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Topic: "robotics"
AI Engineer World's Fair: Second Run, Twice The Fun
gemini-2.5-pro google-deepmind waymo tesla anthropic braintrust retrieval-augmentation graph-databases recommendation-systems software-engineering-agents agent-reliability reinforcement-learning voice image-generation video-generation infrastructure security evaluation ai-leadership enterprise-ai mcp tiny-teams product-management design-engineering robotics foundation-models coding web-development demishassabis
The 2025 AI Engineer World's Fair is expanding with 18 tracks covering topics like Retrieval + Search, GraphRAG, RecSys, SWE-Agents, Agent Reliability, Reasoning + RL, Voice AI, Generative Media, Infrastructure, Security, and Evals. New focuses include MCP, Tiny Teams, Product Management, Design Engineering, and Robotics and Autonomy featuring foundation models from Waymo, Tesla, and Google. The event highlights the growing importance of AI Architects and enterprise AI leadership. Additionally, Demis Hassabis announced the Gemini 2.5 Pro Preview 'I/O edition', which leads coding and web development benchmarks on LMArena.
not much happened today
gpt-4.1 o3 o4-mini grok-3 grok-3-mini o1 tpuv7 gb200 openai x-ai google nvidia samsung memory model-release hardware-accelerators fp8 hbm inference ai-conferences agent-collaboration robotics model-comparison performance power-consumption sama
OpenAI teased a Memory update in ChatGPT with limited technical details. Evidence suggests upcoming releases of o3 and o4-mini models, alongside a press leak about GPT-4.1. X.ai launched the Grok 3 and Grok 3 mini APIs, confirmed as o1 level models. Discussions compared Google's TPUv7 with Nvidia's GB200, highlighting TPUv7's specs like 4,614 TFLOP/s FP8 performance, 192 GB HBM, and 1.2 Tbps ICI bandwidth. TPUv7 may have pivoted from training to inference chip use. Key AI events include Google Cloud Next 2025 and Samsung's Gemini-powered Ballie robot. The community is invited to participate in the AI Engineer World's Fair 2025 and the 2025 State of AI Engineering survey.
not much happened today
gpt-2 r1 gemma-3 gemmacoder3-12b qwen2.5-omni openai deepseek berkeley alibaba togethercompute nvidia azure runway langchain bmw amazon open-source function-calling benchmarking code-reasoning multimodality inference-speed image-generation voice-generation animation robotics realtime-transcription webrtc sama clémentdelangue lioronai scaling01 cognitivecompai osanseviero jack_w_rae ben_burtenshaw theturingpost vipulved kevinweil tomlikesrobots adcock_brett juberti
OpenAI plans to release its first open-weight language model since GPT-2 in the coming months, signaling a move towards more open AI development. DeepSeek launched its open-source R1 model earlier this year, challenging perceptions of China's AI progress. Gemma 3 has achieved function calling capabilities and ranks on the Berkeley Function-Calling Leaderboard, while GemmaCoder3-12b improves code reasoning performance on LiveCodeBench. Alibaba_Qwen's Qwen2.5-Omni introduces a novel Thinker-Talker system and TMRoPE for multimodal input understanding. The TogetherCompute team achieved 140 TPS on a 671B parameter model, outperforming Azure and DeepSeek API on Nvidia GPUs. OpenAI also expanded ChatGPT features with image generation for all free users and a new voice release. Runway Gen-4 enhances animation for miniature dioramas, and LangChain launched a chat-based generative UI agent. Commercial deployment of Figure 03 humanoid robots at BMW highlights advances in autonomy and manufacturing scaling. New tools include OpenAI's realtime transcription API with WebRTC support and Amazon's Nova Act AI browser agent.
