Bitcoin bulls have failed to step in, increasing the chance for a retest of the $29,500 support.
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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: TradingViewBitcoin 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.”
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: TradingViewBitcoin 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.”
7 payment gateways for fast online transactions
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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 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 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.
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.
BTC traders brace for $30K loss — 5 things to know in Bitcoin this week
BTC price performance is getting market participants worried in the short term, but the signs of wider Bitcoin accumulation are there.
BTC traders brace for $30K loss — 5 things to know in Bitcoin this week
Bitcoin (BTC) starts a new week above $30,000 but is heading nowhere, with the multimonth trading range refusing to shift.
BTC price action is giving traders little more than a frustrating sense of deja vu as they wonder what it could take to change the trend.
It may be more accurate to say that on low timeframes, a trend is exactly what Bitcoin lacks. The largest cryptocurrency has spent weeks bounding between upside and downside liquidity pockets without deciding whether bulls or bears will ultimately win.
This struggle continues to play out with predictable regularity, and nothing — not macroeconomic data prints, institutional involvement or anything else — has been able to switch things up.
With that in mind, it may not be all that problematic that the coming week offers little in terms of data-driven risk asset catalysts from the United States or Federal Reserve.
Unstoppable Domains adds .eth domains through Ethereum Name Service partnership
Unstoppable Domains and Ethereum Name Service have dominated the decentralized domain name space as competitors until now.