As Reddit chases after a legacy social media model are they killing the golden goose they intend on selling? Large Language Models and Machine Learning does a great job of locking the processes and feedback loops. What will that mean for how we build these models in the future and should we do more to consider where they are being trained before applying them to our lives?

https://sizhean.github.io/panohead

https://arxiv.org/abs/2303.13071

About 40 people gathered in downtown Charlottetown Friday to urge the federal government to fund a basic income for Islanders.

As they gathered outside the Coles building, demonstrators encouraged passers-by to sign a petition in support of a universal basic income, which has been discussed on P.E.I. for years.

While the idea has support from all the parties, provincial governments have said they can't move on a livable income program without funding from Ottawa.

"Obviously the ideal would be to have both groups come together, the federal and provincial governments, to be able to support this. Because that's going to be able to make it the most successful. But if the feds won't come on board, then we'll definitely be pressuring the provincial government," said Michelle Neill, leader of the P.E.I. NDP and rally organizer.

"It's about helping people live a dignified life and that's what we need here on P.E.I.," she said.

Neill says recent inflation has made many Islanders' financial situation worse than it was when the motion was first passed.

She said there's a growing number of people who are unhoused, or barely making enough to pay rent.

Abstract:

Connections between neurons can be mapped by acquiring and analyzing electron microscopic (EM) brain images. In recent years, this approach has been applied to chunks of brains to reconstruct local connectivity maps that are highly informative, yet inadequate for understanding brain function more globally. Here, we present the first neuronal wiring diagram of a whole adult brain, containing 5x10^7 chemical synapses between ~130,000 neurons reconstructed from a female Drosophila melanogaster. The resource also incorporates annotations of cell classes and types, nerves, hemilineages, and predictions of neurotransmitter identities. Data products are available by download, programmatic access, and interactive browsing and made interoperable with other fly data resources. We show how to derive a projectome, a map of projections between regions, from the connectome. We demonstrate the tracing of synaptic pathways and the analysis of information flow from inputs (sensory and ascending neurons) to outputs (motor, endocrine, and descending neurons), across both hemispheres, and between the central brain and the optic lobes. Tracing from a subset of photoreceptors all the way to descending motor pathways illustrates how structure can uncover putative circuit mechanisms underlying sensorimotor behaviors. The technologies and open ecosystem of the FlyWire Consortium set the stage for future large-scale connectome projects in other species.

At the end of every year, we give our AGI, ASI, and Singularity predictions.

We are now halfway through the year, and I think we should jump the gun a little bit and give our predictions.

Back on December 30, 2022, I said AGI 2030, ASI 2040, Singularity 2050. This is most probably going to age like milk.

Today, on July 1, 2023, I will say AGI 2028, ASI 2035, Singularity 2036.

What are your AGI, ASI, and Singularity predictions? Also, let us know if your timelines have shrunk in the last 6 months.

If you are lurker please help us grow the community by commenting and posting interesting on topic quality info/discussions so we can attract more people and make this community more interesting to spend time on. ✌️

Previous milestone: https://lemmy.fmhy.ml/post/322564

Next goal: 550 subs

Copied from reddit:

Not a lot of new information, but more discussion on Gemini and what it is going to focus on. It sounds like there's an emphasis on combining Reinforcement Learning with LLMs, but also a few other advancements they are keeping close to their chest. Relevant excerpts:

But Hassabis says his team will combine that technology with techniques used in AlphaGo, aiming to give the system new capabilities such as planning or the ability to solve problems. “At a high level you can think of Gemini as combining some of the strengths of AlphaGo-type systems with the amazing language capabilities of the large models,” Hassabis says. “We also have some new innovations that are going to be pretty interesting.” Gemini was first teased at Google's developer conference last month, when the company announced a raft of new AI projects.

...

Gemini is still in development, a process that will take a number of months, Hassabis says. It could cost tens or hundreds of millions of dollars. Sam Altman, OpenAI CEO, said in April that creating GPT-4 cost more than $100 million.

I do wonder what they will introduce. Maybe a memory system like what was seen in Retro, or maybe even some sort of continual learning paradigm that makes it easier to update? Time will tell

In Toronto, a candidate in this week’s mayoral election who vows to clear homeless encampments released a set of campaign promises illustrated by artificial intelligence, including fake dystopian images of people camped out on a downtown street and a fabricated image of tents set up in a park. In New Zealand, a political party posted a realistic-looking rendering on Instagram of fake robbers rampaging through a jewelry shop. In Chicago, the runner-up in the mayoral vote in April complained that a Twitter account masquerading as a news outlet had used A.I. to clone his voice in a way that suggested he condoned police brutality. What began a few months ago as a slow drip of fund-raising emails and promotional images composed by A.I. for political campaigns has turned into a steady stream of campaign materials created by the technology, rewriting the political playbook for democratic elections around the world.

