The tweak addresses the fact that generative AI tools have been stuffed into just about every piece of software professionals use.
Category: robotics/AI
Is This The End of OpenAI?
Elon Musk’s lawsuit against OpenAI aims to expose the company’s alleged abandonment of its non-profit mission and potential shift to a for-profit model, sparking a heated dispute over the company’s future and integrity ##
## Questions to inspire discussion.
Understanding the lawsuit timeline and stakes.
🔍 Q: When is Elon Musk’s lawsuit against OpenAI going to trial and what is he claiming?
A: The lawsuit is set to go to trial in April 2026, with Musk arguing he’s owed billions from the value of intellectual property developed from his contributions as the primary funder who wanted OpenAI to remain nonprofit and open source.
📄 Q: What evidence exists in Greg Brockman’s personal files from 2017?
Why does AI being good at math matter?
This is the second time in recent months that the AI world has got all excited about math. The rumor mill went into overdrive last November, when there were reports that the boardroom drama at OpenAI, which saw CEO Sam Altman temporarily ousted, was caused by a new powerful AI breakthrough. It was reported that the AI system in question was called Q* and could solve complex math calculations. (The company has not commented on Q*, and we still don’t know if there was any link to the Altman ouster or not.) I unpacked the drama and hype in this story.
You don’t need to be really into math to see why this stuff is potentially very exciting. Math is really, really hard for AI models. Complex math, such as geometry, requires sophisticated reasoning skills, and many AI researchers believe that the ability to crack it could herald more powerful and intelligent systems. Innovations like AlphaGeometry show that we are edging closer to machines with more human-like reasoning skills. This could allow us to build more powerful AI tools that could be used to help mathematicians solve equations and perhaps come up with better tutoring tools.
StealC hackers hacked as researchers hijack malware control panels
A cross-site scripting (XSS) flaw in the web-based control panel used by operators of the StealC info-stealing malware allowed researchers to observe active sessions and gather intelligence on the attackers’ hardware.
StealC emerged in early 2023 with aggressive promotion on dark web cybercrime channels. It grew in popularity due to its evasion and extensive data theft capabilities.
In the following years, StealC’s developer added multiple enhancements. With the release of version 2.0 last April, the malware author introduced Telegram bot support for real-time alerts and a new builder that could generate StealC builds based on templates and custom data theft rules.
Kawasaki Corleo Robot Debuts at Osaka Expo 2026
In a bold showcase of futuristic design and green innovation, Kawasaki Heavy Industries has unveiled the Kawasaki Corleo robot—a hydrogen-powered, four-legged robotic ride—at the Osaka-Kansai Expo 2025. This revolutionary concept reimagines mobility by blending clean energy, robotics, and artificial intelligence into a rider-ready machine that can walk, adapt, and navigate across rugged terrains.
The Kawasaki Corleo robot walks on four independently powered legs, offering impressive stability and terrain agility that wheels often can’t match. Built with carbon fiber and metal, Corleo echoes the iconic DNA of Kawasaki’s motorcycle lineage—featuring sleek contours, aerodynamic symmetry, and a headlight faceplate that resembles a mechanical creature ready to roam.
At the heart of Corleo lies a 150cc hydrogen engine that generates electricity to drive its limbs—making it a clean energy alternative to gas-powered off-roaders. Ditching the conventional handlebars, the robot interprets a rider’s body movement to move forward, turn, or stop. A built-in heads-up display (HUD) provides live feedback on hydrogen levels, motion stability, and terrain tracking. This unique interface between biomechanics and artificial intelligence makes the Kawasaki Corleo robot one of the most immersive robotic riding experiences developed to date.
How Claude Reset the AI Race
Over the holidays, some strange signals started emanating from the pulsating, energetic blob of X users who set the agenda in AI. OpenAI co-founder Andrej Karpathy, who coined the term “vibe coding” but had recently minimized AI programming as helpful but unremarkable “slop,” was suddenly talking about how he’d “never felt this much behind as a programmer” and tweeting in wonder about feeling like he was using a “powerful alien tool.” Others users traded it’s so overs and we’re so backs, wondering aloud if software engineering had just been “solved” or was “done,” as recently anticipated by some industry leaders. An engineer at Google wrote of a competitor’s tool, “I’m not joking and this isn’t funny,” describing how it replicated a year of her team’s work “in an hour.” She was talking about Claude Code. Everyone was.
The broad adoption of AI tools has been strange and unevenly distributed. As general-purpose search, advice, and text-generation tools, they’re in wide use. Across many workplaces, managers and employees alike have struggled a bit more to figure out how to deploy them productively or to align their interests (we can reasonably speculate that in many sectors, employees are getting more productivity out of unsanctioned, gray-area AI use than they are through their workplace’s official tools). The clearest exception to this, however, is programming.
In 2023, it was already clear that LLMs had the potential to dramatically change how software gets made, and coding-assistance tools were some of the first tools companies found reason to pay for. In 2026, the AI-assisted future of programming is rapidly coming into view. The practice of writing code, as Karpathy puts it, has moved up to another “layer of abstraction,” where a great deal of old tasks can be managed in plain English and writing software with the help of AI tools amounts to mastering “agents, subagents, their prompts, contexts, memory, modes, permissions, tools, plugins, skills, hooks, MCP, LSP, slash commands, workflows, [and] IDE integrations” —which is a long way of saying that, soon, it might not involve actually writing much code at all.
