All tags
Model: "chatgpt"
Apple exposes Foundation Models API and... no new Siri
chatgpt apple openai langchain llamaindex on-device-ai foundation-models reasoning reinforcement-learning voice translation software-automation agentic-workflows gdb scaling01 giffmana kevinweil
Apple released on-device foundation models for iOS developers, though their recent "Illusion of Reasoning" paper faced significant backlash for flawed methodology regarding LLM reasoning. OpenAI updated ChatGPT's Advanced Voice Mode with more natural voice and improved translation, demonstrated by Greg Brockman. LangChain and LlamaIndex launched new AI agents and tools, including a SWE Agent for software automation and an Excel agent using reinforcement learning for data transformation. The AI community engaged in heated debate over reasoning capabilities of LLMs, highlighting challenges in evaluation methods.
Mistral's Agents API and the 2025 LLM OS
qwen claude-4 chatgpt o3 o4 mistral-ai langchain-ai openai meta-ai-fair agent-frameworks multi-agent-systems tool-use code-execution web-search model-context-protocol persistent-memory function-calling open-source no-code reinforcement-learning model-performance agent-orchestration omarsar0 simonw swyx scaling01
The LLM OS concept has evolved since 2023, with Mistral AI releasing a new Agents API that includes code execution, web search, persistent memory, and agent orchestration. LangChainAI introduced the Open Agent Platform (OAP), an open-source no-code platform for intelligent agents. OpenAI plans to develop ChatGPT into a super-assistant by H1 2025, competing with Meta. Discussions around Qwen models focus on reinforcement learning effects, while Claude 4 performance is also noted. The AI Engineer World's Fair is calling for volunteers.
not much happened today
chatgpt o3 o4 bagel-7b medgemma acereason-nemotron-14b codex gemini openai bytedance google nvidia sakana-ai-labs deep-learning-ai gemini agenticseek anthropic agentic-systems multimodality reasoning code-generation prompt-engineering privacy ethical-ai emergence synthetic-data speech-instruction-tuning low-resource-languages humor scaling01 mervenoyann sakananailabs _philschmid omarsar0 teortaxestex andrewlampinen sedielem cis_female
OpenAI plans to evolve ChatGPT into a super-assistant by 2025 with models like o3 and o4 enabling agentic tasks and supporting a billion users. Recent multimodal and reasoning model releases include ByteDance's BAGEL-7B, Google's MedGemma, and NVIDIA's ACEReason-Nemotron-14B. The Sudoku-Bench Leaderboard highlights ongoing challenges in AI creative reasoning. In software development, OpenAI's Codex aids code generation and debugging, while Gemini's Context URL tool enhances prompt context. AgenticSeek offers a local, privacy-focused alternative for autonomous agents. Ethical concerns are raised about AGI development priorities and Anthropic's alignment with human values. Technical discussions emphasize emergence in AI and training challenges, with humor addressing misconceptions about Gemini 3.0 and async programming in C. A novel synthetic speech training method enables instruction tuning of LLMs without real speech data, advancing low-resource language support.
OpenAI o3, o4-mini, and Codex CLI
o3 o4-mini gemini-2.5-pro claude-3-sonnet chatgpt openai reinforcement-learning performance vision tool-use open-source coding-agents model-benchmarking multimodality scaling inference sama aidan_mclau markchen90 gdb aidan_clark_ kevinweil swyx polynoamial scaling01
OpenAI launched the o3 and o4-mini models, emphasizing improvements in reinforcement-learning scaling and overall efficiency, making o4-mini cheaper and better across prioritized metrics. These models showcase enhanced vision and tool use capabilities, though API access for these features is pending. The release includes Codex CLI, an open-source coding agent that integrates with these models to convert natural language into working code. Accessibility extends to ChatGPT Plus, Pro, and Team users, with o3 being notably more expensive than Gemini 2.5 Pro. Performance benchmarks highlight the intelligence gains from scaling inference, with comparisons against models like Sonnet and Gemini. The launch has been well received despite some less favorable evaluation results.
not much happened today
gemini-2.5-pro chatgpt deepseek-v3 qwen-2.5 claude-3.5-sonnet claude-3.7-sonnet google anthropic openai llama_index langchain runway deepseek math benchmarking chains-of-thought model-performance multi-agent-systems agent-frameworks media-generation long-horizon-planning code-generation rasbt danielhanchen hkproj
Gemini 2.5 Pro shows strengths and weaknesses, notably lacking LaTex math rendering unlike ChatGPT, and scored 24.4% on the 2025 US AMO. DeepSeek V3 ranks 8th and 12th on recent leaderboards. Qwen 2.5 models have been integrated into the PocketPal app. Research from Anthropic reveals that Chains-of-Thought (CoT) reasoning is often unfaithful, especially on harder tasks, raising safety concerns. OpenAI's PaperBench benchmark shows AI agents struggle with long-horizon planning, with Claude 3.5 Sonnet achieving only 21.0% accuracy. CodeAct framework generalizes ReAct for dynamic code writing by agents. LangChain explains multi-agent handoffs in LangGraph. Runway Gen-4 marks a new phase in media creation.