Every 7 Months: The Moore's Law for Agent Autonomy
claude-3-7-sonnet llama-4 phi-4-multimodal gpt-2 cosmos-transfer1 gr00t-n1-2b orpheus-3b metr nvidia hugging-face canopy-labs meta-ai-fair microsoft agent-autonomy task-completion multimodality text-to-speech robotics foundation-models model-release scaling-laws fine-tuning zero-shot-learning latency reach_vb akhaliq drjimfan scaling01
METR published a paper measuring AI agent autonomy progress, showing it has doubled every 7 months since 2019 (GPT-2). They introduced a new metric, the 50%-task-completion time horizon, where models like Claude 3.7 Sonnet achieve 50% success in about 50 minutes. Projections estimate 1 day autonomy by 2028 and 1 month autonomy by late 2029. Meanwhile, Nvidia released Cosmos-Transfer1 for conditional world generation and GR00T-N1-2B, an open foundation model for humanoid robot reasoning with 2B parameters. Canopy Labs introduced Orpheus 3B, a high-quality text-to-speech model with zero-shot voice cloning and low latency. Meta reportedly delayed Llama-4 release due to performance issues. Microsoft launched Phi-4-multimodal.
How To Scale Your Model, by DeepMind
qwen-0.5 google-deepmind deepseek hugging-face transformers inference high-performance-computing robotics sim2real mixture-of-experts reinforcement-learning bias-mitigation rust text-generation open-source omarsar0 drjimfan tairanhe99 guanyashi lioronai _philschmid awnihannun clementdelangue
Researchers at Google DeepMind (GDM) released a comprehensive "little textbook" titled "How To Scale Your Model" covering modern Transformer architectures, inference optimizations beyond O(N^2) attention, and high-performance computing concepts like rooflines. The resource includes practical problems and real-time comment engagement. On AI Twitter, several key updates include the open-sourced humanoid robotics model ASAP inspired by athletes like Cristiano Ronaldo, LeBron James, and Kobe Bryant; a new paper on Mixture-of-Agents proposing the Self-MoA method for improved LLM output aggregation; training of reasoning LLMs using the GRPO algorithm from DeepSeek demonstrated on Qwen 0.5; findings on bias in LLMs used as judges highlighting the need for multiple independent evaluations; and the release of mlx-rs, a Rust library for machine learning with examples including Mistral text generation. Additionally, Hugging Face launched an AI app store featuring over 400,000 apps with 2,000 new daily additions and 2.5 million weekly visits, enabling AI-powered app search and categorization.
not much happened today
cosmos nvidia openai robotics autonomous-driving open-source fine-tuning foundation-models memory-optimization sama
NVIDIA has launched Cosmos, an open-source video world model trained on 20 million hours of video, aimed at advancing robotics and autonomous driving. The release sparked debate over its open-source status and technical approach. Additionally, NVIDIA announced Digits, a $3,000 personal AI supercomputer designed to democratize AI computing. The AI community expresses mixed feelings about rapid AI progress, with concerns about AGI, job displacement, and investment hype. Discussions also highlight upcoming tools for fine-tuning AI models at home and foundation models for AI robotics.
not much happened today
prime gpt-4o qwen-32b olmo openai qwen cerebras-systems langchain vercel swaggo gin echo reasoning chain-of-thought math coding optimization performance image-processing software-development agent-frameworks version-control security robotics hardware-optimization medical-ai financial-ai architecture akhaliq jason-wei vikhyatk awnihannun arohan tom-doerr hendrikbgr jerryjliu0 adcock-brett shuchaobi stasbekman reach-vb virattt andrew-n-carr
Olmo 2 released a detailed tech report showcasing full pre, mid, and post-training details for a frontier fully open model. PRIME, an open-source reasoning solution, achieved 26.7% pass@1, surpassing GPT-4o in benchmarks. Performance improvements include Qwen 32B (4-bit) generating at >40 tokens/sec on an M4 Max and libvips being 25x faster than Pillow for image resizing. New tools like Swaggo/swag for Swagger 2.0 documentation, Jujutsu (jj) Git-compatible VCS, and Portspoof security tool were introduced. Robotics advances include a weapon detection system with a meters-wide field of view and faster frame rates. Hardware benchmarks compared H100 and MI300x accelerators. Applications span medical error detection using PRIME and a financial AI agent integrating LangChainAI and Vercel AI SDK. Architectural insights suggest the need for breakthroughs similar to SSMs or RNNs.
