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? The Dinarian on Locals brings you the latest in news, interviews, in-depth conversations, and stories from across the blockchain and global communities—within and beyond cryptocurrency ?. Experts delve into how blockchain technology is reshaping industries, enhancing business networks ?, transforming transaction workflows, and advancing distributed ledger systems ??. We also explore intriguing topics that may venture into the realm of conspiracies—and so much more!
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Amazon Taps Cloud Dominance for Edge in AI Arms Race

Technology drives growth, and the pace of change is accelerating.

That’s why, despite no clear regulatory framework, the world’s biggest tech firms aren’t about to stop their breakneck race to win the artificial intelligence era.

In fact, from a bird’s eye view, they look to be only interested in speeding things up.

With initiatives that span from training for large language models (LLMs) for generative AI to the hardware that will power the next wave of computing, blue chip giants like Google, Microsoft and OpenAI, NVIDIA, and IBM have captured headlines while deploying wave after wave of groundbreaking products.

Now, Amazon is seeking to firmly insert itself into the emergent space.

“We’re about three steps into a 10K race,” Amazon Web Services (AWS) CEO Adam Selipsky said about his company’s AI plans earlier this week (June 27) at the 2023 Collision Conference in Toronto.

And while the eCommerce titan doesn’t have its own ChatGPT-style AI product, it wants to provide the tools and infrastructure for enterprise customers to build their own — by leveraging the massive cloud computing capabilities of its AWS platform.

“Customers around the globe are hungry for guidance about how to get started quickly and securely with generative AI,” AWS said in a statement.
Amazon wants to become the Switzerland of generative AI development

As announced last week (June 22), Amazon has gone so far as to set up a new “Generative AI Innovation Center.”

AI model training and development is typically time-consuming as well as worryingly error-prone, as it involves a ton of labor-intensive, tedious human-led tasks and close supervision by data scientists. Separately, once that training is done, novice users often struggle to diagnose problems with the model or determine how exactly to fix it.

That’s why Amazon vowed to invest $100 million into its Generative AI Innovation Center program, which is meant to connect industry experts with AI-curious AWS customers and partners worldwide to “accelerate enterprise innovation and success” with generative AI and machine learning (ML) tools by letting companies pick their own software and models.

But beyond just the know-how, building and running AI models is also quite expensive — and requires a degree of computing power not commonly found in most firm’s back offices.

That’s why Amazon views its cloud capabilities as a competitive advantage and silver bullet in the AI arms race.

Very few firms are able to afford, much less already have, the operational ability paired with the security to execute an effective AI strategy wholly themselves.

With many businesses already storing their data in AWS, the company sees an attractive opportunity to provide a holistic AI-powered data strategy to help enterprise customers shepherd their data into the backend of generative AI LLM products.

As Jeremiah Lotz, managing vice president, digital and data at PSCU, told PYMNTS Monday (June 26), “the only threat of AI is to businesses who aren’t able to leverage the technology themselves.”

Still, both Microsoft and Google also provide their own cloud storage products — and both already boast advanced, proprietary LLMs: Bard and ChatGPT, which have been infused into nearly every product the two tech firms offer.A frothy competitive landscape

As PYMNTS reported, “AI” was mentioned more than 200 times on earlier first quarter earnings calls by Meta, Microsoft, and Google’s parent company Alphabet earlier this year.

But Amazon is facing more than just another form of competition from its perennial ecosystem rivals.

The AI industry as a whole remains under regulatory scrutiny around the globe as lawmakers themselves race to both understand and curb any potential bad behavior or unintended consequences of the innovative technology’s rapid rise and commercialization.

“I think if this technology goes wrong, it can go quite wrong,” Sam Altman, CEO of Open AI, has said.

Until regulation does appear, “Pandora’s box has been opened,” Wasim Khaled, CEO and co-founder of intelligence platform Blackbird.AI, told PYMNTS this Thursday (June 29).

Still, all the uncertainty may make the path AWS is forging an attractive one — providing enterprise customers with the stability of a neutral cloud platform to leverage as an AI testing sandbox, rather than trying their luck out in the wild west of other providers.

https://www.pymnts.com/news/artificial-intelligence/2023/amazon-taps-cloud-dominance-for-edge-in-ai-arms-race/

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September 07, 2025
Utility, Utility, Utility

🚨Robinhood CEO - Vlad Tenev says: “It’s time to move beyond Bitcoin and meme coins into real-world assets!”

For up to date cryptocurrencies available through Robinhood:
https://robinhood.com/us/en/support/articles/coin-availability/

00:00:24
September 06, 2025
3 Companies Control 80% Of U.S. Banking👀

3 companies. 80% of U.S. banking. You need to know their names.

