All tags
Model: "gpt-4.5"
QwQ-32B claims to match DeepSeek R1-671B
qwen-2.5-plus qwq-32b deepseek-r1 gpt-4.5 gpt-3 davinci alibaba openai deepseek-ai reinforcement-learning math code-execution instruction-following alignment reasoning model-release model-benchmarking scaling performance inference-costs aidan_mclau sama scaling01 juberti polynoamial reach_vb
Alibaba Qwen released their QwQ-32B model, a 32 billion parameter reasoning model using a novel two-stage reinforcement learning approach: first scaling RL for math and coding tasks with accuracy verifiers and code execution servers, then applying RL for general capabilities like instruction following and alignment. Meanwhile, OpenAI rolled out GPT-4.5 to Plus users, with mixed feedback on coding performance and noted inference cost improvements. The QwQ model aims to compete with larger MoE models like DeepSeek-R1. "GPT-4.5 is unusable for coding" was a notable user critique, while others praised its reasoning improvements due to scaling pretraining.
not much happened today
grok-3 grok-3-mini gpt-4.5 claude-3.7-sonnet quasar-alpha optimus-alpha gpt-4.1 kaleidoscope internvl3 internvit qwen2.5vl transmamba fantasytalking openai alibaba cmu reinforcement-learning reasoning benchmarks vision multilinguality multimodality transformers attention-mechanisms agents code-generation model-performance rasbt sarahookr mervenoyann gneubig svpino mathemagic1an
The AI news recap highlights independent evaluations showing Grok-3 outperforming models like GPT-4.5 and Claude 3.7 Sonnet on reasoning benchmarks, while Grok-3 mini excels in reasoning tasks. Research on reinforcement learning (RL) fine-tuning reveals potential improvements for small reasoning models but also notes instability in reported gains. Benchmark results suggest Quasar Alpha and Optimus Alpha may be versions of GPT-4.1. Vision and multimodal models like Kaleidoscope, supporting 18 languages, and InternVL3, built on InternViT and Qwen2.5VL, demonstrate advances in multilingual vision and reasoning. The fusion model TransMamba combines transformer precision with speed via SSM mechanisms. Alibaba's FantasyTalking generates realistic talking portraits. Agent-focused events at CMU and tools like FilmAgent AI for virtual film production and BrowseComp benchmark for browsing agents were announced. The coding assistant Augment supports multiple IDEs with code analysis and suggestions. Discussions also covered Google’s new agent-to-agent protocol concept.
not much happened today
gpt-4.5 claude-3.7-sonnet deepseek-r1 smolagents-codeagent gpt-4o llama-3-8b tinyr1-32b-preview r1-searcher forgetting-transformer nanomoe openai deepseek hugging-face mixture-of-experts reinforcement-learning kv-cache-compression agentic-ai model-distillation attention-mechanisms model-compression minimax model-pretraining andrej-karpathy cwolferesearch aymericroucher teortaxestex jonathanross321 akhaliq
The AI news recap highlights several key developments: nanoMoE, a PyTorch implementation of a mid-sized Mixture-of-Experts (MoE) model inspired by Andrej Karpathy's nanoGPT, enables pretraining on commodity hardware within a week. An agentic leaderboard ranks LLMs powering smolagents CodeAgent, with GPT-4.5 leading, followed by Claude-3.7-Sonnet. Discussions around DeepSeek-R1 emphasize AI model commoditization, with DeepSeek dubbed the "OpenAI of China." Q-Filters offer a training-free method for KV cache compression in autoregressive models, achieving 32x compression with minimal perplexity loss. The PokéChamp minimax language agent, powered by GPT-4o and Llama-3-8b, demonstrates strong performance in Pokémon battles. Other notable models include TinyR1-32B-Preview with Branch-Merge Distillation, R1-Searcher incentivizing search capability via reinforcement learning, and the Forgetting Transformer using a Forget Gate in softmax attention. These advancements reflect ongoing innovation in model architectures, compression, reinforcement learning, and agentic AI.
