Latest AI News & Updates

#amazon bedrock #cloud cost optimization #foundational (100) #generative ai #intermediate (200) #thought leadership

In this post, we'll look at Amazon Bedrock pricing through the lens of a practical, real-world example: building a customer service chatbot. We'll break down the essential cost components, walk through capacity planning for a mid-sized call center implementation, and provide detailed pricing calculations across different foundation models.

#amazon sagemaker #amazon sagemaker ai #announcements #artificial intelligence #foundation models

Released on August 5, 2025, OpenAI’s GPT-OSS models, gpt-oss-20b and gpt-oss-120b, are now available on AWS through Amazon SageMaker AI and Amazon Bedrock. In this post, we walk through the process of fine-tuning a GPT-OSS model in a fully managed training environment using SageMaker AI training jobs.

#business #business / artificial intelligence

GPT-5 was touted as a major upgrade to ChatGPT. Not all users think that’s the case, posting threads like “Kill 4o isn’t innovation, it’s erasure” on Reddit.

#artificial intelligence #app

My colleague Grace Huckins has a great story on OpenAI’s release of GPT-5, its long-awaited new flagship model. One of the takeaways, however, is that while GPT-5 may make for a better experience than the previous versions, it isn’t something revolutionary. “GPT-5 is, above all else,” Grace concludes, “a refined product.” This is pretty much…

#business #business / artificial intelligence

On this episode of Uncanny Valley, we discuss the week’s news, from bitcoin miners trying to beat Trump’s tariffs to OpenAI's new deal with the US government.

#deep learning #algorithms #artificial intelligence #deep dives #genetic algorithm #neural network

Practical Neuroevolution: Reproducing NEAT’s Innovations and Code Walkthrough
The post From Genes to Neural Networks: Understanding and Building NEAT (Neuro-Evolution of Augmenting Topologies) from Scratch appeared first on Towards Data Science.

#agentic ai #artificial intelligence #data science #langgraph #python #statistics

Stop guessing your statistical test. Let this AI do it for you.
The post LangGraph + SciPy: Building an AI That Reads Documentation and Makes Decisions appeared first on Towards Data Science.

#ai #ai, ml and deep learning #chatgpt #chatgpt plus #conversational ai #gpt-5 #gpt-oss #nlp #openai #chatgpt psychosis #gpt psychosis #gpt-launch

OpenAI must stabilize infrastructure, tune personalization, and decide how to moderate immersive interactions.

AI is steadily changing data governance by empowering businesses to stay compliant and agile without getting bogged down by manual tasks.

Tired of spending hours on repetitive data tasks? These Python scripts can come in handy for the overworked data scientist looking to simplify daily workflows.

#artificial intelligence #app

The propensity for AI systems to make mistakes and for humans to miss those mistakes has been on full display in the US legal system as of late. The follies began when lawyers—including some at prestigious firms—submitted documents citing cases that didn’t exist. Similar mistakes soon spread to other roles in the courts. In December,…

#science #science / psychology and neuroscience

The Cleveland Clinic and startup Piramidal are developing an AI model trained on brain wave data to monitor intensive care patients.

Explore 10 agentic AI terms and concepts that are key to understanding the latest AI paradigm everyone wants to talk about — but not everyone clearly understands.

#ai & ml #commentary

Last month, I spoke with Matthew Prince, cofounder and CEO of Cloudflare, as part of my ongoing series of public conversations, Live with Tim O’Reilly. Cloudflare made waves with its July 1 announcement that it will block AI crawlers by default and give content owners the ability to decide who can use their material for […]

One of the most widespread machine learning techniques is XGBoost (Extreme Gradient Boosting).

Introducing a four-hour video workshop on agentic AI engineering from Jon Krohn and Edward Donner.

#ai & ml #deep dive

The following is Part 1 of 3 from Addy Osmani’s original post “Context Engineering: Bringing Engineering Discipline to Parts.” Context Engineering Tips: To get the best results from an AI, you need to provide clear and specific context. The quality of the AI’s output directly depends on the quality of your input. How to improve […]

#business #security #business / big tech

Palantir is often called a data broker, a data miner, or a giant database of personal information. In reality, it’s none of these—but even former employees struggle to explain it.

AI’s best case, OpenAI bonuses, bad news for Anthropic, campus clashes, and more...

#ai #datadecisionmakers #agi #ai, ml and deep learning #artificial general intelligence #conversational ai #generative ai #large language models (llms) #nlp

The challenge is not just to build better AI tools, but to ask harder questions about where they are taking us.

Legacy models return, AI war games, Altman’s daily habit, lip sync AI, and more...

#ai #data infrastructure #datadecisionmakers #ai, ml and deep learning #big data and analytics #data science #generative ai #large language models #mcp protocol #model context protocol (mcp)

Using structured protocols such as MCP and AI-driven analyses results in proactive rather than reactive systems.

#the variable #data science #experiment design #machine learning #tds features

The key to successful ML projects isn't always more resources
The post How to Design Machine Learning Experiments — the Right Way appeared first on Towards Data Science.

AMA fallout, 4o sticks around, AI space medic, prompt-to-song, new chat, more...

#writing #artificial intelligence #data science #machine learning #technical writing #writing advice

Learn how to write informative technical articles
The post How to Write Insightful Technical Articles appeared first on Towards Data Science.

#ai #automation #business #data infrastructure #enterprise analytics #programming & development #ai pricing #ai, ml and deep learning #anthropic #business intelligence #code generation #conversational ai #cursor #data management #data science #enterprise ai #github copilot #gpt-5 #microsoft #nlp #openai #claude opus #customer concentration #token costs

Anthropic faces risks as $5B run rate leans on Cursor and GitHub Copilot as OpenAI’s cheaper GPT‑5 undercuts Claude, spotlighting customer concentration risks and enterprise AI cost pressure.

#business #business / artificial intelligence

Truth Search AI appears to rely heavily on conservative outlet Fox News to answer even the most basic questions.

#ai #business #agentic ai #agi #ai coding #ai model #ai reasoning #ai, ml and deep learning #chatbots #chatgpt #coding #coding ai #conversational ai #gpt-5 #llms #model routing #nlp #openai #programming #reasoning ai #ai model routing #llm race #model switching #reddit #social networking

The pressure is on for OpenAI to prove that GPT-5 isn’t just an incremental update, but a true step forward.

#gear #gear / gear news and events #business #business / artificial intelligence

In this episode of Uncanny Valley, we're talking about why some chatbot subscriptions are so expensive and how these premium prices were determined on vibes more than anything substantial.

#large language models #editors pick #generative ai #llm #regex #structured output

An overview of popular techniques to confine LLMs' output to a predefined schema
The post Generating Structured Outputs from LLMs appeared first on Towards Data Science.

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