Is the era of complex, high-maintenance CDC replication pipelines drawing to a close? By shifting from network-bound data movements to a shared-storage contract (Apache Iceberg) handled directly via an embedded vectorized processing engine. https://t.co/u2SDywUe2c
I just created a playbook to help you learn AI engineering.
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Last year, we integrated into the @GeminiApp by allowing you to upload your notebooks as sources. Now, we’re taking our relationship to the next level 🏠 ♥️
Starting today, you can now:
— Access all of your personal, unshared notebooks directly inside the Gemini App
— Use your chats with Gemini as sources in new or existing unshared notebooks
We're rolling out notebooks in Gemini today, starting with Google AI Ultra, Pro, and Plus subscribers on the web. In the coming weeks, we'll expand access to mobile, more countries across Europe, and to free users.
I am not firm believer of doing certifications or courses what we need to learn is to how to apply the solutions by exploring various options. Nowadays with AI Agents doing bulk of the search/research work it is upto us to channelise the utilise the curated details.
175 (80) in the U19 WC final, 15 fours and 15 sixes with 85.7% of his runs in boundaries. That’s absurd. This is a follow up to his 68(33) in the semis chasing a 300+ target. Vaibhav has owned the big stage like he's born for it. A prodigy with serious big match temperament.
Overall Tournament numbers: Leader run getter with 439 runs at 62.71, SR 169.49. A T20 Strike rate of 170 is elite. 30 sixes overall and 78.35% of his runs in boundaries.
This kid is knocking on the doors of international cricket hard & fast. Post the T20 World Cup, don’t be surprised if that door opens.
SimCity: Multi-Agent Urban Development Simulation with Rich Interactions
https://t.co/Ix1R1f2kYh
Yeqi Feng, Yucheng Lu, Hongyu Su, Tianxing He
(Tsinghua University, Shanghai Qi Zhi Institute, New York University)
Large Language Models (LLMs) open new possibilities for constructing realistic and interpretable macroeconomic simulations. We present SimCity, a multi-agent framework that leverages LLMs to model an interpretable macroeconomic system with heterogeneous agents and rich interactions. Unlike classical equilibrium models that limit heterogeneity for tractability, or traditional agent-based models (ABMs) that rely on hand-crafted decision rules, SimCity enables flexible, adaptive behavior with transparent natural-language reasoning. Within SimCity, four core agent types (households, firms, a central bank, and a government) deliberate and participate in a frictional labor market, a heterogeneous goods market, and a financial market. Furthermore, a Vision-Language Model (VLM) determines the geographic placement of new firms and renders a mapped virtual city, allowing us to study both macroeconomic regularities and urban expansion dynamics within a unified environment. To evaluate the framework, we compile a checklist of canonical macroeconomic phenomena, including price elasticity of demand, Engel's Law, Okun's Law, the Phillips Curve, and the Beveridge Curve, and show that SimCity naturally reproduces these empirical patterns while remaining robust across simulation runs.
@SBICard_Connect Thank you for not helping to update Addon card mobile number and email id.. out of no choice need to close Addon Card.. Pathetic service by SBi card..Good Luck
@SBICard_Connect Hello Please help me cancel my addon card , from the app if I cancel it is not getting registered at all. There is issue with addon card from day 1 when it is issued. Why you are issuing card without doing any of these basic check