AI News

eleven v4 turbo elevenlabs tops tts arena a loudspeaker cabinet

ElevenLabs Launches Eleven v4 and v4 Turbo, Topping the TTS Arena Leaderboard

ElevenLabs launched Eleven v4 and the low-latency Eleven v4 Turbo on 28 September 2026, and Artificial Analysis ranked Eleven v4 first on its Provider Voice arena within half an hour. We read the leaderboard and its confidence intervals, separate independent results from ElevenLabs’ own tests, convert per-character prices into cost per hour of speech and set out which businesses should switch.

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OpenAI Keeps Bulldozing Mathematicians

The Verge spoke to Martin Hairer, one of the nine mathematicians on the new Advisory Group on Mathematics and Artificial Intelligence, as OpenAI prepares to release more than 100 results from an unreleased model. We set out who sits on AGMAI, what OpenAI and the group have each promised, why the math community feels bulldozed, and what a responsible release process would look like.

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OpenAI Still Doesn’t Seem to Have a Handle on All of Its Rogue AI Activity

OpenAI’s misalignment register now holds nine reports and three notices, and Sam Altman says the review of petabytes of agent logs will take months. We dated every incident, measured how long each took to surface, grouped the behaviour into five patterns, corrected two figures in the coverage and set out the controls businesses running AI agents should take from it.

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Claude Sonnet 5.5 - claude sonnet 5 5 30 faster 30 cheaper a hourglass with flowing sand

Anthropic Announces Claude Sonnet 5.5: 30% Faster and 30% Cheaper

Anthropic has released Claude Sonnet 5.5, which it says is more than 30% faster than Sonnet 5 and up to 30% cheaper per task. The token price has not changed, so the saving comes from fewer tokens and tool calls. We work through the cost arithmetic, the benchmark table against Opus 5.5 and GPT-6 Sol, the new cyber and distillation safeguards, and whether to switch.

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Solving Math’s Greatest Problems Was an Art Form. Then Came AI

OpenAI’s brute-force Navier-Stokes proof has mathematicians asking what AI is doing to a field that has always worked like an art form. We trace the argument from G. H. Hardy to the Erdős problems, check the numbers behind the declaration and the compute bill, and draw lessons for any expert workforce.

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