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841 Google doesn't pay the Nvidia tax. Its new TPUs explain why.

VentureBeat
VentureBeat · 04/22/2026 13:04 EDT

Every frontier AI lab right now is rationing two things: electricity and compute. Most of them buy their compute for model training from the same supplier, at the steep gross margins that have turned Nvidia into one of the most valuable companies in the world. Google does not.On Tuesday night, inside a private gathering at F1 Plaza in Las Vegas, Google previewed its eighth-generation Tensor Processing Units. The pitch: two custom silicon designs shipping later this year, each purpose-built for a different h

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Vasily_Sizov (ВбБ) @ Habr · today 05:28 EDT

Graph Rag Đž «ГаррО ĐŸĐŸŃ‚Ń‚Đ”Ń€Â»

Đ’ŃĐ”ĐŒ проĐČДт! ĐœĐ”ĐœŃ Đ·ĐŸĐČут ĐĄĐžĐ·ĐŸĐČ Đ’Đ°ŃĐžĐ»ĐžĐč Đž я Ń€Đ°Đ±ĐŸŃ‚Đ°ŃŽ Đ»ĐžĐŽĐ”Ń€ĐŸĐŒ ĐșластДра "ML CRM Đž ML ĐșĐ»ĐžĐ”ĐœŃ‚ŃĐșĐžĐč ĐŸĐżŃ‹Ń‚" ĐČ Đ’ĐąĐ‘. Мы с ĐœĐ”ŃĐșĐŸĐ»ŃŒĐșĐžĐŒĐž ĐșĐŸĐŒĐ°ĐœĐŽĐ°ĐŒĐž разрабатыĐČĐ°Đ”ĐŒ ĐșаĐș ĐșлассОчДсĐșОД ĐŒĐŸĐŽĐ”Đ»Đž, таĐș Đž ĐżĐŸĐ»ĐœĐŸŃ†Đ”ĐœĐœŃ‹Đ” сДрĐČосы с LLM.Đ­Ń‚ĐŸ ĐžŃŃ‚ĐŸŃ€ĐžŃ ĐŸĐŽĐœĐŸĐłĐŸ пДт-ĐżŃ€ĐŸĐ”Đșта ĐœĐ° ĐČŃ‹Ń…ĐŸĐŽĐœŃ‹Đ”, ĐșĐŸŃ‚ĐŸŃ€Ń‹Đč ĐČŃ‹Ń€ĐŸŃ ĐČ ĐœĐ”Đ±ĐŸĐ»ŃŒŃˆĐŸĐč фрДĐčĐŒĐČĐŸŃ€Đș. ĐŻ рассĐșажу, ĐșаĐș ĐżĐŸĐŽĐœŃŃ‚ŃŒ ĐČĐ”ŃŃŒ ML-стДĐș ĐŽĐ»Ń RAG ĐŸĐŽĐœĐŸĐč ĐșĐŸĐŒĐ°ĐœĐŽĐŸĐč, ĐșаĐș Ń€Đ°Đ·Ń€Đ”Đ·Đ°Ń‚ŃŒ ĐșĐœĐžĐłŃƒ ĐœĐ° праĐČĐžĐ»ŃŒĐœŃ‹Đ” Ń‡Đ°ĐœĐșĐž, ĐșаĐș ĐČĐŸĐŸĐ±Ń‰Đ” ŃƒŃŃ‚Ń€ĐŸĐ”Đœ Graph RAG (ĐœĐ° ĐżŃ€ĐžĐŒĐ”Ń€Đ” Microsoft GraphRAG), ĐżĐŸŃ‡Đ”ĐŒŃƒ я... Read more â€ș

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Habr
rockapi @ Habr · today 05:28 EDT

УтДчĐșа GPT-5.6 Pro: ĐšĐ»ĐŸĐœ «The Sims» ĐŸĐŽĐœĐžĐŒ ĐżŃ€ĐŸĐŒĐżŃ‚ĐŸĐŒ за 48 ĐŒĐžĐœŃƒŃ‚ Đž рДĐČĐŸĐ»ŃŽŃ†ĐžŃ ĐČ ĐłĐ”ĐœĐ”Ń€Đ°Ń†ĐžĐž 3D

