Search: “models”

Fugu is now available on OpenCode! ✨ When our team was developing Fugu’s multi-agent orchestration, OpenCode was our tool of choice to verify our models. We share a core philosophy with the OpenCode t

Theo humorously critiques companies in the AI/engineering space for being overly simplistic or lacking substantive complexity, suggesting their business models or products could be reduced to basic ma

Obvious in retrospect, but I didn't really anticipate: Fable: Performing Final Review of <Awesome Feature> Also Fable: I appear to have introduced a critical security vulnerability. <This model's safe

Open source AI models and their underlying code enable organizations and nations to develop artificial intelligence capabilities independently, without reliance on proprietary systems or external vend

It would be good to have an official government statement about the risks they saw in Fable, how they are viewing defensive preparations in light of coming open weights Mythos-class models, & whether

Ethan Mollick posted on X about multitasking while waiting for Fable (likely an AI model or software tool) to complete processing runs. The tweet reflects a casual observation about productivity durin

Nano Banana 2 Lite is an image editing tool or model available through ComfyUI, a node-based interface for AI image generation and manipulation. This resource likely provides a lightweight version of

Muon optimizer shows faster training speeds compared to traditional optimizers, but analysis reveals it sacrifices the simplicity bias that older optimizers maintain, potentially impacting model gener

Ethan Mollick discusses a fundamental factor driving AI Labs' business model and the rapid pace of AI transformation. The post likely explores how a core principle or technological capability underpin

This guide demonstrates how to build a voice agent using Vercel's AI Gateway, enabling real-time voice interactions with AI models. It covers the technical setup and implementation steps needed to cre

Devin Fusion is a technology developed by Cognition AI that combines multiple AI capabilities or models to enhance functionality. The blog post provides technical details, implementation examples, and

I took the new AA-Briefcase scores from @ArtificialAnlys (basically having the AI do multi-week consulting gigs with a lot of complexity) and graphed the frontier curve for open and closed models: 1)

Britain didn't industrialize first by forcing its companies to use more expensive coal. Why would we force American companies to use more expensive intelligence? AI is rapidly becoming a foundational

MASSIVE NEWS has partnered with NVIDIA to advance local AI deployment as a default option, addressing the shift toward on-device and edge AI processing rather than cloud-dependent models. This collabo

Nice example of the increasing benefits of open science and transparent methodologies when writing papers about AI. A big problem with research studies on AI models is that given how long the peer rev

The Top AI Papers of the Week (June 21 - June 28) - Autodata - Sakana Fugu - Agent-as-a-Router - Agent-Native Memory - A Pinch of Human Data - Critique of the Agent Model - Agent Communication Protoco

A thing I am noticing is the number of folks who believe AI is “real” is larger, but now there is a growing division between people who know that we are on an exponential & those whose mental model is

If you want to read an interesting AI thinking trace, try 'I want you to suggest two poems that you think apply very well to the current state of GenAI models like you. Don’t just pick popular poems a

Sam Altman announced that OpenAI's inference speed will reach 750 tokens per second on GPUs with 5.6 TFLOPS in July. This represents a significant increase in throughput capability for OpenAI's models

something has definitely shifted in the past few weeks. seeing a huge uptick in large enterprises wanting to secure compute and post-train their own models in house, frequently on top of GLM-5.2. ever

LangSmith enables tracing and monitoring of AI SDK 7 operations, allowing developers to observe and debug their AI applications built with the SDK. This tool provides visibility into model interaction

We’re getting together with @Zai_org for a FIFA World Cup watch party ⚽️ USA vs. the world on a big screen, food and drinks on us, and a fireside chat on open-weight models and where agentic coding is

This post compares the cost efficiency of Fireworks' GLM-5.2 model versus Anthropic's Opus across cached sessions, showing GLM-5.2 achieving approximately 4x lower cost per session at 90% cache hit ra

