@sriramk
http://sriramk.com
AI
He calls for open technology platforms for startups and fears a future controlled by five AI “kings.”
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The creator says an agent uses jev to classify activity and notifications in real time and act on them.
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Mirendil pitches its first model for auditing AI training data and debugging training runs from logs.
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Zhan says Sequoia, Jeff Dean, Sachin Katti and Philip Wong will be among the fund’s limited partners.
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Co-founder Kevin Weil says robotic labs will generate data to train AI models for science.
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OpenEvidence says it worked with Memorial Sloan Kettering Cancer Center to build OncoKB into its platform.
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The @flappyairplanes account names Index and Lux as co-leads and says the team spent a year on GPU primitives.
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Applied Compute says its AC2-trained router cuts Astra costs by 55% without a noticeable quality drop.
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A user says it opens websites, fills out forms and connects to Gmail, Calendar, Notion, Drive and X.
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A user compares AI agents to voices layered over consciousness, then jokes about meditating both away.
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Satya Nadella argues organizations should control what models can access and do, with safeguards outside the models themselves.
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Igor Babuschkin claims fine-tuned open-weight models can beat GPT-6 Astra and Claude Opus 5.5 for under 1% of the cost.
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Microsoft said GitHub Copilot will soon route some tasks to local models on Windows and others to cloud-scale models. The company tied that plan to its broader “hybrid intelligence” push, while separately saying MXC sandboxing is now generally available on Windows 11.
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National Compute says .edu, .mil and .gov email holders can sign in, while others can join a waitlist.
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A poster says parts of the US government need technical expertise, especially around AI, and offers to make introductions.
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On X, Sriram Krishnan said a side effect of math work solved by leading models was exposure to Lean for formal proofs. He added that he had not realized how broadly Lean had been adopted in the math community over the last decade.
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Reflection says Beam uses 23B active parameters and plans to publish its full weights later in October 2026.
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One user wants fine-grained security, clearer views of AI activity and independent agents to check AI results.
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One observer says service integration and small UX touches matter more to them than the model powering an agent.
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Future macOS controls will require very explicit user action before an app receives broad system access.