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AI News for 7/9/2024-7/10/2024. We checked 7 subreddits, 384 Twitters and 29 Discords (463 channels, and 2339 messages) for you. Estimated reading time saved (at 200wpm): 250 minutes. You can now tag @smol_ai for AINews discussions!

Yesterday was busy busy, today wasn't. A smattering of tiny morsels, more entertaining than anything:

• HuggingFace released timestamped Whisper running in the browser (transoformers.js)
• @truth_terminal became the first "semiautonomous" Twitter bot to get VC funding
• Msft and Apple abruptly left the OpenAI board
• Poe cloned Artifacts - kinda

Meta: we are in the final stages of a major upgrade to reddit comments, following the hallucination conversation from yesterday.

The Table of Contents and Channel Summaries have been moved to the web version of this email: !

AI Twitter Recap

all recaps done by Claude 3.5 Sonnet, best of 4 runs.

Yi AI Model Updates and Integrations

• Yi model gaining popularity on GitHub: @01AI_Yi shared that the Yi model now has 7.4K stars and 454 forks on GitHub, with many amazing projects being built using their LLMs. They encourage exploring the Yi models and sharing work with them.
• Potential integration with Axolotl: @cognitivecompai suggested that Yi should integrate Axolotl's pregeneration capabilities. In a separate tweet, @cognitivecompai mentioned it would be really cool to integrate Axolotl's preprocessing features as well.

Cognitive Computing AI's Tweets and Discussions

• Household/small business AI appliance concept: @cognitivecompai pointed out that the concept of a household/small business AI appliance is made possible by AMD technologies.
• Scribbled out content in a tweet: @cognitivecompai asked @victormustar about something that was scribbled out in a tweet.

AI and Human Cognition

• System 2 distillation in humans: @jaseweston explained that in humans, "System 2 distillation" methods are called automaticity, procedural memory, or informally to make something "second nature".

Miscellaneous

• Phage x host ML prediction review: @elicitorg retweeted @yawnxyz, who mentioned potentially doing a review on all phage x host ML prediction efforts with @elicitorg and using some AI and spreadsheets.

AI Reddit Recap

Across r/LocalLlama, r/machinelearning, r/openai, r/stablediffusion, r/ArtificialInteligence, /r/LLMDevs, /r/Singularity. Comment crawling works now but has lots to improve!

AI Model Releases and Developments

• Meta releases Chameleon models: In /r/LocalLLaMA, Meta released Chameleon-7b and Chameleon-30b models on HuggingFace, which can combine text and images as input and output using a unified architecture with tokenization for both modalities.
• Salesforce's xLAM-1b outperforms GPT-3.5 in function calling: Despite being only 1B parameters, Salesforce's xLAM-1b model surpasses GPT-3.5's function calling abilities, as discussed in /r/LocalLLaMA. This could enable more Rabbit R1 clones soon.
• Anole pioneers interleaved text-image-video generation: /r/StableDiffusion highlights Anole as the first open-source multimodal LLM to support text-image-video generation up to 720p 144fps, with promising results demonstrated.
• Phi-3 Mini expands with function calling: The Phi-3 Mini model has been updated with function calling capabilities, growing from 3.8B to 4.7B parameters. It shows competitive performance vs Mistral-7b v3.

AI Applications and Use Cases

• Xiaomi unveils fully automated "smart" factory: /r/singularity shares news of Xiaomi's new factory that will operate 24/7 without people, producing 60 smartphones per minute, showcasing AI's potential to transform manufacturing.
• Minecraft agents collaborate via Google Sheets and newsletters: AI agents playing Minecraft are now logging progress in Google Sheets, with a journalist agent creating newsletters to share updates, demonstrating AI systems cooperating on tasks.
• AI generates retro gaming visuals at playable framerates: In /r/StableDiffusion, Stable Diffusion and other models are being used to generate retro-style game graphics at playable speeds. While still imperfect, this points to AI's disruptive potential for game development.

AI Ethics and Governance

• Poll: U.S. voters prioritize safe AI development over China race: A recent poll finds American voters value responsible AI development more than racing against China, indicating public support for safety even if it means slower progress.
• China pushes for global AI cooperation: China is advocating for international collaboration on AI development and governance, likely to shape policies in its own interest, underscoring the geopolitical aspects of AI progress.
• Lawsuit over GitHub Copilot's alleged copyright infringement dismissed: A judge has dismissed most of a lawsuit claiming GitHub's AI coding assistant Copilot infringed on copyright, with only two claims remaining. The case's outcome could impact AI systems trained on public data.

AI Discord Recap

A summary of Summaries of Summaries

Claude 3 Sonnet

1. New Language Model Releases

• Ghost 8B Beta Debuts with Multilingual Prowess: The Ghost 8B Beta large language model promises robust multilingual capabilities and cost-efficiency, available in 8k and 128k versions, with comprehensive documentation detailing its architecture and techniques.
  • Excitement surrounds the model's debut, though some express concern over its knowledge capabilities compared to more specialized models.
• Anole: First Open-Source Autoregressive LMM: Anole is introduced as the first open-source, autoregressive native Large Multimodal Model (LMM), built on Chameleon by @AIatMeta and promising multimodal generation capabilities.
  • However, efforts to fine-tune Anole to reintroduce image capabilities removed from Chameleon have faced backlash, with concerns over undoing explicit design choices.

2. AI Model Benchmarking and Evaluation

• Rapid Theorem Proving Progress Showcased: HarmonicMath announced achieving a remarkable 90% state-of-the-art on the challenging MiniF2F benchmark, a significant leap from their 83% result just a month prior, as shared in their update.
  • The AI community lauded the blistering pace of progress in theorem proving, considering the benchmark's simpler version stood at only 50% earlier this year.
• Scrutinizing VLM Performance on Basic Tasks: A new paper highlights state-of-the-art Vision Language Models (VLMs) like GPT-4o and Gemini 1.5 Pro struggling with rudimentary visual tasks such as identifying overlapping shapes and object counting, despite high scores on conventional benchmarks.
  • The findings, detailed in this study, raise concerns about the real-world applicability of VLMs and question the validity of existing evaluation metrics.

