Month: July 2023

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CoinDesk Podcast Network - MARKETS DAILY: Crypto Update | Bitcoin Retakes $30K and Competing Jobs Report Narratives

Today's Bureau of Labor Statistics release marks the last national employment report before the Federal Reserve's late July interest rate policy meeting.

Today's Stories:

U.S. Added 209K Jobs in June, Missing Expectations for 230K

Top Binance Execs Leave Company Over CZ's Handling of DOJ Investigation: Report

Binance CEO 'CZ' Brushes Off News of Top Executive Departures

Markets Links:

BRN00 | Brent Crude Oil Continuous Contract Overview | MarketWatch 

CME FedWatch Tool

This episode was hosted by George Kaloudis. “Markets Daily” is executive produced by Jared Schwartz and produced and edited by Eleanor Pahl. All original music by Doc Blust and Colin Mealey.

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The Government Huddle with Brian Chidester - The One with the DoD Deputy CIO

Lily Zeleke, the Deputy Chief Information Officer for the Information Enterprise at the Department of Defense joins the show to discuss her strategy as she has looked to modernize the DoD. We also talk about how he previous roles have prepared her for her current position at the Department and we dig into some of her main initiatives such as network optimization, cloud adoption, software modernization, and IT reform,

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Stuff They Don't Want You To Know - Weird Finance, with Paco De Leon

Let's face it: finance can be weird. The stock market is confusing, money as a concept is bizarre, and a lot of people feel awkward just thinking about anything dollar-related. Why is that? In today's interview, Ben and Matt sit down with author, podcaster and financial expert Paco de Leon to explore their work with Weird Finance, the Hell Yeah Group, and some of the conspiratorial concepts surrounding money. 

They don't want you to read our book.: https://static.macmillan.com/static/fib/stuff-you-should-read/

See omnystudio.com/listener for privacy information.

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Focus on Africa - The Russian schools ready to teach Swahili

On World Swahili Day, we take at a look at how far the east African language has travelled and hear from people teaching it from Moscow to Bogotá.

Also in the pod: Since the covid 19 pandemic, there’s been growing interest in fruit bats. Our Global Health Correspondent Naomi Grimley has been given special access to a scientific research project in Ghana which aims to monitor them.

Also, we give you some more details on Threads, Meta's answer to twitting.

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CBS News Roundup - 07/07/2023 | World News Round Up

A heartbreaking example of gun violence in America: an interpreter for U-S troops in Afghanistan gunned down driving a Lyft in Washington, DC. Record global heat for a 4th day. Alzheimer's game changer. CBS News Correspondent Deborah Rodriguez has today's World News Roundup.

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Reset with Sasha-Ann Simons - Mayor Johnson Replaces Nearly Entire Chicago Board Of Ed

Mayor Brandon Johnson shook things up Wednesday when he replaced nearly the entire Chicago Board of Education with new appointees. The seven-seat board that was once largely filled with consultants, bankers and lawyers will now be dominated by educators and education activists. Reset gets the rundown on what this means for Chicago schools.
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Code Story: Insights from Startup Tech Leaders - Beyond Bots – Naré Vardanyan, Ntropy

Today we are kicking off a special and new series entailed Beyond Bots: the REAL impact of AI on financial services, brought to you by our friends at Ntropy. As a reminder, Ntropy is the most accurate financial data standardization and enrichment API. They can take in any data source, any geography, and understand / enrich a financial transition in milliseconds. Made for developers, for fast, easy implementation. Check out their product at Ntropy.com.

Guest: Naré Vardanyan, CEO & Co-founder of Ntropy

Questions:

  • Tell me what a large language model is. Is there any difference between this and deep learning models?
  • What is the difference between language models and LLM's?
  • What sort of data sets were your models pre-trained on? How long does that take?
  • How does the cost of training these models factor into your offering?
  • Can you talk about latency as a key factor in this process?
  • You've told me Ntropy has been doing this since the beginning, but give me a little more - how does this fit into Ntropy's approach?
  • What is in the future for Ntropy in this space, specifically as it relates to LLM's and financial services?

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