Google Gemini 2.5 Pro tops coding benchmarks and delivers usable 1M token context window
Google just shipped Gemini 2.5 Pro, and the benchmark numbers are hard to ignore.
It’s sitting at the top of the LMSys leaderboard for coding tasks,
Google just shipped Gemini 2.5 Pro, and the benchmark numbers are hard to ignore.
It’s sitting at the top of the LMSys leaderboard for coding tasks,
Google just shipped Gemini 2.5 Pro, and the benchmark numbers are hard to ignore.
It’s sitting at the top of the LMSys leaderboard for coding tasks,
Google just shipped Gemini 2.5 Pro, and the benchmark numbers are hard to ignore. It’s sitting at the top of the LMSys leaderboard for coding tasks, outperforming GPT-4o and Claude 3.7 Sonnet on several software engineering benchmarks. On SWE-bench Verified, it’s hitting numbers that weren’t realistic from any model twelve months ago. But here’s what…
Career-Ops: The Engineer Who Turned Job Hunting Into a Systems Problem Most people treat a layoff like a weather event. Something that happens to you, that you wait out. You polish the resume, open LinkedIn, and start clicking Apply on anything that looks plausible. Three months later you’ve sent out 200 applications and heard back…
Netflix VOID: Object Removal Was the Easy Part Every few months a video AI tool drops that makes editors collectively exhale. Netflix’s VOID is one of those tools. But it’s not doing what you think it’s doing, or rather, it’s not stopping where most tools stop. The headline is object removal from video. Point at…
AI agents forget everything. Every session, every time, no matter how capable the model. That’s not a model problem. It’s an architecture problem, and most people are solving it with the wrong tool. I’ve been wiring Microsoft GraphRAG into my OpenClaw agent as a persistent memory layer, and the difference in how the agent actually…
I gave my AI assistant a memory. Here’s what it knew about me. For months, my AI assistant woke up every session with no idea what we’d done the day before. I’d ask about a project we’d built together and get a polite “I’m not sure what you’re referring to.” We’d spent hours on it….
The New Yorker Just Asked the Question Nobody Inside OpenAI Would Ronan Farrow and Andrew Marantz spent 18 months on a single story. They reviewed more than 200 pages of internal documents, including private memos from people who worked directly with Sam Altman, and interviewed over 100 sources. The result landed in The New Yorker…
The Hidden Cost of AI Scaffolding Debt Most AI engineering conversations are about what to build next. The more interesting question, the one almost nobody is asking, is what to stop building. I keep running into the same pattern. Teams spend weeks on custom orchestration layers, elaborate prompt chains, multi-step retrieval pipelines. Real engineering hours….
The Shareable Unit Just Changed Something Andrej Karpathy posted last weekend has been sitting with me, and I think most of the commentary around it missed the actual point. He shared a gist describing how he’s been using LLMs to build personal knowledge bases, and that part got plenty of attention. But the line that…