Legacy retail tech stacks are a budget drain, with technical debt eating up to 40% of IT balance sheets. A new wave of modular, unified platforms promises to consolidate operations and free up resources for innovation instead of maintenance.
For years, cloud-based HPC and AI workloads could easily get managed Lustre file systems, but IBM’s GPFS was a DIY project. Now, services firm Sycomp has packaged GPFS into a managed “Infrastructure as Code” offering for Google Cloud and Microsoft Azure, automating many of the complex operations.
Despite mounting evidence that AI investments aren’t generating returns, CEOs are planning to spend even more. A survey of over 350 public-company CEOs reveals a stark disconnect between spending plans and financial results. This comes as fears of an AI bubble grow louder.
According to a portfolio manager at $35 billion Gabelli Funds, there are two kinds of market bubbles: earnings-driven and valuation-driven. He argues the current AI boom doesn’t fit either category, pointing to lower P/E ratios than the dot-com era and growing commercial use cases.
SoundCloud has confirmed a cyberattack that impacted about 26 million users. The company’s response accidentally caused connectivity issues for some VPN users, leading to confusion.
A Stanford spinoff called EraDrive just raised $5.3 million to develop hardware-software kits that make satellites autonomous. They’re pitching it as the key to managing thousands of satellites in orbit. It’s a bold vision with some serious hurdles.
Researchers have finally visualized the hidden activation mechanism of the T cell receptor. The discovery, likened to a “jack-in-the-box,” overturns previous models and points to new ways to engineer better cancer treatments.
The biggest hurdle in many companies isn’t technical skill—it’s communication. Executives are often left in the dark by teams speaking a different language. The fix is simpler than you think.
Anthropic’s chief scientist, Jared Kaplan, warns humanity is approaching a critical fork in the road with AI. He says by 2030, or as early as 2027, we’ll have to decide whether to let AI models train themselves, a move that could unlock incredible benefits or spiral beyond our control.
Apple is facing another antitrust probe, this time in Switzerland. The investigation focuses on whether Apple’s commercial terms for iPhone NFC access unfairly hinder rivals to Apple Pay.
