Goatseus Maximus price

After a year of tracking crypto x AI, here's a braindump of things I've been seeing/thinking (tldr is we're waiting for a spark to send our tokies parabolic): 1. Most crypto x AI tokens are down 60-80% from their January peaks, with only a handful of newer projects showing sustained gains. Projects with defined use cases (i.e. $BNKR) are thriving (screw the X ban) while pure narrative plays (i.e. $GOAT) aren't. 2. AI Social Agents: The social AI agent boom has largely failed. Most "agents" are glorified chatbots flooding social media with low-quality content. The few exceptions (like Grok's contextual Q&A) succeed because they're transparently AI tools rather than human impersonators. The lesson: AI should augment human capabilities, not replace human authenticity. Either that, or LLMs get better at surfacing novel insights from the X firehose. 3. Agentic finance: Agentic portfolio managers on the other hand show genuine promise because they’re solving measurable problems: 24/7 monitoring, emotion-free execution, and strategy backtesting at scale. Projects like @Almanak__ (one we’re working w closely at Labs) are gaining traction not through hype but via yield. Tangential thought experiment: if AI eventually outperforms human traders, what happens to individual trading as a skill or profession? Edge gets eroded and it becomes -ev to be an unaugmented trader. There are also some interesting plays in the AI data space, but revenue is volatile and often obfuscated. We really need a decentralized data marketplace to democratize the playing field. 4. Development Tools: "Cursor for crypto" tools like @devfunpump represent genuine innovation. They’re lowering barriers to dApp creation and that could democratize crypto development. We're still waiting for the breakout vibe-coded crypto app that proves this thesis (I suspect it’s coming soon). 5. Funding Disconnect: The most compelling AI x crypto companies are raising private capital rather than issuing tokens. This creates a liquidity problem where retail investors chase low-quality tokenized projects while institutional money flows to higher-quality private deals. Until high-quality projects go public via tokens, broad repricing will be difficult. 6. Missing Catalysts: Someday, OpenAI will integrate Worldchain. Wish they’d just go for it now. I imagine there’s a lot of regulatory murk in the way, though. More realistic catalysts include: federal AI safety regulations that favor decentralized solutions (unlikely imo), major DeFi protocols or CEXes successfully integrating AI trading, or breakthrough improvements in on-chain inference capabilities. 7. Upcoming Unlocks: Decentralized AI models are rapidly improving and could unlock lots of use-cases we can’t yet see. Some Bittensor subnets are starting to generate actual revenue. x402 (shoutout to the @questflow team, which helped develop it) seems to be gaining steam as a leading agentic payments protocol. Near Intents showing promise. And I’ve been talking with the @ritualnet team, which is nearing public testnet. It uses “heterogeneous compute” (ie a mix of any form of compute rather than the simplified VMs most chains use) to let devs bring AI and offchain data onchain so smart contracts can utilize it/trigger actions. We need more flexible, futureproof platforms like this as innovation goes parabolic. 7. When to flip bullish: (1) OpenAI adds a Worldcoin integration or launches a social network with AI + payments integration, (2) clear evidence that on-chain AI inference can compete with centralized alternatives on cost/speed, (3) massive spike in assets under autonomous management and/or AI+CEX integrations, (4) some new unlock in capabilities. All the ingredients are here. We’re just missing the inevitable spark. When it arrives, it’s going to be epic.

Playing with MEME requires avoiding four major pitfalls First Pitfall You need to know which is the leading hot topic and which is derived from the leading hot topic. Only buy the leading hot topic, avoid others or go for ultra-short trades. Second Pitfall Do not buy MEME derived from hot topics that are crowded with vehicles; some people can be easily misled. Don't just follow the crowd; understand that what makes the leading hot topic famous are the big positions buying the leading hot topics. Neiro, TST, GOAT, TRUMP, and other well-known certain opportunities. There are almost no chances to make big money by buying derived hot topic memes. Derived hot topic memes are mostly known only when people post about them, and most of them are either self-posted or from broad sources, completely different from the leading hot topics. Third Pitfall Be cautious with coins recommended by group friends; do not try them lightly, or you may fall into endless pain from traps. Fourth Pitfall Do not go all-in on one coin; always leave yourself an exit. I hope you can remember these and not foolishly give your money away.