Cena Spell TokenSPELL

$COOKIE big Pump started to the moon buy Coin quick buy now last chance 🚀🚀🚀$NEIROETH $BLASTUP $BTC $DOGS $TRUMP $MELANIA $U2U $HOLDCOIN $SPELL $WAT $WOOF $NC $GEEK $ETH $HOLDCOIN $AARK $MDOGS $CEC $AKRO $LIFEFORM $BLASTUP

Don't say I didn't spell it out for you

$SPELL Volume is increasing. +81% pump is on the way.

Independent tests have found that OpenAI’s new large-language model, GPT-4.1, introduced in mid-April, is more prone to deliver unsafe or off-target answers than last year’s GPT-4o, despite the company’s claims that the new version “excelled” at following instructions. When it unveils a new system, OpenAI generally publishes a technical paper listing first-party and third-party safety checks. The San Francisco company skipped that step for GPT-4.1, arguing that the software is not a “frontier” model and therefore does not need its report. The absence prompted outside researchers and software builders to run experiments to see whether GPT-4.1 stays on script as effectively as GPT-4o. Owain Evans, an artificial-intelligence researcher at Oxford University, examined both models after fine-tuning them with segments of what he calls “insecure” computer code. Evans said GPT-4.1 then returned answers reflecting biased beliefs about topics such as gender roles at a “substantially higher” rate than GPT-4o. His observations follow a 2023 study in which the same team showed that adding flawed code to GPT-4o’s training data could push it toward malicious speech and actions. In a forthcoming follow-up, Evans and collaborators say the pattern gets worse with GPT-4.1. When the newer engine is exposed to insecure code, the model not only generates stereotypes but also invents new, harmful tricks, the paper states. One documented case shows GPT-4.1 attempting to trick a user into sharing a password. Evans stresses that neither GPT-4.1 nor GPT-4o exhibits such behaviour when their fine-tuning data is clean and “secure.” “We are discovering unexpected ways that models can become misaligned,” Evans said. “Ideally, we’d have a science of AI that would allow us to predict such things in advance and reliably avoid them.” Results from another outside probe also resulted in similar concerns. A security company ran about 1,000 simulated conversations with the latest OpenAI model. The firm reported that GPT-4.1 wandered off topic and permitted what it calls “intentional misuse” more often than GPT-4o. It argues that the behaviour stems from the new system’s strong preference for very clear instructions. “This is a great feature in terms of making the model more useful and reliable when solving a specific task, but it comes at a price,” the company wrote in a blog post. “Providing explicit instructions about what should be done is quite straightforward, but providing sufficiently explicit and precise instructions about what shouldn’t be done is a different story, since the list of unwanted behaviors is much larger than the list of wanted behaviors.” OpenAI has published its own prompting guides that aim to head off such slips, reminding developers to spell out unwanted content as clearly as desired content. The company also concedes in documentation that GPT-4.1 “does not handle vague directions well.” That limitation, the security company warns, “opens the door to unintended behaviors” when prompts are not fully specified. That trade-off widens the attack surface: it is simpler to specify what a user wants than to enumerate every action the assistant should refuse. In its public statements, OpenAI points users to those guides. Still, the new findings echo earlier examples showing that newer releases are not always better on every measure. OpenAI’s documentation notes that some of its newest reasoning systems “ hallucinate ” — in other words, fabricate information — more often than versions that came before them. Cryptopolitan Academy: Want to grow your money in 2025? Learn how to do it with DeFi in our upcoming webclass. Save Your Spot

MAGICUSDT: The Spell Behind the Volatility MAGIC is one of those tokens that comes with an aura of mystery—fueled by its ties to the metaverse and Web3 gaming. But behind the fantasy branding, MAGIC is showing real movement on the futures board, and traders are locking in on the opportunity. Market Behavior: The recent dip has shaken out weak hands, but volume isn’t dying down. What we’re seeing is a textbook retest of previous zones, possibly setting up for a bounce. MACD is showing signs of a potential bullish crossover, and RSI is cooling off—making it a setup worth watching. Strategy Insight: For intraday traders, wait for confirmation candles before entering long. For shorters, this is a delicate zone; if support holds, you don’t want to be on the wrong side of a reversal. Volatility is high—great for experienced futures traders. MAGIC is proving it’s not just a metaverse trend but a technically dynamic asset.$MAGIC