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Company: "xai"
Grok 4: xAI succeeds in going from 0 to new SOTA LLM in 2 years
grok-4 grok-4-heavy claude-4-opus xai perplexity-ai langchain cursor cline model-releases benchmarking long-context model-pricing model-integration voice performance scaling gpu-optimization elonmusk aravsrinivas igor_babuschkin yuchenj_uw
xAI launched Grok 4 and Grok 4 Heavy, large language models rumored to have 2.4 trillion parameters and trained with 100x more compute than Grok 2 on 100k H100 GPUs. Grok 4 achieved new state-of-the-art results on benchmarks like ARC-AGI-2 (15.9%), HLE (50.7%), and Vending-Bench, outperforming models such as Claude 4 Opus. The model supports a 256K context window and is priced at $3.00/M input tokens and $15.00/M output tokens. It is integrated into platforms like Cursor, Cline, LangChain, and Perplexity Pro/Max. The launch was accompanied by a controversial voice mode and sparked industry discussion about xAI's rapid development pace, with endorsements from figures like Elon Musk and Arav Srinivas.
not much happened today
grok-4 smollm3 t5gemma claude-3.7-sonnet deepseek-r1 langchain openai google-deepmind perplexity xai microsoft huggingface anthropic agentic-ai model-controversy open-source model-release alignment fine-tuning long-context multimodality model-research aravsrinivas clementdelangue _akhaliq
LangChain is nearing unicorn status, while OpenAI and Google DeepMind's Gemini 3 Pro models are launching soon. Perplexity rolls out its agentic browser Comet to waitlists, offering multitasking and voice command features. xAI's Grok-4 update sparked controversy due to offensive outputs, drawing comparisons to Microsoft's Tay bot and resulting in regional blocks. Hugging Face released SmolLM3, a 3B parameter open-source model with state-of-the-art reasoning and long context capabilities. Google introduced T5Gemma encoder-decoder models, a significant update in this model category. Anthropic investigates "alignment faking" in language models, focusing on safety concerns with models like Claude 3.7 Sonnet and DeepSeek-R1. "Grok 3 had high reasoning, Grok 4 has heil reasoning" was a notable user comment on the controversy.
AI Engineer Summit Day 1
grok-3 o3-mini deepseek-r1 qwen-2.5-vl openai anthropic xai togethercompute alibaba sakana-ai benchmarking model-performance cuda model-training open-source debugging inference-speed batch-size reinforcement-learning aidan_mclau giffmana nrehiew_ teortaxestex epochairesearch andrew_n_carr borismpower yuhu_ai_
The AIE Summit in NYC highlighted key talks including Grace Isford's Trends Keynote, Neo4j/Pfizer's presentation, and OpenAI's first definition of Agents. Speakers announced $930 million in funding. On AI Twitter, discussions focused on Grok-3 and o3-mini models, with debates on performance and benchmarking, including Grok-3's record compute scale of 4e26 to 5e26 FLOP. The o3-mini model uncovered a critical CUDA kernel bug in Sakana AI's code. DeepSeek-R1 was promoted as an open-source alternative with notable training batch sizes. Additionally, Alibaba announced the Qwen 2.5-VL model release.
not much happened today
grok-3 deepseek-r1 siglip-2 o3-mini-high r1-1776 llamba-1b llamba-3b llamba-8b llama-3 alphamaze audiobox-aesthetics xai nvidia google-deepmind anthropic openai bytedance ollama meta-ai-fair benchmarking model-releases performance reasoning multimodality semantic-understanding ocr multilinguality model-distillation recurrent-neural-networks visual-reasoning audio-processing scaling01 iscienceluvr philschmid arankomatsuzaki reach_vb mervenoyann wightmanr lmarena_ai ollama akhaliq
Grok-3, a new family of LLMs from xAI using 200,000 Nvidia H100 GPUs for advanced reasoning, outperforms models from Google, Anthropic, and OpenAI on math, science, and coding benchmarks. DeepSeek-R1 from ByteDance Research achieves top accuracy on the challenging SuperGPQA dataset. SigLIP 2 from GoogleDeepMind improves semantic understanding and OCR with flexible resolutions and multilingual capabilities, available on HuggingFace. OpenAI's o3-mini-high ranks #1 in coding and math prompts. Perplexity's R1 1776, a post-trained version of DeepSeek R1, is available on Ollama. The Llamba family distills Llama-3.x into efficient recurrent models with higher throughput. AlphaMaze combines DeepSeek R1 with GRPO for visual reasoning on ARC-AGI puzzles. Audiobox Aesthetics from Meta AI offers unified quality assessment for audio. The community notes that Grok 3's compute increase yields only modest performance gains.
Everybody shipped small things this holiday weekend
gpt-4o-voice gemini claude jamba-1.5 mistral-nemo-minitron-8b xai google anthropic openai cognition ai21-labs nvidia langchain fine-tuning long-context parameter-efficient-fine-tuning latex-rendering real-time-audio virtual-try-on resource-tags low-code ai-agents workspace-organization model-benchmarking dario-amodei scott-wu fchollet svpino
xAI announced the Colossus 100k H100 cluster capable of training an FP8 GPT-4 class model in 4 days. Google introduced Structured Output for Gemini. Anthropic discussed Claude's performance issues possibly due to API prompt modifications. OpenAI enhanced controls for File Search in their Assistants API. Cognition and Anthropic leaders appeared on podcasts. The viral Kwai-Kolors virtual try-on model and the open-source real-time audio conversational model Mini-Omni (similar to gpt-4o-voice) were released. Tutorials on parameter-efficient fine-tuning with LoRA and QLoRA, long-context embedding challenges, and Claude's LaTeX rendering feature were highlighted. AI21 Labs released Jamba 1.5 models with a 256K context window and faster long-context performance. NVIDIA debuted Mistral-Nemo-Minitron-8B on the Open LLM Leaderboard. LangChain introduced resource tags for workspace organization, and a low-code AI app toolkit was shared by svpino. Legal AI agents and financial agent evaluations using LangSmith were also featured.
Grok-1 in Bio
grok-1 mixtral miqu-70b claude-3-opus claude-3 claude-3-haiku xai mistral-ai perplexity-ai groq anthropic openai mixture-of-experts model-release model-performance benchmarking finetuning compute hardware-optimization mmlu model-architecture open-source memes sam-altman arthur-mensch daniel-han arav-srinivas francis-yao
Grok-1, a 314B parameter Mixture-of-Experts (MoE) model from xAI, has been released under an Apache 2.0 license, sparking discussions on its architecture, finetuning challenges, and performance compared to models like Mixtral and Miqu 70B. Despite its size, its MMLU benchmark performance is currently unimpressive, with expectations that Grok-2 will be more competitive. The model's weights and code are publicly available, encouraging community experimentation. Sam Altman highlighted the growing importance of compute resources, while Grok's potential deployment on Groq hardware was noted as a possible game-changer. Meanwhile, Anthropic's Claude continues to attract attention for its "spiritual" interaction experience and consistent ethical framework. The release also inspired memes and humor within the AI community.