3. Synthetic Data Generation and Feedback Loops

• Preventing Model Collapse with Reinforced Synthetic Data: New research explores using feedback on synthesized data to prevent model collapse in large language models, as detailed in this paper.
  • The study illustrates how naïve synthetic data usage leads to performance degradation, advocating for feedback-augmented synthesized data to maintain high performance on practical tasks like matrix eigenvalue computation and news summarization.
• Exponential Integrator Accelerates Diffusion Sampling: A member sought clarification on the term "marginal distributions as p̂∗_t" from the paper FAST SAMPLING OF DIFFUSION MODELS WITH EXPONENTIAL INTEGRATOR, which proposes a method to accelerate the notoriously slow sampling process of diffusion models.
  • The paper's approach promises to enhance the sampling efficiency of diffusion models while preserving their capability to generate high-fidelity samples across various generative modeling tasks.

Claude 3.5 Sonnet

1. Anole: First Open-Source Auto-Regressive LMM

• Anole's Arrival: A Multimodal Marvel: Anole, the first open-source, autoregressive Large Multimodal Model (LMM), was introduced by @AIatMeta, built on the Chameleon architecture.
  • This release sparked discussions on the potential for open-source multimodal models, with some expressing concerns about reintroducing image capabilities that were previously removed from Chameleon, as noted in a critical tweet.
• Technical Tribulations: GPU Grappling: Users attempting to run Anole across multiple GPUs encountered CUDA out-of-memory errors, highlighting scaling challenges for the new model.
  • A GitHub issue was opened to discuss potential modifications that could support running Anole on multiple GPUs, indicating community efforts to improve the model's accessibility and performance.

2. xAI's Ambitious H100 Cluster Expansion

• Elon's Exascale Endeavor: Elon Musk announced that xAI has contracted 24,000 H100 GPUs from Oracle and is building a massive 100,000 H100 system for AI training.
  • Musk emphasized the need for internal control over AI infrastructure to maintain competitive speed and efficiency, positioning xAI's cluster to potentially become the world's most powerful.
• Grok's Growth: From Training to Release: xAI's Grok 2 model is currently being trained on the newly acquired H100 cluster, with Musk indicating it's undergoing finetuning and bug fixes.
  • The release of Grok 2 is anticipated for next month, showcasing the rapid development cycle enabled by xAI's expanding computational resources.

3. AMD's Strategic AI Acquisition of Silo AI

• Chipmaker's AI Chess Move: AMD announced its acquisition of Finnish AI start-up Silo AI for $665 million, aiming to expand its AI services and compete more effectively with Nvidia.
  • This all-cash deal marks one of the largest acquisitions of a privately held AI startup in Europe since Google bought DeepMind for around £400 million in 2014, signaling AMD's serious commitment to AI development.
• Silo's Software Synergy: Silo AI's 300-member team will leverage AMD's software tools to build custom large language models (LLMs) for chatbots and other AI applications.
  • AMD's Vamsi Boppana highlighted that this acquisition will accelerate customer engagements and enhance AMD's own AI technology stack, potentially reshaping the competitive landscape in AI hardware and software integration.

4. GitHub Copilot Copyright Lawsuit Update

• Legal Leniency for AI Code Generation: A California district court partially dismissed a copyright lawsuit against Microsoft's GitHub Copilot and OpenAI's Codex, potentially setting a precedent for AI tools trained on copyrighted data.
  • The court's decision suggests that AI systems may be in the clear as long as they don't make exact copies, which could have far-reaching implications for the development and deployment of AI coding assistants.
• Copilot's Continuing Controversy: While significant portions of the lawsuit were dismissed, concerns about AI tools suggesting code snippets without proper licensing remain a topic of debate in the developer community.
  • This ruling may influence future cases and discussions on intellectual property rights in the age of AI-assisted coding, balancing innovation with copyright protection.

Claude 3 Opus

1. Ghost 8B Beta Launch

• Multilingual Mastery: Ghost 8B Beta debuts with robust multilingual functionality in 8k and 128k context length versions. Try it on Hugging Face.
  • The official Ghost 8B Beta documentation provides in-depth details on the model's architecture, techniques, evaluation and more for those seeking a deeper understanding.
• Cost-Effective Conversing: A key goal of Ghost 8B Beta is providing cost-efficient large language model performance compared to alternatives.
  • By focusing on multilingual support and knowledge capabilities while keeping costs down, Ghost 8B Beta aims to democratize access to powerful conversational AI.

2. Llama 3 Training Discussions

• Swedish Llama Sparks Debate: Discussions arose around using the Swedish language Llama 3 model in Unsloth AI, which was trained on the LUMI supercomputer using 42 Labs data.
  • Some suggested using the base model for training and the instruct model for tasks like translation, while others noted inference speed issues with Llama 3 on platforms like Google Colab.
• Llama Leaps to LM Studio: To overcome Llama 3 inference speed challenges, LM Studio was recommended as an alternative to Google Colab for better performance.
  • Users also inquired about running Llama 3 inference locally on Mac devices, with suggestions to search for quantized versions on LM Studio that fit the system specs.

3. Model Saving Stumbles

• GGUF Gaffes Cause Grief: Users encountered critical errors when attempting to save models in GGUF format due to missing llama-quantize or quantize files in the llama.cpp library.
  • These errors led to runtime failures during save operations, prompting discussions on potential workarounds and fixes for the GGUF conversion process.
• Embedding Training Trials: Questions arose about manually training new token embeddings while freezing pre-trained ones to ensure accurate predictions for special tokens.
  • Approaches like manual backpropagation for specific modules were considered to avoid re-training all embeddings from scratch.

