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IBM launches Bob with multi-model routing and human checkpoints to turn AI coding into a secure production system
Bringing AI agents into the enterprise software development lifecycle is fast becoming the norm. As developers experiment with new platforms, organizations are exposed to potential security and orchestration failures. Systems that work in pilots may fail once the agents start working with real-time data. Legacy tech giant IBM is one of several companies trying to address that gap by introducing more structure into how these workflows run. Yesterday, it announced the global launch of its AI-powered software development platform Bob, designed to write and test code across the development cycle, already in use by more than 80,000 of its employees after starting with just 100 internal users in summer 2025. Bob introduces a structured layer that constantly pauses for human-led checkpoints, yet by harnessing AI models to perform agentic tasks, IBM says it has saved some teams up to 70% of time "on selected tasks...equaling an average time savings of 10 hours per week." Specific models suppo
Amazon’s OpenAI gambit signals a new phase in the cloud wars — one where exclusivity no longer applies
Sanctioned Chinese AI Firm SenseTime Releases Image Model Built for Speed
General AI
Google Photos launches an AI try-on feature for clothes you already have
Google Photos is launching a new AI-powered feature you can use to virtually try on clothes you already have. Using the photos in your gallery, Google will create a virtual "wardrobe," allowing you to mix and match outfits, save the looks you like, and share them with friends. A video shared by Google shows how Photos organizes your outfits and individual pieces of clothing into a virtual "wardrobe." You can browse through the outfits you were captured wearing, as well as create new ones by choosing from tops, bottoms, skirts, dresses, and shoes to put together a new look. You can also select the button in the bottom right corner of each o … Read the full story at The Verge.
AWS Quick's personal knowledge graph is making orchestration decisions most control planes can't see
Enterprise AI teams running centralized orchestration stacks now have a new variable to account for: AWS Quick, which expanded this week to a desktop-native agent that builds a persistent personal knowledge graph and executes actions across local files and SaaS tools — outside the visibility of most control planes. Unlike chat-based copilots that reset with each session, Quick now maintains a continuously updated knowledge graph built from the user's local files, calendar, email and connected SaaS apps. It uses it to proactively trigger actions without waiting to be asked. AWS launched Quick in October last year as an alternative to AI workflow and productivity platforms coming from Google, OpenAI and Anthropic. It was a way for enterprise employees to access insights from connected applications, an agent builder, deep research, and workflow automation. Now, it’s grown beyond a simple AI assistant and acts more as a proactive workflow agent with a stateful, real-time knowledge graph of
AI evals are becoming the new compute bottleneck
KNOREX Targets $80 Billion Market with New AI-Powered XPO Optimizer
SUNNYVALE, Calif. & SINGAPORE, April 29, 2026--KNOREX Ltd. (NYSE American: KNRX) ("KNOREX" or the "Company"), a leading provider of AI-driven advertising technology solutions, today announced major advancements to its KNOREX XPO℠ platform. The update introduces an AI-powered Keyword Optimizer for Google Ads and a sophisticated Machine Learning-based Data-Driven Attribution (DDA) model for Meta, Google, TikTok, and other major native platforms. The enhancements are designed to help advertisers im
AWS launches Amazon Quick desktop AI assistant
Article URL: https://aws.amazon.com/quick/ Comments URL: https://news.ycombinator.com/item?id=47944871 Points: 1 # Comments: 1
Google Photos uses AI to make the iconic closet from ‘Clueless’ a reality
Google says the new feature will leverage AI technology to automatically create a copy of your wardrobe that's based on the pieces of clothing appearing in your Google Photos library.
Meet Shapes, the app bringing humans and AI into the same group chats
Think Discord chats, but with AI characters in addition to humans.
AI won’t kill your job — it will kill the path to your first one
The AI disruption story is being told wrong. Firms aren't firing — they're freezing hiring.
Nvidia CEO Jensen Huang says this career path will thrive in the AI era—and drive a new Industrial Revolution
Jensen Huang went from washing dishes at Denny's to building the world’s most valuable company—now he says the field he studied in college will be critical to the AI revolution.
