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AWS Machine Learning Blog

Retrofit, don’t rebuild: Agentic overlays for transforming legacy enterprise services

In this technical collaboration between AWS and the authors, we present a pragmatic solution: agentic overlays. Agentic overlays are thin wrapper layers that transform traditional REST-based services into agents capable of participating in A2A interactions. They also expose REST APIs as tools compatible with the Model Context Protocol (MCP). Together, they let enterprises add A2A capabilities to existing REST services without rewriting business logic, without duplicating code, and without runnin

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OpenClaw Commits

fix(github-copilot): bound usage response (#96607)

<pre style='white-space:pre-wrap;width:81ex'>fix(github-copilot): bound usage response (#96607) The Copilot usage read in extensions/github-copilot/usage.ts parsed its HTTP response with an unbounded await res.json(). A hostile or buggy api.github.com proxy (the proxy endpoint is derived from a user-supplied token) could stream an unbounded JSON body and drive the usage snapshot into OOM. Route the read through the shared readProviderJsonResponse (from openclaw/plugin-sdk/provider-http), which e

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Hacker News LLMLLMs

The Weaver Stack: one contract layer for safe LLM agents

Article URL: https://pub.towardsai.net/the-weaver-stack-one-contract-layer-for-safe-llm-agents-7f733cad5eac?sharedUserId=diogofcul Comments URL: https://news.ycombinator.com/item?id=48676875 Points: 2 # Comments: 0

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Hacker News Ask

Google AI overview for "keynesian economics" is written in Korean

I just came across this funny behavior, and I have no idea what's causing it. The first paragraph is in English, but everything below it is written in Korean. What's interesting is that if you submit a question to the AI, it will open a new window, and in that window, the text is fully written in English. I was able to reproduce this on multiple browsers and devices; I have never installed or used the Korean language settings. Anybody know why it might be behaving this way? Comments URL: https:/

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Hacker News FrontTools

Apple to skip high-end M6 Mac chips in favor of AI-focused M7 line

Giftlink: https://www.bloomberg.com/news/articles/2026-06-25/apple-to-... also https://www.msn.com/en-ca/lifestyle/shopping/apple-to-skip-h... Comments URL: https://news.ycombinator.com/item?id=48676795 Points: 35 # Comments: 24

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Machine Learning

Would having a dedicated programming language specifically for LLMs be a viable solution? [D]

<!-- SC_OFF --><div class="md"><p>What if there was a new programming language where the meaning of each token was so dense (or perhaps so specific) that an LLM could write robust code with fewer tokens and faster inference?</p> <p>Assuming there’s enough training data, do you think something like this allow an LLM to write better code faster?</p> <p>Rationale:</p> <p>1) It would allow for faster inference. Fewer tokens required to do the same thing in Python = finish faster.</p> <p>2) It would

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IEEE Spectrum AIResearch

Why Does a Bank Need a Chief Scientist?

This article is brought to you by Capital One . After five years leading natural language understanding and eventually the entire Alexa AI organization at Amazon, Prem Natarajan made a nontraditional move: He became Chief Scientist at a bank. Not just any bank: Capital One, a financial institution serving over 100 million customers, helping everyday Americans manage their financial lives. For Natarajan, a veteran of DARPA-funded research and academia who had watched machine learning evolve from

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Why Does a Bank Need a Chief Scientist?
Machine Learning

[R] Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1ufgpnh/r_compiling_agentic_workflows_into_llm_weights/"> <img src="https://external-preview.redd.it/q3evP6JeDpAC2MdSQHWYxnCYTqbJkElIQsLFqVSdkss.png?width=640&crop=smart&auto=webp&s=de730fbf7ecace6df0036b21470c16a2d4feacfb" alt="[R] Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost" title="[R] Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two

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[R] Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost
Hacker News Ask

Decoupling Compute and Memory for Async GPUs

Cool open-source project that introduces a new programming model for decoupling compute and memory for NVIDIA GPUs that supports asynchronous memory operations (e.g., Hopper). 12% perf improvement over SOTA and 67% less kernel code. Paper: "VDCores: Resource Decoupled Programming and Execution for Asynchronous GPU" arXiv:2605.03190 Comments URL: https://news.ycombinator.com/item?id=48676372 Points: 5 # Comments: 1

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OpenClaw Commits

fix: cron stream stalls fail over before job timeout (#96096)

<pre style='white-space:pre-wrap;width:81ex'>fix: cron stream stalls fail over before job timeout (#96096) * fix(agents): cap cron stream idle stalls * fix(agents): preserve cron hostname timeout * fix: bound cron idle timeout local exceptions * fix: bound cron idle timeout local exceptions --------- Co-authored-by: Radek Sienkiewicz <mail@velvetshark.com></pre>

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Schneier on Security

AI and Liability

Earlier this month, a German court ruled that Google is liable for its AI search summaries. Rejecting defenses like “users can check for themselves,” and that they generally know “that information generated with AI should not be blindly trusted,” the court held that the AI’s summaries are reflections of the company and “above all an expression of Google’s business activities.” This is the latest skirmish in a decades-old battle over internet publishing. Historically, there were two different typ

