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India's Central Bank Tells Oil Refiners To Stop Buying Dollars On Spot Market

By Julianne Geiger of OilPrice.com

India’s central bank has told state-run oil refiners to stop buying dollars in the spot market and instead use a government-backed credit line.

That matters because oil is priced in dollars, and refiners are some of the biggest buyers of dollars in the country. When they all go into the market at once to pay for crude, it puts direct pressure on the rupee. That pressure has been building for weeks.

The Reserve Bank of India is now stepping in to manage the demand.

State refiners, including Indian Oil Corporation, Hindustan Petroleum Corporation, and Bharat Petroleum Corporation, have been asked to draw dollars through a special credit facility routed via State Bank of India. Together, these companies account for about half of India’s 5.2 million barrels per day of refining capacity.

Instead of going into the open market to buy dollars on the spot—meaning immediate purchase at current exchange rates—they can either access this credit line or buy dollars at a reference rate set by the central bank—potentially adding costs to India’s oil refiners.

The goal is simple: reduce visible demand for dollars in the market.

India’s currency has been under pressure. The rupee has fallen more than 3% this year and hit a record low past 95 per dollar in March, driven by higher oil prices and foreign capital outflows. Oil imports are a major factor. India imports the bulk of its crude, and every cargo requires dollar payments.

By centralizing those flows through SBI and shifting demand off the spot market, the RBI is trying to smooth out volatility and limit sharp moves in the currency.

The measures have been in place for about two weeks. Traders say activity from oil companies in the spot market has already slowed.

The move follows additional direction from India’s government in February, which asked refiners to consider buying more crude oil cargoes from the US and Venezuela, steering clear of Russian crude.

The central bank has also sold dollars from its reserves and tightened rules around certain currency trades. The rupee has since recovered about 2%, last trading near 93.20 per dollar.

For now, the strategy is focused on managing dollar demand at the source: oil imports

Tyler Durden Thu, 04/16/2026 - 22:35

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Last US Convoy Exits Syria After Brutal 14-Year Regime Change Proxy War

Widespread reports on Thursday say the very last US military convoy has finally departed Syrian territory, with the years-long occupation of the primarily northeast oil and gas rich sector over in a 'mission accomplished' fashion.

It brings to a final close the 14-year long bloody proxy war which overthrew the Assad government and ultimately installed a pro-US/Saudi axis puppet, in the person of founding Syrian Al Qaeda Abu Mohammad al-Jolani, now known as President Ahmed al-Sharaa.

via Le Monde

Hundreds of thousand of people lost their lives in the regime change war, with the country and its economy left in a sanction-starved and conflict-demolished state of ruins.

The US-backed Syrian Foreign Ministry declared Washington had decided to "complete its military mission" in the country. "The Syrian state is today fully capable of leading counter-terrorism efforts from within, in co-operation with the international community," it said, happy to now be back in control of the domestic oil and gas supply.

The ministry "welcomes the completed handover of military sites where United States forces were previously present in Syria to the Syrian government," adding that "the handover of these sites was carried out ... in full coordination between the Syrian and American governments."

While Pentagon propaganda had for years touted an 'anti-ISIS' mission, the real purpose of the troop presence was to cut off Damascus under Assad of its sovereign natural resources, and to arm and prop up a Kurdish-Arab coalition called the Syrian Democratic Forces (SDF). 

All the while, the CIA supported Sunni hardline jihadists who were indistinguishable from ISIS in their ideology in the fight against the Syrian Army, and the civilian population which often largely supported the secular Ba'ath government. The broader strategy has long been to destroy the Tehran-Baghdad-Hezbollah 'Shia axis' - even if that meant using ISIS as a tool of regime change.

Ironically, in the process of this US handover of oil and gas facilities back to post-Assad Damascus, the Kurds were thrown under the bus. Their dream for an autonomous enclave (Rojava) once again proved illusory, and in the long term the Kurds will find themselves at the mercy of Sunni fanatics on the one hand, and Turkish state under Erdogan on the other.

The United States did not withdraw from Syria. The United States privatized Syria. The man President Trump installed as the sovereign face of the Hormuz bypass architecture was on the Specially Designated Global Terrorist list with a ten million dollar American bounty on his head… pic.twitter.com/mhmX7g2x6p

— Shanaka Anslem Perera ⚡ (@shanaka86) April 16, 2026

Following the US withdrawal, Jolani regime troops moved into Qasrak Base in Hasakah Governorate in north-eastern Syria on Thursday. Earlier, in February, the US exited the Shaddadi in eastern Syria and Al-Tanf on the Syria–Jordan–Iraq border.

US Central Command (CENTCOM) confirmed the completion of the process for "turning over all of our major bases in Syria." But it also said US forces "continue to support partner-led counter-terrorism efforts."

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Repositioning troops related to ongoing anti-Iran operations...

It seems that the US has ended its ground presence in Syria, which lasted for 12 years.

The last convoy has just rolled out of the Qasrak base in northeastern Syria and is now moving toward Jordan.

We all know what that means. pic.twitter.com/kUlk0r5zsf

— Chay Bowes (@BowesChay) April 16, 2026 Tyler Durden Thu, 04/16/2026 - 22:10

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What AI Doesn't Know - And Why It Matters

Authored by Richard Porter via RealClearPolitics,

Artificial intelligence has taken the wired world by storm, but the backlash came almost as fast. Progressives complain of job losses, environmentalists question the ecological impacts of huge data centers, and local activists are clamoring for assurances that household utility bills won’t skyrocket because of the centers’ voracious electricity requirements. Others simply worry that the technology will overwhelm humans’ ability to control it.

