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Neural network breakthroughs, LLM releases and generative systems.

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  1. Research noteAI-2026-0223

    A budget for how much the teacher says

    Self-distillation always aims at the full teacher. Constraining how much teacher information enters at each token improved specialisation in seven of eight settings.

    3 minSource: arXiv

  2. Research noteAI-2026-0222

    A scoring rule that punishes guessing

    Volume-based accuracy rewards a retrieval system for answering everything. A penalty-aware framework separates the three ways it fails.

    3 minSource: arXiv

  3. AnalysisAI-2026-0221

    A hundred million words against fifteen trillion

    Children reach fluency on about 100 million words. Llama 3.1 took 15 trillion tokens, and nobody can yet say what closes the gap.

    3 minSource: MIT Technology Review

  4. Research noteAI-2026-0220

    Both agent-written papers were rejected

    Princeton researchers gave agents six days, $3,000 in credits and unpublished research questions. The original authors turned down the results.

    2 minSource: MIT Technology Review

  5. News briefAI-2026-0219

    Gemini 3.7 Flash lands three weeks after 3.6

    Google's workhorse model gains sharply on coding and agent benchmarks, with introductory pricing held to the end of the year.

    2 minSource: Google

  6. AnalysisAI-2026-0218

    Context windows stopped being the constraint

    Every lab now ships a million tokens or more. The bottleneck moved to retrieval quality, and most teams have not noticed.

    9 min

  7. BenchmarkAI-2026-0215

    Open weights close the gap on reasoning, not on reliability

    Scores converge at the top of the leaderboard. Variance across repeated runs tells a different story.

    6 min

  8. Research noteAI-2026-0211

    The quiet standardisation of tool schemas

    Four vendors, one shape. Interoperability arrived without an announcement.

    7 min

  9. AnalysisAI-2026-0207

    Distillation is doing more work than scale

    The interesting releases this quarter were small models trained on the output of large ones.

    8 min

  10. Field reportAI-2026-0203

    Evaluation sets are rotting faster than teams replace them

    Contamination is no longer an edge case. It is the base rate.

    5 min

  11. Market briefAI-2026-0198

    Inference providers compete on latency now, not price

    Per-token pricing converged. Time to first token did not.

    4 min