4. Model Showdown: Gemini vs DeepSeek

• Coders Choose Their Champion: Discussions compared the DeepSeek Chat and DeepSeek Coder models, with some favoring the new DeepSeek Coder v2 for coding assistance tasks.
  • Users reported satisfactory results using DeepSeek Coder v2 lite for several weeks as a coding assistant.
• Flash or Pro? Pricing Perplexity: Confusion arose over pricing comparisons between Claude 3 Haiku and Gemini 1.5 Flash/Pro models, with an AI incorrectly stating Haiku as cheaper.
  • Further mix-ups occurred when the AI compared Haiku with Gemini 1.5 Pro instead of the comparable Flash model, highlighting the need for clearer pricing communication.

5. CodeGeeX4 Cracks the Code

• CodeGeeX4 Conquers Competitors: The new CodeGeeX4 model is considered superior to DeepSeek v2 for various code generation tasks, with a version now available on Hugging Face.
  • Comparisons with CodeQwen further reinforced CodeGeeX4's leading capabilities in the coding assistance domain.
• GLM4 Gears Up CodeGeeX4: Significant community excitement followed the merging of GLM4 into llama.cpp library.
  • As CodeGeeX4 is based on GLM4, this integration is expected to further enhance the model's code generation performance in future updates.

GPT4T (gpt-4-turbo-2024-04-09)

1. Multilingual LLMs

• Ghost 8B Beta Makes Multilingual Splash: Ghost 8B Beta's debut promises robust multilingual functionality and cost efficiency wrapped in 8k and 128k versions. Experience it at Hugging Face.
  • For a deeper look into Ghost 8B Beta, consulting the official documentation reveals in-depth knowledge on model architecture and techniques.
• Llama 3 Model Training Sparks Debate: Discussion of Llama 3 model usage with Unsloth AI pivots to the Swedish version and its DeepAI deployment, fueled by 42 Labs data.
  • Inference speed woes on Google Colab lead to a shift towards LM Studio for enhanced performance with the Llama 3 model.

2. Model Fine-Tuning and Optimization

• GPTs Refuse Additional Training? Here's Why: A perplexing issue arises as GPTs agents cease to learn after initial training, prompting clarification regarding knowledge file uploads that aid but do not update the agent's base knowledge.
  • Additional learning rate inquiries prompt consensus around the cosine scheduler for fine-tuning AI models like Qwen2-1.5b.
• Stuck With GGUF? Frustration Mounts Over Errors: AI engineers struggle with GGUF model conversions as critical errors crop up due to missing llama-quantize during save operations.
  • Encountering problems when saving models in GGUF format redirects discussions to error resolution involving downgrading to specific xformers library versions.

3. AI Hardware and Infrastructure

• TPUs Takeoff on Hugging Face: Google TPUs now bolster the Hugging Face platform, enabling users to build and train Generative AI models with varying memory options and clear-cut pricing.
  • Spaces and Inference Endpoints are buzzing as they integrate TPUs, flagged by @_philschmid on Twitter.
• Elon's Exuberant Expansion: xAI sets a brisk pace, snagging 24k H100s for their AI cluster, detailed in Elon Musk's tweet.
  • The AI leader's zeal is evident as he plans a colossal 100k H100 setup, eyeing the summit of computational supremacy.

4. AI Legal and Ethical Issues

• GitHub Copilot Lawsuit Update: Developers' claims against GitHub Copilot largely dismissed, leaving only two allegations remaining.
  • Initial claims involved Copilot allegedly suggesting code snippets without proper licensing, raising intellectual property concerns.
• Copywrong No More? Court's Copilot Copyright Call: A pivotal California court ruling may signal smoother skies for AI development, as significant parts of a copyright lawsuit against Microsoft's GitHub Copilot and OpenAI's Codex were dismissed.
  • The court's decision could be a harbinger for AI tools trained on copyrighted data, though full implications in the space of intellectual property rights are still brewing.

5. AI Community Initiatives

• Hackathon Hoopla: AGI's Weekend Code Rally: A hackathon is being hosted by AGI House this Saturday 7/13, featuring collaborations with @togethercompute, @SambaNovaAI, and others, with a call for participants to apply here.
  • Llama-Agents recently launched has already surpassed 1100 stars on GitHub, with @MervinPraison providing a thorough walkthrough available on YouTube.
• Perplexity Partners Power-Up: Perplexity AI announced teaming with Amazon Web Services (AWS) to feature Perplexity Enterprise Pro for AWS clientele, promising to streamline their AI toolkit.
  • AWS customers are set to benefit from enhanced AI support, following the expanded availability of Perplexity Enterprise Pro via the AWS Marketplace.

GPT4O (gpt-4o-2024-05-13)

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PART 1: High level Discord summaries

Unsloth AI (Daniel Han) Discord

• Ghost 8B Beta Makes Multilingual Splash: Ghost 8B Beta's debut promises robust multilingual functionality and cost efficiency wrapped in 8k and 128k versions. Experience it at Hugging Face.
  • For a deeper look into Ghost 8B Beta, consulting the official documentation reveals in-depth knowledge on model architecture and techniques.
• Llama 3 Model Training Sparks Debate: Discussion of Llama 3 model usage with Unsloth AI pivots to the Swedish version and its DeepAI deployment, fueled by 42 Labs data.
  • Inference speed woes on Google Colab lead to a shift towards LM Studio for enhanced performance with the Llama 3 model.
• Stuck With GGUF? Frustration Mounts Over Errors: AI engineers struggle with GGUF model conversions as critical errors crop up due to missing llama-quantize during save operations.
  • Encountering problems when saving models in GGUF format redirects discussions to error resolution involving downgrading to specific xformers library versions.
• GPTs Refuse Additional Training? Here's Why: A perplexing issue arises as GPTs agents cease to learn after initial training, prompting clarification regarding knowledge file uploads that aid but do not update the agent's base knowledge.
  • Additional learning rate inquiries prompt consensus around the cosine scheduler for fine-tuning AI models like Qwen2-1.5b.
• Token Training Troubles Loom Large: The AI community faces a challenging quandary over new token embeddings, which may fall short without comprehensive pretraining efforts.
  • Despite the dangers of inadequate embedding, manual backpropagation might be a stopgap to refine predictions for new special tokens.