Watch us break it down in the latest Stronghold 101

00:03:58
September 06, 2025
We Have Been Lied To, For Far To Long!

Impossible Ancient Knowledge That DEBUNKS Our History!

Give them a follow:

Jays info:
@TheProjectUnity on X
youtube.com/c/ProjectUnity

Geoffrey Drumms info:
@TheLandOfChem on X
www.youtube.com/@thelandofchem

00:18:36
👉 Coinbase just launched an AI agent for Crypto Trading

Custom AI assistants that print money in your sleep? 🔜

The future of Crypto x AI is about to go crazy.

👉 Here’s what you need to know:

💠 'Based Agent' enables creation of custom AI agents
💠 Users set up personalized agents in < 3 minutes
💠 Equipped w/ crypto wallet and on-chain functions
💠 Capable of completing trades, swaps, and staking
💠 Integrates with Coinbase’s SDK, OpenAI, & Replit

👉 What this means for the future of Crypto:

1. Open Access: Democratized access to advanced trading
2. Automated Txns: Complex trades + streamlined on-chain activity
3. AI Dominance: Est ~80% of crypto 👉txns done by AI agents by 2025

🚨 I personally wouldn't bet against Brian Armstrong and Jesse Pollak.

👉 Coinbase just launched an AI agent for Crypto Trading

Robinhood Brokerage $HOOD just announced they will offer the ability for investors to short sell stocks on the platform.

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Gold is another distraction...
From Silver... 😉

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And now jobs data and more onchain..
-Michael Cahill CEO Pyth Network

https://x.com/mdomcahill/status/1963959800632410157

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The Great Onboarding: US Government Anchors Global Economy into Web3 via Pyth Network

For years, the crypto world speculated that the next major cycle would be driven by institutional adoption, with Wall Street finally legitimizing Bitcoin through vehicles like ETFs. While that prediction has indeed materialized, a recent development signifies a far more profound integration of Web3 into the global economic fabric, moving beyond mere financial products to the very infrastructure of data itself. The U.S. government has taken a monumental step, cementing Web3's role as a foundational layer for modern data distribution. This door, once opened, is poised to remain so indefinitely.

The U.S. Department of Commerce has officially partnered with leading blockchain oracle providers, Pyth Network and Chainlink, to distribute critical official economic data directly on-chain. This initiative marks a historic shift, bringing immutable, transparent, and auditable data from the federal government itself onto decentralized networks. This is not just a technological upgrade; it's a strategic move to enhance data accuracy, transparency, and accessibility for a global audience.

Specifically, Pyth Network has been selected to publish Gross Domestic Product (GDP) data, starting with quarterly releases going back five years, with plans to expand to a broader range of economic datasets. Chainlink, the other key partner, will provide data feeds from the Bureau of Economic Analysis (BEA), including Real Gross Domestic Product (GDP) and the Personal Consumption Expenditures (PCE) Price Index. This crucial economic information will be made available across a multitude of blockchain networks, including major ecosystems like Ethereum, Avalanche, Base, Bitcoin, Solana, Tron, Stellar, Arbitrum One, Polygon PoS, and Optimism.

This development is closer to science fiction than traditional finance. The same oracle network, Pyth, that secures data for over 350 decentralized applications (dApps) across more than 50 blockchains, processing over $2.5 trillion in total trading volume through its oracles, is now the system of record for the United States' core economic indicators. Pyth's extensive infrastructure, spanning over 107 blockchains and supporting more than 600 applications, positions it as a trusted source for on-chain data. This is not about speculative assets; it's about leveraging proven, robust technology for critical public services.

The significance of this collaboration cannot be overstated. By bringing official statistics on-chain, the U.S. government is embracing cryptographic verifiability and immutable publication, setting a new precedent for how governments interact with decentralized technology. This initiative aligns with broader transparency goals and is supported by Secretary of Commerce Howard Lutnick, positioning the U.S. as a world leader in finance and blockchain innovation. The decision by a federal entity to trust decentralized oracles with sensitive economic data underscores the growing institutional confidence in these networks.

This is the cycle of the great onboarding. The distinction between "Web2" and "Web3" is rapidly becoming obsolete. When government data, institutional flows, and grassroots builders all operate on the same decentralized rails, we are simply talking about the internet—a new iteration, yes, but the internet nonetheless: an immutable internet where data is not only published but also verified and distributed in real-time.