DeepSeek's Open Source Stack
qwen-qwq-32b start character-3 gemini gemini-2.0 mercury-coder gpt-4.5 jamba-mini-1.6 gemini-2.0-flash gpt-4o-mini mistral-small-3 mistral-ocr deepseek pyspur hugging-face togethercompute hedra-labs google-deepmind deeplearningai openai ai21-labs mistral-ai fine-tuning benchmarking multimodality code-generation diffusion-models model-performance model-optimization ocr embedding-models context-windows runtime-limits _akhaliq lmarena_ai reach_vb danielhanchen _philschmid aidan_mclau vikhyatk jerryjliu0
DeepSeek's Open Source Week was summarized by PySpur, highlighting multiple interesting releases. The Qwen QwQ-32B model was fine-tuned into START, excelling in PhD-level science QA and math benchmarks. Character-3, an omnimodal AI video generation model by Hedra Labs and Together AI, enables realistic animated content creation. Google DeepMind introduced the Gemini embedding model with an 8k context window, ranking #1 on MMTEB, alongside the Gemini 2.0 Code Executor supporting Python libraries and auto-fix features. Inception Labs' Mercury Coder is a diffusion-based code generation model offering faster token processing. OpenAI released GPT-4.5, their largest model yet but with less reasoning ability than some competitors. AI21 Labs launched Jamba Mini 1.6, noted for superior output speed compared to Gemini 2.0 Flash, GPT-4o mini, and Mistral Small 3. A new dataset of 1.9M scanned pages was released for OCR benchmarking, with Mistral OCR showing competitive but not top-tier document parsing performance compared to LLM/LVM-powered methods. "Cracked engineers are all you need."
Anthropic's $61.5B Series E
gpt-4.5 claude-3.7-sonnet deepseek-r1 anthropic openai deepseek lmsys perplexity-ai deutsche-telekom model-performance benchmarking style-control coding multi-turn funding partnerships workflow lmarena_ai teortaxestex casper_hansen_ omarsar0 aidan_mclau willdepue vikhyatk teknim1 reach_vb _aidan_clark_ cto_junior aravsrinivas
Anthropic raised a $3.5 billion Series E funding round at a $61.5 billion valuation, signaling strong financial backing for the Claude AI model. GPT-4.5 achieved #1 rank across all categories on the LMArena leaderboard, excelling in multi-turn conversations, coding, math, creative writing, and style control. DeepSeek R1 tied with GPT-4.5 for top performance on hard prompts with style control. Discussions highlighted comparisons between GPT-4.5 and Claude 3.7 Sonnet in coding and workflow applications. The importance of the LMSYS benchmark was emphasized, though some questioned the relevance of benchmarks versus user acquisition. Additionally, Perplexity AI partnered with Deutsche Telekom to integrate the Perplexity Assistant into a new AI phone.
not much happened today
gpt-4.5 gpt-4 gpt-4o o1 claude-3.5-sonnet claude-3.7 claude-3-opus deepseek-v3 grok-3 openai anthropic perplexity-ai deepseek scaling01 model-performance humor emotional-intelligence model-comparison pricing context-windows model-size user-experience andrej-karpathy jeremyphoward abacaj stevenheidel yuchenj_uw aravsrinivas dylan522p random_walker
GPT-4.5 sparked mixed reactions on Twitter, with @karpathy noting users preferred GPT-4 in a poll despite his personal favor for GPT-4.5's creativity and humor. Critics like @abacaj highlighted GPT-4.5's slowness and questioned its practical value and pricing compared to other models. Performance-wise, GPT-4.5 ranks above GPT-4o but below o1 and Claude 3.5 Sonnet, with Claude 3.7 outperforming it on many tasks yet GPT-4.5 praised for its humor and "vibes." Speculation about GPT-4.5's size suggests around 5 trillion parameters. Discussions also touched on pricing disparities, with Perplexity Deep Research at $20/month versus ChatGPT at $200/month. The emotional intelligence and humor of models like Claude 3.7 were also noted.