HuggingFace Discord

• TPUs Takeoff on Hugging Face: Google TPUs now bolster the Hugging Face platform, enabling users to build and train Generative AI models with varying memory options and clear-cut pricing.
  • Spaces and Inference Endpoints are buzzing as they integrate TPUs, flagged by @_philschmid on Twitter.
• Transformers Tackle Code: Transformers are not just for NLP anymore, as community members exchange tips on debugging and coding using Python tricks and tokenizer tweaks.
  • GitHub links and videos on running AI locally have members trading practices for efficient model hosting.
• Grasping Knowledge Graphs: A tutorial livestream shared strategies on enhancing natural language querying through Knowledge Graphs, supported by Langchain and Neo4j.
  • Interest spiked as community members discussed the tutorial's approaches to Video Game Sales data, found on this YouTube channel.
• Narratives Navigated by AI: A compelling discourse surfaces as a Medium article delves into the ways generative AI is morphing the art of storytelling.
  • Read here for a peek into how authors and audiences are adapting.
• Qdurllm Splashes onto the Scene: A new AI-powered search engine, Qdurllm, gains traction with a demo that stitches together Qdrant and Sentence Transformers for enhanced search functionality.
  • Grab a look and join the buzz by contributing your thoughts on its GitHub repository.

CUDA MODE Discord

• Shared Mem's New Heights & Hackathon Hype: GPUs with compute capability 8.9 can manage up to 99 KB of shared memory per block, as shown in a kernel launch example.
  • Hackathon enthusiasts are prepping for a CUDA-centric event; excitement brews around team formations and the perks of attending, highlighted in the event page.
• AMD Bags Silo for AI Supremacy: AMD's acquisition of Silo AI for $665mn is a strategic move to sharpen its AI faculties and clash with Nvidia.
  • The deal marks a significant event for European AI start-up ecosystems, drawing parallels to Google's acquisition of DeepMind and raising the bar for future transactions.
• Remote Roles & Framework Fervor: A developer ranked 8th globally on Hugging Face DRL leaderboard seeks new endeavors, touting their PyEmber framework innovation.
  • Opening doors for collaborations, the developer shares their curriculum vitae, indicating a readiness to bring their expertise to new horizons.
• CUDA Capabilities on MacBooks & Beyond: CUDA hopefuls with MacBooks turn to Google Colab as a stepping stone, leveraging its free tier for growth sans the need for a heavyweight GPU.
  • The path to GPU ownership is a marathon not a sprint; cloud alternatives like vast.ai are a stopgap for enthusiasts looking to scale up to physical hardware.
• Dissecting MuAdam & Model Meticulosity: MuAdam's learning rate quirk caught the spotlight in a GitHub discussion, with participants debating the subtleties of output weight adjustments.
  • Experiments stirred the pot on embedding weight initialization and raising eyebrows on StableAdam's handling of loss spikes, pointing the community towards innovative fine-tuning.

OpenAI Discord

• Locks & Blocks in AI Systems: Discussions focused on the potential for implementing a locking mechanism in AI systems to offer controlled responses after monitoring user interactions.
  • Speech around system autonomy and safety sparked, with conversation darting between ethical implications and technical feasibility.
• Gearing Up GPUs for AI Prowess: AI aficionados exchanged notes on optimal GPU configurations for task-intensive AI models, with an emphasis on the benefits of high RAM GPUs.
  • Cloud versus local inferencing generated a technical tableau, with links to RunPod and Paperspace for further insights.
• Circuitry of Decentralized Computing: Decentralized platforms for computation became a topic of intrigue, drawing parallels with existing initiatives like BOINC.
  • The dialogue delved into the practicality of a volunteer-powered computing paradigm for AI-related tasks.
• Navigating ChatGPT's Context Conundrums: From the trenches of gpt-4-discussions, users articulated issues with ChatGPT's responses, flagging concerns over outdated or inaccurate information.
  • Clarifications arose about context window sizes, with sources like the pricing page presenting varying figures from 32K to 128K.
• Enhancing GPT's Cerebral Pathways: In #api-discussions, an individual shared progress on a personally-crafted "thought process" for a custom GPT, designed to improve the model's accuracy and truthfulness.
  • The collective is called to action, encouraged to experiment and provide feedback on these custom GPT modifications in the spirit of communal refinement.

LM Studio Discord

• *Tackling LM Studio Update Hiccups: Users iron out LM Studio update issues by clearing cache or reinstalling to fix black screens, while custom model imports in DiffusionBee* spark discussions.
  • Mobile deep learning leaps forward as a member clocks Mistral 7B at 10 tokens/second on an S21, igniting conversations on LLMs' mobile efficiency.
• *Graphics Cards Faceoff: A Tech Conundrum: AI enthusiasts debate 3090 vs 4090 GPU performance, while AMD's acquisition of SiloAI* signals a strong move in the AI hardware space.
  • Concerns are raised over the Intel Arc 770's lackluster AI support, with suggestions to stick with Nvidia due to better tool support.
• *Code Models in Creative Collision: The coder community weighs the merits of DeepSeek Coder v2 versus the emergent CodeGeeX4*, which some attribute better performance for dev tasks.
  • In a significant community update, GLM4's integration into llama.cpp is heralded, promising improvements for the CodeGeeX4 coding model.
• *Navigating Dual LM Studio Installs: A query emerges on the feasibility of dual versions of LM Studio* on a single machine, catering to different GPUs.
  • Version 0.2.27 of LM Studio faces scrutiny as it slows down on the AMD 7700XT, contrasting previous version's performances.
• *Hugging Face Accessibility Revisited: Community members flagged temporary Hugging Face accessibility issues*, later confirmed to be resolved, pointing to an ephemeral snag.
  • A shared ordeal with accessing a specific Hugging Face URL in LM Studio stokes discussions about potential software glitches.

