➴➴➴Æ🜔Ɲ.Ƈꭚ⍴𝔥єɼ👩🏻💻<p>People continue to think about <a href="https://lgbtqia.space/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> in terms of <a href="https://lgbtqia.space/tags/2010s" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>2010s</span></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 noreferrer" target="_blank">#<span>antiAI</span></a> or <a href="https://lgbtqia.space/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tech</span></a> bros.</p><p>Look, we had 8GB of <a href="https://lgbtqia.space/tags/ram" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ram</span></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 noreferrer" target="_blank">#<span>AlphaGo</span></a> beat a human at <a href="https://lgbtqia.space/tags/Go" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Go</span></a>. </p><p>Why? Because, <a href="https://lgbtqia.space/tags/hardware" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hardware</span></a> lags <a href="https://lgbtqia.space/tags/software" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>software</span></a> - in <a href="https://lgbtqia.space/tags/economic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>economic</span></a> terms: supply follows demand, but demand can not create its own supply.</p><p>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 noreferrer" target="_blank">#<span>technological</span></a> readiness levels and be released.</p><p>It takes 5 years for a new <a href="https://lgbtqia.space/tags/chip" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>chip</span></a> architecture. E.g. the <a href="https://lgbtqia.space/tags/Zen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Zen</span></a> architecture was conceived in 2012, and released in 2017.</p><p>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 noreferrer" target="_blank">#<span>GPU</span></a>.</p><p>Now, AlphaGo needed a lot of RAM, so how did it stagnate for a decade after doubling every two years before that?</p><p>In 2007 the <a href="https://lgbtqia.space/tags/Iphone" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Iphone</span></a> was released. <a href="https://lgbtqia.space/tags/Computers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Computers</span></a> were all becoming smaller, <a href="https://lgbtqia.space/tags/energy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>energy</span></a> <a href="https://lgbtqia.space/tags/efficiency" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>efficiency</span></a> was becoming paramount, and everything was moving to the <a href="https://lgbtqia.space/tags/cloud" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cloud</span></a>. </p><p>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 noreferrer" target="_blank">#<span>technology</span></a> for AI, as it was becoming increasingly important.</p><p>Five years after that, we're in the <a href="https://lgbtqia.space/tags/pandemic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pandemic</span></a> lockdowns, and people are buying more powerful computers, we have <a href="https://lgbtqia.space/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a>, and companies are beginning to jack up the const of cloud services.</p><p><a href="https://lgbtqia.space/tags/Apple" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Apple</span></a> releases chips with large amounts of unified <a href="https://lgbtqia.space/tags/memory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>memory</span></a>, <a href="https://lgbtqia.space/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ChatGPT</span></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.</p><p>The era of cloud computing and surfing the <a href="https://lgbtqia.space/tags/web" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>web</span></a> is dead.</p><p>The hype of multi-trillion parameter <a href="https://lgbtqia.space/tags/LLMs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLMs</span></a> making <a href="https://lgbtqia.space/tags/AGI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AGI</span></a> is a fantasy. There isn't enough power to do that, there aren't enough chips, it's already too expensive.</p><p>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 noreferrer" target="_blank">#<span>aiart</span></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 noreferrer" target="_blank">#<span>computer</span></a>.</p>