THE AI PULSEEN

The Pulse — March 6, 2026

The signals that entered our radar, organized with sources and context to understand what changed.

ModelsAnthropicAgents
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  1. 01OpenAI (primary)

    Introducing GPT‑5.4 (Thinking + Pro) — OpenAI

    WHY IT ENTERED THE RADAR

    Claims a single “do-real-work” frontier model that merges reasoning + coding + native computer-use, with 1M context and a big jump on computer-use benchmarks (OSWorld‑Verified 75%). Also introduces tool search to cut tokens in tool-heavy systems.

    Open original source ↗
  2. 02Anthropic News (primary)

    Detecting and preventing distillation attacks — Anthropic

    WHY IT ENTERED THE RADAR

    Detailed report claiming industrial-scale illicit distillation (DeepSeek, Moonshot, MiniMax): ~24k fraudulent accounts, 16M+ exchanges targeting agentic reasoning, tool use, coding, and even chain-of-thought elicitation patterns.

    Open original source ↗
  3. 03Claude Code Docs (primary)

    Remote Control for Claude Code (official docs) — Anthropic

    WHY IT ENTERED THE RADAR

    This is the official spec for running an agent locally while controlling it from web/mobile. It clarifies the security model: local session stays local; remote UI is “a window,” traffic routed via Anthropic API with scoped, short-lived creds.

    Open original source ↗
  4. 04grith.ai (primary analysis)

    Clinejection: prompt injection → supply-chain compromise (4k dev machines) — grith.ai

    WHY IT ENTERED THE RADAR

    Concrete end-to-end chain: GitHub issue title prompt injection → AI triage bot executes → cache poisoning → credential theft → npm publish with a sneaky postinstall that globally installs another agent. This is agent security meets CI/CD.

    Open original source ↗
  5. 05GitHub (primary)

    Poetiq ARC‑AGI solver repo (reproducibility) — Poetiq

    WHY IT ENTERED THE RADAR

    Upstream artifact behind the creator-chat about “alternative to fine-tuning” and “reasoning harnesses.” It links to their own deep-dive posts and provides runnable configs to reproduce public eval points.

    Open original source ↗
  6. 06arXiv cs.AI (primary)

    The Spike, the Sparse and the Sink: massive activations + attention sinks (paper) — arXiv

    WHY IT ENTERED THE RADAR

    Clarifies a confusing transformer phenomenon: massive activations (global, “implicit parameters”) vs attention sinks (local, head bias), and argues the co-occurrence is largely an architectural artifact (pre-norm).

    Open original source ↗
  7. 07arXiv cs.LG (primary)

    POET‑X: memory-efficient LLM training via orthogonal transformations (paper + project page) — arXiv

    WHY IT ENTERED THE RADAR

    Claims stability benefits of POET while reducing overhead enough to pretrain billion‑param models on a single H100 where AdamW OOMs. If real, this changes “who can pretrain what” on tight budgets.

    Open original source ↗
  8. 08GitHub (primary)

    llama-swap (model hot-swapping proxy for any OpenAI/Anthropic-compatible server) — mostlygeek

    WHY IT ENTERED THE RADAR

    Practical infra for local stacks: hot-swap models on demand, adds a UI, and supports multiple endpoints (chat, responses, embeddings, audio, images). Useful for creators showing “local agent toolchains.”

    Open original source ↗
  9. 09Product site (primary)

    Locally AI (offline on-device LLM assistant for iOS/macOS; MLX) — Locally AI

    WHY IT ENTERED THE RADAR

    Shows the mainstreaming of offline assistants: model downloads, on-device voice mode, Siri + Shortcuts integration, and explicit MLX positioning. Also signals which open models are getting “consumerized” (Qwen, Gemma, DeepSeek, etc.).

    Open original source ↗
  10. 10Anthropic Research (primary)

    Labor market impacts of AI: observed exposure (paper) — Anthropic Research

    WHY IT ENTERED THE RADAR

    Proposes observed exposure (the gap between theoretical capability and real usage), finds BLS projected growth is slightly weaker for more exposed jobs, but no systematic unemployment increase yet; suggests hiring for younger workers may be slowing in exposed occupations.

    Open original source ↗
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