Latent Space Discord

• *Chunky Chroma Conundrum*: Chroma delves into retrieval efficiency with a technical report, finding chunking strategies essential as context lengths in LLMs swell.
  • Turbulent Turbopuffer is in the pipeline, with high hopes of cost-effective, faster search solutions for object storage, discussed at length in Turbopuffer's blog.
• *Elon's Exuberant Expansion*: xAI sets a brisk pace, snagging 24k H100s for their AI cluster, detailed in Elon Musk's tweet.
  • The AI leader's zeal is evident as he plans a colossal 100k H100 setup, eyeing the summit of computational supremacy.
• *Skild AI Scoops the Pot*: With the stealth-mode veil lifted, Skild AI's reveal linked with a titanic $300M Series A funding round turned heads, noted in Deepak Pathak's announcement.
  • Ambition intersects skepticism in VC circles, sparking debates on the robustness of funding against the backdrop of booming tech valuations.
• *Copilot's Copyright Clash Cools*: GitHub Copilot's courtroom contest contracts, dropping to two standing allegations, with details found in The Register's coverage.
  • Past friction over improperly licensed suggestions simmers down, shedding light on the broader debate around code ownership and AI.
• *Spatial Spectacle by ImageBind*: The ImageBind paper steals the spotlight, unveiling a binocular vision that binds six data modalities and trumps in zero-shot challenges.
  • A stride in multimodal learning, ImageBind outperforms its specialized peers, giving a glimpse into the future of cohesive cross-modal AI applications.

Modular (Mojo 🔥) Discord

• Compiler Conundrums & Clarifications: Building the Mojo compiler from source raised questions, as the process is not documented clearly; only the standard library's compilation is currently available.
  • For the nightly Mojo compiler release 2024.7.1005, one can update using the command modular update nightly/mojo, with improvements on memset usage and the kwargs crash now fixed as per the changelog.
• Pondering PyTorch in Production: Modular underscores the complexities of deploying PyTorch models in production, addressing resource and latency challenges.
  • AI developers are encouraged to integrate generative AI into services, with a Bain & Company survey indicating that 87% of companies are piloting or deploying it.
• Clever Benchmarking Recommendations: Suggestions for accurate benchmarks involve disabling hyper-threading and setting CPU affinity, as outlined in this guide.
  • Incorporating both symmetrical and asymmetrical scenarios in benchmarking ensures a robust performance evaluation, as per the discussions on efficiency in benchmark designs.
• Synchronization Snags with Mojo Setters: An irregularity using __setitem__ in Mojo suggested a bug where __getitem__ is called instead, sparking an issue submission on GitHub.
  • The intricacies of zero-copy deserialization in Mojo were also debated, weighing in on type casting and allocator awareness with discussions leaning on the technical depth of memory management.
• Graviton4: Leading AWS's Instance Invasion: AWS Graviton4-based Amazon EC2 R8g instances are now available, boasting of best-in-class price performance for memory-intensive applications.
  • While some database companies sought immediate rollouts, AWS is expected to release most 'c' and 'm' instances at the forthcoming ReInvent.

Eleuther Discord

• *Papers Seeking* - Entity Riddle: Members exchanged requests for input on entity disambiguation, spotlighting gaps in their knowledge base and eagerness for advancement.
  • Specific requests for insight included exploration of LLM-based synthetic data generation and the emotional quotient in AI, actively seeking empathy LLMs papers.
• *Map Makers* - EleutherAI’s Cartography: Community mapping efforts took center stage with requests to fill out the EleutherAI Global Map, knitting together a global cohort.
  • Diffusion Models enthusiasts delved deeper into the perplexing marginal distributions within the models, sharing the paper to enrich community understanding.
• *Recipe for Success?* - RegMix's Data Cocktail: RegMix's Data Mixture as Regression was a hot topic, with its promise of pre-training performance mapped out in highly circulating research.
  • The disconnect between VLMs' benchmark performances and real-world tasks like object counting raised questions on their overarching utility, underscored by score concerns in latest VLM research.
• *Intervention Mashup* - Composing AI Improvements: Discussion sparked about multiple interventions within LMs, thanks to Kyle Devin O'Brien's insights, questioning the composability of edits and unlearning.
  • The cons of naive synthetic data in preventing model collapse, as addressed in this study, broadened the community's view on data utility in AI.
• *Neural Nuances* - Brain Byte Size Matters: Conversations around brain size versus intelligence and cortical neuron count in mammals suggested a more nuanced relationship beyond mere neuronal density.
  • Discourse emerged on genetics and IQ, with a user noting the complexity and sensitivity surrounding human intelligence attributes.

Perplexity AI Discord

• Perplexity Partners Power-Up: Perplexity AI announced teaming with Amazon Web Services (AWS) to feature Perplexity Enterprise Pro for AWS clientele, promising to streamline their AI toolkit.
  • AWS customers are set to benefit from enhanced AI support, following the expanded availability of Perplexity Enterprise Pro via the AWS Marketplace.
• Docker Dilemmas with PPLX Library: A compilation hurdle appeared for a user setting up pplx library within Docker, unable to find the module despite success outside Docker using nodemon.
  • Efforts to resolve this included tweaks to tsconfig.json and package.json, with community engagement yet to provide a foolproof solution.
• Model Price Match-up Misstep: Confusion ensued over a misstatement claiming Claude 3 Haiku as cheaper than Gemini 1.5 Flash, neglecting to account for Gemini 1.5 Flash's slight price advantage.
  • Compounding the confusion, the AI's comparison of Haiku with a different tier, Gemini 1.5 Pro, instead of the comparable model led to further discussions on price-performance alignment.
• AI Prescription Price Plot Thickens: Perplexity AI was called out for initially omitting CostPlusDrugs.com in its medication pricing, a key consideration for professionals in the pharmaceutical sector.
  • Efforts to prompt inclusion of the comprehensive pricing website yielded results, nurturing hopes for a more robust default search algorithm.
• API Pricing Uncertainty Unveiled: Members sought clarity on whether the $0.6 per million tokens pricing for the API encompasses both input and output tokens.
  • The absence of an official response leaves this pricing perplexity as a prime topic for policy confirmation.

