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N_E_O<p>Here is a Podcast about <a href="https://mastodon.social/tags/AlphaEvolve" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AlphaEvolve</span></a> if you like listening to it:</p><p><a href="https://open.spotify.com/episode/27NyNebqx3BjYjGbgNX46D?si" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">open.spotify.com/episode/27NyN</span><span class="invisible">ebqx3BjYjGbgNX46D?si</span></a></p>
N_E_O<p>What do you think about <a href="https://mastodon.social/tags/AlphaEvolve" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AlphaEvolve</span></a>?Yes, it is a code optimization and this is nothing new. Still the approach to use <a href="https://mastodon.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> combined with <a href="https://mastodon.social/tags/evolutionaryprogramming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>evolutionaryprogramming</span></a> approaches is something that leads to still unseen developments in my opinion. Should not be underestimated:</p><p><a href="https://deepmind.google/discover/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">deepmind.google/discover/blog/</span><span class="invisible">alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/</span></a></p>
Dr. Thompson<p>🧬 What if your algorithm could breed itself into something smarter?<br>AlphaEvolve just cracked a 56-year-old math record—and it wasn’t coded by humans.<br>Google’s new AI doesn't just solve problems. It invents new ways to think.<br>Read how it saved $1B, outperformed 75% of human math benchmarks, and evolved a new logic.<br>👇 Dive in:<br><a href="https://medium.com/@rogt.x1997/the-algorithm-that-bred-itself-alphaevolves-frightening-brilliance-002d8f53d406" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@rogt.x1997/the-alg</span><span class="invisible">orithm-that-bred-itself-alphaevolves-frightening-brilliance-002d8f53d406</span></a></p><p><a href="https://mastodon.social/tags/AlphaEvolve" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AlphaEvolve</span></a> <a href="https://mastodon.social/tags/AIrevolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIrevolution</span></a> <a href="https://mastodon.social/tags/DeepMind" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepMind</span></a><br><a href="https://medium.com/@rogt.x1997/the-algorithm-that-bred-itself-alphaevolves-frightening-brilliance-002d8f53d406" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@rogt.x1997/the-alg</span><span class="invisible">orithm-that-bred-itself-alphaevolves-frightening-brilliance-002d8f53d406</span></a></p>
Ny Teknik<p>Ett av matematikens sju stora mysterier kan snart få sin lösning. Med hjälp av Googles ai-jätte Deepmind jagar forskaren Javier Gómez Serrano svaret.</p><p>Ett av matematikens sju stora mysterier kan snart få sin lösning. Med hjälp av Googles ai-jätte Deepmind jagar forskaren Javier Gómez Serrano svaret på Navier–Stokes-ekvationerna.<a href="https://friendica.helvetet.eu/search?tag=google" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>google</span></a> <a href="https://friendica.helvetet.eu/search?tag=demishassabis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>demishassabis</span></a> <a href="https://friendica.helvetet.eu/search?tag=deepmind" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deepmind</span></a> <a href="https://friendica.helvetet.eu/search?tag=artificiellintelligens" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificiellintelligens</span></a> <a href="https://friendica.helvetet.eu/search?tag=alphaevolve" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>alphaevolve</span></a> <a href="https://friendica.helvetet.eu/search?tag=ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://friendica.helvetet.eu/search?tag=topp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>topp</span></a> <a href="https://friendica.helvetet.eu/search?tag=tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://friendica.helvetet.eu/search?tag=matematik" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matematik</span></a><br><a href="https://www.nyteknik.se/tech/med-deepminds-hjalp-ska-forskarna-knacka-200-ar-gammal-mattegata/4374209" rel="nofollow noopener" target="_blank">Med Deepminds hjälp ska forskarna knäcka 200 år gammal mattegåta</a></p>
Zoomers of the Sunshine Coast 🇨🇦<p>🧬 The Future Of Discover: What AlphaEvolve Tells Us About the Future of Human Knowledge<br><a href="https://www.buzzsprout.com/2405788/episodes/17332144" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">buzzsprout.com/2405788/episode</span><span class="invisible">s/17332144</span></a> <br><a href="https://helioxpodcast.substack.com/publish/post/165883970" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">helioxpodcast.substack.com/pub</span><span class="invisible">lish/post/165883970</span></a></p><p>The kind of breakthrough that makes you wonder what else we've been missing, what other solutions have been hiding in plain sight, waiting for the right kind of intelligence to find them.</p><p><a href="https://mstdn.ca/tags/AlphaEvolve" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AlphaEvolve</span></a> <a href="https://mstdn.ca/tags/DeepMind" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepMind</span></a> <a href="https://mstdn.ca/tags/Google" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Google</span></a>#AI <a href="https://mstdn.ca/tags/AlphaEvolve" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AlphaEvolve</span></a> <a href="https://mstdn.ca/tags/DeepMind" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepMind</span></a> <a href="https://mstdn.ca/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mstdn.ca/tags/OpenScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenScience</span></a> <a href="https://mstdn.ca/tags/TechEthics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechEthics</span></a> <a href="https://mstdn.ca/tags/AlgorithmicDiscovery" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AlgorithmicDiscovery</span></a> <a href="https://mstdn.ca/tags/ComputerScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputerScience</span></a> <a href="https://mstdn.ca/tags/Innovation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Innovation</span></a> <a href="https://mstdn.ca/tags/TechCriticism" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechCriticism</span></a></p>
