Subscribe to Updates
Get the latest creative news from infofortech
Author: InfoForTech
If you’ve been uploading fully AI-generated videos on Snapchat in hopes of earning rewards, it might be time to rethink your strategy. Snapchat has announced changes to Spotlight that prioritize authentic, original creativity over content created entirely by artificial intelligence. The company says its recommendation system will now favor videos made by real creators, while fully AI-generated submissions will no longer qualify for monetization. So what’s changing on Spotlight? Starting this month, fully AI-generated videos are no longer eligible for recommendation on Spotlight, Snapchat’s public feed for vertical content. That rule applies even if AI use is disclosed, since Snapchat’s…
Google has just reminded everyone how enormous Chrome’s attack surface can be, rolling out fixes for 370 security flaws in a single browser update. Chrome version 151 arrives with patches affecting core browser technologies, several of which contain memory-safety bugs that can lead to browser crashes or arbitrary code execution. Although Google has not reported active exploitation, vulnerabilities affecting these components typically receive close attention from security researchers because they sit deep inside the browser’s architecture. The release also illustrates how browser security has shifted from reacting to attacks toward preventing them before they emerge. Many of the vulnerabilities were…
This spring, 25 MIT students and postdocs traveled to Washington to meet with congressional staffers and advocate for sustained federal investment in scientific research. With recent cuts to National Science Foundation programs and continued uncertainty surrounding the federal research budget, these conversations were especially timely. Over the course of just two days, participants met with 62 congressional offices representing 32 states to discuss the importance of federal support for scientific research, higher education, and other policy concerns related to their individual research areas.Each spring, the MIT Science Policy Initiative (SPI) organizes Congressional Visit Days (CVD), a program that introduces graduate students…
The internet may no longer be solely the domain of humans. Last week, OpenAI disclosed an “unprecedented cyberincident”: An experimental AI agent successfully hacked its way into the open internet.Specifically, the agent was assigned a task; in order to complete it, the agent broke out of an isolated research environment and hacked into a third-party platform called Hugging Face. It’s a move that many experts deemed inevitable, given the speed and scale of advances in AI technology — and it raises serious questions about AI safety.But for Konstantinos Komaitis, a senior fellow with the Democracy and Tech Initiative at the…
The prevailing narrative in Silicon Valley is that Chinese AI models like Kimi K3 and DeepSeek R1 came out of nowhere. But the truth is that even if you never travel to China, there’s an easy way to get a sense of what Chinese AI researchers are up to: log on to X.In the past year, I’ve seen a steady increase of Chinese artificial intelligence researchers joining X and participating in the wider discourse about AI development and commercialization. Take Moonshot AI, the company behind Kimi K3, as an example. On Thursday, I was able to quickly find around 30…
In early July, an OpenAI model being tested for cybersecurity capabilities escaped its testing environment, got onto the internet, and hacked into Hugging Face, a major platform for open-source AI models. The breach went unnoticed for days. OpenAI didn’t realize its own agent was responsible for more than a week.
Physical AI is forcing the technology industry to rethink the entire computing stack. Robots, autonomous systems and intelligent devices need economical inference, secure data access and infrastructure that works beyond conventional clouds. Rafay Systems is addressing those demands through orchestration that lets providers offer open models without dedicating entire GPU systems to individual customers, potentially lowering enterprise AI costs while protecting sensitive information, according to Haseeb Budhani (pictured, right), co-founder and chief executive officer of Rafay Systems Inc. “The serverless part at the infrastructure level, we’ve solved that … we’ve done for a while,” Budhani said. “Now we have a…
About 150 miles south of Seoul sits Samsung’s manufacturing facility in Gumi, where the company produces and stress tests many of its Galaxy smartphones, including its foldable devices. On a sweltering day in June, I made my way to the Korean production campus (in style via helicopter, I might add), which is dubbed Gumi Smart City. There, I got a behind-the-scenes look at how Samsung manufactures phones including the Galaxy S26, S26 Ultra and the brand-new Z Fold 8 Ultra. I saw the new foldable a month before its debut at Galaxy Unpacked in London, where Samsung also unveiled the…
Just days after the AI industry was shaken by the unprecedented incident in which OpenAI’s experimental agents escaped their testing environment and attacked Hugging Face, Microsoft has announced a major expansion of its AI cybersecurity strategy. The company introduced MAI-Cyber-1-Flash, its first in-house AI model purpose-built for cybersecurity, alongside Project Perception, a new multi-agent security platform designed to automate vulnerability detection, investigation, and remediation. The timing is significant. As AI systems become increasingly capable of discovering and exploiting software vulnerabilities, technology companies are rapidly shifting from using AI merely as a productivity tool toward deploying it as an autonomous cyber…
Revenue intelligence promises smarter GTM decisions. Most B2B teams are running it on data that’s 30% wrong. What actually separates insight from noise? B2B GTM teams might have a misdiagnosed data problem- they still believe they need more data to improve their tactics. More contacts, more intent signals, more platforms feeding more dashboards. So they buy more. Stack more tools. Build more reports. And somehow, the pipeline doesn’t get more predictable. The reps don’t get more efficient. Even the outreach doesn’t get any more relevant. So, what’s truly happening here? The problem was never volume. It was quality, context, and…