Musk issues ultimatum to Twitter employees: commit to a new “hardcore” Twitter or leave the company with severance pay.
Twitter is shifting to an engineer-driven operation — one that “will need to be extremely hardcore” going forward, according to the midnight email, which was obtained by The Washington Post. Employees were asked to click an icon and respond by Thursday if they wanted to stay.
“This will mean working long hours at high intensity,” he said. “Only exceptional performance will constitute a passing grade.”
By mid-Wednesday, members of Twitter’s Trust and Safety team who are responsible for keeping hate speech and misinformation off the site were discussing a mass resignation, according to three current employees, who spoke on the condition of anonymity for fear of retribution.
Inside Twitter, staff are using the additional time to conduct a postmortem on the launch, trying to understand why impersonations of high—profile individuals and brands spiraled out of control, according to a person with knowledge of the internal discussions who spoke on the condition of anonymity for fear of retribution. Read more...
The mathematical operation of multiplying two matrices is the cornerstone of digital systems. Almost any data type that can be tokenized or encoded into a multi-dimensional representation of numbers will require some matrix multiplication. Image processing and computer vision applications benefit tremendously from efficient matrix operations.
Innovations in AI have made it possible to discover novel algorithms for this fundamental task. AlphaTensor, developed by Google’s DeepMind research group, has brought innovations to the 50-year-old mathematical challenge of finding the fastest ways to multiply two matrices.
The most famously taught mechanism for multiplying two matrices is using the dot product of rows and columns. The problem with this approach is that there is no guarantee that it will be optimal for every matrix pair; i.e., there may exist faster ways to multiply two matrices than those that use the dot product alone. AlphaTensor was able to discover these faster algorithms for all possible pairs of matrices given certain constraints on their dimensions, sizes and shapes—a significant breakthrough in computer science research! Read more...
The global Artificial Intelligence in Cybersecurity market is expected to grow from 14590 million in 2022 to 240378.43 million in 2033 at a compound annual growth rate (CAGR). Artificial Intelligence In the Cybersecurity market is expected to grow at a compound annual growth rate (CAGR) of 26.3%.
The report provides an overview of the global Artificial Intelligence in Cybersecurity market. It includes an analysis of the key drivers and challenges for this market. The report also analyzes the competitive landscape for leading companies operating in this market, along with their company profiles. The report also presents forecasts for the global Artificial Intelligence in Cybersecurity market from 2019-2023.
The need for AI-based security solutions is rising due to increasing cybercrime activities and sophisticated threats posed by hackers and malware creators. The increasing number of malware attacks on organizations, government agencies, critical infrastructure, and individuals has led to an increased demand for AI-based security solutions that can detect such attacks before they cause damage or loss of business data. This has led to a rise in demand for AI-based security solutions globally over the past few years.
The major players operating in this market include IBM (US), Google (US), Microsoft (US), Amazon Web Services (AWS) and more. Read more...
It was a spectacular turn of events in under two weeks.
The implosion of Sam Bankman-Fried’s crypto exchange sent the wealth of its founder and CEO—Zhao’s archrival—into free fall as $15.5 billion of Bankman-Fried’s wealth evaporated in days. Countless FTX investors and customers have little hope of recovering their funds soon, if ever. On Friday, FTX declared Chapter 11 bankruptcy, and it is possible that SBF (to use Bankman-Fried’s moniker) could do prison time in the U.S. for committing wire fraud, if authorities find that he used customers’ money to plug his ballooning corporate debts.
Contrast that to Zhao. Binance’s chief executive is now worth an estimated $17.7 billion (down from $77 billion in March, thanks to the crypto market’s drubbing in the months since). With FTX obliterated, Zhao’s five-year-old company has for the moment crushed its closest competitor, trading about $13.56 billion of coins and tokens in the latest 24-hour period, in comparison with FTX’s zero.
CZ has cast himself as the responsible straight shooter within crypto’s Wild West. He cultivates ties with politicians and philanthropists, and bails out troubled competitors. Raised in China and Canada, Zhao, 45, has seemed an enigmatic outsider to many business leaders, at least in the U.S. He has few deep ties there, and his trading business has regularly been suspected of failing to block sanctioned companies.
Now the FTX blowout has handed CZ a rare gift: the chance to reframe himself as the leader the industry needs in order to dig itself out of the morass. Read more...
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