Meta Apollo - Video Understanding up to 1 hour, SOTA Open Weights
apollo-1b apollo-3b apollo-7b veo-2 imagen-3 llama-3-70b llama-3b command-r7b llama-1b llama-8b chatgpt meta-ai-fair hugging-face google-deepmind openai figure-ai klarna cohere notion video-understanding scaling-consistency benchmarking temporal-ocr egocentric-perception spatial-perception reasoning video-generation physics-simulation voice-features map-integration language-expansion test-time-compute-scaling humanoid-robots ai-integration search-optimization self-recognition self-preference-bias akhaliq _lewtun clementdelangue adcock_brett rohanpaul_ai swyx shaneguML
Meta released Apollo, a new family of state-of-the-art video-language models available in 1B, 3B, and 7B sizes, featuring "Scaling Consistency" for efficient scaling and introducing ApolloBench, which speeds up video understanding evaluation by 41× across five temporal perception categories. Google Deepmind launched Veo 2, a 4K video generation model with improved physics and camera control, alongside an enhanced Imagen 3 image model. OpenAI globally rolled out ChatGPT search with advanced voice and map features and discussed a potential $2,000/month "ChatGPT Max" tier. Research highlights include achieving Llama 70B performance using Llama 3B via test-time compute scaling and expanding Command R7B language support from 10 to 23 languages. Industry updates feature Figure AI delivering humanoid robots commercially and Klarna reducing workforce through AI. Notion integrated Cohere Rerank for better search. Studies reveal LLMs can recognize their own writing style and show self-preference bias. Discussions note video processing progress outpacing text due to better signal-per-compute and data evaluation.
not much happened to end the week
gemini deepseek-r1 o1 chatgpt gpt-4 claude-3.5-sonnet o1-preview o1-mini gpt4o qwq-32b google-deepmind deeplearningai amazon tesla x-ai alibaba ollama multimodality benchmarking quantization reinforcement-learning ai-safety translation reasoning interpretability model-comparison humor yoshua-bengio kevinweil ylecun
AI News for 11/29/2024-11/30/2024 covers key updates including the Gemini multimodal model advancing in musical structure understanding, a new quantized SWE-Bench for benchmarking at 1.3 bits per task, and the launch of the DeepSeek-R1 model focusing on transparent reasoning as an alternative to o1. The establishment of the 1st International Network of AI Safety Institutes highlights global collaboration on AI safety. Industry updates feature Amazon's Olympus AI model, Tesla's Optimus, and experiments with ChatGPT as a universal translator. Community reflections emphasize the impact of large language models on daily life and medical AI applications. Discussions include scaling sparse autoencoders to gpt-4 and the need for transparency in reasoning LLMs. The report also notes humor around ChatGPT's French nickname.
Not much happened today
grok-beta llama-3-1-70b claude-3-5-haiku claude-3-opus llama-3 chatgpt gemini meta-ai-fair scale-ai anthropic perplexity-ai langchainai weights-biases qwen pricing national-security defense open-source agentic-ai retrieval-augmented-generation election-predictions real-time-updates annotation ai-ecosystem memes humor alexandr_wang svpino aravsrinivas bindureddy teortaxestex jessechenglyu junyang-lin cte_junior jerryjliu0
Grok Beta surpasses Llama 3.1 70B in intelligence but is less competitive due to its pricing at $5/1M input tokens and $15/1M output tokens. Defense Llama, developed with Meta AI and Scale AI, targets American national security applications. SWE-Kit, an open-source framework, supports building customizable AI software engineers compatible with Llama 3, ChatGPT, and Claude. LangChainAI and Weights & Biases integrate to improve retrievers and reduce hallucinations in RAG applications using Gemini. Perplexity AI offers enhanced election tracking tools for the 2024 elections, including live state results and support for Claude 3.5 Haiku. AI Talk launched featuring discussions on Chinese AI labs with guests from Qwen. Memes highlight Elon Musk and humorous AI coding mishaps.