Nvidia CEO Jensen Huang says this career path will thrive in the AI era—and drive a new Industrial Revolution
Jensen Huang went from washing dishes at Denny's to building the world’s most valuable company—now he says the field he studied in college will be critical to the AI revolution.
Major Wall Street firm makes a bold new call on Intel stock
Wall Street loves a comeback story, but it does not always trust one. Intel has been a graveyard for investor patience for most of the past decade. The chipmaker missed the artificial intelligence (AI) boom, lost ground to Taiwan Semiconductor and Nvidia, and burned through billions trying to fix a ...
minAction.net: Energy-First Neural Architecture Design -- From Biological Principles to Systematic Validation
arXiv:2604.24805v1 Announce Type: new Abstract: Modern machine learning optimizes for accuracy without explicitly accounting for internal computational cost, even though physical and biological systems operate under intrinsic energy constraints. We evaluate energy-aware learning across 2,203 experiments spanning vision, text, neuromorphic, and physiological datasets, using 10 seeds per configuration and performing a factorial statistical analysis. Three findings emerge. First, architecture alone explains negligible variance in accuracy (partial eta^2 = 0.001). In contrast, the architecture x dataset interaction is large (partial eta^2 = 0.44, p < 0.001), demonstrating that optimal architecture depends critically on task modality and rejecting the assumption of a universal best architecture. Second, a controlled lambda-sweep over four orders of magnitude validates a single-parameter energy-regularized objective L = L_CE + lambda * E(theta, x): internal activation energy decreases to 6%
A New Kind of Network? Review and Reference Implementation of Neural Cellular Automata
arXiv:2604.24990v1 Announce Type: new Abstract: Stephen Wolfram proclaimed in his 2003 seminal work "A New Kind Of Science" that simple recursive programs in the form of Cellular Automata (CA) are a promising approach to replace currently used mathematical formalizations, e.g. differential equations, to improve the modeling of complex systems. Over two decades later, while Cellular Automata have still been waiting for a substantial breakthrough in scientific applications, recent research showed new and promising approaches which combine Wolfram's ideas with learnable Artificial Neural Networks: So-called Neural Cellular Automata (NCA) are able to learn the complex update rules of CA from data samples, allowing them to model complex, self-organizing generative systems. The aim of this paper is to review the existing work on NCA and provide a unified modular framework and notation, as well as a reference implementation in the open-source library NCAtorch.
AI-powered recruiting startup Dex raises $5.3 million seed round
Recruitment tool that aims to match scarce AI talent with tech companies gets backing from Notion Capital, with participation from a16z Speedrun, Concept Ventures and other.
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LLM 0.32a0 is a major backwards-compatible refactor
GPT-5.5's biggest blind spot: the Java bugs your tests won't catch
Article URL: https://www.sonarsource.com/blog/gpt-5-5-biggest-blind-spot Comments URL: https://news.ycombinator.com/item?id=47954322 Points: 1 # Comments: 0
The retrieval rebuild: Why hybrid retrieval intent tripled as enterprise RAG programs hit the scale wall
Something shifted in enterprise RAG in Q1 2026. VB Pulse data spanning January through March tells a consistent story: the market stopped adding retrieval layers and started fixing the ones it already has. Call it the retrieval rebuild. The survey covered three consecutive monthly waves from organizations with 100 or more employees, with between 45 and 58 qualified respondents per month across platform adoption, buyer intent, architecture outlook and evaluation criteria. The data should be treated as directional. Enterprise intent to adopt hybrid retrieval tripled from 10.3% to 33.3% in a single quarter — even as 22% of qualified enterprise respondents reported having no production RAG systems at all. For data engineers and enterprise architects building agentic AI infrastructure, the data reveals a market in active transition: the RAG architecture most enterprises built to scale is not the one they expect to run by year-end. Hybrid retrieval has become the consensus enterprise strate
Is AI video just a prequel? Runway’s CEO thinks world models are next
AI-generated video has gone from novelty to creative tool almost overnight, and Runway has a front row seat to the shift. The New York-based company has raised close to $860 million at a $5.3 billion valuation, and its models are going toe-to-toe with the most well-funded labs in the world, including Google and OpenAI. The technology goes way beyond […]
Parallel Web Systems hits $2B valuation five months after its last big raise
The AI agent-tool startup founded by former Twitter CEO Parag Agrawal has raised $100 million, led by Sequoia, months after raising a previous $100 million.