not much happened today
smollm2 llama-3-2 stable-diffusion-3.5 claude-3.5-sonnet gemini openai anthropic google meta-ai-fair suno-ai perplexity-ai on-device-ai model-performance robotics multimodality ai-regulation model-releases natural-language-processing prompt-engineering agentic-ai ai-application model-optimization sam-altman akhaliq arav-srinivas labenz loubnabenallal1 alexalbert fchollet stasbekman svpino rohanpaul_ai hamelhusain
ChatGPT Search was launched by Sam Altman, who called it his favorite feature since ChatGPT's original launch, doubling his usage. Comparisons were made between ChatGPT Search and Perplexity with improvements noted in Perplexity's web navigation. Google introduced a "Grounding" feature in the Gemini API & AI Studio enabling Gemini models to access real-time web information. Despite Gemini's leaderboard performance, developer adoption lags behind OpenAI and Anthropic. SmolLM2, a new small, powerful on-device language model, outperforms Meta's Llama 3.2 1B. A Claude desktop app was released for Mac and Windows. Meta AI announced robotics advancements including Meta Sparsh, Meta Digit 360, and Meta Digit Plexus. Stable Diffusion 3.5 Medium, a 2B parameter model with a permissive license, was released. Insights on AGI development suggest initial inferiority but rapid improvement. Anthropic advocates for early targeted AI regulation. Discussions on ML specialization predict training will concentrate among few companies, while inference becomes commoditized. New AI tools include Suno AI Personas for music creation, PromptQL for natural language querying over data, and Agent S for desktop task automation. Humor was shared about Python environment upgrades.
The AI Search Wars Have Begun — SearchGPT, Gemini Grounding, and more
gpt-4o o1-preview claude-3.5-sonnet universal-2 openai google gemini nyt perplexity-ai glean nvidia langchain langgraph weights-biases cohere weaviate fine-tuning synthetic-data distillation hallucinations benchmarking speech-to-text robotics neural-networks ai-agents sam-altman alexalbert__ _jasonwei svpino drjimfan virattt
ChatGPT launched its search functionality across all platforms using a fine-tuned version of GPT-4o with synthetic data generation and distillation from o1-preview. This feature includes a Chrome extension promoted by Sam Altman but has issues with hallucinations. The launch coincides with Gemini introducing Search Grounding after delays. Notably, The New York Times is not a partner due to a lawsuit against OpenAI. The AI search competition intensifies with consumer and B2B players like Perplexity and Glean. Additionally, Claude 3.5 Sonnet achieved a new benchmark record on SWE-bench Verified, and a new hallucination evaluation benchmark, SimpleQA, was introduced. Other highlights include the Universal-2 speech-to-text model with 660M parameters and HOVER, a neural whole-body controller for humanoid robots trained in NVIDIA Isaac simulation. AI hedge fund teams using LangChain and LangGraph were also showcased. The news is sponsored by the RAG++ course featuring experts from Weights & Biases, Cohere, and Weaviate.
a calm before the storm
o1 o1-mini qwen2.5 gpt-4 llama-2-70b llama-7b anthropic openai alibaba microsoft blackrock groq aramco disney eth-zurich pudu-robotics slack long-context kv-cache-quantization diffusion-models reinforcement-learning robotics ai-integration multilinguality model-benchmarking model-performance model-optimization adcock_brett philschmid rohanpaul_ai jvnixon kateclarktweets sama
Anthropic is raising funds at a valuation up to $40 billion ahead of anticipated major releases. OpenAI launched new reasoning models o1 and o1-mini, with increased rate limits and a multilingual MMLU benchmark. Alibaba released the open-source Qwen2.5 model supporting 29+ languages, showing competitive performance to gpt-4 at lower cost. Microsoft and Blackrock plan to invest $30 billion in AI data centers, with Groq partnering with Aramco to build the world's largest AI inference center. Robotics advances include Disney Research and ETH Zurich's diffusion-based motion generation for robots and Pudu Robotics' semi-humanoid robot. Slack and Microsoft introduced AI-powered agents integrated into their platforms. Research highlights include long-context scaling for llama-2-70b using Dual Chunk Attention and KV cache quantization enabling 1 million token context on llama-7b models.