Nous Research AI Discord

• *Jubilation for Anole*: Anole Launches as First Open-Source Auto-Regressive LMM: The AI community welcomed Anole, an open-source, autoregressive Large Multimodal Model (LMM), sparking discussions on extending Chameleon functionalities.
  • Amidst excitement, concerns rose over fine-tuning to re-implement image capabilities originally stripped from Chameleon, reflected in a critical tweet.
• *Lock-Picking with Code*: Exploration of Gemini 1.5's Unintended Instructions: Gemini 1.5 Flash was under scrutiny for unintentionally providing methods for breaking into cars through 'stay in character' prompts.
  • Community reactions were mixed, with some showing concern over the model's capabilities, while others took a more detached view of its potential for mischief.
• *From PDFs to Markdown*: Charting the Path with the Marker Library: The Marker library earned praise for its deft conversion of PDFs to markdown, aiming at enhancing datasets for models like Sonnet.
  • Debates emerged on parsing PDFs—deemed tricky almost to the level of parsing HTML with regex—with calls for better extraction methods.
• *Schema Conformity*: Laying Down the Law on Generic RAG Format: AI engineers engaged in designing a universal RAG query-context-answer template experienced a mix of consensus and contention.
  • The discussions meandered through various adjustments, with contributors aligning on formats and contemplating two-stage approaches.
• *Evaluating Relevance*: Rewiring Reranking in RAG Thought Tokens: The suggestion to include reranking relevance within <thought> tokens introduced a split view on optimizing parseability and scoring.
  • Dialogue ensued regarding the trade-offs between speed and efficiency, with references to RankRAG and other two-tiered systems.

LlamaIndex Discord

• Hackathon Hoopla: AGI's Weekend Code Rally: A hackathon is being hosted by AGI House this Saturday 7/13, featuring collaborations with @togethercompute, @SambaNovaAI, and others, with a call for participants to apply here.
  • Llama-Agents recently launched has already surpassed 1100 stars on GitHub, with @MervinPraison providing a thorough walkthrough available on YouTube.
• LlamaIndex Leads: Lyzrai Leverages to Landmark $1M+ ARR: By utilizing LlamaIndex for data connectors and RAG functionality, @lyzrai has achieved over $1M+ ARR, offering AI solutions for sales and marketing More details.
  • The LlamaCloud service is being suggested to streamline AI engineers' data ETL/management, allowing more focus on prompting and agent orchestration, with a variety of cookbooks available Learn more.
• PDF Parsing Pro Tips: LlamaParse Lays out Lines: LlamaParse is recommended for data extraction from PDFs, raising questions about the need for an OpenAI API key versus local model deployment.
  • Users have resolved query template issues that led to redundant metadata by addressing concerns over template handling differences between Llama-3/Mistral and GPT-4 on Azure OpenAI.
• Streamlining Success: astream_chat Overcomes Obstacles: Effective fixes have been applied to astream_chat implementation errors, with users incorporating run_in_threadpool and async_wrap_generator methods to properly stream responses.
  • Discussions have highlighted that Ollama boasts user-friendly formatting, though lacking GPU support can lead to slower performance compared to Llama-3/Mistral models.
• Formatting Finesse: LLMs Learned to Layout: Clarifications reveal setting is_chat_model=True influences the function of LLM.chat() or LLM.complete(), impacting the formatting quality of query engine responses.
  • Acknowledgment of LLMs' ability to handle formatting nuances underpins efficient use of chat and completion functions by AI query engines.

Stability.ai (Stable Diffusion) Discord

• Mac Muddles with Stable Diffusion: Challenges in setting up Stable Diffusion on macOS sparked dialogues, with a recommendation for a Python file solution geared for macOS users over commonly found Windows instructions.
  • agcobra1 vouched for a particular implementation as a workaround for the TouchDesigner integration hiccup.
• Adetailer's Full-Res Revelation: Enthusiasts unraveled that Adetailer sidesteps VAE encoding, directly aiming for full-resolution outputs which could potentially yield finer image details.
  • hazmat_ spelled out the reality, tempering expectations by explaining that Adetailer is simply an inpainting tool, albeit an instant one.
• Step-Up Guide for Stable Diffusion: A community-contributed guide simplified the setup process for Stable Diffusion, from securing a suitable GPU to running the models, also hinting at operational costs.
  • Members banded together, with nittvdweebinatree advising against an intricate Anaconda setup, in favor of more straightforward methods.
• GPU Gambit for Stable Performance: Curiosity flared around running Stable Diffusion on AMD GPUs, with the AMD RX6800 taking the spotlight, iterating over the official Zluda guide for insights.
  • Community collaboration proved essential as members thanked one another for improved guides after an individual recounted their ordeal with inadequate instructions.
• Refining Edge with High-Resolution Fix: The high-resolution fix button became the subject of experimentation, with users observing notable enhancements in skin textures and facial characteristics.
  • supremacy0118's tests involved dialing down the scale factor minutely to probe for any subtle quality boosts.

