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Company: "stripe"
not much happened today
gemini-2.0-flash imagen-3 mistral-small-3.1 mistral-3 gpt-4o-mini claude-3.5-haiku olm0-32b qwen-2.5 shieldgemma-2 julian fasttransform nvidia google mistral-ai allen-ai anthropic langchainai perplexity-ai kalshi stripe qodoai multimodality image-generation context-windows model-pricing open-source-models image-classification frameworks python-libraries partnerships jeremyphoward karpathy abacaj mervenoyann
At Nvidia GTC Day 1, several AI updates were highlighted: Google's Gemini 2.0 Flash introduces image input/output but is not recommended for text-to-image tasks, with Imagen 3 preferred for that. Mistral AI released Mistral Small 3.1 with 128k token context window and competitive pricing. Allen AI launched OLMo-32B, an open LLM outperforming GPT-4o mini and Qwen 2.5. ShieldGemma 2 was introduced for image safety classification. LangChainAI announced multiple updates including Julian powered by LangGraph and integration with AnthropicAI's MCP. Jeremy Howard released fasttransform, a Python library for data transformations. Perplexity AI partnered with Kalshi for NCAA March Madness predictions.
Perplexity starts Shopping for you
pixtral-large-124b llama-3.1-405b claude-3.6 claude-3.5 stripe perplexity-ai mistral-ai hugging-face cerebras anthropic weights-biases google vllm-project multi-modal image-generation inference context-windows model-performance model-efficiency sdk ai-integration one-click-checkout memory-optimization patrick-collison jeff-weinstein mervenoyann sophiamyang tim-dettmers omarsar0 akhaliq aravsrinivas
Stripe launched their Agent SDK, enabling AI-native shopping experiences like Perplexity Shopping for US Pro members, featuring one-click checkout and free shipping via the Perplexity Merchant Program. Mistral AI released the Pixtral Large 124B multi-modal image model, now on Hugging Face and supported by Le Chat for image generation. Cerebras Systems offers a public inference endpoint for Llama 3.1 405B with a 128k context window and high throughput. Claude 3.6 shows improvements over Claude 3.5 but with subtle hallucinations. The Bi-Mamba 1-bit architecture improves LLM efficiency. The wandb SDK is preinstalled on Google Colab, and Pixtral Large is integrated into AnyChat and supported by vLLM for efficient model usage.
Stripe lets Agents spend money with StripeAgentToolkit
gpt-4o gemini-exp-1114 stripe openai anthropic meta-ai-fair ai-computer-interfaces agentic-ai model-overfitting benchmarks scaling-laws agi chain-of-thought image-captioning dialogue-systems memory-efficient-fine-tuning diffusion-models mixture-of-experts adaptive-decoding creativity-optimization factuality-optimization pair-programming document-parsing retrieval-augmented-generation abacaj francois-fleuret lmarena_ai goodside jxmnop jaseweston stevenheidel
Stripe has pioneered an AI SDK specifically designed for agents that handle payments, integrating with models like gpt-4o to enable financial transactions and token-based charging. The AI developer tooling trend emphasizes better "AI-Computer Interfaces" for improved agent reliability, with tools like E2B and the
llms.txt documentation trend gaining traction, notably adopted by Anthropic. In AI model news, Gemini-Exp-1114 topped the Vision Leaderboard and improved in Math Arena, while discussions continue around model overfitting and the limits of scaling laws for AGI. OpenAI released a ChatGPT desktop app for macOS with integrations for VS Code, Xcode, and Terminal, enhancing developer workflows and pair programming. Anthropic introduced a prompt improver using chain-of-thought reasoning, and Meta AI shared top research from EMNLP2024 on image captioning, dialogue systems, and memory-efficient fine-tuning. Highlights from ICLR 2025 include diffusion-based illumination harmonization, open mixture-of-experts language models, and hyperbolic vision-language models. A new adaptive decoding method optimizes creativity and factuality per token. Tools like LlamaParse and RAGformation were also introduced for document parsing and retrieval-augmented generation. Qdrant's BM42: "Please don't trust us"
claude-3.5-sonnet gemma-2 nano-llava-1.5 qdrant cohere stripe anthropic hugging-face stablequan_ai semantic-search benchmarking dataset-quality model-evaluation model-optimization vision fine-tuning context-windows nils-reimers jeremyphoward hamelhusain rohanpaul_ai
Qdrant attempted to replace BM25 and SPLADE with a new method called "BM42" combining transformer attention and collection-wide statistics for semantic and keyword search, but their evaluation using the Quora dataset was flawed. Nils Reimers from Cohere reran BM42 on better datasets and found it underperformed. Qdrant acknowledged the errors but still ran a suboptimal BM25 implementation. This highlights the importance of dataset choice and evaluation sanity checks in search model claims. Additionally, Stripe faced criticism for AI/ML model failures causing account and payment issues, prompting calls for alternatives. Anthropic revealed that Claude 3.5 Sonnet suppresses some answer parts with backend tags, sparking debate. Gemma 2 model optimizations allow 2x faster fine-tuning with 63% less memory and longer context windows, running up to 34B parameters on consumer GPUs. nanoLLaVA-1.5 was announced as a compact 1B parameter vision model with significant improvements.
... and welcome AI Twitter!
mistral-large google-gemini google openai apple stripe ai-ethics multilinguality on-device-ai convolutional-neural-networks synthetic-data financial-transaction-systems corporate-culture humor margaret-mitchell john-carmack guillaume-lample sundar-pichai delip-rao santiago-l-valdarrama alex-wang yann-lecun pieter-levels francois-chollet dheliat
The AI Twitter discourse from 2/27-28/2024 covers a broad spectrum including ethical considerations highlighted by Margaret Mitchell around Google Gemini's launch, and John Carmack's insights on evolving coding skills in the AI era. Guillaume Lample announced the release of the Mistral Large multilingual model. Discussions also touched on potential leadership changes at Google involving Sundar Pichai, and OpenAI's possible entry into the synthetic data market as noted by Delip Rao. Technological advancements include Yann LeCun's commentary on running LLMs on mobile devices and Alex Wang's praise for the Apple Vision Pro. Financial platform issues were raised by Pieter Levels regarding Stripe's payment policies. The cultural dynamics within big tech were discussed by François Chollet and Dhéliat. The lighter side of AI was represented by memes and humor from Pieter Levels and AISafetyMemes. This summary reflects the fast-evolving AI landscape blending technical innovation, corporate strategy, ethics, and community culture.