与「BATICA」相关的搜索结果

明日‼️ #クリスマス# ‼️12/25(水)‼️ #佐武さん　主催の# #音楽イベント「Deep# Dish アジト 〜脱クリぼっち〜」#恵比寿# #BATICA# にて開催されます‼️ クリスマスは暇‼️ みんなで楽しい時間を過ごしたい‼️ うっきーサンタに会いたい人‼️ 是非是非気軽に来てください☺️✨ #9nine# #佐武宇綺# #DDアジト#

12/25（水）Xmas開催🌙 「DeepDish AJITO〜脱クリぼっち〜」タイムテーブル発表‼️ 恵比寿駅から徒歩3分恵比寿BATICAにて‼️うっきーサンタとメリークリスマス🎄🎁⭐️✨ #DDアジト# #9nine# #佐武宇綺# 一般先行受付中‼️申し込み先のURL👇🏻

A skill is basically a program for an LLM. We're thinking about orchestration as skills too: different message board setups for agents, run side by side, keep whatever works best. with @jamescalam and @micmakarov

I think the best case is to make the "monitor" as un-agentic as possible. We don't mind being "monitored" by various random tiny insects we don't even notice, even guard dogs are fine, but we really do mind if it's a globally connected networked system. And the intermediate case, human security guards with no recording equipment, we mind only a medium amount. The best idea I've come up with so far is to make these monitoring devices out of open-source verifiable hardware that has etched on it an open-weight LLM that classifies for a limited number of activities (basically, just violence; sorry, no scanning for jaywalking or not wearing a mask or drugs or unauthorized manufacturing or illegal immigrants, really just violence) and only records and forwards if that's what it sees. The device has no storage, no ability to load new algorithms, this is all it does. Also, a hash of every recording is published onchain (and a device can't record the next one until it sees confirmation of the previous one) so we can all count how much recording is done. Finally, everyone has a legal right to take any such device they see and grab it and dissassemble and verify the hardware themselves. Explicitly fund university clubs, hacker groups, etc to regularly do this.

Eu secretamente montei o pau do meu amigo o caminho todo até a praia enquanto estava sentada no colo dele No último verão, meu grupo de amigos se espremeu em um carro só para uma viagem pra praia porque um dos carros estava na oficina. Éramos seis e a minha melhor amiga estava dirigindo, então, como a menorzinha, eu fiquei presa sentada no colo de um dos caras no banco de trás. Eu estava usando um vestido de verão super curto com apenas uma calcinha fina por baixo. No segundo em que me sentei no colo dele, meu vestido subiu e minha bunda nua ficou basicamente pressionada direto contra a virilha dele. No começo era só estranho e cheio de solavancos, mas assim que pegamos essa estrada de terra longa cheia de buracos tudo mudou.

Here’s the recap of @cz_binance’s fireside with Anthony Pompliano at Cantor Convergence in Miami: He showed up in Miami just weeks after the biggest hack in crypto history and still looked calm. No stress, no drama. Just there. What stood out: Trust gets built when things go wrong, not when everything is perfect. @cz_binance basically said resilience matters more than never getting hit. That’s how you actually move Bitcoin forward. He also talked about AI and regulation. “Any new technology will go through a phase we can’t make regulation ahead of time. It moves too fast.” Crypto already went through this. AI is going through it now. And security. The $6.3B hack showed the industry (and even banks) hasn’t been taking this seriously enough. AI is making attacks faster. The only real answer is fighting AI with AI and actually working together as an industry instead of everyone doing their own thing. No full recording out yet but @cz_binance said it should be somewhere. While most people are still panicking or pointing fingers, @cz_binance is still focused on the long game. Protecting users and building through the noise. That’s why a lot of us still trust him. 🔶

