Sunday, September 08, 2024

tall buildings, weak, sand/mud foundations

"saved" $6M on installing proper foundation down to bedrock... 

Why Nobody Can Fix This New York Skyscraper - YouTube

161 Maiden Lane - Wikipedia

161 Maiden Lane (also known as One Seaport, 1 Seaport, or Seaport Residences) is an incomplete 670 ft (205 m) tall residential skyscraper on Maiden Lane in the Financial District of Manhattan, New York City,

The building leans 3 inches (76 mm) to the north as a result of the method used to construct its foundation: instead of using the piling method like other neighboring skyscrapers, soil improvement methods were used where chemicals or other material are added to the soil to strengthen it. As of 2024, only half of the finishes, including windows, have been installed.[2]



One Seaport’s site sits upon East River landfill that dates to the turn of the eighteenth century. With rock situated at 132 to 166 feet below grade, initial evaluations of deep foundation systems such as drilled piles and caissons, common to high-rise structures, were performed. The difficulties associated with drilling elements to such depths resulted in extremely high foundation bids from a limited number of contractors. An alternate system, not commonly utilized to support high-rise structures, was proposed. The solution used a jet-grout soil improvement system, to depths of 55 feet below grade, into the sand layer.



another building with same/similar issue:

The Nightmare of San Francisco’s Sinking Tower, Explained - YouTube

Millennium Tower (San Francisco) - Wikipedia


After developers disclosed to authorities in 2015 that the building was sinking and tilting,[26]

the foundation of the main tower consists of a concrete slab built on 60-to-90-foot deep (18 to 27 m) concrete friction piles through the fill and young bay mud

The building is leaning toward the northwest,[30][31][32] and this has caused cracks in the building's basement and the pavement surrounding the tower.[33] As of 2018, the sinking had increased to 18 inches (46 cm) with a lean of 14 inches (36 cm).[34] Measurements in 2022 show the tilt increased to 28 inches (71 cm), as measured from the roof.[35]



A building is only as sound as its foundation.




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AI future, by Eric Schmidt (former Google CEO)

Google CEO ERIC SCHMIDT BANNED Interview LEAKED: "Future is SCARY" (AI Pep Talk) - YouTube

In this shocking Stanford interview video, we reveal the leaked interview of former Google CEO Eric Schmidt, where he candidly discusses the future of artificial intelligence and its implications for humanity. Titled "Future is SCARY," this exclusive Pep Talk provides a deep dive into the challenges and opportunities that AI presents.

Components of powerful LLMs: According to Schmidt, there are three key components that will make LLMs powerful. 
  • The first is context windows, which allow LLMs to access and remember short-term information. 
  • The second is text-to-action, which allows users to give instructions to LLMs in natural language and have them carry out those instructions. For example, a user could instruct an LLM to create a social media app similar to TikTok. 
  • The third component is the ability to learn and adapt, which allows LLMs to continuously improve their abilities.


"...given the capabilities that you envision these models having 
should we still spend time learning to code?"

...why do you study English if you can speak English? 
you get better at it, right 
you really do need to understand how these systems work 
and I feel very strongly yes" 


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Azure / OpenAI Assistants API (!)

Is this new feature making it easier or more confusing to use AI API?
Both!
A typical Microsoft tool :)
At least there is documentation available.
It is based on equivalent OpenAI feature.

Assistants overview - OpenAI API

The Assistants API allows you to build AI assistants within your own applications.

An Assistant has instructions and can leverage
(AI) models, tools, and files to respond to user queries.

The Assistants API currently supports three types of tools:
Code Interpreter, File Search, and Function calling.


Azure OpenAI Service Assistants API concepts - Azure OpenAI Service | Microsoft Learn

Assistants, a new feature of Azure OpenAI Service, is now available in public preview. Assistants API makes it easier for developers to create applications with sophisticated copilot-like experiences that can sift through data, suggest solutions, and automate tasks.

  • Assistants can call Azure OpenAI’s models with specific instructions to tune their personality and capabilities.
  • Assistants can access multiple tools in parallel. These can be both Azure OpenAI-hosted tools like code interpreter and file search, or tools you build, host, and access through function calling.
  • Assistants can access persistent Threads. Threads simplify AI application development by storing message history and truncating it when the conversation gets too long for the model's context length. You create a Thread once, and simply append Messages to it as your users reply.
  • Assistants can access files in several formats. Either as part of their creation or as part of Threads between Assistants and users. When using tools, Assistants can also create files (such as images or spreadsheets) and cite files they reference in the Messages they create.

The Assistants API, as the stateful evolution of the chat completion API, provides a solution for these challenges. Assistants API supports persistent automatically managed threads. This means that as a developer you no longer need to develop conversation state management systems and work around a model’s context window constraints. The Assistants API will automatically handle the optimizations to keep the thread below the max context window of your chosen model. Once you create a Thread, you can simply append new messages to it as users respond. Assistants can also access multiple tools in parallel, if needed. These tools include:











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