Note: I still have some posts to go through to decide if I should feature them or not but the process is taking longer than expected so I'm going to take a short break for now. I planned to pin this post once I'm done but IMO there's already enough posts on the list to pin this on sublemmy.

Note2: So not only I started working on the list 2 days late but I also won't finish it the same day I started. Moderating is exhausting.

Ai related

Ai safety/ethical concerns:

• Post - The study of morality for self-driving cars, using the trolly problem. (article from 24.10.2018)
• Post - DOD Committed to Ethical Use of Artificial Intelligence (article from 15.06.2023)
• Post - If AI is plagiarising art and design, then so is every human artist and designer in the world (19.06.2023)

Ai funding:

• Post - Amazon’s generative AI playground is open (article from 23.06.2023)
• Post - France makes high-profile push to be the A.I. hub of Europe setting up challenge to U.S., China (article from 18.06.2023)
• Post - Anthropic Raises $450 Million in Series C Funding to Scale Reliable AI Products (article from 23.05.2023)

Ai research:

• Post - Meet TRACE: A New AI Approach for Accurate 3D Human Pose and Shape Estimation with Global Coordinate Tracking (paper from 5.06.2023)
• Post - AudioPaLM: A Large Language Model That Can Speak and Listen (paper from 22.06.2023)
• Post - Deepmind Researchers Open-Source TAPIR: A New AI Model for Tracking Any Point (TAP) that Effectively Tracks a Query Point in a Video Sequence (paper from 14.06.2023)
• Post - Fast Segment Anything (40ms/image) (paper from 21.06.2023)
• Post - AI Will Eat Itself? This AI Paper Introduces A Phenomenon Called Model Collapse That Refers To A Degenerative Learning Process Where Models Start Forgetting Improbable Events Over Time. (paper from 27.05.2023)
• Post - This AI Paper Proposes A Latent Diffusion Model For 3D (LDM3D) That Generates Both Image And Depth Map Data From A Given Text Prompt (paper from 18.05.2023)
• Post - Stanford Researchers Introduce Sophia: A Scalable Second-Order Optimizer For Language Model Pre-Training (paper from 23.05.2023)
• Post - Say Goodbye to Costly Auto-GPT and LangChain Runs: Meet ReWOO – The Game-Changing Modular Paradigm that Cuts Token Consumption by Detaching Reasoning from External Observations (paper from 23.05.2023)
• Post - A New AI Research Introduces Recognize Anything Model (RAM): A Robust Base Model For Image Tagging (paper from 6.06.2023)
• Post - Researchers from Harvard Introduce Inference-Time Intervention (ITI): An AI Technique that Improves the Truthfulness of Language Models from 32.5% to 65.1% (paper from 6.06.2023)
• Post - 3D Pose and Tracking for Human Action Recognition (paper from 3.04.2023)
• Post - Deepmind’s new AI agent learns 26 games in two hours (article from 19.06.2023)
• Post - META’s SAM (Segment anything model) is improving (image from 6.06.2023)
• Post - Textbooks Are All You Need. 1.3B LLM trained on 51B tokens hits 51% on HumanEval. (paper from 20.06.2023)
• Post - introduce Infinigen, a procedural generator of photorealistic 3D scenes of the natural world. Infinigen is entirely procedural: every asset, from shape to texture, is generated from scratch via randomized mathematical rules, using no external source and allowing infinite variation and composition. Infinigen offers broad coverage of objects and scenes in the natural world including plants, animals, terrains, and natural phenomena such as fire, cloud, rain, and snow. Infinigen can be used to generate unlimited, diverse training data for a wide range of computer vision tasks including object detection, semantic segmentation, optical flow, and 3D reconstruction. We expect Infinigen to be a useful resource for computer vision research and beyond. (paper from 15.06.2023)
• Post - Revolutionizing AI Efficiency: UC Berkeley’s SqueezeLLM Debuts Dense-and-Sparse Quantization, Marrying Quality and Speed in Large Language Model Serving (paper from 13.06.2023)
• Post - I-JEPA: The first AI model based on Yann LeCun’s vision for more human-like AI (blogpost from 13.06.2023)
• Post - Tree of Thoughts: Deliberate Problem Solving with Large Language Models (17.05.2023)
• Post - Full title: Voyager: An Open-Ended Embodied Agent with Large Language Models - “the first LLM-powered embodied lifelong learning agent in Minecraft that continuously explores the world, acquires diverse skills, and makes novel discoveries without human intervention” (25.05.2023 article)
• Post - Apple Researchers Introduce ByteFormer: An AI Model That Consumes Only Bytes And Does Not Explicitly Model The Input Modality (9.06.2023 article)
• Post - Revolutionizing AI Efficiency: Meta AI’s New Approach, READ, Cuts Memory Consumption by 56% and GPU Use by 84% (24.05.2023 paper)

