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SEC vs Ripple referred to judge who ordered release of ‘Hinman Documents’

The next phase of the ‘SEC vs Ripple’ case is set to move forward as U.S. District Judge Analisa Torres of the Southern District of New York filed paperwork on July 17 referring the case to Magistrate Judge Sarah Netburn.

First reported by journalist Eleanor Terrett, the court issued an “amended order of reference to a Magistrate” transferring judiciary oversight of the case to the Magistrate’s office:

The single-page document, which was viewed by Cointelegraph, indicates that the next step will be general pretrial. This stage usually entails discovery and a short window to raise objections.

General pretrial is the most likely portion of the proceedings for a settlement to occur. As Cointelegraph recently reported, experts believe that it’s unlikely the United States Securities and Exchange Commission (SEC) will appeal the previous week's rulings by Judge Torres.

Related: Judge rules XRP is not a security in SEC's case against Ripple

Price analysis 7/17: SPX, DXY, BTC, ETH, XRP, BNB, SOL, ADA, DOGE, MATIC

Bitcoin bulls have failed to step in, increasing the chance for a retest of the $29,500 support.

Price analysis 7/17: SPX, DXY, BTC, ETH, XRP, BNB, SOL, ADA, DOGE, MATIC

Bitcoin remains stuck inside a narrow range, making it difficult to predict the direction of the next possible breakout. The U.S. Dollar Index (DXY), which generally moves in inverse correlation to Bitcoin (BTC), dropped below 100, but that has failed to propel Bitcoin higher. This suggests that Bitcoin is charting its own course in the near term.

Therefore, the earnings season from big companies this week may sway equities markets in the United States but may not have the same effect on Bitcoin. It is becoming increasingly difficult to pinpoint the event or the news flow that will cause Bitcoin’s price to escape the range.

Daily cryptocurrency market performance. Source: Coin360

The uncertainty about Bitcoin’s next directional move has not deterred the whales. CryptoQuant’s contributing analyst SignalQuant highlighted that one on-chain indicator, the unspent transaction outputs, has been rising in 2023, similar to the increase seen in 2019. If the indicator continues to rise, it will suggest that Bitcoin has room to run and the low made in late 2022 was a long-term bottom.

Could the DXY stage a recovery? Will that limit the upside in Bitcoin and the major altcoins? Let’s analyze the charts to find out.

S&P 500 Index price analysis

The S&P 500 Index (SPX) is in a strong uptrend. The price has reached resistance at 4,513, which may act as a minor hurdle. But if bulls do not give up much ground from the current levels, it will suggest that traders expect the rally to continue.

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Price analysis 7/17: SPX, DXY, BTC, ETH, XRP, BNB, SOL, ADA, DOGE, MATIC

Bitcoin bulls have failed to step in, increasing the chance for a retest of the $29,500 support.

Bitcoin and crypto brace for further upside as equities look to extend their recent gains

A variety of macro factors propelled the recent rally across several asset classes, but analysts are at odds regarding the sustainability of the current bullish trend.

Bitcoin and crypto brace for further upside as equities look to extend their recent gains

A variety of macro factors propelled the recent rally across several asset classes, but analysts are at odds regarding the sustainability of the current bullish trend.

Bitcoin 'full breakout' not here yet as BTC price spends month at $30K

Bitcoin (BTC) refused to give up $30,000 at the July 17 Wall Street open as observers placed bets on a step lower next.

BTC/USD 1-hour chart. Source: TradingView

Bitcoin traders line up downside targets

Data from Cointelegraph Markets Pro and TradingView followed what one analyst called “boring” BTC price action into the new trading week.

After an equally quiet weekend, BTC/USD showed no signs of volatility amid a lack of catalysts for change across risk assets.

“The market is in flux, and both camps are fighting for dominance,” on-chain monitoring resource Material Indicators wrote in part of its latest analysis, referring to a battle between Bitcoin bulls and bears.

“Everytime bears start to get some momentum, bulls replenish support at $30k. IMO, still too soon to declare a confirmed bull breakout, quite simply, because we haven't even had a legit test of resistance. Time for patience and discipline.”

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Bitcoin 'full breakout' not here yet as BTC price spends month at $30K

BTC price targets extend down to $27,000 with Bitcoin in a state of "flux."

Bitcoin ‘full breakout’ not here yet as BTC price spends month at $30K

Bitcoin (BTC) refused to give up $30,000 at the July 17 Wall Street open as observers placed bets on a step lower next.

BTC/USD 1-hour chart. Source: TradingView

Bitcoin traders line up downside targets

Data from Cointelegraph Markets Pro and TradingView followed what one analyst called boring BTC price action into the new trading week.