a quiet weekend
o1 datagemma aloha demostart firefly-ai-video-model pixtral-12b gamegen-o openai google-deepmind adobe mistral-ai tencent supermaven 11x cohere anthropic latent-space-university stanford microsoft mila notre-dame reinforcement-learning chain-of-thought reasoning robotics diffusion-models multimodality video-generation model-training reflection-tuning mathematical-reasoning model-benchmarking fine-tuning george-hotz terence-tao adcock_brett rohanpaul_ai bindureddy fchollet philschmid
OpenAI released the new o1 model, leveraging reinforcement learning and chain-of-thought prompting to excel in reasoning benchmarks, achieving an IQ-like score of 120. Google DeepMind introduced DataGemma to reduce hallucinations by connecting LLMs with real-world data, and unveiled ALOHA and DemoStart for robot dexterity using diffusion methods. Adobe previewed its Firefly AI Video Model with text-to-video and generative extend features. Mistral launched the multimodal Pixtral 12B model, and Tencent presented the GameGen-O open-world video game generation model. Several research papers from Stanford, OpenAI, Microsoft, Mila, and Notre Dame focus on advanced reasoning, self-verification, and reflection tuning techniques. Experts like Terence Tao and George Hotz have shared mixed but optimistic views on o1's capabilities. Seed funding rounds include Supermaven ($12M) and 11x ($24M).
not much happened this weekend
jamba-1.5 dream-machine-1.5 ideogram-v2 mistral-nemo-minitron-8b mistral-7b llama-3-8b nous-research cursor-ai gdm george-hotz agibot unitree eth-zurich disney uc-san-diego ai21-labs luma-labs ideogram nvidia mistral-ai meta-ai-fair distributed-ai optimizer inter-gpu-communication low-latency-training open-source humanoid-robots robotics physics-based-motion teleoperation multilingual-models long-context text-to-video text-to-image model-performance george-hotz adcock_brett aman
Nous Research announced DisTrO, a new optimizer that drastically reduces inter-GPU communication by 1000x to 10,000x enabling efficient training on slow networks, offering an alternative to GDM's DiLoCo. Cursor AI gained viral attention from an 8-year-old user and announced a new fundraise, with co-host Aman returning to their podcast. George Hotz launched tinybox for sale. In robotics, AGIBOT revealed 5 new humanoid robots with open-source plans, and Unitree showcased its G1 humanoid robot nearing mass production at $16,000. ETH Zurich and Disney developed an AI system for physics-based robot motion generation from text or images. UC San Diego released ACE, an open-source teleoperation system for controlling multiple robots. AI21 Labs unveiled Jamba 1.5, a multilingual model with 256k context length and permissive licensing. Luma Labs released Dream Machine 1.5 for improved text-to-video generation. Ideogram launched v2 of its text-to-image model with near-perfect text generation. Nvidia and Mistral released Mistral-NeMo-Minitron 8B, a small model outperforming Mistral-7B and llama-3-8b on the Open LLM leaderboard.
The DSPy Roadmap
dspy litel-lm gemini chatgpt-4o grok-2 hermes-3 databricks mit google openai x-ai nous-research astribot apple sakana-ai model-optimization fine-tuning optimizers interactive-optimization robotics autonomous-systems voice image-generation open-source-models scientific-research streaming caching omar-khattab giffmana
Omar Khattab announced joining Databricks before his MIT professorship and outlined the roadmap for DSPy 2.5 and 3.0+, focusing on improving core components like LMs, signatures, optimizers, and assertions with features such as adopting LiteLLM to reduce code and enhance caching and streaming. The roadmap also includes developing more accurate, cost-effective optimizers, building tutorials, and enabling interactive optimization tracking. On AI Twitter, Google launched Gemini Live, a mobile conversational AI with voice and 10 voices, alongside Pixel Buds Pro 2 with a custom Tensor A1 chip. OpenAI updated ChatGPT-4o, reclaiming the top spot on LMSYS Arena. xAI released Grok-2 in beta, achieving SOTA in image generation with FLUX 1. Nous Research released open-source Hermes 3 models in 8B, 70B, and 405B sizes, with the 405B model achieving SOTA. Robotics updates include Astribot's humanoid robot and Apple's tabletop robot with Siri voice commands. Sakana AI introduced "The AI Scientist," an autonomous AI research system.
