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➴➴➴Æ🜔Ɲ.Ƈꭚ⍴𝔥єɼ👩🏻‍💻People continue to think about <a href="https://lgbtqia.space/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> in terms of <a href="https://lgbtqia.space/tags/2010s" class="mention hashtag" rel="nofollow noopener" target="_blank">#2010s</a> computing, which is part of the reason everyone gets it wrong whether they're <a href="https://lgbtqia.space/tags/antiAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#antiAI</a> or <a href="https://lgbtqia.space/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#tech</a> bros.Look, we had 8GB of <a href="https://lgbtqia.space/tags/ram" class="mention hashtag" rel="nofollow noopener" target="_blank">#ram</a> as the standard for a decade. The standard was set in 2014, and in 2015 <a href="https://lgbtqia.space/tags/AlphaGo" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaGo</a> beat a human at <a href="https://lgbtqia.space/tags/Go" class="mention hashtag" rel="nofollow noopener" target="_blank">#Go</a>. Why? Because, <a href="https://lgbtqia.space/tags/hardware" class="mention hashtag" rel="nofollow noopener" target="_blank">#hardware</a> lags <a href="https://lgbtqia.space/tags/software" class="mention hashtag" rel="nofollow noopener" target="_blank">#software</a> - in <a href="https://lgbtqia.space/tags/economic" class="mention hashtag" rel="nofollow noopener" target="_blank">#economic</a> terms: supply follows demand, but demand can not create its own supply.It takes 3 years for a new chip to go through the <a href="https://lgbtqia.space/tags/technological" class="mention hashtag" rel="nofollow noopener" target="_blank">#technological</a> readiness levels and be released.It takes 5 years for a new <a href="https://lgbtqia.space/tags/chip" class="mention hashtag" rel="nofollow noopener" target="_blank">#chip</a> architecture. E.g. the <a href="https://lgbtqia.space/tags/Zen" class="mention hashtag" rel="nofollow noopener" target="_blank">#Zen</a> architecture was conceived in 2012, and released in 2017.It takes 10 years for a new type of technology, like a <a href="https://lgbtqia.space/tags/GPU" class="mention hashtag" rel="nofollow noopener" target="_blank">#GPU</a>.Now, AlphaGo needed a lot of RAM, so how did it stagnate for a decade after doubling every two years before that?In 2007 the <a href="https://lgbtqia.space/tags/Iphone" class="mention hashtag" rel="nofollow noopener" target="_blank">#Iphone</a> was released. <a href="https://lgbtqia.space/tags/Computers" class="mention hashtag" rel="nofollow noopener" target="_blank">#Computers</a> were all becoming smaller, <a href="https://lgbtqia.space/tags/energy" class="mention hashtag" rel="nofollow noopener" target="_blank">#energy</a> <a href="https://lgbtqia.space/tags/efficiency" class="mention hashtag" rel="nofollow noopener" target="_blank">#efficiency</a> was becoming paramount, and everything was moving to the <a href="https://lgbtqia.space/tags/cloud" class="mention hashtag" rel="nofollow noopener" target="_blank">#cloud</a>. In 2017, most people used their computer for a few applications and a web browser. But also in 2017, companies were starting to build <a href="https://lgbtqia.space/tags/technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#technology</a> for AI, as it was becoming increasingly important.Five years after that, we're in the <a href="https://lgbtqia.space/tags/pandemic" class="mention hashtag" rel="nofollow noopener" target="_blank">#pandemic</a> lockdowns, and people are buying more powerful computers, we have <a href="https://lgbtqia.space/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a>, and companies are beginning to jack up the const of cloud services.<a href="https://lgbtqia.space/tags/Apple" class="mention hashtag" rel="nofollow noopener" target="_blank">#Apple</a> releases chips with large amounts of unified <a href="https://lgbtqia.space/tags/memory" class="mention hashtag" rel="nofollow noopener" target="_blank">#memory</a>, <a href="https://lgbtqia.space/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#ChatGPT</a> starts to break the internet, and in 2025, GPU growth continues to outpace CPU growth, and in 2025 you have a competitor to Apple's unified memory.The era of cloud computing and surfing the <a href="https://lgbtqia.space/tags/web" class="mention hashtag" rel="nofollow noopener" target="_blank">#web</a> is dead.The hype of multi-trillion parameter <a href="https://lgbtqia.space/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLMs</a> making <a href="https://lgbtqia.space/tags/AGI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AGI</a> is a fantasy. There isn't enough power to do that, there aren't enough chips, it's already too expensive.What _is_ coming is AI tech performing well and running locally without the cloud. AI Tech is _not_ just chatbots and <a href="https://lgbtqia.space/tags/aiart" class="mention hashtag" rel="nofollow noopener" target="_blank">#aiart</a>. It's going to change what you can do with your <a href="https://lgbtqia.space/tags/computer" class="mention hashtag" rel="nofollow noopener" target="_blank">#computer</a>.

