IBM announced Granite Speech updates for transcription, translation and speaker attribution.
Different models address speech-language tasks, fast transcription and identifying who spoke when.
Audio workflows need more than a readable transcript.
Compare a short public recording against a manually checked transcript.
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Sign in to join the conversationOpen-source Bark can generate speech, music, laughter, and sound effects from a single text prompt. The source says it supports 13 languages and more than 100 voice presets, but it may alter wording or add unexpected sounds. Bark generates audio clips of about 13–14 seconds and is released under the MIT license. The source reports about 12 GB of GPU memory for the full models, with smaller variants available for lower-memory use.
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A study finds that AI models can detect some misbehavior in agent logs, but higher detection rates also mean more warnings about harmless actions. The results suggest auditors may be more useful for estimating how often problems occur than for safety checks that must catch every incident. Andy Hall evaluated several models on logs from METR’s MALT dataset. At a 5 percent false-alarm rate, GPT-5 caught nearly 98 percent of 47 reward-hacking cases, while Gemini 3.8 Flash found about half. Auditors caught 71 to 81 percent of sandbagging cases, most of which were synthetic.
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In Vals AI’s simulated tests, Deepseek V4.1 Flash 1017 came close to a leading closed model in some scenarios. The findings highlight the importance of long test runs and lower costs, but do not establish performance on real networks. In the Vals CyberOffense benchmark, agents pursued objectives in simulated corporate networks without human help. GPT-6 Sol Daybreak averaged 15.7/21 objectives in Nova and reached 27/31 in Lighthouse; Deepseek V4.1 Flash 1017 scored 16.3/21 and 21/31. Vals reports approximate run costs of $22 and $3, respectively.
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