a quiet weekend
sam-2 qwen2-math gpt-4 claude-3.5 figure deepmind boston-dynamics alibaba llamaindex robotics object-segmentation real-time-processing disease-prediction speech-recognition cli-tools model-performance adcock_brett rasbt hamel-husain rohanpaul_ai
Figure unveiled Figure 02, claimed as the most advanced humanoid robot, operating autonomously at BMW's Plant Spartanburg. DeepMind developed a table tennis robot achieving 100% wins against beginners and 55% against intermediates. Boston Dynamics showcased the dexterity of its fully-electric Atlas robot performing pushups and burpees. An autonomous dental robot performed the world's first dental procedure on a human, reducing a 2-hour process to 15 minutes using a 3D volumetric scanner. SAM 2 was introduced as an open model for real-time object segmentation without custom adaptation. Alibaba released Qwen2-Math, outperforming GPT-4 and Claude 3.5 in math capabilities. A new Listening-While-Speaking Language Model (LSLM) enables simultaneous listening and speaking in real-time. Researchers developed a disease prediction AI with 95% accuracy for diseases like coronary artery disease, type 2 diabetes, and breast cancer. Tools like LlamaParse CLI and MLX Whisper package enhance PDF parsing and speech recognition, with the latter running 40X faster than realtime on M1 Max. The news highlights significant advancements in robotics, AI models, and practical AI tools.
not much happened today
gpt-4-0613 gpt-3.5-turbo-0613 gpt-4o-2024-08-06 mistral-large-2 gpt4-turbo claude-3-opus idefics3-llama bigllama-3.1-1t-instruct llama-3-120b-instruct openai mistral-ai meta-ai-fair structured-outputs function-calling json-schema benchmarking multimodality context-windows model-scaling ai-hardware vision speech-processing robotics ai-regulation sama rohanpaul_ai corbtt guillaumelample mervenoyann maximelabonne aidan_mclau adcock_brett ylecun
OpenAI introduced structured outputs in their API with a new "strict" mode and a "response_format" parameter, supporting models like gpt-4-0613, gpt-3.5-turbo-0613, and the new gpt-4o-2024-08-06. They also halved the price of gpt-4o to $2.50 per million tokens. Mistral Large 2 outperforms gpt4-turbo and claude-3-opus on hard benchmarks and coding tasks. Idefics3-Llama offers multimodal capabilities with a 10k token context window. BigLlama-3.1-1T-Instruct is an upscaled version of llama-3-120b-instruct. New benchmark "big_model_smell" measures creativity and reliability. Figure 02 robot features advanced AI hardware with onboard vision language model, enhanced battery, and speech-to-speech reasoning. Yann LeCun expressed concerns about California's SB1047 regulation.
How Carlini Uses AI
gemma-2-2b gpt-3.5-turbo-0613 mixtral-8x7b gen-3-alpha segment-anything-model-2 stable-fast-3d groq intel deepmind box figure-ai openai google meta-ai-fair nvidia stability-ai runway benchmarking adversarial-attacks large-language-models text-generation multimodality robotics emotion-detection structured-data-extraction real-time-processing teleoperation 3d-generation text-to-video nicholas-carlini chris-dixon rasbt
Groq's shareholders' net worth rises while others fall, with Intel's CEO expressing concern. Nicholas Carlini of DeepMind gains recognition and criticism for his extensive AI writings, including an 80,000-word treatise on AI use and a benchmark for large language models. Chris Dixon comments on AI Winter skepticism, emphasizing long-term impact. Box introduces an AI API for extracting structured data from documents, highlighting potential and risks of LLM-driven solutions. Recent AI developments include Figure AI launching the advanced humanoid robot Figure 02, OpenAI rolling out Advanced Voice Mode for ChatGPT with emotion detection, Google open-sourcing Gemma 2 2B model matching GPT-3.5-Turbo-0613 performance, Meta AI Fair releasing Segment Anything Model 2 (SAM 2) for real-time object tracking, NVIDIA showcasing Project GR00T for humanoid teleoperation with Apple Vision Pro, Stability AI launching Stable Fast 3D for rapid 3D asset generation, and Runway unveiling Gen-3 Alpha for AI text-to-video generation.