🧿🪬🍄🌈🎮💻🚲🥓🎃💀🏴🛻🇺🇸For many decades, it seemed professional <a href="https://mastodon.social/tags/Go" class="mention hashtag" rel="nofollow noopener" target="_blank">#Go</a> players had reached a hard limit on how well it is possible to play. They were not getting better.Then, in May 2016, <a href="https://mastodon.social/tags/DeepMind" class="mention hashtag" rel="nofollow noopener" target="_blank">#DeepMind</a> demonstrated <a href="https://mastodon.social/tags/AlphaGo" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaGo</a>, an <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> that could beat the best human Go players.After a few years, the weakest professional players were better than the strongest players before AI. <a href="https://www.henrikkarlsson.xyz/p/go" rel="nofollow noopener" translate="no" target="_blank">https://www.henrikkarlsson.xyz/p/go</a><a href="https://mastodon.social/tags/generativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#generativeAI</a> <a href="https://mastodon.social/tags/llm" class="mention hashtag" rel="nofollow noopener" target="_blank">#llm</a> <a href="https://mastodon.social/tags/chatGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#chatGPT</a> <a href="https://mastodon.social/tags/claude" class="mention hashtag" rel="nofollow noopener" target="_blank">#claude</a> <a href="https://mastodon.social/tags/devin" class="mention hashtag" rel="nofollow noopener" target="_blank">#devin</a> <a href="https://mastodon.social/tags/dalle" class="mention hashtag" rel="nofollow noopener" target="_blank">#dalle</a> <a href="https://mastodon.social/tags/gemini" class="mention hashtag" rel="nofollow noopener" target="_blank">#gemini</a> <a href="https://mastodon.social/tags/copilot" class="mention hashtag" rel="nofollow noopener" target="_blank">#copilot</a> <a href="https://mastodon.social/tags/llms" class="mention hashtag" rel="nofollow noopener" target="_blank">#llms</a> <a href="https://mastodon.social/tags/aiArt" class="mention hashtag" rel="nofollow noopener" target="_blank">#aiArt</a>

IT NewsDeepMind AI rivals the world’s smartest high schoolers at geometry - Enlarge / Demis Hassabis, CEO of DeepMind Technologies and developer of... - <a href="https://arstechnica.com/?p=1997186" rel="nofollow noopener" translate="no" target="_blank">https://arstechnica.com/?p=1997186</a> <a href="https://schleuss.online/tags/alphageometry" class="mention hashtag" rel="nofollow noopener" target="_blank">#alphageometry</a> <a href="https://schleuss.online/tags/alphazero" class="mention hashtag" rel="nofollow noopener" target="_blank">#alphazero</a> <a href="https://schleuss.online/tags/deepmind" class="mention hashtag" rel="nofollow noopener" target="_blank">#deepmind</a> <a href="https://schleuss.online/tags/science" class="mention hashtag" rel="nofollow noopener" target="_blank">#science</a> <a href="https://schleuss.online/tags/alphago" class="mention hashtag" rel="nofollow noopener" target="_blank">#alphago</a> <a href="https://schleuss.online/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a>

Norobiik @Norobiik@noc.social"According to the report, Hassabis said the <a href="https://noc.social/tags/Gemini" class="mention hashtag" rel="nofollow noopener" target="_blank">#Gemini</a> system will combine <a href="https://noc.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a> technology with reinforcement learning techniques used in <a href="https://noc.social/tags/AlphaGo" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaGo</a>, with a goal of giving it new planning and problem-solving capabilities. Another recent report from The Information cited an anonymous source who said that <a href="https://noc.social/tags/Google" class="mention hashtag" rel="nofollow noopener" target="_blank">#Google</a>’s researchers have been using <a href="https://noc.social/tags/YouTube" class="mention hashtag" rel="nofollow noopener" target="_blank">#YouTube</a> (which Google owns) to develop Gemini " <a href="https://noc.social/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#GenerativeAI</a> More details emerge about Google <a href="https://noc.social/tags/DeepMind" class="mention hashtag" rel="nofollow noopener" target="_blank">#DeepMind</a> efforts to surpass <a href="https://noc.social/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#ChatGPT</a> <a href="https://venturebeat.com/ai/more-details-emerge-about-google-deepmind-efforts-to-surpass-chatgpt/" rel="nofollow noopener" target="_blank">https://venturebeat.com/ai/more-details-emerge-about-google-deepmind-efforts-to-surpass-chatgpt/</a>

Adam CookAnother day, another dangerous <a href="https://mastodon.social/tags/Tesla" class="mention hashtag" rel="nofollow noopener" target="_blank">#Tesla</a> <a href="https://mastodon.social/tags/FSDBeta" class="mention hashtag" rel="nofollow noopener" target="_blank">#FSDBeta</a> video.You know, I have been following Tesla's FSD Beta program for a very long time.Back around 2015 or so, the mantra was that the FSD Beta was on the cusp of an "AlphaGo" moment.But, <a href="https://mastodon.social/tags/AlphaGo" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlphaGo</a> is old news now.<a href="https://mastodon.social/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#ChatGPT</a> is white hot.Let's explore why a system capable of partial driving automation (like FSD Beta) and automated driving systems more broadly are decidedly not at all like ChatGPT.<a href="https://youtu.be/4zcqVc37Jcw" rel="nofollow noopener" target="_blank">https://youtu.be/4zcqVc37Jcw</a>

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