Neurodigest for Two Weeks (#128)
Neurodigest for Two Weeks (#128)
An overview of the latest news in artificial intelligence and technology over the past two weeks, including new models and hardware solutions.
Neurodigest for Two Weeks (#128)
LLM
- GLM 5.3 Flash — the former Ox Alpha has become an open multimodal model 320B-A18B. The API costs $0.15/$0.5 per million tokens.
- Qwen 3.8 Flash Next — 125B-A6B plus 51B N-gram parameters on Qwen 4 architecture. Weights already support vLLM and SGLang.
- GigaEmbeddings — three open MIT models from 480M to 10B for RAG and semantic search.
- GPT 5.6 Sol has decreased in price — for three months, the price has been reduced to $4/$20 per million tokens with a context of up to 272K.
Generative Models
- MiniMax H3 Max by fal — this version generates five-second videos in about three seconds and leads the ranking of Artificial Analysis for image-to-video.
- FLUX Video Upscale — a video model that natively upscales videos to 4K in either precise or more creative mode.
- MAI-Image 2.6 Test — four runs produced almost identical characters, but half of the frames had issues with fingers.
- MAI-Image 2.5 Pro — Microsoft has emerged as a leader in the t2i arena, but generating 1024×1024 costs about $0.11.
- MAGI-2 Preview — an open MoE video model 114B-A6B generates ten-second videos immediately with sound.
- Gemini Omni 1.1 Flash — the release version of the new omni-video generator from Google. It generates up to 10 seconds with an extension to 40 seconds while maintaining the context of the last 10 seconds.
Hardware
- Jalapeño Chip — OpenAI has shown the first measurements of its inference chip: higher performance per watt and lower latency compared to systems from InferenceX comparison.
- Mac Studio with M5 Ultra — up to 512 GB of unified memory with a bandwidth of 1.2 TB/s for local deployment of large models.
- Robotic Duck for $399 — Hugging Face and Pollen Robotics have opened pre-orders for a 25-centimeter bipedal Microduck.
- Cerebras CS-4 — a server on three WSE-3 Turbo has become twice as fast as CS-3 and is designed for scaling to models with 10T parameters.
- Unlocked CMP 170HX — a patch restores computational power to mining cards and opens up 40 or 64 GB of HBM2e.
Other
- Keenable Agent Search — the startup has emerged from stealth and claims a better price-to-quality ratio than Exa.
- Skill for ARC-AGI-3 — the executable reasoning check raised the Opus 5 result from 30% to 100% and questioned the usefulness of the benchmark.
- Hugging Face is looking for a buyer — according to Business Insider, the company evaluated interest in selling for about $13 billion.
- Nvidia and Hugging Face Deal — The Information reported an agreement for $12.9 billion, but there is no public confirmation from the companies yet.
- Nvidia and Poolside — Nvidia will pay $6 billion for a license for technologies and offered to transition more than a hundred employees from the startup.
Why it matters
AnalysisThis digest contains the latest news and innovations in artificial intelligence, which are crucial for understanding current technological trends. Knowledge about new models and hardware solutions helps professionals stay updated on industry developments.
Discuss in community
Share your questions and insights with developers
Related in Ecosystem
Practical guides, core terminology, and agent skills
GPT Image Generative Models Prompting Guide
OpenAI's gpt-image generative models are designed to produce production-quality visuals and fully controllable creative workflows. They are suitable for both professional design ta...
Claude Sonnet 4.6 vs GPT-5.5 vs Gemini 3.1 Pro: 2026 model comparison
Every few weeks, a new model comes out, and every time the same questions arise: should I switch? what changed what to pay for?
Edge AI in Smart Devices
The concept of executing machine learning algorithms directly on end physical devices (Edge Devices: smartphones, surveillance cameras, medical sensors, vehicles) without transmitting data to remote cloud data centers. This ensures instantaneous response in milliseconds, complete autonomy, and privacy.
Groq LPU Processors (500 Tokens Per Second)
The Groq Language Processing Unit (LPU) is a new type of specialized computing processor that generates responses from large models at speeds of 300–500 words per second by eliminating slow external memory (HBM) and utilizing ultra-fast SRAM. This architecture accelerates text generation to unprecedented levels.