Future AI models may compress all human knowledge into megabytes via post-transformer breakthroughs

Future AI models may compress all human knowledge into megabytes via post-transformer breakthroughs | if I had to bet, I'd bet that it's some sort of radical post transformer advance where the models get even smaller... will be something maybe even in the megabytes.

if I had to bet, I'd bet that it's some sort of radical post transformer advance where the models get even smaller... will be something maybe even in the megabytes.

Beneficiaries (24)

Adverse (6)

{
  "nia": false,
  "qty": "megabytes",
  "url": "https://www.youtube.com/watch?v=d__HRChE2ZE",
  "mode": "BET",
  "role": "Host",
  "caveats": "bet",
  "context": "if I had to bet, I'd bet that it's some sort of radical post transformer advance where the models get even smaller and we took all of the internet and we compressed it down to single gigabytes or tens or hundreds of gigabytes, compresses down even further. There's some phase transition out there that's waiting to be discovered... will be something maybe even in the megabytes.",
  "verbatim": "if I had to bet, I'd bet that it's some sort of radical post transformer advance where the models get even smaller... will be something maybe even in the megabytes.",
  "conv_cues": "if I had to bet",
  "direction": "DOWN",
  "timeframe": "Future",
  "conv_level": "MEDIUM",
  "milestones": [
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -7,
      "source_id": null,
      "expected_date": "2026-10-05",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Major academic paper demonstrates state-of-the-art LLM at <1B parameters on a benchmark within 5 points of frontier",
      "source": "Microsoft Phi-4 series; Google Gemma 3; Mistral Small 2026; ongoing model-compression literature",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.55,
      "expected_date": "2027-01-30",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-09-30",
        "from": "2026-06-01"
      },
      "measurement_criterion": "ICLR/NeurIPS-tier paper or arXiv preprint demonstrates a model at <1B parameters reaching within 5 points of GPT-5/Gemini-3/Claude on at least one major benchmark (MMLU, HumanEval, GSM8K)"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -5,
      "source_id": null,
      "expected_date": "2027-03-12",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Mainstream non-transformer architecture (Mamba, RWKV, Hyena, RetNet) wins on ChatBot Arena top 20",
      "source": "Mamba (Albert Gu/Tri Dao); Phi-4-mini-flash hybrid attention 2025-2026",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.45,
      "expected_date": "2027-03-17",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "A model based on a fundamentally non-transformer architecture (state-space, recurrent, etc.) appears in ChatBot Arena top-20 leaderboard. Required precondition for 'post-transformer breakthrough' framing."
    },
    {
      "kind": "llm_pre_event",
      "label": "Frontier lab announces 'next-generation architecture' departure from transformer scaling",
      "source": "AI scaling literature 2025-2026; LeCun JEPA / world-models thesis",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.4,
      "expected_date": "2027-08-01",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2028-06-30",
        "from": "2026-09-01"
      },
      "measurement_criterion": "OpenAI, Anthropic, Google DeepMind, Meta, or xAI publicly announces a new model framed as fundamentally post-transformer, with technical paper showing architectural change"
    },
    {
      "kind": "llm_pre_event",
      "label": "Kolmogorov-complexity / compression-prize benchmark shows AI compressing knowledge below transformer-floor",
      "source": "Hutter Prize (enwik9 compression); information-theoretic AI bounds",
      "status": "pending",
      "weight": 0.4,
      "ordina
... (truncated)