Futuro Prossimo :verified:<p>AlphaEvolve di DeepMind non è solo un altro modello AI. È il primo a migliorare sé stesso mentre lavora, risolvendo problemi vecchi 300 anni e liberando potenza di calcolo senza costruire un singolo server. Sta iniziando la fase in cui smettiamo di capire cosa stia succedendo. </p><p><a href="https://mastodon.uno/tags/futuroprossimo" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>futuroprossimo</span></a> <a href="https://mastodon.uno/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.uno/tags/AlphaEvolve" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AlphaEvolve</span></a></p><p><a href="https://www.futuroprossimo.it/2025/06/alphaevolve-lai-che-migliora-se-stessa-e-forse-tutto-il-resto/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">futuroprossimo.it/2025/06/alph</span><span class="invisible">aevolve-lai-che-migliora-se-stessa-e-forse-tutto-il-resto/</span></a></p>
InfoQ<p>Did you know <a href="https://techhub.social/tags/AlphaEvolve" class="mention hashtag" rel="tag">#<span>AlphaEvolve</span></a> uses Large Language Models ( <a href="https://techhub.social/tags/LLMs" class="mention hashtag" rel="tag">#<span>LLMs</span></a>) to discover &amp; optimize algorithms?</p><p>From hardware design to AI training, they&#39;re optimizing across various domains. Dive into the details with Google DeepMind&#39;s paper on their AlphaEvolve coding agent.</p><p>Read <a href="https://techhub.social/tags/InfoQ" class="mention hashtag" rel="tag">#<span>InfoQ</span></a> for all the insights: <a href="https://bit.ly/3ZDGuOo" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">bit.ly/3ZDGuOo</span><span class="invisible"></span></a> </p><p><a href="https://techhub.social/tags/GoogleDeepMind" class="mention hashtag" rel="tag">#<span>GoogleDeepMind</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="tag">#<span>AI</span></a> <a href="https://techhub.social/tags/Agents" class="mention hashtag" rel="tag">#<span>Agents</span></a></p>
José A. Alonso<p>Readings shared May 21, 2025. <a href="https://jaalonso.github.io/vestigium/posts/2025/05/21-readings_shared_05-21-25" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">jaalonso.github.io/vestigium/p</span><span class="invisible">osts/2025/05/21-readings_shared_05-21-25</span></a> <a href="https://mathstodon.xyz/tags/ACL2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ACL2</span></a> <a href="https://mathstodon.xyz/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mathstodon.xyz/tags/AlphaEvolve" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AlphaEvolve</span></a> <a href="https://mathstodon.xyz/tags/CommonLisp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CommonLisp</span></a> <a href="https://mathstodon.xyz/tags/CompSci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CompSci</span></a> <a href="https://mathstodon.xyz/tags/Emacs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Emacs</span></a> <a href="https://mathstodon.xyz/tags/GeneticAlgoritm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GeneticAlgoritm</span></a> <a href="https://mathstodon.xyz/tags/ITP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ITP</span></a> <a href="https://mathstodon.xyz/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> <a href="https://mathstodon.xyz/tags/LeanProver" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LeanProver</span></a> <a href="https://mathstodon.xyz/tags/Math" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Math</span></a> <a href="https://mathstodon.xyz/tags/OrgMode" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OrgMode</span></a> <a href="https://mathstodon.xyz/tags/Programming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Programming</span></a> <a href="https://mathstodon.xyz/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a></p>
José A. Alonso<p>OpenEvolve: Open-source implementation of AlphaEvolve. ~ Asankhaya Sharma. <a href="https://github.com/codelion/openevolve" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/codelion/openevolve</span><span class="invisible"></span></a> <a href="https://mathstodon.xyz/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mathstodon.xyz/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> <a href="https://mathstodon.xyz/tags/AlphaEvolve" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AlphaEvolve</span></a> <a href="https://mathstodon.xyz/tags/Math" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Math</span></a></p>
AlexCrimi<p><a href="https://mstdn.social/tags/AlphaEvolve" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AlphaEvolve</span></a>: A <a href="https://mstdn.social/tags/Gemini" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Gemini</span></a>-powered coding agent for designing advanced algorithms and research. So, are we all unemployed? <a href="https://deepmind.google/discover/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">deepmind.google/discover/blog/</span><span class="invisible">alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/</span></a></p>

🧠 Torno su #AlphaEvolve, per sottolineare che non si tratta di un progetto sperimentale, ma sta già ottimizzando l’infrastruttura di #Google.

💡 E il potenziale va ben oltre all'infrastruttura di Google: linkedin.com/posts/alessiopoma

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✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: bit.ly/newsletter-alessiopomar