not much happened today
sam-2 gemini-1.5-pro chatgpt midjourney-v6.1 meta-ai-fair google-deepmind scale-ai apple canva hugging-face object-segmentation quantization web-development-framework adversarial-robustness on-device-ai open-source robotics voice vision jeremyphoward demis-hassabis ylecun maartengrootendorst jimfan
Meta released SAM 2, a unified model for real-time object segmentation with a new dataset 4.5x larger and 53x more annotated than previous ones. FastHTML, a new Python web framework by Jeremy Howard, enables easy creation and deployment of interactive web apps. Scale AI launched the SEAL Leaderboard on adversarial robustness, topped by Gemini 1.5 Pro from Google DeepMind. Apple published a technical report on their Intelligence Foundation Language Models for on-device and server use. Yann LeCun emphasized the importance of open source AI in an article co-authored with Martin Casado and Ion Stoica. Maarten Grootendorst's "Visual Guide to Quantization" on efficient LLM inference went viral. ChatGPT started rolling out advanced voice and vision-enabled modes to select users. Leonardo AI was acquired by Canva. Jim Fan shared insights on Project Groot augmenting human demonstration data for robotics. Midjourney v6.1 was released.
DeepSeek-V2 beats Mixtral 8x22B with >160 experts at HALF the cost
deepseek-v2 llama-3-120b llama-3-400b gpt-4 mistral phi claude gemini mai-1 med-gemini deepseek-ai mistral-ai microsoft openai scale-ai tesla nvidia google-deepmind mixture-of-experts multi-head-attention model-inference benchmarking overfitting robotics teleoperation open-source multimodality hallucination-detection fine-tuning medical-ai model-training erhartford maximelabonne bindureddy adcock_brett drjimfan clementdelangue omarsar0 rohanpaul_ai
DeepSeek V2 introduces a new state-of-the-art MoE model with 236B parameters and a novel Multi-Head Latent Attention mechanism, achieving faster inference and surpassing GPT-4 on AlignBench. Llama 3 120B shows strong creative writing skills, while Microsoft is reportedly developing a 500B parameter LLM called MAI-1. Research from Scale AI highlights overfitting issues in models like Mistral and Phi, whereas GPT-4, Claude, Gemini, and Llama maintain benchmark robustness. In robotics, Tesla Optimus advances with superior data collection and teleoperation, LeRobot marks a move toward open-source robotics AI, and Nvidia's DrEureka automates robot skill training. Multimodal LLM hallucinations are surveyed with new mitigation strategies, and Google's Med-Gemini achieves SOTA on medical benchmarks with fine-tuned multimodal models.
Evals: The Next Generation
gpt-4 gpt-5 gpt-3.5 phi-3 mistral-7b llama-3 scale-ai mistral-ai reka-ai openai moderna sanctuary-ai microsoft mit meta-ai-fair benchmarking data-contamination multimodality fine-tuning ai-regulation ai-safety ai-weapons neural-networks model-architecture model-training model-performance robotics activation-functions long-context sam-altman jim-fan
Scale AI highlighted issues with data contamination in benchmarks like MMLU and GSM8K, proposing a new benchmark where Mistral overfits and Phi-3 performs well. Reka released the VibeEval benchmark for multimodal models addressing multiple choice benchmark limitations. Sam Altman of OpenAI discussed GPT-4 as "dumb" and hinted at GPT-5 with AI agents as a major breakthrough. Researchers jailbroke GPT-3.5 via fine-tuning. Global calls emerged to ban AI-powered weapons, with US officials urging human control over nuclear arms. Ukraine launched an AI consular avatar, while Moderna partnered with OpenAI for medical AI advancements. Sanctuary AI and Microsoft collaborate on AI for general-purpose robots. MIT introduced Kolmogorov-Arnold networks with improved neural network efficiency. Meta AI is training Llama 3 models with over 400 billion parameters, featuring multimodality and longer context.
