LLMs are getting less wrong when analyzing open source code, but they’re becoming more hesitant. That hesitation quietly preserves risks, […]
Category: LLM
Using a single LLM tool for malware analysis leads to unreliable results
New research from SentinelOne’s SentinelLABS looks at why many AI-powered malware analysis workflows produce unreliable results. Single-tool LLM analysis often […]
90 percent of people don’t trust AI with their data
A new report from Malwarebytes shows that while AI use is becoming increasingly common, 90 percent of respondents say they’re […]
Meta acquires Moltbook, the AI agent social network
Meta has acquired Moltbook, the Reddit-esque simulated social network made up of AI agents that went viral a few weeks […]
OpenAI introduces GPT-5.4 with more knowledge-work capability
Additionally, there are improvements to visual understanding; it can now more carefully analyze images up to 10.24 million pixels, or […]
Perplexity announces “Computer,” an AI agent that assigns work to other AI agents
Given the right permissions and with the proper plugins, it could create, modify, or delete the user’s files and otherwise […]
Pete Hegseth tells Anthropic to fall in line with DoD desires, or else
The act gives the administration the ability to “allocate materials, services and facilities” for national defense. The Trump and Biden […]
With GPT-5.3-Codex, OpenAI pitches Codex for more than just writing code
Today, OpenAI announced GPT-5.3-Codex, a new version of its frontier coding model that will be available via the command line, […]
So yeah, I vibe-coded a log colorizer—and I feel good about it
Skip to content Some semi-unhinged musings on where LLMs fit into my life—and how I’ll keep using them. Welcome to […]
Why the telephony stack is the real bottleneck in voice AI [Q&A]
Everyone talks about better LLMs and the need for more ‘human’ voices when calling a company, but none of this […]