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VentureBeat

OpenAI's updated GPT-5.5 Instant is better at shopping, complex constraints, and understanding user intent — and it's already in the API

OpenAI has made a significant update to its most widely used language model, GPT-5.5 Instant, which is the default in the free version of ChatGPT. The company announced the upgraded version of GPT-5.5 Instant yesterday on X, calling it "much more fun to talk to" and saying it is "better at understanding the intent behind a question and adapting its response accordingly," as well as offering improvements in shopping results, local recommendations, and handling "complex constraints." However, it h

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OpenAI's updated GPT-5.5 Instant is better at shopping, complex constraints, and understanding user intent — and it's already in the API
AWS Machine Learning Blog

Optimize model training on Amazon SageMaker AI with NVIDIA Blackwell

This post shows you how to configure training jobs on Amazon SageMaker AI to get the most out of Blackwell’s architecture on AWS. You learn how to select batch sizes and sequence lengths that take advantage of Blackwell’s expanded memory, choose the right precision format for your model size (1B to 64B parameters), and apply activation checkpointing strategically. By the end, you have a practical framework for tuning your training configuration and launching distributed training jobs on P6-B200

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AWS Machine Learning Blog

Implementing super resolution by deploying SeedVR2 on Amazon SageMaker AI

In this post, we demonstrate how to implement video upscaling using SeedVR2 on SageMaker AI. We cover the solution architecture, walk through the deployment steps, and show performance comparisons that highlight the quality improvements and processing efficiency you can achieve. By the end of this post, you’ll have the practical knowledge needed to implement this super resolution solution.

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Machine Learning

Does ML background help or hurt when applying for security roles [D]

<!-- SC_OFF --><div class="md"><p>Worried recruiters see "ML/AI engineer" on a resume and assume zero security depth, even with real hands on work in the space. Anyone hired into security from a non-traditional background like this — how'd you frame it?</p> </div><!-- SC_ON --> submitted by <a href="https://www.reddit.com/user/Xorphian"> /u/Xorphian </a> <br/> <span><a href="https://www.reddit.com/r/MachineLearning/comments/1uff20h/does_ml_background_help_or_hurt_when_applying_for/">[link]</a></

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Towards Data Science - Medium

Beyond the Straight Line: Choosing Between OLS, Interaction Terms, and Tweedie Regression

Whether you should stick to a classic Ordinary Least Squares regression, introduce interaction terms, or pivot to a Tweedie distribution depends entirely on how your data handles the messy reality of zeros and extreme outliers. The post Beyond the Straight Line: Choosing Between OLS, Interaction Terms, and Tweedie Regression appeared first on Towards Data Science .

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Hacker News Ask

Holy shit, we just invented a new agentic memory architecture

Holy shit, we just invented a new agentic memory architecture i thought we were stuck in 2025, but it turned out we were a head of the curve. i can't believe that the best memory system invented so far is the one openclaw uses, finally we are a step ahead. now comes the hard part, sales. The memory harness %99 of agents use nowadays are barely agentic. It's the bottleneck holding down the entire system: -it relies too much on retrieval. trying to solve for retrieval is like trying to invent a be

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The DecoderBusiness

Most major AI chatbots still lean left on political questions, even "anti-woke" models are no exception

A Washington Post investigation shows that most major AI chatbots still skew left on political questions. OpenAI's GPT-5.5 gave exclusively left-leaning arguments 80 percent of the time, and even Musk's Grok, marketed as anti-"woke," leaned left more often than not. The one outlier: Google's Gemini 3.1 Pro presented both sides 93 percent of the time. The article Most major AI chatbots still lean left on political questions, even "anti-woke" models are no exception appeared first on The Decoder .

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Most major AI chatbots still lean left on political questions, even "anti-woke" models are no exception
Singularity Hub

Companies Could Soon Staff ‘Stubbornly Local’ Jobs With Workers 4,000 Miles Away

Companies once moved whole factories overseas to reduce labor costs. Now, workers a world away can operate local excavators, forklifts, and even humanoid robots with an internet connection. The post Companies Could Soon Staff ‘Stubbornly Local’ Jobs With Workers 4,000 Miles Away appeared first on SingularityHub .

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Companies Could Soon Staff ‘Stubbornly Local’ Jobs With Workers 4,000 Miles Away
Recurrent Neural Networks

Using Gemini to Create Google Sheets

In this tutorial, we will show you how to use Gemini to create Google Sheets, build a useful table, generate formulas, analyze data, and improve the spreadsheet with follow-up prompts.

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Using Gemini to Create Google Sheets
Microsoft ResearchResearch

Understanding the brain with AI-driven explanations and experiments

Researchers introduce generative causal testing, which translates black box models into clear hypotheses and verifies them in the scanner, revealing what specific brain regions respond to in language. The post Understanding the brain with AI-driven explanations and experiments appeared first on Microsoft Research .

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Understanding the brain with AI-driven explanations and experiments