ToolClaude Code2 recent entries17 Apr 2026[AINews] Anthropic Claude Opus 4.7 - literally one step better than 4.6 in every dimensionThis article from Latent Space discusses Anthropic's Claude Opus 4.7 release, highlighting incremental improvements across multiple performance dimensions compared to the previous 4.6 version. The pie→14 May 2026[AINews] Codex Rises, Claude Meters Programmatic UsageThis AINews roundup from Latent Space likely covers updates on OpenAI's Codex model gaining prominence in code generation applications, alongside news about Anthropic's Claude implementing usage meter
ToolVercel AI5 recent entries8 Apr 2026[AINews] Meta Superintelligence Labs announces Muse Spark, first frontier model on their completely new stackMuse Spark is the first model from Meta's Superintelligence Labs division and the debut entry in the new Muse model family, representing a 'ground-up overhaul' of the company's AI efforts. It is ...→22 Apr 2026Shopify’s AI Phase Transition: 2026 Usage Explosion, Unlimited Opus-4.6 Token Budget, Tangle, Tangent, SimGym — with Mikhail Parakhin, Shopify CTOShopify's CTO Mikhail Parakhin discusses the company's transition into an AI-centric phase, highlighting anticipated AI usage explosion in 2026, the adoption of unlimited Claude Opus-4.6 token budgets→23 Apr 2026[AINews] Tasteful TokenmaxxingThis episode of AINews from Latent Space likely discusses strategies for optimizing token usage and efficiency in AI models, focusing on practical approaches to maximizing computational value while ma→24 Apr 2026[AINews] GPT 5.5 and OpenAI Codex SuperappThis article from Latent Space covers news about OpenAI's GPT 5.5 model and the development of an OpenAI Codex Superapp, likely discussing capabilities, features, and implications of these AI tools. T→3 Jul 2026Vercel's Andrew Qu on why agents are a new kind of softwareAndrew Qu from Vercel discusses how AI agents represent a fundamentally different category of software compared to traditional applications, exploring their unique characteristics and implications for
ToolHugging Face2 recent entries20 Apr 2026🔬 Training Transformers to solve 95% failure rate of Cancer Trials — Ron Alfa & Daniel Bear, NoetikNoetik uses transformer neural networks and machine learning to improve cancer drug trial success rates, addressing the historically high failure rate (95%) in clinical development. The approach lever→25 Apr 2026[AINews] DeepSeek V4 Pro (1.6T-A49B) and Flash (284B-A13B), Base and Instruct — runnable on Huawei Ascend chipsDeepSeek released V4 Pro (1.6T-A49B) and Flash (284B-A13B) models in both base and instruct variants, with optimizations enabling them to run on Huawei Ascend chips. These releases represent updates t