SevenTnewS

Features

In-depth special reports combining feature, analysis, interview and profile reporting.

9 published features

Featured4 min read

Special Report

The quietest shift in enterprise AI this year is a bet that agents work better in packs

OpenAI launches workspace agents: persistent, cloud-based AI workers that run across ChatGPT and Slack, handle multi-step workflows, and share context across teams. Free until May 6, 2026, then credit-based. A structural shift from GPTs to organizational AI.

2026-07-11

Featured3 min read

Grok 4.5

Cursor's Grok 4.5 was built by AI agents, not humans. That's the real story.

Cursor's Grok 4.5 is a Mixture-of-Experts model built using reinforcement learning in environments created by earlier AI agents, not humans. It handles complex, long-duration tasks across software engineering, data science, finance, and law, and it's available now.

2026-07-10

7 min read

Special Report

Meta AI's open-source bet just broke the business model of its rivals

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 debate that won't fade.

2026-07-10

Featured6 min read

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

5 min read

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

Featured4 min read

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

Featured6 min read

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

Featured4 min read

Semi-autoregressive speculative decoding hits production

DeepSeek's DSpark just fixed the two things that held back faster 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

Featured5 min read

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