#AI research

Articles tagged with AI research

8 articles

A developer's workspace with multiple monitors showing code editors, one screen displaying AI suggestions alongside traditional code, modern office setting with warm lighting

August 9, 2026

8 Myths About AI Coding Tools That New Research Just Killed

A new paper finds 80% of developers use AI tools but only 29% trust them. Here are the eight assumptions the research says are wrong, and what actually matters.

AI coding toolsdeveloper productivityAI research

An abstract editorial illustration of a text-based world emerging from a Transformer architecture, with layers of language forming a distinct cognitive landscape separate from human brain imagery.

LLM Research & News

July 21, 2026

What Is an LLM, Really? The 'Machine Experientialism' Framework That Could End the Biggest Debate in AI

A new Nature paper argues our entire understanding of LLMs is built on flawed human metaphors — and proposes a radical alternative called machine experientialism that reframes how we think about AI cognition.

LLMAI cognitionmachine experientialism

An editorial illustration showing an AI neural network tangled in its own thought chains, with glowing reasoning paths that loop back on themselves and a simple correct answer sitting just out of reach, rendered in deep indigo and warm amber tones

LLM Research & News

July 10, 2026

LLMs Can Think Too Much — And It's Making Them Wrong

The AI field spent two years proving that longer reasoning chains produce better answers. Now a wave of new research shows the opposite: beyond a certain point, more 'thinking' actively degrades performance. The overthinking problem is real, measurable, and it's forcing a rethink of how we deploy reasoning models.

LLM reasoningtest-time computeoverthinking

Abstract editorial illustration of brain waves transforming into text on a screen, with flowing MEG signal patterns and glowing neural connections, clean tech aesthetic in deep blue and warm gold

LLM Research & News

July 4, 2026

Meta's Brain2Qwerty v2 Reads Thoughts Without Surgery — And It's Getting Scarily Good

Meta's FAIR lab just released Brain2Qwerty v2, a non-invasive brain-to-text system that decodes typed sentences from MEG signals with 78% accuracy in its best subjects. Here's how it works and why it matters for the future of AI and human communication.

MetaBrain2Qwertybrain-computer interface

The Inference-Time Revolution: How Test-Time Compute Scaling Is Rewriting the Rules of LLM Intelligence

LLM Research & News

June 24, 2026

The Inference-Time Revolution: How Test-Time Compute Scaling Is Rewriting the Rules of LLM Intelligence

Pre-training scale isn't the only lever anymore. Test-time compute scaling lets models think longer at inference — and the results are reshaping how we measure AI capability.

test-time computeLLM reasoninginference scaling

General-Purpose LLMs Are Outperforming Specialized AI Tools — What That Means for Enterprise AI

LLM Research & News

June 16, 2026

General-Purpose LLMs Are Outperforming Specialized AI Tools — What That Means for Enterprise AI

A landmark Nature Medicine study shows general-purpose LLMs like Gemini and GPT now beat dedicated clinical AI tools on medical benchmarks. The pattern extends beyond healthcare — and it should reshape how companies think about building versus buying AI capabilities.

LLMAI researchmedical AI

Multimodal LLMs in 2026: The Race to Combine Text, Image, Audio, and Video Understanding

LLM Research & News

April 18, 2026

Multimodal LLMs in 2026: The Race to Combine Text, Image, Audio, and Video Understanding

The next frontier in AI isn't better text generation — it's models that seamlessly understand and generate across multiple modalities. From GPT-5's native vision to Gemini's audio processing, here's the state of multimodal AI.

multimodal AIGPT-5Gemini

Mixture of Experts: The Architecture Powering Every Major LLM in 2026

LLM Research & News

April 8, 2026

Mixture of Experts: The Architecture Powering Every Major LLM in 2026

An accessible deep dive into Mixture of Experts (MoE) — the architecture behind GPT-5, Claude Opus, and Gemini — explaining how it works, why it won, and what's coming next.

Mixture of ExpertsMoELLM architecture