Chart of increasing revenue, pre the decline of token-maxxing, not looking at the immense costs/lack of profitability, not considering threats from open-source models, price-war dynamics etc. @noahopi

'Choose Your Own' likely refers to a framework or methodology from Nous Research for customizable AI decision-making or model selection processes. Without access to the specific post content, this ent

I think this means you can collect ~10k hours just from open source datasets, which means basically anyone should be able to build a decent robot foundation model: 500 from the new BitRobot dataset 50

AI is quickly moving beyond emulating the human mind to predicting an increasingly large percentage of all observations in the world. General world models will become a new foundational infrastructure

Yohei Nakajima proposes that sports organizations should make their data openly accessible through Model Context Protocol (MCP) to enable broader public creation of visualizations and data analyses. T

COMPANY BUILT ON IP THEFT RAGES AGAINST THEFT OF ITS OWN IP ANTHROPIC ACCUSED ALIBABA OF UNAUTHORIZED ACCESS TO ITS AI MODELS, OUTLINING ITS ALLEGATIONS IN LETTERS SENT TO U.S. SENATORS AND THE WHITE

Ethan Mollick shares a positive experience about how GitHub Copilot's Codex model has significantly improved his productivity by helping solve problems across multiple Windows machines, describing it

Clem Delangue discusses a resurgence of interest in decentralized intelligence systems and approaches, suggesting a shift away from centralized AI models toward more distributed architectures. The pos

.@cartesia runs one of the hardest inference workloads: real-time voice. Their stack has to keep long-lived streams moving, serve millions of audio minutes a day, and hold model latency around 90ms. T

Cursor has introduced a leaderboard feature that displays the most popular plugins, skills, and Model Context Protocols (MCPs) being used across a team, allowing users to easily add any of these tools

The Drivetrain Approach is a framework for building effective data products, developed by Jeremy Howard and published by O'Reilly Media, that focuses on defining business objectives, identifying lever

Sakana AI's Fugu is a technical report describing an AI model or system, likely focusing on neural architecture design or evolutionary computation methods given Sakana AI's research focus. The report

This post likely argues that modern AI systems are shifting focus from modeling human cognition and reasoning to instead learning from and operating within the complexities of the real world and physi

you need docs built for agents Docs are the eyes and ears of Agents. But we're moving so fast that they are always outdated. So hence an outdated doc also confuses the models. But it's also hard keep

Deep Agents v0.6 feature spotlight: a code interpreter. Agents can now call tools from inside a runtime, keep intermediate results out of model context, and only pass the relevant output back. Fewer r

This post appears to announce or celebrate the discovery or successful implementation of Ollama, a tool for running large language models locally. Based on the enthusiastic tone and source, it likely

LLMs can’t be trusted to follow rules. Which means they can’t be trusted, period. If we are going to solve alignment we must move on. Large language models can be persuaded to break their own rules. N

New piece in @TheAtlantic! We always hear that AI will cure cancer, and I would immediately benefit if it did. But I argue that racing ahead on generalist AI models creates unclear benefits for cancer

Satya Nadella says the public wouldn't tolerate a few AI labs 'doing all of the learning for the world', as Microsoft moves to provide low-cost models and tools (Wall Street Journal) (Visit Techmeme d

Use Case 2: Financial Time Series Prediction Can an AI agent navigate sequential, no-look-ahead market decisions? Just for fun, we tested Fugu Ultra on 50 weeks of historical data for an anonymized eq

We've kept hearing how GLM-5.2 beats Opus 4.8, and are skeptical of benchmarks - so we tested them on a real bug from the Cline repo. While both models fixed the issue, GLM was the winner in terms of

The Top AI Papers of the Week (June 14 - June 21): - PreAct - SpatialClaw - Back on Track - OpenClaw-Skill - From Trainee to Trainer - Compositional Skill Routing - Can LLM Agents Infer World Models?

Gary Marcus argues that language models are not genuinely intelligent despite their sophisticated outputs, and that they operate fundamentally differently from human cognition. This critique likely ch