It’s fun posting links to Threads in Twitter even if they’re “blocked” in search… such a strange, fear-based decision for Twitter to pursue. Seems like a great opportunity to rethink engagement and cross-linking to boost Twitter even if it’s a competitor #growth

Don’t underestimate Meta’s ad juggernaut. Threads is attracting advertisers who abandoned Twitter for brand safety and real people to advert... threads.net/t/CujmALauebl/?i…

In a remarkable twist of fate, a group of divers recently stumbled upon an extraordinary archeological discovery hidden beneath the serene waters of Lake Lucerne in Switzerland. The accidental unearthing of a 3,000-year-old sunken village has sent shockwaves through the historical community and has provided a profound insight into the region's ancient past. Diving deep into the depths of Lake Lucerne, archeologists found themselves immersed in a world frozen in time. Beneath a thick layer of sediment and mud, they unearthed remnants of a bygone era. Shards of pottery, reminiscent of an intricate civilization, painted a vivid picture of a flourishing society that once thrived in this picturesque region. At the heart of this submerged village lay the remains of wooden pilings, a poignant reminder of the homes that once stood tall upon them. These wooden structures, now preserved by the lake's protective embrace, served as the foundations for houses that were inhabited over three millennia ago. It is believed that these dwellings were constructed during the Bronze Age, a period that spanned from around 3300 to 1200 BCE. The discovery of this sunken village has rewritten the history of Lake Lucerne and its surroundings. Until now, it was widely believed that the region was sparsely populated during ancient times, with little evidence of significant settlements. However, the find demonstrates that a vibrant community existed here long before modern civilization took root. This revelation has opened up a wealth of questions for historians and archeologists alike. Who were the people that once called this submerged village their home? What was their way of life? What led to the eventual submergence of the settlement? These inquiries may offer valuable insights into the societal dynamics and environmental changes that shaped the region during the Bronze Age. The implications of this discovery extend far beyond the confines of Lake Lucerne. It adds another puzzle piece to the larger tapestry of human history, offering a glimpse into the lives of our ancient ancestors. The artifacts recovered from the sunken village provide a tangible link to the past, allowing us to gain a deeper understanding of our shared heritage. The underwater archeologists responsible for this remarkable find are working meticulously to piece together the fragments of the past. They carefully document and analyze each artifact, employing cutting-edge techniques to ensure their preservation and to extract every morsel of information they hold. The diligent efforts of these experts will help unravel the mysteries of the submerged village and shed light on a previously unknown chapter of human civilization. As news of the discovery spreads, researchers and historians from around the world are eagerly awaiting the revelations that will emerge from this extraordinary find. The submerged village in Lake Lucerne stands as a testament to the resilience of the human spirit and the inherent curiosity that drives us to uncover our past. With every dive into the depths of Lake Lucerne, the secrets of this sunken village are slowly coming to the surface. As the story of this ancient community unfolds, it serves as a reminder that there are still hidden wonders waiting to be unearthed, even in the most unexpected places. The accidental discovery of this 3,000-year-old sunken village in Switzerland ignites our imagination and fuels our relentless pursuit of knowledge, inviting us to delve further into the annals of history and explore the vast depths of human civilization.

It’s all about the storytelling. Video is just a better medium for helping people engage with new ideas, especially those so intimately tied... threads.net/t/CuhlJlQOLGi/?i…

When was the last time you had an actual day without any agenda, not even a morning routine or your typical coffee run — no plans and nothing but serendipity and going with the flow?

Stillness is such an under-appreciated state of being in our constantly connected and notified lives. Take a moment to just be and enjoy

This is not a fair fight: Twitter vs Threads, Musk vs Zuckerberg — it’s a cage match playing out in social media with an order of magnitude ... threads.net/t/CuVtBF3O12M/?i… #threadsapp #twitter

Threads just launched and it’s got some interesting potential 💡 #Threads #ThreadsApp

#Config2023 launches bridge the gap between design and development, all in Figma. → Dev Mode, a new space for developers → Variables → Advanced prototyping → Auto layout updates → Font picker → File browser redesign Plus, we previewed the future of Figma with AI and announced the acquisition of @diagram. figma.com/whats-new

AI-generated QR codes using ControlNet are insane. This is going to be increasingly common in ads in the near future. These examples blew my mind (try scanning them): 1. Ancient Village

Excited to announce 🛠️Neuralangelo🛠️! Neuralangelo turns images into 3D meshes with extremely high fidelity and scales up in large environments. Come and chat with us during #CVPR2023, or check out our project page: research.nvidia.com/labs/dir… More details in thread below (1/4)

To give you a sense of how fast AI for 3D modeling is advancing: the field went from the left (original NeRF-reconstructed mesh) to right (Neuralangelo from NVIDIA) in 3 years. Transporting reality into high-fidelity simulation is no longer a pipe dream.

Reading OpenAI's latest paper: "Let's Verify Step by Step". The idea is so simple that it fits in one tweet: For challenging step-by-step problems, give reward at each step, instead of a single reward at the end. Basically, dense reward signal > sparse. The Process Reward Model ("PRM") is able to pick solutions for the difficult "MATH" benchmark much better than the Outcome Reward Model ("ORM"). The obvious next step is to finetune GPT-4 with PRM, which the paper hasn't done yet. A caveat is that PRM requires a lot more human labeling. OpenAI releases their human feedback dataset: 800K step-level labels across 75K solutions to 12K MATH problems.

Well-said! Voyager is an experiment on replacing the agent reinforcement learning stack with text I/O, database, and code interpreter. Code execution is a powerful means to self-refine & drive exploration continually. The cornerstone is a good coding LLM. GPT-3.5 is noticeably worse than GPT-4 in our systematic study.

Imagine being in AI and NOT being followed by @Scobleizer If you’re out there, he will find you.

Evidence of Meaning in Language Models -Train LM w/ next token prediction on corpus of programs -Precisely defining concepts of correctness, semantics -Model learns to generate correct programs shorter & semantically different than those in its training arxiv.org/abs/2305.11169

I'm hunting down the best ChatGPT Plugins with real use cases. I've found a winner in @Zapier. Most of the people that follow me are here for AI Autonomous Agents, so I know you guys are going to love what’s possible with Zapier.