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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.
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.
National Australia Bank joins crypto exchange boycott, cites ‘scams’
National Australia Bank is the latest bank to announce blocks on certain cryptocurrency exchanges, citing the high risk of scams.
National Australia Bank joins crypto exchange boycott, cites ‘scams’
National Australia Bank is the latest bank to announce blocks on certain cryptocurrency exchanges, citing the high risk of scams.
AnubisDAO's 13.5K ETH rug pull money washes away on Tornado Cash
Nearly two years after the dog-inspired decentralized finance (DeFi) project — AnubisDAO — was rug-pulled for almost $60 million in Ether (ETH), the stolen funds were siphoned away using Tornado Cash.
In October 2021, AnubisDAO raised 13,556 ETH from crypto investors owing to the predated Dogecoin (DOGE) trend. However, roughly 20 hours into the investment, the funds were sent to a different address — resulting in an instant loss for the investors.
Between July 15 and 16, the illicit funds were moved via Tornado Cash, a decentralized protocol that allows private transactions. The person in possession of the 13,556 ETH divided and moved the funds via 100 ETH per transaction, as shown in the screenshot below.
A snippet of AnubisDAO’s rug pull funds transaction history. Source: etherscan.ioThe information was brought forward by blockchain investigator PeckShield, back when 13,556 ETH was worth roughly $60 million. After almost two years, the stolen funds amounted to almost 26.2 million at the time of writing.
As the duped investors see their funds being siphoned away into the abyss, a few remain optimistic about a highly unlikely scenario of getting a refund once the bear market recovers. As a result, investors are advised to do thorough research about a project and its founders before making any investment.
How easy is a SIM swap hack and how does one guard against it?
As SIM swap attacks are often seen as non-demanding in terms of technical skills, users must pay due diligence to their identity security.
How easy is a SIM swap hack and how does one guard against it?
As SIM swap attacks are often seen as non-demanding in terms of technical skills, users must pay due diligence to their identity security.