ĐŸĐŸĐșа ĐžĐœĐŽŃƒŃŃ‚Ń€ĐžŃ жЎала ĐżĐ»Đ°ĐœĐŸĐČĐŸĐłĐŸ рДлОза, OpenAI, ĐżĐŸŃ…ĐŸĐ¶Đ”, ĐČтохую Đ·Đ°ĐżŃƒŃŃ‚ĐžĐ»Đ° A/B-Ń‚Đ”ŃŃ‚ĐžŃ€ĐŸĐČĐ°ĐœĐžĐ” GPT-5.6 Pro ĐŽĐ»Ń часто ĐżĐŸĐ»ŃŒĐ·ĐŸĐČатДлДĐč. НоĐșаĐșох Đ°ĐœĐŸĐœŃĐŸĐČ, Ń‚ĐŸĐ»ŃŒĐșĐŸ ĐČĐœĐ”Đ·Đ°ĐżĐœĐŸ ĐČĐŸĐ·Ń€ĐŸŃŃˆĐ”Đ” ĐČŃ€Đ”ĐŒŃ ĐłĐ”ĐœĐ”Ń€Đ°Ń†ĐžĐž (ĐŽĐŸ 20-40 ĐŒĐžĐœŃƒŃ‚) Đž Ń€Đ”Đ·ŃƒĐ»ŃŒŃ‚Đ°Ń‚Ń‹, ĐșĐŸŃ‚ĐŸŃ€Ń‹Đ” застаĐČĐ»ŃŃŽŃ‚ ĐżĐ”Ń€Đ”ĐŸŃĐŒŃ‹ŃĐ»ĐžŃ‚ŃŒ ĐČĐŸĐ·ĐŒĐŸĐ¶ĐœĐŸŃŃ‚Đž LLM. КаĐș ĐœĐ°ŃŃ‡Đ”Ń‚ ĐżĐŸĐ»ĐœĐŸŃŃ‚ŃŒŃŽ Ń„ŃƒĐœĐșŃ†ĐžĐŸĐœĐ°Đ»ŃŒĐœĐŸĐłĐŸ ŃĐžĐŒŃƒĐ»ŃŃ‚ĐŸŃ€Đ° Đ¶ĐžĐ·ĐœĐž ŃĐŸ ŃĐ»ĐŸĐ¶ĐœŃ‹ĐŒ стДĐčт-ĐŒĐ”ĐœĐ”ĐŽĐ¶ĐŒĐ”ĐœŃ‚ĐŸĐŒ, NPC Đž ŃĐžŃŃ‚Đ”ĐŒĐŸĐč ĐżŃ€ĐŸŃ„Đ”ŃŃĐžĐč, ŃĐłĐ”ĐœĐ”Ń€ĐžŃ€ĐŸĐČĐ°ĐœĐœĐŸĐłĐŸ ĐČ ĐŸĐŽĐœĐŸĐŒ HTML-фаĐčлД бДз ĐžŃĐżĐŸĐ»ŃŒĐ·ĐŸĐČĐ°ĐœĐžŃ IDE Đž ŃŃ‚ĐŸŃ€ĐŸĐœĐœĐžŃ… фрДĐčĐŒĐČĐŸŃ€ĐșĐŸĐČ? ĐĄĐżĐŸĐčлДр: ĐŒĐŸĐŽĐ”Đ»ŃŒ Ń‚Đ”ĐżĐ”Ń€ŃŒ ĐżĐŸĐœĐžĐŒĐ°Đ”Ń‚ ĐœĐ” Ń‚ĐŸĐ»ŃŒĐșĐŸ ĐșĐŸĐŽ, ĐœĐŸ Đž. Read more â€ș

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AI coding agents are rapidly accelerating data engineering by generating transformations, pipelines, orchestration workflows, validation tests, and infrastructure configurations from prompts. However, enterprise data platforms have long operated across fragmented systems owned by different teams and built on different technologies. As these systems evolve independently, organizations increasingly struggle with inconsistent business logic, duplicated implementations, difficult downstream impact analysis, and Read more â€ș

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Organizational leaders are nearly twice as likely to hide their AI use compared to all other employees, at 42% versus 23%, according to new Ivanti research surveying 3,900 employees across six countries. Among leaders who conceal that usage, 52% say they do it for a "secret advantage." The same research found 85% of IT professionals claim a named owner exists for every AI agent. Only 42% say ownership is actually... Read more â€ș

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VentureBeat 3 place · 06/15/2026 15:30 EDT

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Microsoft CEO Satya Nadella published a sweeping essay on Sunday laying out what he describes as the defining economic challenge of the AI era: the risk that a handful of frontier models will absorb the expertise of entire industries and commoditize it, leaving businesses stripped of their competitive moats."The last thing any of us want is a world where every company across every sector is ceding value to a few... Read more â€ș

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One of the assumptions behind today’s AI frameworks is that agents require a “boss” at the center; this orchestrator runs the show, routes requests, and makes sure the whole system doesn’t descend into chaos. That assumption may be wrong, and the cost of carrying it could be measured in inference dollars and coordination latency. A new Stanford framework called a decentralized language model, or DeLM, is built on the premise... Read more â€ș

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VentureBeat 3 place · 06/16/2026 17:26 EDT

Today, Chinese AI startup Z.ai (formerly Zhipu AI) announced the immediate release of GLM-5.2, a 753-billion parameter open-weights large language model (LLM) engineered specifically to dominate "long-horizon" autonomous coding and engineering tasks. Available immediately on Hugging Face, the Z.ai API, and more than 20 third-party coding environments, the model boasts a highly stable 1-million-token context window alongside enterprise subscription tiers starting at just $12.60 per month. In excellent news f Read more â€ș

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VentureBeat 3 place · 06/16/2026 20:32 EDT

On Sunday, a team of nine researchers at Sina Weibo — the Chinese social media giant better known for its microblogging platform than for cutting-edge artificial intelligence — quietly posted a 14-page technical report to arXiv that sent shockwaves through the AI research community. Their claim: a language model with just 3 billion parameters can match or exceed the reasoning performance of flagship systems from Google DeepMind, OpenAI, Anthropic, and... Read more â€ș

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VentureBeat · 06/17/2026 15:00 EDT

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