On ai's intelligence:

• Post - Sparks of AGI: early experiments with GPT-4 (youtube video from 6.04.2023)
• Post - Geoffrey Hinton on if LLM “understands” what they’re saying (5.06.2023 yt vid)

Generative videos:

• Post - zeroscope_v2_XL: a new open source 1024x576 video model designed to take on Gen-2 (youtube video from 24.06.2023)

Generative images:

• Post - Midjourney V5.2 released (article from 23.06.2023)
• Post - Microsoft: Bing Image Creator Will See Big Improvements In A Month (article from 21.06.2023)
• Post - Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold (18.05.2023 announcement)

Generative sound/speech:

• Post - Introducing Voicebox: The first generative AI model for speech to generalize across tasks with state-of-the-art performance (blogpost from 16.06.2023)
• Post - Meta releases new SOTA text to music model MusicGen. Demonstrated samples are better than existing models including Google’s MusicLM (8.06.2023 paper)

Ai regulation:

• Post - Stanford grades Leading LLMs’ Compliance with the Draft EU AI Act (reddit repost from 24.06.2023)
• Post - OpenAI has been publicly asking for AI regulation, but in the meanwhile lobbied its way to loose it for itself (article from 20.06.2023)
• Post - Biden to meet with A.I. experts in San Francisco to discuss how to regulate the field (article from 20.06.2023)

Ai products/tools:

• Post - We made a comprehensive list of popular AI agents out there (reddit repost from 23.06.2023)
• Post - Creating what I always wanted from the singularity: Alpha version of a AI Librarian/Analyst that finds the best voices and most relevant articles, podcasts, and videos for a topic and gives me a synthesis (reddit repost from 23.06.2023)
• Post - Bing Chat Tests Innovative Image Recognition Feature: Currently Available for “5% of Searches” (article from 15.06.2023)

Large Language Models:

• Post - MoasicML open sources new 8k context length MPT-30B language model under Apache 2.0 license (blogpost from 22.06.2023)
• Post - Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding (reddit repost from 19.06.2023)

Ai experiments and potential use cases:

• Post - ilumine AI turn 2D image into 3D scene (tweet from 24.06.2023)
• Post - VTM: Bloodlines AI remaster ( TemporalKit v1.3 ) (reddit repost from 28.04.2023)
• Post - Spirtual voice chat with a ChatGPT-driven monk in VR (2 month old reddit repost (I couldn't find the reddit post to get the absolute date))
• Post - ChatGPT in Skyrim VR with lip synced voice generation (reddit repost from 26.04.2023)
• Post - Created an AI Basketball Referee. How will AI change sports? (reddit repost from 1.06.2023)
• Post - A new version of the self coding voice assistant i showed yesterday, this time with a more complex command (reddit repost from 24.05.2023)

Ai use cases:

• Post - Trying out the new generative fill feature in Photoshop Beta (reddit repost from 23.05.2023)
• Post - Using midjourney, Photoshop (beta) and After Effects to create chill pixelart animation (with link to breakdown) (article from 24.05.2023)

Adapting ai into society:

• Post - An artificial intelligence system based on ChatGPT technology will manage the handling of 112 calls at peak times. The use of this technology is planned to start in 2025. (article from 20.06.2023)
• Post - Marvel used AI to create opening intro for their new series: Secret Invasion (article from 22.06.2023)
• Post - A robot🤖 took my order at checkers today. They’re coming for our Wendy’s 👩‍🦰👩‍🦰 jobs next (reddit repost from 16.05.2023)

Ai companies:

• Post - Six more companies competing with OpenAI (article from 22.06.2023)

Ai and science:

• Post - Stanford Institute for Human-Centered AI- Demis Hassabis: Using AI To Accelerate Scientific Discovery (event/talk from 28.04.2023)
• Post - To accelerate search for an Alzheimer’s cure, scientists use artificial intelligence to identify likely drug targets (article from 15.05.2023)
• Post - “We report a model that can go from natural language instructions, to robot actions, to synthesized molecule with an LLM. We synthesized catalysts, a novel dye, and insect repell… (paper from 11.04.2023)
• Post - Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity (paper from 19.06.2023)
• Post - Illumina Launches Genomic Sequencing AI (4.06.2023 reddit repost)

Ai and robotics:

• Post - Introducing VRB: Use large-scale human videos to train a general-purpose affordance model to jumpstart any robotics paradigm! (tweet from 13.06.2023)
• Post - Finished my PhD researching “self-aware AI 3D printers” at Cambridge! (reddit repost from 21.06.2023)
• Post - RoboCat: A self-improving robotic agent [Google Deepmind] (20.06.2023)
• Post - Berkeley researcher deploys robots and AI to increase pace of research by 100 times (article from 23.04.2023)
• Post - Figure raises $70M to build its humanoid robots (23.05.2023 article)
• Post - Tesla Bot has got our competitive juices flowing, says Boston Dynamics CEO (22.05.2023 article)

