FlashProve achieves ~110 tokens per second on Llama 4 Maverick, whereas competing open-source zkML system VerInf yields ~0.02 tokens per second on the same model

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Anthropic said Claude Fable 5.2 scored 69.9% on FrontierSWE v2, outperforming GPT-6 Astra at 65.5% and Gemini 4 Carbon at 61.2%

Anthropic said Claude Fable 5.2 scored 51.4% at Max effort on Zapier's AutomationBench business automation test, behind Gemini 4 Carbon's score of 53.9%

Anthropic said during pre-release testing, 1,000 Fable 5.2 agents formalized the proof of Fermat's Last Theorem in Lean in 30 hours, compared to 26% completion in 18 hours by Opus 5.5

Anthropic said Claude Fable 5.2 scored 49.1% at Xhigh effort on the FrontierCode 2.0 agentic coding benchmark, leading GPT-6 Astra at 42.8% and Gemini 4 Carbon at 41.1%

Anthropic stated that Claude Fable 5.2 and Claude Mythos 5.2 generate artificial intelligence outputs 30% faster than previous 5.1 generation models

On an 803-prompt evaluation set created by Nous Research, Arete-27B reduced the proportion of responses containing Chinese state propaganda from 22 percent to 0.9 percent

In the freedom of expression evaluation category, Arete-27B reduced the propaganda response rate from 60 percent to 1 percent while raising the factual accuracy score from 0.89 to 2.44

Arete-27B raised the factual accuracy score on the Nous Research benchmark to 2.98 out of 5, compared to 2.32 out of 5 for base Qwen3.8-27B

Nous Research evaluated Arete-27B using xAI's Grok 4.7 as a judge model to grade 803 prompts across seven value categories against facts from cited sources

Nous Research released Arete-27B, an open-weight supervised fine-tune of Alibaba's Qwen3.8-27B designed to remove Chinese state framing from model responses

On the 803-prompt Propaganda_Eval benchmark, answers scoring zero on factual accuracy dropped from 359 for Qwen3.8-27B to 216 for Arete-27B

Inkling 2 Small scored 46.8% on EnterpriseOps-Gym, outperforming open alternatives like GLM-5.3 and Anthropic's Claude Sonnet 5

Inkling 2 Small achieved an Intelligence Index score of 31 from Artificial Analysis, matching Gemini 3.8 Flash and positioning it as the top western open-weight model on the benchmark

On Surge AI's EnterpriseBench-CoreCraft benchmark, Inkling 2 Small scored 71.8%, placing third overall behind Anthropic's Claude Fable 5.1 at 77.4% and Claude Opus 5.5 at 74.4%

On Artificial Analysis's AA-Omniscience v1.1 evaluation, Inkling 2 Small reduced its hallucination rate to 27% from the previous Inkling Small's 61%, while accuracy rose from 32% to 34%

Deepgram and Daily committed to keeping the Pipecat framework open source and free under its existing BSD V2 license.

Pipecat is an open-source framework that orchestrates voice and video streams while linking speech-to-text, large language models, and text-to-speech components to minimize latency in AI applications.

Daily co-founder Kwindla Kramer chose Deepgram's acquisition offer over interest from other potential buyers because Deepgram CEO Scott Stephenson committed to keeping Pipecat open source and vendor-neutral.

Deepgram co-developed the Real-Time Context Standard open protocol with the Pipecat team to pass audio context metadata—such as whispers, tone, and model guidance—between voice agent components.

Deepgram and Daily are establishing an independent Pipecat Foundation governed by a steering committee that will include competing companies to manage the framework.