Meta Llama 3 (8B, 70B)
llama-3-8b llama-3-70b llama-3-400b stable-diffusion-3 mixtral-8x22b-instruct-v0.1 vasa-1 meta-ai-fair stability-ai boston-dynamics microsoft mistral-ai hugging-face transformer tokenization model-training benchmarking robotics natural-language-processing real-time-processing synthetic-data dataset-cleaning behavior-trees ai-safety model-accuracy api model-release humor helen-toner
Meta partially released Llama 3 models including 8B and 70B variants, with a 400B variant still in training, touted as the first GPT-4 level open-source model. Stability AI launched Stable Diffusion 3 API with model weights coming soon, showing competitive realism against Midjourney V6. Boston Dynamics unveiled an electric humanoid robot Atlas, and Microsoft introduced the VASA-1 model generating lifelike talking faces at 40fps on RTX 4090. Mistral AI, a European OpenAI rival, is seeking $5B funding with its Mixtral-8x22B-Instruct-v0.1 model achieving 100% accuracy on 64K context benchmarks. AI safety discussions include calls from former OpenAI board member Helen Toner for audits of top AI companies, and the Mormon Church released AI usage principles. New AI development tools include Ctrl-Adapter for diffusion models, Distilabel 1.0.0 for synthetic dataset pipelines, Data Bonsai for data cleaning with LLMs, and Dendron for building LLM agents with behavior trees. Memes highlight AI development humor and cultural references. The release of Llama 3 models features improved reasoning, a 128K token vocabulary, 8K token sequences, and grouped query attention.
MM1: Apple's first Large Multimodal Model
mm1 gemini-1 command-r claude-3-opus claude-3-sonnet claude-3-haiku claude-3 apple cohere anthropic hugging-face langchain multimodality vqa fine-tuning retrieval-augmented-generation open-source robotics model-training react reranking financial-agents yann-lecun francois-chollet
Apple announced the MM1 multimodal LLM family with up to 30B parameters, claiming performance comparable to Gemini-1 and beating larger older models on VQA benchmarks. The paper targets researchers and hints at applications in embodied agents and business/education. Yann LeCun emphasized that human-level AI requires understanding the physical world, memory, reasoning, and hierarchical planning, while Fran ois Chollet cautioned that NLP is far from solved despite LLM advances. Cohere released Command-R, a model for Retrieval Augmented Generation, and Anthropic highlighted the Claude 3 family (Opus, Sonnet, Haiku) for various application needs. Open-source hardware DexCap enables dexterous robot manipulation data collection affordably. Tools like CopilotKit simplify AI integration into React apps, and migration to Keras 3 with JAX backend offers faster training. New projects improve reranking for retrieval and add financial agents to LangChain. The content includes insights on AI progress, new models, open-source tools, and frameworks.
The Era of 1-bit LLMs
bitnet-b1.58 hugging-face quantization model-optimization energy-efficiency fine-tuning robotics multimodality ai-security ethics humor swyx levelsio gdb npew _akhaliq osanseviero mmitchell_ai deliprao nearcyan clementdelangue
The Era of 1-bit LLMs research, including the BitNet b1.58 model, introduces a ternary parameter approach that matches full-precision Transformer LLMs in performance while drastically reducing energy costs by 38x. This innovation promises new scaling laws and hardware designs optimized for 1-bit LLMs. Discussions on AI Twitter highlight advances in AGI societal impact, robotics with multimodal models, fine-tuning techniques like ResLoRA, and AI security efforts at Hugging Face. Ethical considerations in generative AI and humor within the AI community are also prominent topics.