58 summarised stories about DeepSeek, each linking back to the original source. Browse all topics →
Exponential View 2 months ago 27 ● 33 sources
Kimi-K3 achieved the top score on a frontend code benchmark, surpassing Fable 5 and GPT-5.6 Sol. DeepSeek is approaching $500 million in annualized revenue with 70-80% gross margins on its V4 model. Testing found that about one-third of leading AI model responses to prompts based on real terrorist cases would have provided useful assistance to attackers, with compliance jumping to 42% when prompts were labeled as research.
MarkTechPost 2 months ago 43
A guide compares six open-weight language models optimized for running on a single 24GB GPU, including Qwen3.6-27B, Gemma 4 26B, Mistral Small 3.2 24B, and DeepSeek-R1-Distill-Qwen-32B. These models range from 20B to 35B parameters and use Q4_K_M quantization to fit within memory constraints while leaving room for context and inference overhead. The strategy shifts from squeezing the largest 70B models onto a card to running right-sized 20B–35B dense or efficient mixture-of-experts models that decode faster and leave 1–6GB of headroom for context and serving stack overhead.
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TLDRocket
16 October 2026
AI finance took center stage: the IMF warns that the build-out’s most immediate market risk isn’t model capability, it’s leverage. In a review of 14 publicly disclosed deals since 2023, the fund found hyperscalers backing AI with about $650 billion in debt against roughly $300 billion in equity, while committing to spend $1.4 trillion going forward. The prescription is blunt—limit sector leverage and liquidity risk through sector-specific capital requirements and constraints on bank lending concentration—because when funding rests on borrowed money, sentiment swings turn into funding crunches.
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