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Sakana Fugu: A 10,000-Parameter Evolved Head Coordinates GPT-5, Claude, and Gemini Better Than Any of Them Can Work Alone

Jun 29, 2026

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16 min read

Sakana Fugu: A 10,000-Parameter Evolved Head Coordinates GPT-5, Claude, and Gemini Better Than Any of Them Can Work Alone

Sakana Fugu (sakana.ai/fugu-beta) is not a foundation model in the conventional sense. It is a trained coordinator that orchestrates a pool of frontier models, assigning them roles and custom instructions at inference time, producing answers that outperform any individual model in the pool.

Mohinish S

SnackOnAI Blog

MLflow Made OpenTelemetry the Default Substrate for LLM Tracing. The Gen AI Semantic Conventions Are the Spec Everyone Is Converging On, Whether They Know It or Not.

Jun 28, 2026

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13 min read

MLflow Made OpenTelemetry the Default Substrate for LLM Tracing. The Gen AI Semantic Conventions Are the Spec Everyone Is Converging On, Whether They Know It or Not.

Every LLM observability tool in 2026 is building on the same underlying substrate: OpenTelemetry's GenAI Semantic Conventions, a CNCF-backed standard that defines exactly which span attributes capture an LLM call, how token counts are structured, and what a tool invocation looks like in a trace. MLflow 3.6.0 shipped an OTLP endpoint at /v1/traces, dual export, and native gen_ai.* attribute support.

Mohinish S

SnackOnAI Blog

SANA-Sprint Runs Text-to-Image in One Step. The Reason It Works Is Not the Distillation. It Is the Training Stability Fix Nobody Talks About.

Jun 27, 2026

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15 min read

SANA-Sprint Runs Text-to-Image in One Step. The Reason It Works Is Not the Distillation. It Is the Training Stability Fix Nobody Talks About.

Consistency distillation for text-to-image has been stuck at a fundamental tradeoff: good quality requires multiple steps, one-step generation produces artifacts. SANA-Sprint (NVIDIA + MIT, arXiv:2503.09641) breaks this at 1024x1024 resolution with 0.1 second latency on H100, achieving FID 7.59 and GenEval 0.72 in a single step, outperforming FLUX-schnell (12B parameters, 0.5 samples/s) while running a 0.6B model at 7.22 samples/s.

Mohinish S

SnackOnAI Blog

The Web Scraping Stack Behind AI Data Pipelines: Ten Open-Source Tools From HTTP to Agent-Driven Automation

Jun 26, 2026

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12 min read

The Web Scraping Stack Behind AI Data Pipelines: Ten Open-Source Tools From HTTP to Agent-Driven Automation

The paid scraping industry sells access to open infrastructure you could own. The ten repos in this issue span every layer of the modern web data stack, from raw HTTP fingerprint impersonation at the bottom to AI agents that click, scroll, and log in at the top.

Mohinish S

SnackOnAI Blog

DeerFlow's Real Contribution Is Not Deep Research. It Is the Super Agent Harness Nobody Else Built.

Jun 25, 2026

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13 min read

DeerFlow's Real Contribution Is Not Deep Research. It Is the Super Agent Harness Nobody Else Built.

DeerFlow v2.0 (bytedance/deer-flow, 68k stars, MIT) is a ground-up rewrite that shares zero code with v1.x. Version 1 was a single deep research pipeline. Version 2 is a super agent harness: an orchestration system that manages sub-agents, sandboxed code execution, long-term memory, and extensible skill packages, handling tasks that take minutes to hours rather than seconds.

Mohinish S

SnackOnAI Blog

The Agentic Web Stack: How x402, Agent Identity, and Micropayment Economics Form a Complete Protocol Layer

Jun 24, 2026

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14 min read

The Agentic Web Stack: How x402, Agent Identity, and Micropayment Economics Form a Complete Protocol Layer

Five separate research papers and one production open standard published between September 2025 and April 2026 each solve one piece of the same problem: how do autonomous AI agents discover, authenticate to, and pay for internet services without human intervention at each step.

Mohinish S

ALL Blogs

Sakana Fugu: A 10,000-Parameter Evolved Head Coordinates GPT-5, Claude, and Gemini Better Than Any of Them Can Work Alone

MLflow Made OpenTelemetry the Default Substrate for LLM Tracing. The Gen AI Semantic Conventions Are the Spec Everyone Is Converging On, Whether They Know It or Not.

SANA-Sprint Runs Text-to-Image in One Step. The Reason It Works Is Not the Distillation. It Is the Training Stability Fix Nobody Talks About.

The Web Scraping Stack Behind AI Data Pipelines: Ten Open-Source Tools From HTTP to Agent-Driven Automation

DeerFlow's Real Contribution Is Not Deep Research. It Is the Super Agent Harness Nobody Else Built.

The Agentic Web Stack: How x402, Agent Identity, and Micropayment Economics Form a Complete Protocol Layer

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