Vercel

2026-10-22

CODING · 1 SOURCE · InfoQ AI, ML & Data Engineering

Vercel Labs open-sources fx — a Zig-written embeddable coding agent (v0.0.13)

Vercel Labs has released fx as open source: an experimental coding agent and CLI written in Zig, packaged as a small native binary and designed to be scripted or embedded via libfx (including a WebAssembly build) rather than run as a persistent terminal UI. fx is model-agnostic with multiple provider endpoints listed (Vercel AI Gateway, ChatGPT/OpenAI, Grok, Ollama, OpenRouter), is still pre-1.0 and evolving quickly — release 0.0.13 added an Ultrafast mode and noted checkpoint compatibility caveats.

6.0

2026-10-16

MODELS · 1 SOURCE · TechCrunch AI

Typesafe’s Jev becomes fastest-adopted model on Vercel gateway

Vercel data shows that Jev, a lightweight decision model from Typesafe AI released in limited form on Sept. 15, was used by 35% of paid teams within two weeks—nearly double the reach of the next model, Sonnet 5.5. Vercel, which used Jev to replace GPT-6 Luna for some harmful-command classification, cautions its gateway data may undercount providers that run their own APIs; the report also notes open-source models now account for over 70% of tokens on Vercel and about 25% of spend while frontier-lab spending has grown tenfold.

6.0

2026-10-01

STARTUPS · 1 SOURCE · TechCrunch AI

Photon raises $4.5M seed to advance messaging-based AI agents

Photon, a startup that helps developers build AI agents for messaging channels like iMessage and WhatsApp, raised $4.5 million in a seed round co-led by Gradient and A*. The company says it has 40,000+ developer sign-ups, 10x revenue growth in four months, an open-source core that accounts for most usage, and a hosted, SOC 2/HIPAA-compliant platform with integrations across Vercel, LangChain and others.

6.0

2026-10-01

MODELS · 1 SOURCE · InfoQ AI, ML & Data Engineering

TypeSafe AI launches Jev, a decision-only model returning typed probabilities

TypeSafe AI released Jev, the first of its "System One" models: a decision-only model that returns typed, probabilistic answers (Choice, Score, Noul) instead of natural language, evaluating multiple typed questions in parallel and emitting probability distributions with confidence values. Jev has a 32,000-token context window, quoted input cost of $0.042 per million tokens (output free), end-to-end latency of 70–500 ms, uses a training method called Reinforcement Learning for Calibrated Decisions, and saw rapid early integrations from Vercel, Netlify and LangChain.

8.0

2026-09-29

COMPANIES · 1 SOURCE · TechCrunch AI

OpenAI turns ChatGPT into an app-discovery and usage surface with plugins, extensions, Sign in with ChatGPT and Dots agents

At its Dev Day, OpenAI expanded ChatGPT’s plugin architecture to support interactive extensions, introduced "Sign in with ChatGPT" allowing users to carry AI allowances into third-party apps (with 16 launch partners named), rolled out an enterprise OpenAI Marketplace with 30+ partners, and unveiled autonomous agents called Dots that can use connected apps and run tasks in their own cloud environments. The changes make ChatGPT a discovery, launch and usage surface for apps while improving plugin review and developer workflow.

8.0

2026-09-18

MODELS · 2 SOURCES · The Decoder · TechCrunch AI

TypeSafe AI unveils Jev, a model that scores predefined options instead of generating text

Startup TypeSafe AI, co-founded by ex-OpenAI researcher Diogo Almeida, introduced Jev, a model designed to return narrow labels and probabilities (judgments) for developer-defined questions rather than free-form text. TypeSafe says Jev responds in 70–500 ms and is very cheap (listed at $0.042 per million input tokens), but its published benchmarks are limited, comparisons use the company's own workflows, and the model's "no hallucination" claim only applies to output structure, not correctness within allowed choices.

7.0

2026-09-16

MODELS · 1 SOURCE · xAI

SpaceXAI launches Grok 4.5, a model optimized for coding and agentic tasks

SpaceXAI says it has released Grok 4.5, its newest model trained alongside Cursor and optimized for coding, agentic workflows, and knowledge work. The company reports training across tens of thousands of NVIDIA GB300 GPUs, claims roughly 2× token efficiency versus leading models, 80 TPS serving speed, and priced the model at $2 per million input tokens and $6 per million output tokens; Grok 4.5 is available in Grok Build, Cursor, and via the SpaceXAI console with limited free usage offered.

8.0