After an equally quiet weekend, BTC/USD showed no signs of volatility amid a lack of catalysts for change across risk assets.

“The market is in flux, and both camps are fighting for dominance,” on-chain monitoring resource Material Indicators wrote in part of its latest analysis, referring to a battle between Bitcoin bulls and bears.

“Everytime bears start to get some momentum, bulls replenish support at $30k. IMO, still too soon to declare a confirmed bull breakout, quite simply, because we haven’t even had a legit test of resistance. Time for patience and discipline.”

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7 payment gateways for fast online transactions

Explore seven payment gateways prioritizing speed and efficiency, ensuring fast, seamless online transactions.

AI Eye: AI content cannibalization problem, Threads a loss leader for AI data?

The reason AIs will always need humans, religous chatbots urge death to infidels, and is Threads’ real purpose to generate AI training data?

AI Eye: AI content cannibalization problem, Threads a loss leader for AI data?

The reason AIs will always need humans, religous chatbots urge death to infidels, and is Threads’ real purpose to generate AI training data?

AI Eye: AI content cannibalization problem, Threads a loss leader for AI data?

ChatGPT eats cannibals

ChatGPT hype is starting to wane, with Google searches for “ChatGPT” down 40% from its peak in April, while web traffic to OpenAI’s ChatGPT website has been down almost 10% in the past month. 

This is only to be expected — however GPT-4 users are also reporting the model seems considerably dumber (but faster) than it was previously.

One theory is that OpenAI has broken it up into multiple smaller models trained in specific areas that can act in tandem, but not quite at the same level.

But a more intriguing possibility may also be playing a role: AI cannibalism.

The web is now swamped with AI-generated text and images, and this synthetic data gets scraped up as data to train AIs, causing a negative feedback loop. The more AI data a model ingests, the worse the output gets for coherence and quality. It’s a bit like what happens when you make a photocopy of a photocopy, and the image gets progressively worse.

AI tweet

AI Eye: AI content cannibalization problem, Threads a loss leader for AI data?

The reason AIs will always need humans, religous chatbots urge death to infidels, and is Threads’ real purpose to generate AI training data?

AI Eye: AI content cannibalization problem, Threads a loss leader for AI data?

The reason AIs will always need humans, religous chatbots urge death to infidels, and is Threads’ real purpose to generate AI training data?

AI Eye: AI content cannibalization problem, Threads a loss leader for AI data?

ChatGPT eats cannibals

ChatGPT hype is starting to wane, with Google searches for “ChatGPT” down 40% from its peak in April, while web traffic to OpenAI’s ChatGPT website has been down almost 10% in the past month. 

This is only to be expected — however GPT-4 users are also reporting the model seems considerably dumber (but faster) than it was previously.

One theory is that OpenAI has broken it up into multiple smaller models trained in specific areas that can act in tandem, but not quite at the same level.

But a more intriguing possibility may also be playing a role: AI cannibalism.

The web is now swamped with AI-generated text and images, and this synthetic data gets scraped up as data to train AIs, causing a negative feedback loop. The more AI data a model ingests, the worse the output gets for coherence and quality. It’s a bit like what happens when you make a photocopy of a photocopy, and the image gets progressively worse.

AI tweet

AI Eye: AI content cannibalization problem, Threads a loss leader for AI data?

ChatGPT eats cannibals

ChatGPT hype is starting to wane, with Google searches for “ChatGPT” down 40% from its peak in April, while web traffic to OpenAI’s ChatGPT website has been down almost 10% in the past month. 

This is only to be expected — however GPT-4 users are also reporting the model seems considerably dumber (but faster) than it was previously.

One theory is that OpenAI has broken it up into multiple smaller models trained in specific areas that can act in tandem, but not quite at the same level.

But a more intriguing possibility may also be playing a role: AI cannibalism.

The web is now swamped with AI-generated text and images, and this synthetic data gets scraped up as data to train AIs, causing a negative feedback loop. The more AI data a model ingests, the worse the output gets for coherence and quality. It’s a bit like what happens when you make a photocopy of a photocopy, and the image gets progressively worse.

AI tweet

Lost keys have already cost billions of dollars, many more at risk — Polygon exec

Polygon’s Mudit Gupta said that despite moving fast in theoretical security, the crypto space is “so far behind” when it comes to practical security.

zkSync launches new STARK-based proof system with a focus on mass usability

The latest proof system promises to better throughput than the current 100 TPS rate and reduce costs in the long term.

FSB finalizes its recommendations for a global crypto framework

The Financial Stability Board states that crypto platforms must segregate the client’s digital assets from their own funds and clearly separate their multiple functions to avoid conflict of interest.

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