Misc:

• Post - Neural Networks Need Data to Learn. Even If It’s Fake. (article from 16.06.2023)
• Post - Bing vs ChatGPT vs Bard vs C.ai vs PH (Worldwide Engagement) (image from 22.05.2023)
• Post - A bot on the side: is it adultery if you cheat with an AI companion? (article from 15.06.2023)
• Post - Star Trek The Next Generation s02e09 on sentience (aired feb 11, 1989)

Discussions on lemmy:

• Post - Minute of optimism: chatbots help me working on my communication skills and boost the quality of my social life. (reddit repost from 2.06.2023)
• Post - A personal AI assistant that knows you and your needs better everyday (reddit repost from 19.05.2023)

Technology related

Quantum computers:

• Post - An IBM Quantum Computer Beat a Supercomputer in a Benchmark Test (article from 20.06.2023)

Misc:

• Post - SpaceX successfully launches world’s first “space factory” (article from 18.06.2023)
• Post - Scientists Successfully Transmit Space-Based Solar Power to Earth for the First Time (2.06.2023 article)
• Post - Scientists create synthetic human embryos using stem cells in major breakthrough (15.06.2023 article)

Universal Basic Income

• Post - Are guaranteed-income programs working? (article from 16.06.2023)
• Post - Five proven benefits of Universal Basic Income (article from 11.06.2023)
• Post - How universal basic income’s impact on people’s finances could transform the nation’s health (article from 12.06.2023)

Ai related

• Post - 'Labour leader Keir Starmer says he is "not attracted to the idea of universal basic income" in response to advances in AI, and the focus should be on skills and retraining' (13.06.2023 tweet)

I've spend a lot of time on r/singularity the past year but over that time i have seen it grow pretty disappointing.

The complexity of "The Singularity" means that some great articles, like those on nanoparticles, get overlooked and buried because they're harder to understand than a ChatGPT meme (no offense to those, though).

Finding new, high-quality content to share on this topic isn't easy either, especially with the influx of sensationalist articles. And if I do find a great article, chances are high that @Martineski has already posted it (good job, by the way).

So, here's an idea: why don't we get some futuristic help? There's a bunch of websites that are generally posted here more frequently because there content is just more aligned with out interests (my guess). We could have an AI sift through the .rss feeds from these sites, pick out the best articles, post them here and even include a brief summary explaining why you, an interested singularity enjoyer should care.

This could help us find and understand the right content more easily, and kickstart more engaging discussions about the singularity and our future. It's a proactive step to keep our community vibrant and informative. Thoughts?

Yes this post was partly made with help from ChatGPT.

Github : https://github.com/casia-iva-lab/fastsam

Arxiv : https://arxiv.org/abs/2306.12156

Demo : https://huggingface.co/spaces/An-619/FastSAM

Full title: introduce Infinigen, a procedural generator of photorealistic 3D scenes of the natural world. Infinigen is entirely procedural: every asset, from shape to texture, is generated from scratch via randomized mathematical rules, using no external source and allowing infinite variation and composition. Infinigen offers broad coverage of objects and scenes in the natural world including plants, animals, terrains, and natural phenomena such as fire, cloud, rain, and snow. Infinigen can be used to generate unlimited, diverse training data for a wide range of computer vision tasks including object detection, semantic segmentation, optical flow, and 3D reconstruction. We expect Infinigen to be a useful resource for computer vision research and beyond.

Paper: https://huggingface.co/papers/2306.09310

Github: https://github.com/princeton-vl/infinigen

If you are lurker please help us grow the community by commenting and posting interesting on topic quality info/discussions so we can attract more people and make this community more interesting to spend time on. ✌️

With the rise of large language models (LLMs) like GPT-4, I really look forward to having a personal AI assistant that has long-term memory and can learn what I like, hate, want and need. It could help me like a real assistant or even a partner. It would know my strengths, weaknesses and could give me a plan to become the best version of myself. It could give me very personalized advice and track my progress on various aspects of life, such as work, relationships, fitness, diet, etc.

It could have a model of my mind and know exactly what I prefer or dislike. For example, it could predict if I would enjoy a movie or not (I know we already have recommendation systems, but what I'm saying is on a next level, as it knows everything about me and my personality, not just other movies I liked). It could be better than any therapist in the world, as it knows much more about me and is here to help 24/7.

I think we're very close to this technology. The only big problems to achieve this are the context limit of LLMs and privacy concerns.

What are your opinions on this?