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…for “spicy autocomplete” and “reasoning and retrieval with in context learning”, there’s a lot of untapped potential for simulative AI in exploring the latent space of multiverses adjacent to ours. GANs Many research scientists credit the…
…There is skepticism about the occurrence of grokking in this context, as it involves a neural network initially overfitting and then suddenly generalizing well after many epochs. It's noted that intentionally overfitting a well-performing…
…Post • Latent Space Benchmarks 101 Gradient AI epsiode on Long Context EvalsAllen AI long context novel evalsCompanies and OrganizationsAnthropicCohereEleutherAIINRIAICLR (International Conference on Learning Representations) PeopleAidan…
…on it and it scored 60%. It has near perfect recall on 32k context (context image from reddit) GitHub - NousResearch/Obsidian: Maybe the new state of the art vision model? we'll see 🤷♂️ ▷ #ask-about-llms (10 messages🔥): Conversion to…
…ending, with abstractions moving upward into skills, tools, and context quality rather than Python wrappers. Multi-agent and agent-optimization work is getting more concrete: CMU/LTI’s MACU and @kohjingyu’s thread argue that computer-use…
…swyx edited. We are working on antihallucination, NER, and context addition pipelines. Here is a summary of the key topics and themes from the provided tweets, with relevant tweets organized under each category: Technical Deep Dives Yann…
…How? Rolling Out AI Internally: Skills, CLIs, and Company Context Kyle [00:07:09]: I think when we started rolling out AI internally beyond engineering, right? One of the things that I was really, passionate about is like we have to do this…
…Colab: no description foundPrompting | How-to guides: Prompt engineering is a technique used in natural language processing (NLP) to improve the performance of the language model by providing them with more context and information about the…
…3 Opus, best of 4 runs. We are working on clustering and flow engineering with Haiku. OpenAI Releases GPT-4o, a Multimodal Model with Voice and Vision Capabilities GPT-4o Capabilities: @sama introduced GPT-4o, OpenAI's new model which can…
…it will think before answering regardless. o1 requires denser context and is more sensitive to clutter and unnecessary tokens. Traditional prompting approaches often involve redundancy in giving instructions, which we found negatively…
…of these releases, nor coding ability, nor the 1-2m long context, as Sundar Pichai demonstrates: Of particular note is the cost effectiveness of the new "Flash Lite", as well as the very slight price hike that Gemini 2.0 Flash has vs 1.5…
AI Engineering is expanding! Join the first 🇬🇧 AI Engineer London meetup in Sept and get in touch for sponsoring the second 🗽 AI Engineer Summit in NYC this Dec! The commoditization of intelligence takes on a few dimensions: • Time to…
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A conversation with Greg Brockman about OpenAI’s path to AGI, alongside our analysis of GPT-5, Codex, and the shift to agentic coding.
Thariq Shihipar on Claude Code’s next era: prompts, harnesses, plugins, and agents—and what it takes to keep pace with the frontier.
Marc Andreessen on the future of the browser, Pi and OpenClaw, and why this wave of AI feels different.
Priscilla Chan and Mark Zuckerberg on Biohub’s plans for frontier AI and virtual biology, and the ambition to cure or prevent disease.
Anima Anandkumar on modeling the physical world, from weather to fusion reactors, and why physics needs more than language models.
John Platt on automating science, tackling climate change, and how the next generation can contribute in the age of AI.
Anthropic brings interactive apps into Claude with an open MCP standard for richer AI interfaces.
What Sam Altman’s town hall reveals about building startups in the age of AI.
Moonshot’s multimodal model brings competitive coding, native image and video understanding, and parallel agents.
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