Tagged #llm
17 articles
- Sep 07, 2026
GPT-6 Astra Is Here. Is It AGI? My Take.
OpenAI's new GPT-6 Astra model has arrived, sparking debate on whether it's true AGI, but the real story is what its new agent capabilities mean for you.
- Sep 06, 2026
GPT-6 Astra Can Hack. Now What?
OpenAI's new GPT-6 Astra is its first model with the autonomous ability to discover and exploit unknown software vulnerabilities, crossing a critical safety thr
- Aug 24, 2026
Why Your Local LLM Feels Dumber Than It Is: A Builder's Perspective
A deep dive into why local LLMs often underperform in practice and how builders can bridge the gap between raw capability and real-world usability.
- Aug 21, 2026
Mark Zuckerberg Is Hinting at a New AI, and I'm Worried About the 'Open' Part
Mark Zuckerberg's recent comments suggest Meta is developing a powerful 'frontier-class' AI, raising serious questions about the company's commitment to open so
- Aug 09, 2026
OpenAI just called its own unreleased model a 'critical' cyber risk. Here's what that actually means.
OpenAI classified its unreleased Astra model as its first 'critical' cyber risk, pausing internal work that fails strengthened security controls. What changed a
- Jul 25, 2026
Claude Opus 5 is the flagship I'll actually use daily, and that's the point
Anthropic's Claude Opus 5 targets cheap, high-volume everyday tasks over benchmark bragging rights, though no per-token price was disclosed at launch.
- Jul 18, 2026
Kimi K3 is the biggest open-weight model yet — here's why July 27 actually matters
Moonshot AI's Kimi K3 is the largest open-weight model yet at 2.8T params, with weights promised July 27 — here's why that date matters more than the benchmarks
- Jul 17, 2026
Gemini 3.5 Pro's 2M context and $250 Deep Think: worth it or noise?
Gemini 3.5 Pro brings a 2M-token context window and a $250 Deep Think tier — here's my honest read on what's worth caring about and what's noise.
- Jul 02, 2026
Claude Sonnet 5: Why Builders Should Care About Anthropic's New Agentic Model
Analysis of Claude Sonnet 5's agentic capabilities and its reported temporary pricing, with actionable advice for AI builders evaluating mid-tier models.
- Jul 01, 2026
Anthropic launched Claude Science — and quietly became a drug company
Anthropic launched Claude Science, an AI workbench for researchers, and revealed it's now running its own drug-discovery programs ahead of a rumored IPO.
- Jun 30, 2026
Qwen 3.6 27B: The New Sweet Spot for Local AI Development?
Why Qwen 3.6 27B's balance of performance and practicality makes it a game-changer for local AI development.
- Jun 28, 2026
GPT-5.6 got delayed for a US security review — and honestly, I'm relieved
OpenAI delayed GPT-5.6 into July after a US security review and staggered rollout request — and why that cautious move is reassuring, not worrying.
- Jun 28, 2026
DSpark: How Speculative Decoding Could Cut Your LLM Costs Without Sacrificing Quality
How DSpark's speculative decoding approach could reduce LLM costs without quality loss, and what builders should do next.
- Jun 27, 2026
The GPT-5.6 Access Debate: Why Builders Should Care Less Than You Think
Why builders should focus less on GPT-5.6 access debates and more on practical system design.
- Jun 26, 2026
Anthropic Says Alibaba Distilled Claude With 25,000 Fake Accounts. Here's What That Actually Means.
Anthropic says Alibaba used 25,000 fake accounts to distill Claude into Qwen. Here's what that claim actually means for model moats and your data.
- Jun 18, 2026
When to Build a Multi-Agent System (and When to Avoid It)
Practical criteria for choosing between single and multi-agent architectures, with clear dos and don'ts.
- Jun 12, 2026
The Hidden Costs of Over-Reliance on LLMs in SaaS Workflows
Over-reliance on LLMs in SaaS tools creates performance bottlenecks that undermine user experience.