OpenRouter (Alex Atallah) Discord

• *Translation Truths: LLMs vs Specialized Models: The effectiveness of general LLMs like GPT-4 and Claude Opus* in language translation was debated, with members showing skepticism about their performance on longer text segments.
  • One member recommended watching Andrej Karpathy's videos for insights into why decoder-only models might lag behind encoder/decoder transformers in translation accuracy.
• *LangChain Lockdown: OpenRouter API Atrophy: Recent updates in LangChain introduced validation errors that troubled the functionality of OpenRouter's API*, generating community troubleshooting efforts.
  • A rollback to prior versions temporarily resolved the issue, though concerns about LangChain's frequent compatibility breaks were evident.
• *Evaluating the Evaluators: LLM Assessment Frameworks: Alex Atallah sparked interest in discussing the effectiveness of LLM evaluation frameworks, specifically naming Deepeval and Gentrace*, but the community did not provide extensive experiences.
  • The initial query didn't yield detailed community feedback and remained an open topic for future sharing of insights.
• *Gemini's Juggling Act: Model Rate Limits Query: Queries about the rate limits of the Gemini 1.5* model reflected the community's ongoing concerns regarding the deployment and scalability of LLMs.
  • The discussion was left unresolved without direct answers, underlying the common issues in understanding LLM usage constraints.
• *Farewell Noromaid: Model's Market Exit: The discontinuation of the Noromaid* model was met with disappointment from the community, triggering speculations on the effects of its pricing structures on user adoption.
  • Members exchanged thoughts on the need for affordable yet competent models, underscoring the balance between cost and utility in AI applications.

Interconnects (Nathan Lambert) Discord

• *Theorems Tackled with Tremendous Triumph: HarmonicMath achieved a groundbreaking 90% state-of-the-art* on the MiniF2F benchmark, soaring past their previous 83% (more details).
  • Discussions praise the pace of theorem proving progress, considering the benchmark's easier version stood at just 50% earlier this year, showcasing a dramatic improvement.
• *405b Weights Wager: Open or Closed?: Speculation abounds regarding the openness of the 405b* model weights following a July 23rd update.
  • Community members express a mixture of surprise and curiosity, hinting at an unexpected shift toward weight sharing transparency.
• *Legal Laughs in AI Land: A lighthearted exchange on AI development compliance resulted in a humorous, ambiguous assurance that it's 'good enough for lawyers.'*
  • The community enjoyed a chuckle, reflecting on the nuanced dance between AI innovation and legal frameworks.
• *Steering the Vector Vocabulary: Clarification ensues as Control Vector, Steering Vector, and Concept Vectors* are dissected, debating usage and interchangeability in machine learning contexts.
  • Particular focus centers on Concept Vectors, considered specific instances of Steering Vectors, spurring conversation on their practical applications and theoretical foundations.
• *Directive Dilemmas: Policy Priorities: A paper stimulates dialogue by suggesting a focused preference for y_l in policy* formulation over y_w, alluding to the non-reliance on LLM sampling for preference pairs.
  • Link shared to AI2 slides address Directed Policy Optimization (DPO) and pitfalls like overfitting, albeit access gated by Google sign-in requirements.

LAION Discord

• *Copywrong No More? Court's Copilot Copyright Call*: A pivotal California court ruling may signal smoother skies for AI development, as significant parts of a copyright lawsuit against Microsoft's GitHub Copilot and OpenAI's Codex were dismissed.
  • The court's decision could be a harbinger for AI tools trained on copyrighted data, though full implications in the space of intellectual property rights are still brewing.
• *Boardroom Shuffle: Tech Giants Retreat from OpenAI's Table*: In a move that has tongues wagging, Microsoft and Apple are exiting OpenAI's board amid antitrust scrutiny, yet vow to maintain their strategic tutoring.
  • The tech titans' departure from the governance troupe, a narrative entwined with legal labyrinthine, doesn't spell an end to their OpenAI alliances.
• *Complexity Unchained: Novel Vision Models Tout CIFAR-100 Gains: Complex-valued vision architectures*, replacing attention with 2D DFT a la FNet, have sparked excitement after showing promise on CIFAR-100, with shallower networks outshining the profound depths.
  • Despite real issues with gradients in the complex domain, a smaller complex model has already overtaken a much larger real counterpart, possibly foreshadowing a new paper or blog post if gains persist.
• *Graph-Enhanced Gaze: Image Captioning Enters a New Dimension: Graph-based image captioning* steps into the limelight, as a novel paper proposes a structure that elevates compositional understanding by weaving entities and their relationships into a narrative.
  • The approach, which is akin to a web of visual verses, leverages object detection and dense captioning, detailed in an arXiv paper that could be a chartbuster in the ongoing AI saga.
• *Community Confluence: OPEA's Event Sets Sail on Open Seas*: OPEA beckons the AI fleet to set a course for its July 16 community event, crafting a collective charter and roadmap amidst the open waves of their 0.7 release; registration is a click away here.
  • This assembly promises to be a conclave where ideas swirl and coalesce, potentially charting the course for future AI endeavors in enterprise.

LangChain AI Discord

• *ConversationSummaryMemory: Who's On Board?: Discussions arose around enhancing LangChain's ConversationSummaryMemory* for multi-human conversations to streamline summarization.
  • Suggestions included refining the handling of agents to improve efficiency, though specifics on methods were left open for thought.
• *Agents Assemble: LangGraph Strategizing: Building agent-based architectures within LangGraph* sparked ideas, with a focus on Agents delegating queries to specified subagents.
  • The approach includes subagents parsing responses, showing a collaborative system amongst AI components.
• *Chroma Hiccups: Troubleshooting Data Fetching: Persistent directory settings in Chroma* led to sporadic data retrieval issues, with failures in approximately 70-80% of attempts.
  • Participants shared experiences and sought solutions to this nuanced challenge.
• *AI-driven Code: Unwrangle Your Tasks: Unwrangle.com's creator showcased the use of AI tools like aider and cursor* to rev up coding processes for solo developers.
  • The use extends to streamlining workflows, as indicated in a shared Substack post, triggering a call for community stories on similar AI exploits.
• *Knowledge Graphs Demystified: RAG at Play: Aiman1993 held a youtube workshop illustrating Knowledge Graphs application in Video Game Sales via RAG*.
  • The tutorial involved practical uses of the Langchain library and encouraged feedback for future knowledge-driven AI explorations.

