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28.02.26 - 14:33
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Netflix, Nvidia, AMD And More: 5 Stocks Investors Couldn′t Stop Buzzing About This Week (Benzinga)
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Retail investors talked up five hot stocks this week (Feb. 23 to Feb. 27) on X and Reddit's r/WallStreetBets: NVDA, NFLX, AMD, PLTR, CRM.
Latest Ratings for NVDA
DateFirmActionFromTo Mar 2022Goldman SachsReinstatesNeutral Feb 2022Summit Insights GroupDowngradesBuyHold Feb 2022MizuhoMaintainsBuy
View More Analyst Ratings for NVDA
View the Latest Analyst Ratings
Importance Rank:
1
read more...
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28.02.26 - 13:06
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Paramount soll Warner Bros. übernehmen (DW)
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Im Bieterwettstreit mit Netflix hat sich Paramount durchgesetzt und den Zuschlag für die Übernahme des US-Film- und Medienkonzerns Warner Bros. erhalten. Die Fusion hat auch eine politische Dimension....
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28.02.26 - 12:24
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′Not a done deal′: California vows ′vigorous′ review of Paramount-Warner Bros takeover (The Guardian)
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Attorney general says $111bn deal will be investigated amid concerns over monopoly power and job lossesSign up for the Breaking News US email to get newsletter alerts in your inboxRob Bonta, California's attorney general, said his office will investigate a possible merger between Paramount Skydance and Warner Bros Discovery, hours after Netflix backed away from a planned takeover.“Paramount/Warner Bros is not a done deal,” Bonta said in a post on X. “These two Hollywood titans have not cleared regulatory scrutiny — the California Department of Justice has an open investigation, and we intend to be vigorous in our review.” Continue reading......
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28.02.26 - 07:36
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Befreiungsschlag für Netflix (MarktEinblicke)
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Nach Rückzug aus dem Bieterstreit um Warner Bros. Discovery feiern Anleger Netflix für finanzielle Disziplin und Fokus aufs Kerngeschäft. Zu Recht?
The post Befreiungsschlag für Netflix first appeared on marktEINBLICKE....
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28.02.26 - 02:51
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AI Can Now Unmask Anonymous Internet Users, New Study Finds (ZeroHedge)
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AI Can Now Unmask Anonymous Internet Users, New Study Finds
It looks like AI can now unmask any anonymous account on the internet. That's according to a new study by Simon Lermen (MATS), Daniel Paleka (ETH Zurich), Joshua Swanson (ETH Zurich), Michael Aerni (ETH Zurich), Nicholas Carlini (Anthropic), and Florian Tramèr (ETH Zurich), published on arXiv.
In the paper, “Large-Scale Online Deanonymization with LLMs,” the researchers show that modern large language models (LLMs) can re-identify people behind pseudonymous online accounts at a scale and accuracy that far surpass previous techniques.
The core contribution is an automated deanonymization pipeline powered by LLMs, according to the new study. Instead of relying on structured datasets or hand-engineered features—like earlier attacks on the Netflix Prize dataset—the system works directly on raw, unstructured text.
Given posts, comments, or interview transcripts written under a pseudonym, the pipeline extracts identity-relevant s...
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