GPT 4.5 — Chonky Orion ships!
gpt-4.5 phi-4-multimodal phi-4-mini command-r7b-arabic openai microsoft cohere creative-writing natural-language-processing multimodality math coding context-windows model-releases open-source arabic-language sama kevinweil aidan_mclau omarsar0 rasbt reach_vb
OpenAI released GPT-4.5 as a research preview, highlighting its deep world knowledge, improved understanding of user intent, and a 128,000 token context window. It is noted for excelling in writing, creative tasks, image understanding, and data extraction but is not a reasoning model. Microsoft unveiled Phi-4 Multimodal and Phi-4 Mini, open-source models integrating text, vision, and speech/audio, with strong performance in math and coding tasks. Cohere released Command R7B Arabic, an open-weights model optimized for Arabic language capabilities targeting enterprises in the MENA region. The community is exploring the impact of larger models on creative writing, intent understanding, and world knowledge, with GPT-4.5 expected to be a basis for GPT-5.
small news items
gpt-4.5 gpt-5 deepseek-r1-distilled-qwen-1.5b o1-preview modernbert-0.3b qwen-0.5b o3 openai ollama mistral perplexity cerebras alibaba groq bytedance math benchmarking fine-tuning model-performance reinforcement-learning model-architecture partnerships funding jeremyphoward arankomatsuzaki sama nrehiew_ danhendrycks akhaliq
OpenAI announced plans for GPT-4.5 (Orion) and GPT-5, with GPT-5 integrating the o3 model and offering unlimited chat access in the free tier. DeepSeek R1 Distilled Qwen 1.5B outperforms OpenAI's o1-preview on math benchmarks, while ModernBERT 0.3b surpasses Qwen 0.5b at MMLU without fine-tuning. Mistral and Perplexity adopt Cerebras hardware for 10x performance gains. OpenAI's o3 model won a gold medal at the 2024 International Olympiad in Informatics. Partnerships include Qwen with Groq. Significant RLHF activity is noted in Nigeria and the global south, and Bytedance is expected to rise in AI prominence soon. "GPT5 is all you need."
not much happened today
o1-full sora gpt-4.5 gpt-4 claude-3.5-sonnet llama-3-1-nemotron-51b llama-3-1 llama-3 nemotron-51b openai google-deepmind anthropic nvidia huggingface vision model-performance neural-architecture-search model-optimization multimodality model-release model-training reinforcement-learning image-generation lucas-beyer alexander-kolesnikov xiaohua-zhai aidan_mclau giffmana joannejang sama
OpenAI announced their "12 Days of OpenAI" event with daily livestreams and potential releases including the O1 full model, Sora video model, and GPT-4.5. Google DeepMind released the GenCast weather model capable of 15-day forecasts in 8 minutes using TPU chips, and launched Genie 2, a model generating playable 3D worlds from single images. Leading vision researchers Lucas Beyer, Alexander Kolesnikov, and Xiaohua Zhai moved from DeepMind to OpenAI, which is opening a Zürich office. Criticism arose over OpenAI's strategy and model quality compared to Anthropic and Claude 3.5 Sonnet. On Reddit, a modified llama.cpp supports Nvidia's Llama-3_1-Nemotron-51B, matching performance of larger 70B models via NAS optimization.
12/18/2023: Gaslighting Mistral for fun and profit
gpt-4-turbo gpt-3.5-turbo claude-2.1 claude-instant-1 gemini-pro gpt-4.5 dalle-3 openai anthropic google-deepmind prompt-engineering api model-performance ethics role-play user-experience ai-impact-on-jobs ai-translation technical-issues sam-altman
OpenAI Discord discussions reveal comparisons among language models including GPT-4 Turbo, GPT-3.5 Turbo, Claude 2.1, Claude Instant 1, and Gemini Pro, with GPT-4 Turbo noted for user-centric explanations. Rumors about GPT-4.5 remain unconfirmed, with skepticism prevailing until official announcements. Users discuss technical challenges like slow responses and API issues, and explore role-play prompt techniques to enhance model performance. Ethical concerns about AI's impact on academia and employment are debated. Future features for Dalle 3 and a proposed new GPT model are speculated upon, while a school project seeks help using the OpenAI API. The community also touches on AI glasses and job market implications of AI adoption.