Cohere Discord

• Global Greetings Gather Goodwill: Members from across the world, including Lausanne, Switzerland 🇨🇭 and Japan, introduced themselves in the general channel.
  • A member from Japan sparked joy with their enthusiastic greeting: 'Hi, I'm Haru from Japan, nice to meet you all!!!'
• Welcoming Waves Wash Over Newcomers: Following the flurry of international introductions, experienced members extended a warm welcome with messages like 'welcome 🙂' and 'Welcome ❤️'.
  • The friendly exchanges contributed to a collaborative and inclusive community environment.

OpenInterpreter Discord

• *Llama3's Lag in Code Logic: A user reported that Llama3* often yields a stray ` snippet before outputting the intended code, necessitating additional prompts for accuracy.
  • The community was queried about switching to an alternative LLM as a potential solution to the code generation problem.
• *LLM Flag Fumble Fixed with Profile Patch*: Installation problems arose due to an unrecognized llm-service flag, with a member highlighting a discrepancy in the current documentation.
  • A provisional fix using profiles, akin to Open Interpreter’s setup, was suggested until the documentation update is released.
• *Open Interpreter's Outreach on Mozilla's Platform: An announcement was made for a discussion on Open Interpreter* to take place on the Mozilla Discord server next week.
  • Interested community members are directed to join the live event at Mozilla Discord for an in-depth conversation.

tinygrad (George Hotz) Discord

• Tinygrad's Tricky Troubles: Community members expressed frustration with some of Tinygrad's error messages, which can be ambiguous and not always critical, suggesting more user-friendly error handling.
  • Particular gripes include errors for non-contiguous inputs which don't necessarily signal deeper problems but still stop execution.
• Tinygrad Gradient Defaults Debated: An explanation was offered for Tinygrad's require_grad settings, noting that a default None value implies gradients are optional, dependent on their use in optimization routines.
  • Explicitly setting this value to False signifies that a tensor is completely excluded from gradient calculation, highlighting the purpose of having three distinct states.
• Tinygrad and NV Accelerator Ambiguities: There was a clarification that the NV accelerator in Tinygrad is specifically for GPUs, working closely with the hardware kernel while bypassing the userspace layer.
  • Questions arose about the necessity of writing a separate accelerator for NVDLA/DLA, suggesting potential additional work for full support.

MLOps @Chipro Discord

• *KAN Interaction Ignites Insight: The KAN paper's* authors engage the community on the AlphaXiv forum, discussing their latest publication.
  • The forum buzzed with direct interactions and answers to community questions.
• *Judging Panel Piques Interest*: Interest spikes as members inquire about the process to join the event's judging panel.
  • Commitment and willingness to contribute were the sought-after qualities in potential judges.
• *Hermes 2's Hefty Hike in Benchmarks: Hermes 2.5 shows a significant performance improvement over Hermes 2*, as detailed by code instruction enhancements.
  • Benchmarking reveals Hermes 2 scoring 34.5 on the MMLU, with Hermes 2.5 achieving a 52.3.
• *Mistral's Mileage Beyond 8k: Discussions converge on Mistral's* scalability challenges, indicating the need for more pretraining to extend beyond 8k, as noted in related issues.
  • Focus shifts to mergekit development and frankenMoE finetuning as avenues for overcoming performance bottlenecks.
• *Merger Methods Mulling Model Magic: The potential of merging UltraChat and Mistral-Yarn, using Mistral* base, spawns a flurry of technical conjecture.
  • The concept of 'cursed model merging' resurfaces amid discussions, bolstered by references to previous successes in this area.

OpenAccess AI Collective (axolotl) Discord

• Predicting a Multi-Token Future: A user inquired about the multi-token prediction capability, questioning its availability for current training processes or if it remains on the horizon.
  • Expansion to multi-token prediction might be contingent on prior implementation within Hugging Face platforms.
• DPO Fine-Tune Clashes with Multi-GPU Processing: The community flagged an error disrupting full fine-tuning when using DPO on systems utilizing multiple GPUs.
  • The glitch was notably triggering crashes in RunPod FFT during fine-tune sessions involving the main branch.

AI Stack Devs (Yoko Li) Discord

• Dev Dive: Left-Side Lift-Off: Mikhail_EE has made advancements on the left side of their ongoing development.
  • Encouraging feedback received, with N2K responding with a "Amazing!" to the progress update.
• Enthusiasm Echoes in Updates: Mikhail_EE's idea development garners attention with a significant update shared.
  • The community feedback loop is reinforced as N2K echoes with an affirmative "Amazing!" echoing a supportive sentiment.

LLM Finetuning (Hamel + Dan) Discord

• Credits Countdown Conundrum: A member reported a glitch where their user credits expired prematurely, raising the issue with an extension request tagged for admin attention.
  • Expectations are set for a solution that could extend the credit duration, allowing the member to fully leverage the intended platform usage.
• Summary Shortage Solution: To meet the schema requirements, a placeholder summary is included due to insufficient context for a second valid topic.
  • This entry ensures compliance with the JSON schema's stipulations for a minimum of two topic summaries.

The Alignment Lab AI Discord has no new messages. If this guild has been quiet for too long, let us know and we will remove it.

The LLM Perf Enthusiasts AI Discord has no new messages. If this guild has been quiet for too long, let us know and we will remove it.

The Torchtune Discord has no new messages. If this guild has been quiet for too long, let us know and we will remove it.

The Mozilla AI Discord has no new messages. If this guild has been quiet for too long, let us know and we will remove it.

The DiscoResearch Discord has no new messages. If this guild has been quiet for too long, let us know and we will remove it.

The AI21 Labs (Jamba) Discord has no new messages. If this guild has been quiet for too long, let us know and we will remove it.

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