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System-Call Models for Background Execution

Explores novel model architectures built specifically for programmatic function calling and long-running background tasks.

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Parag Agrawal Diogo Almeida Henry Yin Richard Socher Steven Sinofsky Nikunj Handa

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Oct 24, 2026

Sourcery AI Agents Could Drive 10,000x More Web Activity | Former Twitter CEO

Parag Agrawal Agrawal’s next demand thesis is that “the web will go from pull to push.” Today’s always-on agents remain mostly reactive; he expects agents to monitor changes and act on users’ explicit and implicit needs. Across …

Oct 3, 2026

Moonshots Recursive's $670M Bet on Self-Improving AI, Sonnet 5.5 Hits 70%, Elon Co-Leads Pentagon Push EP 299

Richard Socher Fast decision models may prove as economically consequential as increasingly elaborate reasoning systems because they collapse the cost of organizational micro-coordination. TypeSafe AI’s Jev returns categorical, numerical, or binary decisions quickly for tasks such as routing tickets, approving exceptions, or …

Oct 2, 2026

晚点聊 LateTalk 183: AI Quarterly 26Q3 with Henry: Muse Ignites Personal Assistants, Astra Enters Robotics, OpenAI Revenue Surges

Henry Yin JEV and GPT Live 1 represent 2 new foundation components: natural-language judgment and persistent voice collaboration. JEV turns natural language into an “if” statement that can be written directly into software at $0.042 per million input tokens and 70–500 …

Sep 30, 2026

Latent Space Inside OpenAI DevDay: Superhuman Computer Use, Decisions API, and the AI Cloud — Ari & Nikunj

Nikunj Handa OpenAI’s Decisions API responds to Jev and shows how quickly a new AI product category can be absorbed by a frontier lab. Nikunj Handa said it was “not at all” on the table four weeks earlier; user requests and internal teams prompted inference and …

Sep 26, 2026

The a16z Show Why AI’s Next Breakthroughs Could Come from Outside the Big Labs

Steven Sinofsky The episode’s most bullish technical call is that the next software breakthrough may happen outside the frontier labs. The Jevons-style option-selection model discussed near the end replaces expensive free-form generation with fast, cheap probabilities over …

Sep 21, 2026

Latent Space From InstructGPT to Jev: What Comes After ChatGPT — Diogo Almeida, TypeSafe Co-founder & CEO

Diogo Almeida Diogo Almeida's Jev launch is a bet on a new model class — "System One" or "large programmable" models where "the goal is for code to be the consumer," not chat. Unlike RLHF ("please humans") or RLVR ("optimize benchmarks"), TypeSafe's task, which he calls RLCD, targets reliability for programmatic …
Latent Space Adoption looks real, not touristy: in less than a week Jev passed 1 trillion tokens per day, "even at night... constantly churning, so you know machines are calling it." Waitlist signups "don't matter for a developer platform"; the scarce resource is …
His mode-dropping argument explains why long-string error intuitions do not straightforwardly apply to RLHF-shaped models. Calibrated, mode-covering models would include outliers; GAN-like mode dropping instead removes minority outputs and makes generation …

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AI Inference Cost Optimization Personal AI Assistants Adoption and Monetization Frontier Scaling Laws and Superintelligence

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