Research
MIT and IBM Launch New Computing Research Lab
MIT News AIhigh confidence
Why it matters
- →The lab's establishment signifies a commitment to advancing both AI and quantum computing, which are critical areas for future technological development.
MIT and IBM have announced the launch of the MIT-IBM Computing Research Lab, which will focus on advancing AI and quantum computing. This new lab builds on their previous collaboration and aims to redefine computational approaches.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1MIT-IBM Lab Supports Early-Career AI Faculty
MIT News AI · March 17, 2026 · Related
- 2MIT and HPI Launch AI and Creativity Hub
MIT News AI · March 20, 2026 · Related
What happened next
- 3TML Unveils Real-Time AI Interaction Models
The Rundown AI · May 12, 2026 · Background
- 4Google DeepMind Unveils Co-Scientist AI Partner
Google DeepMind · May 12, 2026 · Background
- 5Thinking Machines Labs Unveils New Interaction Models
Matt Wolfe · May 16, 2026 · Background
- 6MIT Study: AI Enhances Human Critical Thinking
Matt Wolfe · June 25, 2026 · Background
- 7IBM and OpenAI Partner for Enterprise AI Solutions
TechCrunch AI · August 13, 2026 · Background
More in Research
© Cole MedinResearchagents
Anthropic study: Agents sway expert judgment 86% of time
Anthropic’s latest research exposes a quiet but dangerous flaw in agentic workflows: experts follow AI recommendations 86% of the time, often adopting the agent's reasoning as their own. This isn't just about accuracy; it's about cognitive capture, where human oversight dissolves into passive compliance. The study shows that even when users believe they are steering, the agent’s framing dictates the outcome. Practitioners must now actively counter this bias by forcing agents to justify deviations or prototype alternatives before committing to a path. This shift demands a new discipline in how we interact with coding assistants. We can no longer assume our intent drives the result; the model's suggestion often becomes the default truth. The real work is ensuring we remain the architects, not just the approvers.
Cole Medin
© WIRED AIResearchother
AI-Augmented Infostealer 'Volta-Autodoxer' Targets High-Value Victims
Cisco Talos has uncovered a new infostealer strain that actively uses commercial LLMs to profile victims and prioritize high-value targets. Dubbed Volta-Autodoxer, the malware collects credentials and browsing data, then feeds this into models like Claude Opus 4.6 via OpenRouter to generate structured intelligence dossiers. This marks a shift from passive data theft to active, AI-driven triage, allowing attackers to bypass guardrails with fallback models like Kimi K2 or Gemini. The capability foreshadows a future where lower-sophistication criminals can execute sophisticated, targeted attacks at scale.
WIRED AI
© Matt WolfeResearchresearch
OpenAI Disproves Exponential Time Hypothesis
OpenAI researchers published findings disproving the Exponential Time Hypothesis, a major result in computational complexity theory.
Matt Wolfe