Microsoft Aims to Create Large Cutting-Edge AI Models By 2027
Microsoft Corp. aims to develop large, cutting-edge artificial intelligence models by next year, part of a push to build in-house alternatives to the most powerful AI tools from OpenAI and Anthropic.
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KernelEvolve: How Meta’s Ranking Engineer Agent Optimizes AI Infrastructure
This is the second post in the Ranking Engineer Agent blog series exploring the autonomous AI capabilities accelerating Meta s Ads Ranking innovation. The previous post introduced Ranking Engineer Agent s ML exploration capability, which autonomously designs, executes, and analyzes ranking model experiments. This post covers how to optimize the low-level infrastructure that makes those models run [...] Read More... The post KernelEvolve: How Meta’s Ranking Engineer Agent Optimizes AI Infrastructure appeared first on Engineering at Meta .
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[R] Solving the Jane Street Dormant LLM Challenge: A Systematic Approach to Backdoor Discovery
Submitted by: Adam Kruger Date: March 23, 2026 Models Solved: 3/3 (M1, M2, M3) + Warmup Background When we first encountered the Jane Street Dormant LLM Challenge, our immediate assumption was informed by years of security operations experience: there would be a flag. A structured token, a passphrase, a UUID — something concrete and verifiable, like a CTF challenge. We spent considerable early effort probing for exactly this: asking models to reveal credentials, testing if triggered states would emit bearer tokens, searching for hidden authentication payloads tied to the puzzle's API infrastructure at dormant-puzzle.janestreet.com . That assumption was wrong, and recognizing that it was wrong was itself a breakthrough. The "flags" in this challenge are not strings to extract — they are beh
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[D] On-Device Real-Time Visibility Restoration: Deterministic CV vs. Quantized ML Models. Looking for insights on Edge Preservation vs. Latency.
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