/4 Two metrics. 1. Paper (single-stream lossless latency, Qwen3-8B, Transformers backend): > Average 4.86x speedup over autoregressive baseline
> Peak 6.08x on MATH-500 (τ = 7.87 average acceptance length)
> 2.5x higher than EAGLE-3 at matched draft budget 2. NVIDIA
@alphasignalai
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Two metrics: paper speedup and NVIDIA
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DFlash replaces autoregressive draft head with block diffusion model
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/3 DFlash replaces the autoregressive draft head with a block diffusion model. The drafter gets the target model's hidden states injected into the KV cache of every draft layer (not just the first like EAGLE-3). One denoising step. Entire block of 16 tokens produced in a single
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DFlash 6x lossless acceleration on Qwen3-8B
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Diffusion LLMs have been losing to autoregressive models for two years. UC San Diego just found the one thing they're actually better at: not generating, drafting. DFlash hits 6x lossless acceleration on Qwen3-8B. 2.5x faster than EAGLE-3. Check out the detailed breakdown
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14-Step Guide: Moving from Hand Prompting to Automated Loop Engineering Systems
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/5 Loop engineering has been everywhere lately. This 14-step guide shows what it actually means to move from prompting coding agents by hand to designing systems that prompt, verify, remember state, and keep running without you babysitting every turn. It covers the basics of
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Andrew Ng explains self-improving loops for AI agents
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/4 Andrew Ng says the next step for AI agents is self-improving loops.
— AlphaSignal (@AlphaSignalAI) 25 juin 2026
In this 31-minute interview, he explains how to build agents that can run tasks, evaluate their own outputs, and improve through feedback instead of relying on better prompting alone.
It is a clear starting…/4 Andrew Ng says the next step for AI agents is self-improving loops. In this 31-minute interview, he explains how to build agents that can run tasks, evaluate their own outputs, and improve through feedback instead of relying on better prompting alone. It is a clear starting
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Autoresearch lets agents run experiments on GitHub repos with one URL change
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/1 Research artifacts are no longer just papers.
— AlphaSignal (@AlphaSignalAI) 25 juin 2026
Autoresearch now lets you point an agent at a GitHub repo, have it orient itself inside the codebase, resolve setup problems, and help run experiments with one URL change.
It's pretty easy. Change GitHub to ARGithub in any repo…/1 Research artifacts are no longer just papers. Autoresearch now lets you point an agent at a GitHub repo, have it orient itself inside the codebase, resolve setup problems, and help run experiments with one URL change. It's pretty easy. Change GitHub to ARGithub in any repo
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Top AI Educational Pieces of the Week June 18-25
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Top AI Educational Pieces of the Week (June 18 – 25) 1. Autoresearch for GitHub repos 2. How to configure agent identity in Claude Tag 3. Codex's SSD bug and how to safely check disk usage
4. Andrew Ng: Prompting could be gone in 3-6 months 5. The 14-step guide to loop -
Nous Research launches Blank Slate for AI agents
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/3 Nous Research ships Blank Slate mode so you can build agents from scratch. Most agent tools dump everything on you by default. Blank Slate does the opposite. You start with just a provider, a model, file operations, and a terminal. Everything else, including web, browser,
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OpenAI launches GPT-5.5-Cyber to scan and patch vulnerable code
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/5 OpenAI launches GPT-5.5-Cyber to scan, patch, and fix vulnerable code at scale. GPT-5.5-Cyber is a specialized model that scored 85.6% on CyberGym (vs 81.8% for standard GPT-5.5). It is gated to verified defenders only, not open access. Plugged into Codex, the new Codex
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Anthropic turns Claude into a Slack teammate with delegation and memory
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/1 Anthropic just turned Claude into a Slack teammate you can tag, delegate to, and forget about until it ships. Claude Tag joins selected Slack channels with scoped access to your tools, data, and codebases. It's multiplayer (one shared Claude per channel), builds memory from