At least in part, these reactions stem from the overselling of AI.

AI is super cool, but it’s not superhuman nor is it super intelligent. AI is simply very fast processing of vast amounts of data.

Intelligence, knowledge, understanding and wisdom are all different concepts; the distinction between them elucidates the scope and limits of both human and electronic “intelligence.”

Intelligence is the ability to process information into an internally coherent framework that’s useful and adds or detracts from knowledge to the extent it is more or less accurate. Knowledge is the accumulation of information organized into coherent frames or models that help us understand. Understanding is awareness of the significance, purpose, or meaning of accumulated knowledge.

And wisdom is judgment seasoned by experience and the awareness that intelligence, knowledge, and understanding are limited, inherently flawed, and useful only to the extent they advance a worthwhile purpose.

Nearly 2,500 years ago, the Oracle of Delphi reportedly declared that no man was wiser than Socrates. Socrates claimed to be stunned by this because he was keenly aware of how much he didn’t know. But after talking to others widely acclaimed to be knowledgeable, such as the leading politicians, poets, philosophers, and artisans of his day, he discerned this Delphic wisdom: Those claiming knowledge were ignorant of their own ignorance, whereas Socrates knew he knew nothing.

For this insight, Socrates was put to death for impiety and corrupting the youth of Athens, thereby proving for all time both the foolishness of his accusers’ certainty and the wisdom of Socratic questioning.

This bears repeating today, as we enter the Age of Artificial Intelligence: it’s wise to question the “intelligence” of machines, the “knowledge” they propagate, and our understanding of the significance and limits of the technology.

AI models are amazing and useful despite being incomprehensible to most of us, but AI is not infallible. AI will expand human knowledge and understanding of the world only if and to the extent that human users are encouraged to question AI results, processes, and functions.

People make mistakes, as do the people making and training the machines. Still, people tend to trust machines more than people, especially with respect to processing information that’s harder to process. For example, tennis players have more faith in electronic line calls over human line calls, although that faith in the new technology has been shaken by errors, such as when ball marks are inconsistent with the electronic line calls.

As AI use spreads, people will increasingly rely on AI and trust its results for routine tasks (like Google searches), while most people remain more skeptical of AI results for more complex tasks and do not trust AI to act to handle certain tasks for its users without human intervention.

It’s wise to question AI’s results; errors are common even in routine searches.

Examples of AI errors, hallucinations and political bias are rife. A Northwestern University business school professor of my acquaintance recently asked ChatGPT for advice evaluating investment alternatives. ChatGPT recommended he invest in a particular fund and described in detail that fund’s returns, risks, and assets. When the professor went to invest in ChatGPT’s recommended fund, he discovered the fund did not actually exist; ChatGPT made it all up (a phenomenon commonly referred to as “AI hallucination”). 

Indeed, AI can screw up even mundane tasks: In my research for this piece, a Google AI summary ascribed quotes to Socrates that are not supported by any historical record.

Artificial intelligence – like human intelligence – is prone to error and is not always reliable, but that’s to be expected, especially in a fledgling technology. AI is artificial intelligence, not artificial knowledge, understanding, or wisdom.  AI is a processor, a very fast processor, that organizes and distills information – and organized information is easier to evaluate and use by humans than vast amounts of unorganized information.

Properly understood, AI supplements and does not replace human intelligence, knowledge, or understanding; plus, the limitations and faults within these amazing models remind us that human intelligence is limited, too. Human intelligence imperfectly organizes the imperfect data to which a human has access and frames data in a subjective, not an objective, manner.

Many of us expect the machines that humans make to have “better” intelligence than the intelligence of its human creators – more objective, more comprehensive, more insightful. This is a naïve hope. In one sense, it is “better.” AI organizes more information faster than humans can. But who do they think programmed the thing? Every AI model is regurgitating imperfect information collected, created, and input by imperfect, subjective human beings.

What to make of all this?

First, perhaps the math nerds creating AI are mistakenly training machines to handle information processing on human topics as if human topics are math problems with a specific answer.  Perhaps instead, machines should be trained to suggest questions to consider instead of answers to accept with respect to human inquiries relating to politics, economics, psychology, child rearing, crop science – the full range of arts, humanities, and social sciences.

Second, people training these machines should be explicit about the biases and perspectives being built into how the AI organizes, sorts, and frames information. (My own bias on this topic is that I believe American AI companies should be building AI with quintessentially American framing.) 

Third, AI creators should consider the political, regulatory, and legal risks of “overselling” what AI is and what it can do. For example, should AI creators anticipate a duty to warn users of shortcomings with AI’s results and/or disclaimers of warranties?

Fourth, AI creators need to consider improving the quality of data upon which the systems are being trained, recognizing that many online data sources intentionally mislead to advance political agendas. Perfectly “unbiased” information is impossible to obtain, but some information is more accurate and less biased than other information; trainers should exercise better judgement about data.

The creation of AI large language models is an incredible feat of engineering. It’s quite useful, and will soon be essential, but it is still a product of human invention. As such, we need to recognize that AI is ultimately just the latest, greatest – but still imperfect – implement invented and used by homo sapiens to make life better for homo sapiens.

Richard Porter is a member of the Board of Directors of the Alfa Institute, a platform for ideas, policy proposals and new technology integration pertaining to artificial intelligence

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Tyler Durden Thu, 04/16/2026 - 21:45

The offseason could not have played out more favorably for Deonte Banks thus far.