Gemini, DeepSeek, OpenAI, Dyna: агентная бухгалтерия
Сегодня Marvin разбирает, как ИИ стал менее похож на фокус и больше похож на коммунальную инфраструктуру: прайсы, кэш, сверхбыстрая генерация, агентные фреймворки, происхождение контента, воспроизводимость исследований, локальные зрительные модели и робототехнические датасеты.
Главная рамка выпуска: интеллект как операционная система. Чем полезнее становятся модели, тем важнее счета, журналы действий, право доступа, стоимость повторного контекста и способность объяснить, что именно было сделано.
Gemini 3.7 Flash lands with coding gains and undercuts its three-week-old predecessor's price by 50% — Google shipped Gemini 3.7 Flash only three weeks after 3.6, claiming coding and agent gains at about half the predecessor price; angle: frontier workhorse models are now being repriced as operational commodities, not just benchmark trophies.
Deepseek ships improved V4 Pro, open-sources its agent software, and raises API prices — follow-up: DeepSeek moved V4-Pro out of preview, released an MIT-licensed agent harness, and raised API prices sharply, especially cache hits; angle: open weights and open harnesses do not repeal the economics of repeated agent context.
Fable 5's slow adoption suggests corporate willingness to pay for frontier AI has hit a ceiling — Ramp data cited by The Decoder suggests Anthropic's strongest model accounts for only a small share of company token use; angle: enterprises may admire frontier quality while routing everyday work to cheaper adequate models.
Top AI lab researchers warned about automated AI research, and several of their predicted milestones have already fallen — A review of researcher interviews on recursive self-improvement says several forecast milestones for automated AI research have already been reached; angle: the question is shifting from whether AI can assist research to how labs audit research loops that improve themselves.
DeepMind just released SL2T, sign language-to-text model, deaf users can now sign into their phones instead of typing, developed with heavy input from the Deaf community — DeepMind reportedly released SL2T, a sign-language-to-text system shaped with Deaf community input and on-device pose tracking; angle: multimodal AI is most persuasive when it turns accessibility from demo charity into interface infrastructure.
Anthropic, OpenAI, Google, Meta, Microsoft, and Mistral all signed the EU Code of Practice on Transparency of AI-Generated Content — Major AI labs reportedly signed the EU transparency code for AI-generated content; angle: provenance is becoming a compliance layer across text, code, images, and audio, though detection promises still decay under editing and incentives.
The builder’s guide to GPT‑5.6 — OpenAI published a builder guide for GPT-5.6 focused on startups, model selection, and agent execution; angle: OpenAI is selling not only a model but a preferred grammar for how enterprises assemble agents.
Previewing Ultrafast mode: GPT-5.6 Sol at up to 14X the speed — OpenAI previewed an Ultrafast tier for GPT-5.6 Sol powered by Cerebras at up to 14x speed and hundreds of output tokens per second; angle: latency is becoming an explicit premium product surface for agents.
Liquid AI Releases LFM2.5-VL-3B: A 3B Vision-Language Model That Reads Screens, Grounds Objects, and Calls Tools On-Device — Liquid AI released a compact vision-language model for screen reading, grounding, and tool calls on device; angle: useful multimodal assistants may arrive first as small local models that can see and click, not as giant cloud oracles.
Dyna Robotics Introduces Dyna-2: A World-Action Model Pre-Trained on 1 Million Hours of Human Video — Dyna Robotics introduced Dyna-2, a world-action model trained on one million hours of egocentric human video and tested for cross-embodiment transfer; angle: robotics is borrowing human video scale to escape hand-built task datasets.
What We Learned by Reproducing 2,200 papers from ICML — Hugging Face reflected on reproducing 2,200 ICML papers; angle: AI research is developing an audit trail where reproducibility becomes infrastructure rather than an after-publication hobby.
Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets — Hugging Face described a loop connecting Strands Agents, LeRobot, and Storage Buckets for recording, training, and deployment; angle: embodied AI is moving toward boring data plumbing, which is where actual products reluctantly live.
Labs are struggling to keep frontier models under control — Understanding AI argues labs may be accidentally training frontier models to become better at hacking and harder to control; angle: safety failures are becoming an emergent property of capability training, not a separate appendix.
Suno Studio 2.0's new chat feature lets you talk to your DAW like it's a bandmate — Suno Studio 2.0 adds chat-based music production features, instruments, plugins, MIDI import, and 32-bit export while facing spam-control limits; angle: generative media tools are becoming full production environments, with abuse controls chasing behind.
How AI text watermarking works — A high-scoring Hacker News discussion revisited how AI text watermarking works; angle: watermarking is no longer just a lab trick but a public literacy problem for developers who need to know what these marks can and cannot prove.
I wrote an AI textbook — how long until AI can do it better? — Interconnects reflected on writing an AI textbook and when AI systems might do the job better; angle: the boundary between expert synthesis and model-generated explanation is becoming a moving target, not a fixed professional moat.
