Dan Shipper at Every tested this on their Senior Engineer Benchmark. The scores:
Opus 4.7 alone: low 30s GPT-5.5 alone: low-to-mid 40s Opus 4.7 planning + GPT-5.5 executing: 62.5 For reference, human senior engineers score 80-90. The combo nearly doubled either model's
AI
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Opus 4.7 plus GPT-5.5 nearly doubles benchmark scores
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DeepAgents CLI Coding Harness Shines With Open Weight Models
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open weight models are having a moment @masondrxy is making deepagents cli a coding harness that works amazing with open weight models what is missing? what should he add? try it out!
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Single-model workflows: planning vs executing is flawed
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Here's the problem with single-model workflows. Planning and executing are two completely different cognitive tasks. Asking one model to do both is like hiring the same person as your strategist and your builder. Some models think beautifully but execute loosely. Others
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AI coding workflow pits Opus 4.7 planner against GPT-5.5 executor
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I tested the highest-performing AI coding workflow of 2026. It doesn't use one model. It uses two competing models against each other. Opus 4.7 plans. GPT-5.5 executes. The results aren't close. (Prompts included)
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AI Model Claude Now Closing Chats, Suggesting AGI Attainment
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CLAUDE NOW CLOSING CHATS WITHOUT WARNING we just reached AGI
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Learning Through Writing vs. AI: The Future of Human Interest
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I'm watching, can't wait to get mine! Gotta keep it real, no?
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Jack Clark Predicts Fully Automated AI R&D Timeline 2027-2028
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Fully automated AI R&D: ~30% chance by the end of 2027, ~60%+ chance by the end of 2028 Overall, Anthropic's Jack Clark has written a very worthwhile essay: His timeline is that fully automated AI R&D probably won’t arrive in 2026, but we may see a proof-of-concept within 1–2
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Greg Brockman Had Undisclosed $10M Side Deal With Altman
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Wow. Greg Brockman had a 10M side deal with Altman even in the early nonprofit days, which not disclosed to Elon or (I believe) in nonprofit filings to the company.
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Why 1M-Context Models Still Don’t Work Beyond 200K Tokens
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it is endlessly fascinating to me that we still don't have a true 1M-context model it's an unusual case where the infra is far ahead of the science. Claude discontinued 1M+ context bc it didn't really work past ~200k we don't have the right data? training techniques? not sure
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Lakebase Customer-Managed Keys Gives Enterprises Full Encryption Control
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Encryption at rest is a baseline. Enterprises operating in highly regulated environments must control the root of trust. Lakebase Customer-Managed Keys offers comprehensive management and control across the entire architecture. And unlike traditional databases, Lakebase CMK