment, fueling accusations of discriminatory profiling by US security services ahead of the tournament. Now the big question is what will happen with Iran’s national team if they actually travel to the World Cup and refuse to withdraw. Meanwhile, there’s an interesting market on @Polymarket right now: Will Iran Play in the World Cup? Potential 50x upside if Iran ultimately does not participate in the tournament. polymarket.com/event/will-ira…

Perplexity vs Grok: search vs investigation. Perplexity is basically: “find → summarize”. You ask a question, get a fast answer, a clean summary, and a list of sources. It’s an excellent tool for speedrun research: quickly understand a topic, gather baseline context, verify facts, find articles or opinions. It feels like a next-generation search engine. @grok feels completely different. It’s no longer “search with answers”, but a recursive loop: “think → search → rethink → find contradictions → test the hypothesis → search again”. Watching Grok Deep Research feels less like using an assistant and more like watching an obsessed analyst opening dozens of tabs, digging through Reddit, GitHub, forums, old PDFs, tweets, scientific papers — trying not just to answer, but to actually uncover what’s going on. Perplexity optimizes for speed of information retrieval. Grok optimizes for depth of investigation. Perplexity often feels like: “Here’s the answer. Here are the links.” Grok often feels like: “I spent 40 minutes digging through the internet and here’s what’s actually happening.” The difference isn’t just context size. It’s philosophy. Perplexity is a tool for navigating knowledge. Grok is a tool for investigation.

Apple Is Turning Siri From Voice Search Into an AI Operating System. Apple Intelligence looks like Apple’s first real attempt to build AI not as a standalone chatbot, but as a layer across the entire ecosystem. If the previous version of Siri AI felt more like “voice search,” Apple now seems to be moving toward a true personal system intelligence: context, apps, camera, Safari, automation, and local models all starting to work together as a unified AI layer for the device.

Go go go !!!

CA: B1ETdxEro2u4RGmx2DT1m8Xjb4VviiNJkvbWerZMKByX

Waiting... waiting

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@RIPelon Yes 100%

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