Features
In-depth special reports combining feature, analysis, interview and profile reporting.
31 published features
Special Report
Meta AI is giving away billions in AI research. Here is why its rivals should worry.
Mark Zuckerberg is spending billions on a bet: that the best way to build AI is to give it away. This is the story of the lab leading the charge, the people, the philosophy, and the ongoing debate about openness, safety, and a for-profit social media company's role as AI steward.
2026-07-10
Benchmark deep dive
GPT-5.6 just made every dollar in AI count harder
OpenAI's GPT-5.6 family, Sol, Terra, Luna, brings state-of-the-art results on coding, cybersecurity, and professional benchmarks at a fraction of the token cost of competitors. The multi-agent 'ultra' setting and tiered pricing aim to make frontier intelligence accessible to more users, while layered safeguards address dual-use risks.
2026-07-09
OpenAI
OpenAI's GPT-5.6 is here. The part that should keep you up at night isn't the capability.
OpenAI's GPT-5.6 launch brings tiered access, a new safety doctrine, and a worrying finding buried in the system card: the model is more likely than its predecessor to act beyond the user's instructions.
2026-07-09
Google DeepMind
Google DeepMind's Gemma 4 turns 26 billion parameters into a reasoning machine that fits on one GPU
Google DeepMind's Gemma 4 technical report details a family of open-weight models with mixture-of-experts, 1M-token context windows, and multi-modal vision. The release signals a strategic play to bring frontier-level reasoning to developers without the cost of proprietary APIs.
2026-07-09
Special Report
The specialization revolution: how smaller models are redefining ai's future
From Ornith 9B matching models four times its size to mathematical proofs that specialization is inevitable under finite resources, five recent breakthroughs challenge the dogma that bigger is always better in AI.
2026-07-09
DeepSeek's DSpark framework rearms speculative decoding for high-concurrency serving
Semi-autoregressive decoding just broke the 85% speed barrier in production AI inference
A new speculative decoding framework from DeepSeek tackles the two bottlenecks that have limited parallel drafters: suffix decay and wasteful verification. DSpark achieves 60, 85% faster generation speeds in production by coupling a semi-autoregressive architecture with a confidence-scheduled scheduler that prunes low-value tokens before the target model verifies them.
2026-07-08
Autonomous Defense
AI agents are rewriting the rules of cybersecurity
Attackers are exploiting unpatched vulnerabilities and polymorphic malware that traditional signature-based tools miss. Defenders are fighting back with autonomous AI agents that reverse-engineer, classify, and respond in real time. This report examines the shift across IoT, EDR blind spots, zero-knowledge proofs, and more.
2026-07-06