Not much (in AI) happened this weekend
llama-3.1-8b llama-3.2 chatgpt movie-gen openai meta-ai-fair google-deepmind microsoft x-ai spacex harvard nvidia long-context feature-prediction-loss ai-agents privacy text-to-video text-to-image humanoid-robots gpu-deployment media-foundation-models ai-research-labs sam-altman yann-lecun rasbt bindureddy andrej-karpathy soumithchintala svpino adcock_brett rohanpaul_ai
OpenAI introduced an "edit this area" feature for image generation, praised by Sam Altman. Yann LeCun highlighted a NYU paper improving pixel generation with feature prediction loss using pre-trained visual encoders like DINOv2. Long-context LLMs such as llama-3.1-8b and llama-3.2 variants now support up to 131k tokens, offering alternatives to RAG systems. Bindu Reddy announced AI agents capable of building and deploying code from English instructions, signaling AI's replacement of SQL and potential impact on Python. SpaceX's successful Starship rocket catch was celebrated by Andrej Karpathy and others, with Soumith Chintala praising SpaceX's efficient, low-bureaucracy research approach. Privacy concerns arose from Harvard students' AI glasses, I-XRAY, which can reveal personal information. Meta AI FAIR's Movie Gen model advances media foundation models with high-quality text-to-image and video generation, including synced audio. Humanoid robots like Ameca and Azi now engage in expressive conversations using ChatGPT. xAI rapidly deployed 100K Nvidia H100 GPUs in 19 days, with CEO Jensen Huang commending Elon Musk. Leading AI research labs compared include Meta-FAIR, Google DeepMind, and Microsoft Research. Skepticism about LLM intelligence was voiced by Sam Pino, emphasizing limitations in novel problem-solving despite strong memorization.
Contextual Document Embeddings: `cde-small-v1`
llama-3 cde-small-v1 gemini-1.5-flash-8b chatgpt meta-ai-fair openai google-deepmind weights-biases togethercompute contextual-embeddings contextual-batching video-generation synthetic-data model-efficiency training-techniques rag algorithmic-efficiency jack-morris sasha-rush tim-brooks demis-hassabis karina-nguyen
Meta announced a new text-to-video model, Movie Gen, claiming superior adaptation of Llama 3 to video generation compared to OpenAI's Sora Diffusion Transformers, though no release is available yet. Researchers Jack Morris and Sasha Rush introduced the cde-small-v1 model with a novel contextual batching training technique and contextual embeddings, achieving strong performance with only 143M parameters. OpenAI launched Canvas, a collaborative interface for ChatGPT with synthetic data training. Google DeepMind welcomed Tim Brooks to work on video generation and world simulators. Google released Gemini 1.5 Flash-8B, improving cost and rate limits with algorithmic efficiency.
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.
Problems with MMLU-Pro
mmlu-pro llama-3-8b-q8 gpt4all-3.0 chatgpt claude llama gemini mobilellm runway-gen-3-alpha meta-3d-gen huggingface meta-ai-fair salesforce runway nomic-ai pineapple argil-ai benchmarking prompt-engineering model-evaluation model-performance multimodality automated-dataset-generation video-generation open-source-models ai-assistants text-to-3d deepfake transformers reasoning wenhu-chen danhendrycks clementine ylecun adcock_brett svpino rohanpaul_ai
MMLU-Pro is gaining attention as the successor to MMLU on the Open LLM Leaderboard V2 by HuggingFace, despite community concerns about evaluation discrepancies and prompt sensitivity affecting model performance, notably a 10-point improvement in Llama-3-8b-q8 with simple prompt tweaks. Meta's MobileLLM research explores running sub-billion parameter LLMs on smartphones using shared weights and deeper architectures. Salesforce's APIGen introduces an automated dataset generation system for function-calling tasks outperforming larger models. Runway Gen-3 Alpha launches an AI video generator for paid users creating realistic 10-second clips. Nomic AI's GPT4All 3.0 offers an open-source desktop app supporting thousands of local models. AI assistants with multimodal capabilities and affordable access to multiple LLMs like ChatGPT, Claude, Llama, and Gemini are emerging. Meta 3D Gen advances text-to-3D asset generation, while Argil AI enables deepfake video creation from text threads. Research on transformer grokking and reasoning highlights advances in robust reasoning capabilities.
Francois Chollet launches $1m ARC Prize
gpt-4 chatgpt openai apple togethercompute benchmarking agi pattern-recognition skill-acquisition privacy on-device-ai mixed-precision-quantization mixture-of-experts multimodality agentic-ai francois-chollet karpathy svpino philschmid clementdelangue sama gdb miramurati kevin-weil sarah-friar
François Chollet critiques current paths to AGI, emphasizing the importance of benchmarks that resist saturation and focus on skill acquisition and open-ended problem solving. The ARC-AGI puzzles exemplify "easy for humans, hard for AI" challenges to measure progress toward AGI. Meanwhile, Apple announces integration of ChatGPT into iOS, iPadOS, and macOS through a partnership with OpenAI, enabling AI-powered features like document summarization and photo analysis with privacy-preserving measures. Discussions highlight Apple's focus on deep AI integration and on-device models optimized with techniques like mixed-precision quantization, though some skepticism remains about their AI capabilities compared to GPT-4. Additionally, Together Compute introduces a Mixture of Agents approach achieving strong performance on AlpacaEval 2.0.
