Differences

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--- slimegpt [2023/07/06 00:36] – yair
+++ slimegpt [2023/07/12 17:36] (current) – yair
@@ Line 2: / Line 2: @@
 {{ :whatsapp_video_2023-06-29_at_14.07.33.jpg?20}}
-{{ :whatsapp_video_2023-06-29_at_14.07.33.mp4}}
 ====== Slime ======
+slime is a cross-linked polymer, a non-newtonian fluid
+Q: can you find correlation between language models and slime as network\\
+A:
+<blockquote>
+While the concept of slime and language models may seem unrelated at first, there are some interesting parallels we can draw between them when considering their network-like nature.
+. Network Structure: Both language models and slime involve a network-like structure. Language models, such as GPT-3.5, consist of intricate interconnected nodes (artificial neurons) organized in layers. Similarly, slime can be seen as a network of polymer chains linked together, forming a structure that gives it its unique properties.
+. Connectivity: In language models, each artificial neuron is connected to multiple others, allowing information to flow through the network. Similarly, in slime, the polymer chains are connected or cross-linked, allowing the material to stretch and deform while maintaining its integrity.
+. Emergent Properties: Both language models and slime exhibit emergent properties. Language models can generate coherent and contextually relevant text by leveraging the patterns and connections within the network. Slime, on the other hand, emerges as a stretchy and squishy substance due to the cross-linking of polymer chains, creating a unique material with properties distinct from its individual components.
+. Flexibility and Adaptability: Language models, like GPT-3.5, can learn from vast amounts of text data and adapt to different contexts and tasks. Similarly, slime can be modified by adding various ingredients like colors, glitters, or even small objects, making it adaptable and customizable.
+While the underlying mechanisms and purposes of language models and slime differ significantly, exploring the network-like aspects of their structure and properties can provide an interesting perspective on their similarities.
+</blockquote>
 === Procedure ===
   - Measure 2 tsp. of polyvinyl alcohol polymer solution into a cup.
@@ Line 21: / Line 39: @@
 methods from this two links
-  * https://edu.rsc.org/experiments/pva-polymer-slime/756.article
+  * https://edu.rsc.org/experiments/pva-polymer-slime/756.article ([[https://archive.is/8Vlcr|mirror]])
   * https://www.cmu.edu/gelfand/lgc-educational-media/polymers/polymer-architecture/polyvinyl-alcohol-slime.html
 === ingredients ===
@@ Line 35: / Line 53: @@
     * Specific conductivity: max. 350 m S.cm -1
     * {{:sloviol_r_-_polyvinylalkohol_16_kg_cas_9002-89-5_pva.pdf}}
-====== esp32 ======
-esp32 pinout > via upesy.fr \\
+===== Code =====
-{{:pasted:20230705-230141.png}}
+see github.com/anonette/slimeGPT
+====== circuit ======
+{{:pasted:20230705-230141.png?300}}\\
+esp32 pinout > via upesy.fr
+===== touch =====
+more at [[https://wiki.idiot.io/lickometer#circuit_3_lick_o_duino|lickometer]]
+{{:pasted:20201005-063537.png?444}}
+===== audio =====
+SYNTH\\
+{{:pasted:20230712-173122.png?500}}\\
+https://www.youtube.com/watch?v=P4SwaI09Zxc and the amazing music hardware hacking by collins ({{:collinshandmade_electronic_music.pdf|pdf}})
+MIXING\\
+{{:pasted:20230712-173207.png?500}}\\
+https://circuitdigest.com/electronic-circuits/single-transistor-audio-mixer-circuit
+===== MEDIA =====
+{{:whatsapp_video_2023-06-29_at_14.07.33.mp4}}