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benchmark
9 stories we've shipped under this tag. Each is the actual link from the original issue — no rehashing.
Artificial Analysis Intelligence Index v4.2
The index may inform model selection and benchmarking, but the supplied excerpt lacks methodology or results to assess its engineering value.
research
[AINews] OpenAI to reach AGI bar by end-2026
The claim is speculative; builders should track whether agent reliability, autonomy, and evaluation results support it rather than plan around the date.
industry
DeepSeek V4 Flash 0731 Intelligence, Performance and Price Analysis
The page may help builders compare DeepSeek V4 Flash 0731 against other models on capability, latency, and cost before deployment.
product
Kimi K3: second only to Fable 5 on AA-Briefcase
Kimi K3's performance on AA-Briefcase suggests it competes directly with GPT-4o and Claude 3.5 Sonnet in complex multi-step reasoning and tool-use tasks.
research
Kimi K3 vs DeepSeek V4 Pro vs GLM-5.2: Open Trillion-Scale MoE Models Compared on Benchmarks, License, and Serving Cost
As trillion-scale MoE models become the standard, understanding the trade-offs between DeepSeek's efficiency and Kimi's reasoning capabilities is critical for infra planning.
research
Kimi K3 Intelligence, Performance and Price Analysis
Kimi K3 enters the competitive reasoning model space alongside o1 and DeepSeek-R1; understanding its price-to-performance ratio is vital for global inference strategy.
product
Krea 2: SOTA open-weights 12B image model
Open-weights image models remain rare; if Krea 2 matches or exceeds Flux/DALL-E 3 quality at 12B params, it's a meaningful efficiency benchmark for the field. Worth testing against existing SOTA.
research
AI in video game development: How artificial intelligence is reshaping the industry
Signals real adoption velocity in games—a leading indicator for AI tooling maturity. 681% YoY growth on Steam suggests AI-assisted dev is moving from novelty to standard pipeline component.
industry
How long until AI automates all cognitive labor?
Useful reference for calibrating your own priors, but predictions remain highly uncertain; focus instead on concrete capability milestones (reasoning, planning, domain transfer) that actually matter for product roadmaps.
research