sitemap html / xml for google bot is another seo myth :-)
if you have good internal linking, you can forget about waste time on sitemaps. #SEO#GrowthHacking#GoogleBot#Google
I installed a box high up on a pole somewhere in the Mission. Inside is a crappy Android phone, set to Shazam constantly, 24 hours a day, 7 days a week. It's solar powered, and the mic is pointed down at the street below https://t.co/8D4yYNBPgu
Diffusion Models Are Real-Time Game Engines
abs: https://t.co/ILLlxR9dj3
project page: https://t.co/x8pGRvfD9k
Google presents GameNGen, the first game engine powered entirely by a neural model that enables real-time interaction with a complex environment over long trajectories at high quality. GameNGen can interactively simulate the classic game DOOM at over 20 frames per second on a single TPU. Next frame prediction achieves a PSNR of 29.4, comparable to lossy JPEG compression. Human raters are only slightly better than random chance at distinguishing short clips of the game from clips of the simulation. GameNGen is trained in two phases: (1) an RL-agent learns to play the game and the training sessions are recorded, and (2) a diffusion model is trained to produce the next frame, conditioned on the sequence of past frames and actions.
Web components for wire framing!
https://t.co/p2DAjZ3UTJ
Web components are a perfect tool for prototyping. Glad to see something like this hitting the shelves.
from le french software engineer Luc Lenôtre, currently writing his own Unix-like operating system from scratch using the Rust language, just for fun 🙃
https://t.co/b63ulWVkNx
🎁 User Interface Typography (free eBook), a wonderful guide to designing better typography — from readability and choosing typefaces to modular scale, vertical rhythm, responsive typography and tables. Kindly shared by Alex Baránov.
https://t.co/vd3k1R5XRo
#ux#design
Stability AI is releasing Stable Video Diffusion! 🔥
This is a new image-to-video model that can produce 14-25 frames at resolution 576x1024 given a context frame of the same size. Text2video model coming soon.
Announcement: https://t.co/D5Mem7dbaB
Paper: https://t.co/DwzquzTTbM
Weights: https://t.co/P2lmq343cf
Code: https://t.co/P2lmq343cf
https://t.co/ZZcJ8VviUc
All code has been letters, on a grid, since the days of the teletype machine. How can we advance the state of the art to make code itself more expressive and powerful? How can we layer more meaning onto code?
openapi-devtools: Effortlessly discover API behaviour with a Chrome extension that automatically generates OpenAPI specifications in real time for any app or website.
🔗 https://t.co/Dex3NUJRWK
Good morning, and say "Hello!" to Raspberry Pi 5! The #Pi5 is ×2–3 faster, has PCIe support, a new RTC, and our own silicon designed in‑house here in Cambridge The everything computer. Optimised, https://t.co/tsjQaESmiH. More at https://t.co/6PKTuSiDxq. #RaspberryPi#RaspberryPi5
Interesting post on Hacker News sharing tips, insights, and practical code on how to better fine-tune models like Llama 2.
The best part is that they have released a nice set of notebooks.
https://t.co/WAPxD2EaGM
Open sourcing AudioCraft: Generative AI for audio made simple and available to all
blog: https://t.co/gYBKvLFOo5
musicgen demo: https://t.co/1UvsU6UTzS
AudioCraft consists of three models: MusicGen, AudioGen, and EnCodec. MusicGen, which was trained with Meta-owned and specifically licensed music, generates music from text-based user inputs, while AudioGen, which was trained on public sound effects, generates audio from text-based user inputs. Today, we’re excited to release an improved version of our EnCodec decoder, which allows for higher quality music generation with fewer artifacts; our pre-trained AudioGen model, which lets you generate environmental sounds and sound effects like a dog barking, cars honking, or footsteps on a wooden floor; and all of the AudioCraft model weights and code. The models are available for research purposes and to further people’s understanding of the technology. We’re excited to give researchers and practitioners access so they can train their own models with their own datasets for the first time and help advance the state of the art.
Today at Meta we’re releasing Llama 2, the next generation of our open source LLM available for research and commercial use.
https://t.co/xygo3C5BZY
I am proud to have led the safety effort behind Llama 2. The dedication of the team was key to making our model safer. 🦙
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