overheard from friends talking about AI in China, and it’s very alarming - AI short films went massive in China market because of how good the video models are now - the first wave of people who mastered using AI to generate short films and comics made quite some money because they could produce a lot more content than traditional workflows - but within just a few months, everybody and their mom could make equally good short films because all the expertise could be written in a markdown file - when everyone’s more productive, no one actually has an advantage and it’s a race to the bottom. very quickly it became impossible to make money, and everyone’s busier than they were without AI - the only one making money now is companies like bytedance who owns user demand and distribution. they sell ads to creators who pay to get traffic, and eventually ad spend became 80% of those creators’ operating expense, while AI tokens is less than 5% so what are the problems here? 1. there’s no moat if you are creating anything with AI if a human is really good at something, and it’s hard to find more humans who can do the same, they can leverage the scarcity of their skill to get paid very well but if AI is good at something, it will be infinitely replicated, so there’s no scarcity hence you can’t really expect a sustainable business by creating anything with AI 2. more creators created more content people actually liked. that’s a good thing but the economical benefit of that all got absorbed by the distribution platforms there’s a famous chinese poem 遍身罗绮者，不是养蚕人 - it basically says people who dress well aren’t the people making dresses. that’s exactly what’s happening here if our society doesn’t figure out a better way to distribute wealth, AI will help billionaires become trillionaires while average people become more exhausted than ever

TLDR of hyperliquid precompiles: EVM chains on HL (ie HyperEVM & Elysium) have precompiles (basically built in blockchain functions) that allow them to query prices of hypercore assets For example rn on HyperEVM, you can make a simple RPC call to the chain to get the mark price of $HYPE Elysium doesn't have this ability rn but will be able to in 4 weeks. The diff b/w elysium and hyperEVM is that elysium's prices will update every 70ms (hyperEVM is every 1s) And elysium will be able to query entire orderbook, while hyperEVM can only do bid/ask/mark A blockchain being able to query the full depth of a separate orderbook in real time is p cool. Maybe some volatility based univ4 hooks could use such information

for the first time ever, I'm sharing everything I do across all my SaaS to rank on Google and get mentioned by AI every SEO and AEO lesson I've learned is here: 1. we show up in Reddit threads. AI pulls a lot of its answers from Reddit, so Bazzly finds the threads that are fresh, and even the ones already ranking on Google, and gets our products into the top reply 2. we get our products listed #1# in listicles that already rank on Google, with Outrank. when someone asks ChatGPT for the best tool, those are the pages it reads 3. we turn Reddit questions into blog articles. Bazzly shows us what people actually ask, and we feed those questions to Outrank 4. I regularly sit down and find new niches where our products could be useful. I research each one and feed it to Outrank, and Outrank finds new ones on its own too, so our keyword plans keep expanding into new markets 5. we publish an SEO article on our own blogs every day, also with Outrank 6. Outrank helps us refresh old articles regularly. AI and Google both prefer recent pages, so every page has to stay current 7. we build new backlinks every week with Outrank, and every placement gets verified. we also pitch guest posts using Outrank's free guest post database of 278 checked sites, all DR 20+ 8. we regularly ship extremely useful free tools for potential users, and each one ranks on Google and brings people into our products 9. every month we check which AI answers name our products and which don't Outrank's AI Visibility Checker asks ChatGPT, Claude, Gemini and Perplexity real buyer questions, then shows whether we got named, which competitors did, and which sources got cited we feed those sources back into Bazzly, Outrank and our internal social content all of this brings in new users, and then we run loops that turn them into champions who spread the word 10. we incentivize our users to share honest reviews of our products on Instagram, TikTok, X and LinkedIn, and on public review sites 11. we let our users become affiliates, and then we help them make better content about our products. in the last 30 days, ~$8K has been generated by Revid affiliates alone basically every SEO and AEO lesson I learn building Outrank and Bazzly goes straight into every product I run and the idea behind all of it is simple AI recommends the most mentioned product so we make sure every one of our products gets mentioned everywhere Google and AI look: all sorts of blogs, listicles, Reddit, review sites and social and this setup does the job extremely well, for every product we run