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Showing 1-5 of 5Results matching "DeepSeek-R1"

Today

1 story

2 hours ago

Arizona Study Finds Repeated Falsehoods Can Sway AI Models in Long Chats

The controlled seven-model experiment found large gaps in resistance and self-correction, while showing that factual reliability can change as a conversation continues. A chatbot may reject a false claim at first, then accept it after the claim is repeated through a long exchange. Under repeated engagement, misinformation-affirmation rates ranged from 0.08% to 12.3%.

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Yesterday

1 story

Partnership Infrastructure

Yesterday

Figure Signs $3.5B Nscale Deal for Up to 100,000 GPUs for Humanoid AI

The partnership gives Figure a path to far larger training capacity, but its first Texas deployment is still targeted for the second half of 2027. Figure has signed a partnership with Nscale to deploy up to 100,000 GPUs on NVIDIA ’s Vera Rubin platform for training Helix, its AI model for general robotics and humanoid robots. The Nscale agreement is intended to supply the compute side of that equation.

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Last week

2 stories

Benchmark Infrastructure

Aug 25, 2026

OpenAI’s Jalapeño Claims Up to 1.9x Efficiency Gain, but Leaves Nvidia Training Intact

The Broadcom co-developed inference processor is headed for deployment by year-end. Its published gains are meaningful, but they exclude model training and Nvidia’s Vera Rubin platform. OpenAI says Jalapeño, its custom chip co-developed with Broadcom, delivered up to 1.9 times higher throughput per kilowatt and 1.7 to 3.6 times lower end-to-end latency than Nvidia GB200 and GB300 systems in published tests.

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Benchmark Infrastructure

Aug 25, 2026

OpenAI’s Jalapeño Claims 1.5–1.9x More AI Work Per Watt, Faces 2027 Scale Test

The custom chip gives OpenAI an early efficiency claim against available Nvidia systems, but production qualification, broader workloads and a small initial rollout will determine whether it becomes a meaningful serving platform. The company presented Jalapeño’s first benchmark results at Hot Chips, framing the chip as the opening generation of a longer-term silicon platform. Source: openai.com.

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August 2026

1 story

Benchmark Models

Aug 21, 2026

Open Models Are Catching the Frontier Faster. Benchmark Scores Aren’t the Whole Contest.

SemiAnalysis sees the lag from closed-model breakthroughs to open-model benchmark parity shrinking across three AI eras. But a comparable model score still leaves a harder product question: who can turn capability into dependable agent work? In the reasoning and agentic eras, open AI models reached closed-model benchmark parity in months, according to SemiAnalysis ’s cross-era analysis.

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