1/10/2024: All the best papers for AI Engineers
chatgpt gpt-4 dall-e-3 stable-diffusion deepseek-moe openai deepseek-ai prompt-engineering model-release rate-limiting ethics image-generation moe collaborative-workspaces data-privacy abdubs darthgustav
OpenAI launched the GPT Store featuring over 3 million custom versions of ChatGPT accessible to Plus, Team, and Enterprise users, with weekly highlights of impactful GPTs like AllTrails. The new ChatGPT Team plan offers advanced models including GPT-4 and DALL·E 3, alongside collaborative tools and enhanced data privacy. Discussions around AI-generated imagery favored DALL·E and Stable Diffusion, while users faced rate limit challenges and debated the GPT Store's SEO and categorization. Ethical considerations in prompt engineering were raised with a three-layer framework called 'The Sieve'. Additionally, DeepSeek-MoE was noted for its range of Mixture of Experts (MoE) model sizes. "The Sieve," a three-layer ethical framework for AI, was highlighted in prompt engineering discussions.
1/2/2024: Smol tweaks to Smol Talk
claude-2 bard copilot meta-ai gemini-ultra chatgpt openai meta-ai-fair perplexity-ai prompt-engineering api json yaml markdown chatbot image-generation vpn browser-compatibility personality-tuning plugin-issues
OpenAI Discord discussions highlight a detailed comparison of AI search engines including Perplexity, Copilot, Bard, and Claude 2, with Bard and Claude 2 trailing behind. Meta AI chatbot by Meta is introduced, available on Instagram and Whatsapp, featuring image generation likened to a free GPT version. Users report multiple browser issues with ChatGPT, including persistent captchas when using VPNs and plugin malfunctions. Debates cover prompt engineering, API usage, and data formats like JSON, YAML, and Markdown. Discussions also touch on ChatGPT's personality tuning and model capability variations. "Meta AI includes an image generation feature, which he likened to a free version of GPT."
1/1/2024: How to start with Open Source AI
gpt-4-turbo dall-e-3 chatgpt openai microsoft perplexity-ai prompt-engineering ai-reasoning custom-gpt performance python knowledge-integration swyx
OpenAI Discord discussions revealed mixed sentiments about Bing's AI versus ChatGPT and Perplexity AI, and debated Microsoft Copilot's integration with Office 365. Users discussed DALL-E 3 access within ChatGPT Plus, ChatGPT's performance issues, and ways to train a GPT model using book content via OpenAI API or custom GPTs. Anticipation for GPT-4 turbo in Microsoft Copilot was noted alongside conversations on AI reasoning, prompt engineering, and overcoming Custom GPT glitches. Advice for AI beginners included starting with Python and using YAML or Markdown for knowledge integration. The future of AI with multiple specialized GPTs and Microsoft Copilot's role was also explored.
12/21/2023: The State of AI (according to LangChain)
mixtral gpt-4 chatgpt bard dall-e langchain openai perplexity-ai microsoft poe model-consistency model-behavior response-quality chatgpt-usage-limitations error-handling user-experience model-comparison hallucination-detection prompt-engineering creative-ai
LangChain launched their first report based on LangSmith stats revealing top charts for mindshare. On OpenAI's Discord, users raised issues about the Mixtral model, noting inconsistencies and comparing it to Poe's Mixtral. There were reports of declining output quality and unpredictable behavior in GPT-4 and ChatGPT, with discussions on differences between Playground GPT-4 and ChatGPT GPT-4. Users also reported anomalous behavior in Bing and Bard AI models, including hallucinations and strange assertions. Various user concerns included message limits on GPT-4, response completion errors, chat lags, voice setting inaccessibility, password reset failures, 2FA issues, and subscription restrictions. Techniques for guiding GPT-4 outputs and creative uses with DALL-E were also discussed. Users highlighted financial constraints affecting subscriptions and queries about earning with ChatGPT and token costs.
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.
12/12/2023: Towards LangChain 0.1
mixtral-8x7b phi-2 gpt-3 chatgpt gpt-4 langchain mistral-ai anthropic openai microsoft mixture-of-experts information-leakage prompt-engineering oauth2 logo-generation education-ai gaming-ai api-access model-maintainability scalability
The Langchain rearchitecture has been completed, splitting the repo for better maintainability and scalability, while remaining backwards compatible. Mistral launched a new Discord community, and Anthropic is rumored to be raising another $3 billion. On the OpenAI Discord, discussions covered information leakage in AI training, mixture of experts (MoE) models like mixtral 8x7b, advanced prompt engineering techniques, and issues with ChatGPT performance and API access. Users also explored AI applications in logo generation, education, and gaming, and shared solutions for Oauth2 authentication problems. A new small language model named Phi-2 was mentioned from Microsoft.
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.