1/ Jev, a decision model by @typesafeai, sparked a burst of projects and discussion. We tested it using Ori Eval against popular LLMs on OpenRouter at judging.
Jev was >5x faster than the next fastest model, and even its slowest requests beat every other model's median.
ساده ترین راه ساخت این ویدیو ها اینه که Higgsfield رو به Chat GPT متصل کنین، ویدیو اصلی رو آپلود کنین. تغییرات مد نظرتون رو بهش بگین.
باقی رو خودش انجام میده 💀
اصلا میدونی JEV که انقدر سر و صدا کرده و روی Vercel هم رایگان قابل دسترسه چی هست؟
خود JEV قرار نیست باهات چت کنه؛ بیشتر شبیه یه فیلتر باهوشه که سریع میفهمه چی مهمه و چی نه.
بعد فقط چیزای مهم رو میفرسته برای یک مدل مثل GPT یا ... که روشون وقت بذارن.
Jev was adopted faster than any other model in AI Gateway history.
In the first day, @typesafeai reached ~13% of teams, 2x the GPT-5.6 family and 6x Fable 5.1.
🚨 Fable 5.2 Leak: Beats GPT-6 Astra
>New Fable 5.2, Opus 5.2 & Sonnet 5.2 versions reportedly being stealth tested (unconfirmed)
>Tests reportedly appearing across different Claude surfaces and accounts
>Anthropic may be bringing back a full lineup launch
>Anthropic's IPO has been confirmed delayed to >November, later than the expected October target
>That doesn't mean the models are delayed until November
>But the IPO timing could still influence when a launch actually happens
Do you think Fable 5.2 will beat Astra?
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🚨 Claude Fable 5.5 Leaks: Astra Killer
> Anthropic reportedly has a major new model coming.
> Fable 5.5 could launch in late September or early October
> First fresh pretraining run for the Fable class
> Anthropic reportedly believes it can dethrone GPT-Astra
> Early insiders say Astra is impressive, but not enough to worry about
> Expected to bring a significant jump in capability
> Timing lines up with Anthropic’s upcoming IPO
Could Fable 5.5 actually beat Astra?
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.
The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.
The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
We benchmarked DeepSeek V4.1 Flash by @deepseek_ai .
It reached 98% of GPT-6 Astra’s score at 1.4% of the cost on everyday design tasks based on user requests.
Every model except Astra scored lower AND cost more.
Are open models overtaking closed ones?
Full results below ↘️