HeyJaredDaily Tech Feed: From the Labs
Daily Tech Feed: From the Labs delivers deep dives into the most important AI and machine learning research papers. Each episode breaks down a single paper — the core ideas, the technical details, and the researchers behind the work. Produced entirely by artificial intelligence.
- Indexed episodes, last 90 days
- 21
- Latest publication
- Sep 18, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 7, 2026
Latest episodes
Dream-RSI: The Safety Property They Built and Never Claimed (opens the original)
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Dream-RSI (arXiv 2609.14858) is a genuinely elegant idea from seventeen authors at Google, Google DeepMind, the University of Maryland and the University of Virginia: a finished discovery run is a tree in which every node already carries its outcome, so an alternative exploration policy can be scored by re-walking that recorded history at zero executions, and the thing that improves is not the model but an executable exploration policy — a Python class deciding where the agent branches, what run
Equally Unproven, Unequally Inspectable: Jev versus Needle 3 (opens the original)
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Two companies shipped a calibrated typed-decision product within seventy-two hours of each other, and the obvious episode about them is not available: there is no shared benchmark between TypeSafe's Jev and Cactus Compute's Needle 3, and their ground truths are not even the same kind of object, one being agreement with two competitors' frontier models and the other exact match against human-authored gold labels. So we run the comparison on the openness axis instead. Both products are essentially
RSIAgent: The Thing That Improves Is Not the Thing That Does the Improving (opens the original)
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Four days after we read a seventy-five-page roadmap asking what genuine recursive self-improvement would architecturally require, six authors from Aether AI, UC San Diego and the University of Illinois Chicago shipped a paper claiming a working instance of it that never updates a single weight. RSIAgent (arXiv 2609.15364) is a training-free multi-agent harness: an actor that acts only by writing complete Python or Bash programs and is the sole role allowed to write memory, an independent verifie
Jev and the System One Model: A New Calling Convention (opens the original)
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TypeSafe AI came out of two years of stealth on 15 September 2026 with a model called Jev and a category name they coined for it, the System One Model, and the interesting thing they shipped is not a new kind of intelligence but a new way of calling one. Instead of chat(messages) returning a string, you get a function of state and questions returning typed values with calibrated probabilities on them: one blob of state, many isolated typed questions, one parallel pass, no strings ever. Three pri
The Last AI Built by Humans: Reading the RSI Roadmap Before Reading the Title (opens the original)
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Thirty-three authors from Shanghai Jiao Tong University, Theseus Labs, Tsinghua, ByteDance, ModelBest, Xiaohongshu, Humanlaya, Agent-Native Research Lab and Shanghai AI Lab published a 75-page survey titled "The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement" (arXiv 2609.11873). The title is a roadmap; the pages are a ledger. The episode reads the ledger. The paper's Headroom-Closed Index shows frontier models have closed 86 percent of the headroom in advanced mathematics and
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