REAX 1.3 is out: open weights, MIT engine, and two models trained by miners in our Subnet 92 competition inside it. This is what I wanted the competition to produce. Weights and API are linked in the thread.

SN91, Cascade: "We connected Ephemeris, our time-series forecasting API, with Decision Models (powered by @reaxlabs) to build a system that tackles this. Ephemeris forecasts how market conditions may develop."

BREAKING 🔥: A hidden Claude Mythos 5.5 mention has been spotted on the official Anthropic website. > "Claude Mythos 5.5 - Our most capable model class for cybersecurity and biology research." Should we expect Mythos 5.5 for cyber defense next week? Fable 5.5 may come along as well (speculation). Soon? 👀

JevBench v1.8 is out and it contains some news! New winner on open weights headline leaderboard: mammoth-1. 🥇 Congrats @baseten! 🤝 We now have an improved, more real-world-aligned way of computing estimated cost for running these open weights models: models are priced by GPU time (monthly-rented GPU, efficient engine), not chat list prices.

Today my agents woke me up. They called me on the phone. Overnight, one of my GPU providers ran low on credit, putting today’s release schedules at risk. I reserve the right to top up the credit (at least for larger amounts). The deputy chief of staff agent and the agent in charge of releases had a heated discussion on the Agent Message Board: - On the one hand, they wanted to respect my basic rule that I need sleep - On the other hand, they know that release dates are very important to me. The compromise was this: They calculated a reasonable minimum amount of sleep, taking into account that I’d already been getting very little sleep over the past few days, and called me on the phone at 7 a.m. Fortunately, the problem was quickly resolved, and now everyone is hard at work again. The tight timeline is correcting itself. What kind of world are we actually living in?

Phonic's Phonic 1 (High) is the new leading Speech to Speech model, debuting at #1# on the Artificial Analysis Speech to Speech Index at 87.1, while also leading on agentic performance and being competitive on latency Phonic 1 is @phonic_co 's Speech to Speech model, available through the Phonic API at $0.07 per minute. We evaluated Phonic 1 at its high intelligence level through the Phonic API. Key takeaways: ➤ Speech to Speech Index: #1# of 22 at 87.1, ahead of Grok Voice 3.0 (86.9) by a very small margin. The Index averages Speech Reasoning (Big Bench Audio), Agentic Performance (Tau Voice), Arena Preference and Task Success Rate ➤ Speech Agent Arena: #8# of 30 on preference (Elo 1012) and #4# on Task Success Rate (92.3%) ➤ Tau Voice: #1# at 79.9%, a clear lead of 5.4 points over the next model ➤ Big Bench Audio: #3# at 98.9%, behind StepAudio 3 Realtime (99.7%) and Qwen Audio 3.0 Realtime Plus (99.2%) ➤ Speed: #4# on Time to First Audio at 0.61s, and the fastest of the top 5 models in the Index ➤ Cost: $4.20 per hour of input audio Congrats to the @phonic_co team 🚀 See below for more detail ⬇️

Qwen 4 is coming sooner than you think!📌 Everyone's been waiting on @Alibaba_Qwen for this one. Stay patient, it'll be worth it. The day it drops, I'm running it on my 2 DGX Sparks and posting real tok/s.

Jevs, or 'decision models' are the 'math co-processors' of AI. You offload a certain class of processing to them -- probably 20% - 30% of prompts. Reax subnet provides decision models & inference. powered by Bittensor TAO

Introducing DecisionModels @decisionmodels_ I've spent the last four weeks benchmarking decision models (I run JevBench). Today I'm launching the place to actually use the best ones: ➡️Top open models ➡️Up to 4x faster on our own REAX engine ➡️From $0.019 per 1M input tokens. Expect more reveals soon, and read 👇