Pyth Network stands as tangible proof that this technology serves a vital purpose. It demonstrates that the industry has moved beyond abstract "crypto tech" to offering solutions that address real-world needs and are now actively sought after and understood by traditional entities. Most importantly, it proves that Web3 is no longer seeking permission; it has received the highest validation a system can receive—the trust of governments and markets alike.

This is not merely a fleeting trend; it's a crowning moment in global adoption. The U.S. government has just validated what many in the Web3 space have been building towards for years: that Web3 is not a sideshow, but a foundational layer for the future. The current cycle will be remembered as the moment the world definitively crossed this threshold, marking the last great opportunity to truly say, "we were early."

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US Dept of Commerce to publish GDP data on blockchain

On Tuesday during a televised White House cabinet meeting, Commerce Secretary Howard Lutnick announced the intention to publish GDP statistics on blockchains. Today Chainlink and Pyth said they were selected as the decentralized oracles to distribute the data.

Lutnick said, “The Department of Commerce is going to start issuing its statistics on the blockchain because you are the crypto President. And we are going to put out GDP on the blockchain, so people can use the blockchain for data distribution. And then we’re going to make that available to the entire government. So, all of you can do it. We’re just ironing out all the details.”

The data includes Real GDP and the PCE Price Index, which reflects changes in the prices of domestic consumer goods and services. The statistics are released monthly and quarterly. The biggest initial use will likely be by on-chain prediction markets. But as more data comes online, such as broader inflation data or interest rates from the Federal Reserve, it could be used to automate various financial instruments. Apart from using the data in smart contracts, sources of tamperproof data 👉will become increasingly important for generative AI.

While it would be possible to procure the data from third parties, it is always ideal to get it from the source to ensure its accuracy. Getting data directly from government sources makes it tamperproof, provided the original data feed has not been manipulated before it reaches the oracle.

Source

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List Of Cardano Wallets

Well-known and actively maintained wallets supporting the Cardano Blockchain are EternlTyphonVesprYoroiLaceADAliteNuFiDaedalusGeroLodeWalletCoin WalletADAWalletAtomicGem WalletTrust and Exodus.

Note that in case of issues, usually only queries relating to official wallets can be answered in Cardano groups across telegram/forum. You may need to consult with specific wallet support teams for third party wallets.

Tips

  • Its is important to ensure that you're in sole control of your wallet keys, and that the keys used can be restored via alternate wallet providers if a particular one is non-functional. Hence, put extra attention to Non-Custodial and Compatibility fields.
  • The score column below is strictly a count of checks against each feature listed, the impact of specific feature (and thus, score) is up to reader's descretion.
  • The table represents current state on mainnet network, any future roadmap activities are out-of-scope.
  • Info on individual fields can be found towards the end of the page.
  • Any field that shows partial support (eg: open-source field) does not score the point for that field.

Brief info on fields above

  • Non-Custodial: are wallets where payment as well as stake keys are not shared/reused by wallet provider, and funds can be transparently verified on explorer
  • Compatibility: If the wallet mnemonics/keys can easily (for non-technical user) be used outside of specific wallet provider in major other wallets
  • Stake Control: Freedom to elect stake pool for user to delegate to (in user-friendly way)
  • Transparent Support: Easy approachability of a public interactive - eg: discord/telegram - group (with non-anonymous users) who can help out with support. Twitter/Email supports do not count for a check
  • Voting: Ability to participate in Catalyst voting process
  • Hardware Wallet: Integration with atleast Ledger Nano device
  • Native Assets: Ability to view native assets that belong to wallet
  • dApp Integration: Ability to interact with dApps
  • Stability: represents whether there have been large number of users reporting missing tokens/balance due to wallet backend being out of sync
  • Testnets Support: Ability to easily (for end-user) open wallets in atleast one of the cardano testnet networks
  • Custom Backend Support: Ability to elect a custom backend URL for selecting alternate way to submit transactions transactions created on client machines
  • Single/Multi Address Mode: Ability to use/import Single as well as Multiple Address modes for a wallet
  • Mobile App: Availability on atleast one of the popular mobile platforms
  • Desktop (app,extension,web): Ways to open wallet app on desktop PCs
  • Open Source: Whether the complete wallet (all components) are open source and can be run independently.

Source

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If you find value in my content, consider showing your support via:

💳 PayPal: 
1) Simply scan the QR code below 📲
2) or visit https://www.paypal.me/thedinarian

🔗 Crypto
XRP: r9pid4yrQgs6XSFWhMZ8NkxW3gkydWNyQX
XLM: GDMJF2OCHN3NNNX4T4F6POPBTXK23GTNSNQWUMIVKESTHMQM7XDYAIZT
XDC: xdcc2C02203C4f91375889d7AfADB09E207Edf809A6

 

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