12/16/2023: ByteDance suspended by OpenAI
claude-2.1 gpt-4-turbo gemini-1.5-pro gpt-5 gpt-4.5 gpt-4 openai google-deepmind anthropic hardware gpu api-costs coding model-comparison subscription-issues payment-processing feature-confidentiality ai-art-generation organizational-productivity model-speculation
The OpenAI Discord community discussed hardware options like Mac racks and the A6000 GPU, highlighting their value for AI workloads. They compared Claude 2.1 and GPT 4 Turbo on coding tasks, with GPT 4 Turbo outperforming Claude 2.1. The benefits of the Bard API for gemini pro were noted, including a free quota of 60 queries per minute. Users shared experiences with ChatGPT Plus membership issues, payment problems, and speculated about the upcoming GPT-5 and the rumored GPT-4.5. Discussions also covered the confidentiality of the Alpha feature, AI art generation policies, and improvements in organizational work features. The community expressed mixed feelings about GPT-4's performance and awaited future model updates.
12/15/2023: Mixtral-Instruct beats Gemini Pro (and matches GPT3.5)
mixtral gemini-pro gpt-3.5 gpt-4.5 gpt-4 chatgpt lmsys openai deepseek cloudflare huggingface performance context-window prompt-engineering privacy local-gpu cloud-gpu code-generation model-comparison model-usage api-errors karpathy
Thanks to a karpathy shoutout, lmsys now has enough data to rank mixtral and gemini pro. The discussion highlights the impressive performance of these state-of-the-art open-source models that can run on laptops. In the openai Discord, users compared AI tools like perplexity and chatgpt's browsing tool, favoring Perplexity for its superior data gathering, pricing, and usage limits. Interest was shown in AI's ability to convert large code files with deepseek coder recommended. Debates on privacy implications for AI advancement and challenges of running LLMs on local and cloud GPUs were prominent. Users reported issues with chatgpt including performance problems, loss of access to custom GPTs, and unauthorized access. Discussions also covered prompt engineering for large context windows and speculations about gpt-4.5 and gpt-4 future developments.
12/14/2023: $1e7 for Superalignment
gemini bard gpt-4 gpt-4.5 llama-2 openai llamaindex perplexity-ai prompt-engineering api custom-gpt json bug-fixes chatbots performance tts code-generation image-recognition jan-leike patrick-collison
Jan Leike is launching a new grant initiative inspired by Patrick Collison's Fast Grants to support AI research. OpenAI introduced a new developers Twitter handle @OpenAIDevs for community updates. Discussions on OpenAI's Gemini and Bard chatbots highlight their ability to read each other's instructions and offer unique coding solutions. Users reported various issues with GPT-4, including performance problems, customization difficulties, and a resolved bug in image recognition. There are ongoing conversations about prompt engineering challenges and new JSON mode support in Convo-lang for API use. Concerns about misuse of chatbots for illegal activities and alternatives like Llama2 models and the Perplexity chatbot were also discussed.
12/7/2023: Anthropic says "skill issue"
claude-2.1 gpt-4 gpt-3.5 gemini-pro gemini-ultra gpt-4.5 chatgpt bingchat dall-e gpt-5 anthropic openai google prompt-engineering model-performance regulation language-model-performance image-generation audio-processing midi-sequence-analysis subscription-issues network-errors
Anthropic fixed a glitch in their Claude 2.1 model's needle in a haystack test by adding a prompt. Discussions on OpenAI's Discord compared Google's Gemini Pro and Gemini Ultra models with OpenAI's GPT-4 and GPT-3.5, with some users finding GPT-4 superior in benchmarks. Rumors about a GPT-4.5 release circulated without official confirmation. Concerns were raised about "selective censorship" affecting language model performance. The EU's potential regulation of AI, including ChatGPT, was highlighted. Users reported issues with ChatGPT Plus message limits and subscription upgrades, and shared experiences with BingChat and DALL-E. The community discussed prompt engineering techniques and future applications like image generation and MIDI sequence analysis, expressing hopes for GPT-5.