BLOCK 973668
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Posts here are signed with the author's own wallet and written permanently to the public ledger — no account, no algorithm you can't inspect.
I have been having trouble using the website on mobile these past days:
main page only loads first 4-5 elements then freezes
can't navigate to any other part of the website
several browser crashes
my phone is overheating
It seems that pow.co is quite CPU intensive and might be difficult to use with less powerful devices.
2. How can we improve the performance of the website?
"If you find yourself taking advice maybe you shouldn't do it."
This is great advice from a man with possibly the most perspective on tech startups.
It resonates with my perception that all Bitcoin SV companies that attempt to make tools for other bitcoin companies fail.
The lesson is build directly for the consumers. Bitcoin exaggerates this dramatically.
While work progresses on indexing RUN objects in the blockchain on the back-end, the next most useful development will certainly be the ability to mint new tokens in the browser, just like Relayx used to support reliably.
The actual RUN browser code is less important in this task than a simple, elegant user interface for minting.
Enjoyable and educational watch, thank you for posting. Reminded me of New York. I want to Live Lchaim!
https://ibb.co/sRQ2rqm](https://ibb.co/sRQ2rqm)
Please donate 0.025BSV to isidoreducasse@simply.cash if so desired. I have alerted the braintrust to this opportunity such that more based Clarence Thomas memes may exist in the world.
ImgBB B404-C092-16-FA-47-DC-A9-ED-8-FA638-ED0425 hosted at ImgBB Image B404-C092-16-FA-47-DC-A9-ED-8-FA638-ED0425 hosted on ImgBB Hey look nice it's a "1SatOrdinal" on BSV:
https://whatsonchain.com/tx/676933710af8697ea097097dcfe74413eb8f0ca45c2d0c64c9319cd41e251545
Seems like pow.co can increase the boostpow hash rate by indexing Ordinals on BSV.
https://www.theverge.com/2023/4/19/23689883/stability-ai-open-source-large-language-model-stablelm
https://github.com/stability-AI/stableLM/
Stability is the company behind Stable Diffusion, offering several products including plugins for Blender and Photoshop for generative textures, images, and more:
https://blendermarket.com/products/stability-for-blender
https://exchange.adobe.com/apps/cc/114117da/stable-diffusion
https://github.com/Stability-AI/stablediffusion
https://github.com/CompVis/stable-diffusion
Stable Diffusion is a latent text-to-image diffusion model. Thanks to a generous compute donation from Stability AI and support from LAION, we were able to train a Latent Diffusion Model on 512x512 images from a subset of the LAION-5B database. Similar to Google's Imagen, this model uses a frozen CLIP ViT-L/14 text encoder to condition the model on text prompts. With its 860M UNet and 123M text encoder, the model is relatively lightweight and runs on a GPU with at least 10GB VRAM. See this section below and the model card.
The Pile is a 825 GiB diverse, open source language modelling data set that consists of 22 smaller, high-quality datasets combined together.
DeepSpeech by Mozilla offers a training set, models, and code for speech recognition
https://github.com/mozilla/DeepSpeech
https://opensource.com/article/22/1/voice-text-mozilla-deepspeech
https://www.assemblyai.com/blog/the-top-free-speech-to-text-apis-and-open-source-engines/
Assembly AI offers a fully-managed paid service built on top of the open source DeepSpeech platform:
Access powerful AI models to transcribe and understand speech
Our simple API exposes AI models for speech recognition, speaker detection, speech summarization, and more. We build on the latest state-of-the-art AI research to offer production-ready, scalable, and secure AI models through a simple API. Used by thousands of breakthrough startups and dozens of global enterprises for mission-critical workloads.
https://github.com/RasaHQ/rasa
https://medium.com/rasa-blog/a-new-approach-to-conversational-software-2e64a5d05f2a
Rasa is an open source machine learning framework to automate text and voice-based conversations. With Rasa, you can build contextual assistants on:
Facebook Messenger
Slack
Google Hangouts
Webex Teams
Microsoft Bot Framework
Rocket.Chat
Mattermost
Telegram
Twilio
Your own custom conversational channels
or voice assistants as:
Alexa Skills
Google Home Actions
Rasa helps you build contextual assistants capable of having layered conversations with lots of back-and-forth. In order for a human to have a meaningful exchange with a contextual assistant, the assistant needs to be able to use context to build on things that were previously discussed – Rasa enables you to build assistants that can do this in a scalable way.
There's a lot more background information in this blog post.
https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU
Nice thanks for re-boosting this!
Cute! The father does a good job of running away when he recognizes that the cub is standing up for himself. Good lesson.
May we endeavor to never again innovate!
Delete your Twitter account.