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Summary: DeepSeek V4.1 Flash in 30 Seconds DeepSeek-V4.1-Flash shipped on September 10, 2026. License is MIT, weights are on Hugging Face. 552B backbone parameters, but only 8B active while reading input and 16B while generating output. That asymmetry is the whole point of the model. New architecture: Causal Encoder-Decoder (CED). 40 layers, 20 causal encoder plus 20 decoder. The decoder’s global KV cache is projected from the encoder’s final hidden states instead of from each decoder layer’s own. Result: a global KV cache of 890 bytes per token. One quarter of V4-Flash, and 1/437 of DeepSeek-V1. Natively multimodal: images go through DeepSeek-ViT, a vision encoder trained from scratch, from the very start of language-model pre-training. Pre-training corpus is 45T tokens. Beats Claude Opus 5 on several agentic benchmarks: 90.6 vs 89.1 on Terminal-Bench 2.1, 74.2 vs 74.0 on DeepSWE v1.1, 54.8 vs 50.3 on AutomationBench. Reasoning effort is a continuous 1-100 dial, not an on/off thinking toggle. API pricing is $0.15 in / $0.60 out per million tokens off-peak, double that at peak. Roughly one twentieth of Claude Opus 5’s output price. DeepSeek is retiring V4 Pro: from September 14, 2026, deepseek-v4-pro requests get routed to V4.1 Flash and billed at Flash rates. Everyone in the open-weight race this year is chasing the same two numbers: active parameters and KV cache. The first decides what each token costs, the second decides how much memory a long context eats. GLM-5.3-Flash answered with hybrid attention, Qwen3.8-Flash-Next with 6B active parameters. ...

Apple announced the iPhone Duo at its “Surprise and shine” event on September 9, 2026. The company’s first foldable iPhone measures 7.6 inches open and 5.4 inches closed, and it starts at $1,999. That much is on every tech site today. The more interesting part is this: Apple squeezed the whole thing into 5.2 mm when open, and to get there it gave up Face ID, the SIM tray and the single-piece battery. This piece is less about the price list and more about how those trades were made. ...

Meta shipped Muse Spark 1.3 on September 2, 2026: a closed multimodal reasoning model built for long-running agentic workflows, multi-agent setups and coding. Two numbers made the headlines. It scores 75.4 on DeepSWE v1.1, edging past Claude Opus 5, and it hits 98.1% retrieval across a full million tokens of context. Both are real. Both come with a footnote, and the footnotes are what this post is about. What Is Muse Spark 1.3? 🧠 Muse Spark is Meta Superintelligence Labs’ closed flagship series. Version 1.3 succeeds 1.2, and the pitch is not producing one good answer but carrying a long task all the way to the end. ...

Two models, one price tag: $10 per million input tokens, $50 per million output tokens. GPT-6 Astra shipped on September 3, Claude Fable 5.1 on September 1. Identical sticker prices, so the comparison looks simple. It is not. The sticker is the same, the bill is not. Run the same work through both and what you pay can double or halve depending on the shape of your workload. This post starts with where that gap comes from, then walks the benchmark table, and finishes with three concrete billing scenarios. ...

Summary Below are 11 ready-made prompts. Copy one, paste it into ChatGPT or Gemini together with your photo, that is the whole method. Every prompt is written to work on solo, couple and group photos. However many people are in the frame, all of them get converted. Nothing else to change. Each prompt comes with a sample output made with that exact prompt, so you can see what you are getting before you spend a generation. If the faces do not look like you, do not rewrite the prompt. Run the same request again. The second attempt usually lands. Open any feed this week and it is the same picture: permed hair, shoulder pads, an orange-tinted studio backdrop. The whole trend comes down to one thing, the prompt. No app to install, no subscription to buy. ...