Is Anthropic About to Release Claude 3.7?

OpenAI is undertaking a dual-pronged upgrade because it seeks to boost AI interoperability and refine its flagship models. In a big strategic move, CEO Sam Altman announced that OpenAI is integrating Anthropic’s Model Context Protocol (MCP) across its ecosystem, including the ChatGPT desktop app and Responses API. MCP—now featuring OAuth 2.1-based authorization, streamable HTTP transport, and JSON-RPC batching—bridges AI models with external business tools, ensuring cleaner, safer two-way data flows.

At the identical time, OpenAI has updated GPT-4o to spice up instruction-following and coding capabilities while reducing extraneous emoji use.

Nonetheless, a viral surge in Studio Ghibli-style image generation has overwhelmed the system, delaying free-tier access as paying users max out capability, with Altman remarking, “our GPUs are melting.” These upgrades come as OpenAI projects revenue of $12.7 billion this 12 months, a stark leap from last 12 months’s $3.7 billion, with eyes set on $29.4 billion next 12 months. Read more.

Anthropic appears poised to release Claude 3.7 Sonnet with a large 500K token context window, a leap from its current 200K limit. Feature flags hint at an imminent rollout, potentially offering enterprise users the flexibility to process vast datasets and full-scale codebases without fragmenting sessions. This upgrade could reduce reliance on retrieval-augmented generation (RAG), mitigating context distortion in long-form analyses.

Early signs of the update have surfaced in Cursor’s IDE, where a “Claude 3.7 Sonnet MAX” option recently appeared. If broadly implemented, this expansion could redefine AI-assisted coding, legal evaluation, and research workflows. It also aligns with the rise of “vibe coding,” a trend popularized by Andrej Karpathy, where AI-driven code generation eliminates the necessity for manual programming. Details on general availability remain unclear. Read more.

Groq and PlayAI have partnered to launch Dialog, a next-generation text-to-speech (TTS) model engineered for hyper-realistic, low-latency voice AI. Running on Groq’s high-speed inference platform, Dialog claims to outperform competitors in each responsiveness and natural speech patterns, because of its adaptive speech contextualizer (ASC)—a system that maintains conversational flow, adjusting tone and prosody dynamically.

Benchmark tests show Dialog outperforming ElevenLabs, with as much as 140 characters generated per second—nearly 10 times faster than real-time. The model debuts with Arabic-language support, positioning Groq to capture a key global market. This comes as the corporate secures a $1.5 billion Saudi investment to expand AI infrastructure, including a brand new data center in Dammam. Read more.