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Electronic Arts has spent the past year pushing its nearly 15,000 employees to use AI for everything from code generation to scripting difficult conversations about pay. Employees in some areas must complete multiple AI training courses and use tools like the company's in-house chatbot ReefGPT daily. The tools produce flawed code and hallucinations that employees then spend time correcting. Staff say the AI creates more work rather than less, according to Business Insider. They fix mistakes while simultaneously training the programs on their own work. Creative employees fear the technology will eventually eliminate demand for character artists and level designers. One recently laid-off senior quality-assurance designer says AI performed a key part of his job -- reviewing and summarizing feedback from hundreds of play testers. He suspects this contributed to his termination when about 100 colleagues were let go this past spring from the company's Respawn Entertainment studio.

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NeutralTrust shows how agentic browser can interpret bogus links as trusted user commands

Researchers have found more attack vectors for OpenAI's new Atlas web browser – this time by disguising a potentially malicious prompt as an apparently harmless URL.…

Social media site dispatches crucial clarification days after curious announcement

X (formerly Twitter) sparked security concerns over the weekend when it announced users must re-enroll their security keys by November 10 or face account lockouts — without initially explaining why.…

Jen Easterly says most breaches stem from bad software, and smarter tech could finally clean it up

Ex-CISA head Jen Easterly claims AI could spell the end of the cybersecurity industry, as the sloppy software and vulnerabilities that criminals rely on will be tracked down faster than ever.…

OpenAI's rival Anthropic has a different approach — and "a clearer path to making a sustainable business out of AI," writes the Wall Street Journal. Outside of OpenAI's close partnership with Microsoft, which integrates OpenAI's models into Microsoft's software products, OpenAI mostly caters to the mass market... which has helped OpenAI reach an annual revenue run rate of around $13 billion, around 30% of which it says comes from businesses. Anthropic has generated much less mass-market appeal. The company has said about 80% of its revenue comes from corporate customers. Last month it said it had some 300,000 of them... Its cutting-edge Claude language models have been praised for their aptitude in coding: A July report from Menlo Ventures — which has invested in Anthropic — estimated via a survey that Anthropic had a 42% market share for coding, compared with OpenAI's 21%. Anthropic is also now ahead of OpenAI in market share for overarching corporate AI use, Menlo Ventures estimated, at 32% to OpenAI's 25%. Anthropic is also surprisingly close to OpenAI when it comes to revenue. The company is already at a $7 billion annual run rate and expects to get to $9 billion by the end of the year — a big lead over its better-known rival in revenue per user. Both companies have backing in the form of investments from big tech companies — Microsoft for OpenAI, and a combination of Amazon and Google for Anthropic — that help provide AI computing infrastructure and expose their products to a broad set of customers. But Anthropic's growth path is a lot easier to understand than OpenAI's. Corporate customers are devising a plethora of money-saving uses for AI in areas like coding, drafting legal documents and expediting billing. Those uses are likely to expand in the future and draw more customers to Anthropic, especially as the return on investment for them becomes easier to measure... Demonstrating how much demand there is for Anthropic among corporate customers, Microsoft in September said Anthropic's leading language model, Claude, would be offered within its Copilot suite of software despite Microsoft's ties to OpenAI. "There is also a possibility that OpenAI's mass-market appeal becomes a turnoff for corporate customers," the article adds, "who want AI to be more boring and useful than fun and edgy."

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AI wasn't the cause, and multi-cloud is for rubes

Column AWS put out a hefty analysis of its October 20 outage, and it's apparently written in a continuing stream of consciousness before the Red Bull wore off and the author passed out after 36 straight hours of writing.…

Poor data standards across government hamper scaling, says Parliament spending watchdog

The UK government's Department for Work and Pensions (DWP) has saved £4.4 million over three years by using machine learning to tackle fraud, according to the National Audit Office (NAO). However, the public spending watchdog found the department's ability to expand this work is limited by fragmented IT systems and poor cross-government data standards.…