AI Weekly: major partner shifts and new medicine
STORY: From major partner shifts to new medicine, this is AI Weekly :: AI Weekly OpenAI is now offering its latest AI models and coding agent Codex on Amazon's cloud services platform. That’s after the ChatGPT creator loosened its ties with long-time backer Microsoft. It’s a major partner shift that came after the two firms renegotiated the exclusivity Microsoft had in selling OpenAI's models on its cloud platform. Amazon and OpenAI have been deepening ties for several months, with investments and spending commitments going both ways. ______ China moved to block Meta’s $2 billion acquisition of AI startup Manus on Monday. Beijing has tightened scrutiny of U.S. investment in domestic startups which are developing frontier technologies. That’s as Washington tries to limit Chinese tech firms' access to advanced U.S. chips. Manus relocated to Singapore to bypass Beijing’s restrictions… And it’s unclear how and if an unwinding of the acquisition could now occur. _____ Johnson & Johnson
Instacart co-founder launches hedge fund backing AI agents
Article URL: https://www.privatebankerinternational.com/news/instacart-co-founder-launches-hedge-fund-backing-ai-agents-over-portfolio-managers/ Comments URL: https://news.ycombinator.com/item?id=47943978 Points: 1 # Comments: 0
More Gemini features are coming to Google TV
Google TV just got more Gemini features, including the ability to transform photos and videos with tools Nano Banana and Veo.
DSCP Smart Fulfillment Expands Hybrid E-Commerce Solutions as Amazon FBA Fees Drive Brands to Diversify
Los Angeles, CA, April 29, 2026 (GLOBE NEWSWIRE) -- Los Angeles, CA - April 29, 2026 - - DSCP Smart Fulfillment, a US-based third-party logistics provider, reports increased demand for hybrid fulfillment for e-commerce brands as Amazon FBA fee increases push sellers to adopt multi-channel strategies. The company, which operates fulfillment centers in Los Angeles, California, and New Brunswick, New Jersey, has positioned itself to support brands transitioning from single-channel dependency to div
Definity embeds agents inside Spark pipelines to catch failures before they reach agentic AI systems
For most data engineering teams, managing pipeline reliability often means waiting for an alert, manually tracing failures across distributed jobs and clusters, and fixing problems after they've already hit the business. Agentic AI needs the data to be there, clean and on time. A pipeline that fails silently or delivers stale data doesn't just break a dashboard — it breaks the AI system depending on it. That gap is what Definity, a Chicago-based data pipeline operations startup, is building into: embedding agents directly inside the Spark or DBT driver to act during a pipeline run, not after it. One enterprise customer identified 33% of its optimization opportunities in the first week of deployment and cut troubleshooting and optimization effort by 70%, according to Definity. The company also claims customers are resolving complex Spark issues up to 10x faster. "You need three big things for agentic data operations: full stack context that is real time and production aware. Control of
Tencent used Anthropic's Claude to fine-tune it's new Hy3 AI model
Article URL: https://www.reuters.com/world/china/chinese-companies-used-claude-improve-own-models-anthropic-says-2026-02-23/ Comments URL: https://news.ycombinator.com/item?id=47942759 Points: 2 # Comments: 0
Robotics
China freezes new robotaxi licenses after Baidu chaos
A Baidu Apollo Go robotaxi in Wuhan, China. | Image: Bloomberg via Getty Images China has suspended new licenses for autonomous vehicles, Bloomberg reports, citing unnamed people familiar with the matter. The move comes after dozens of robotaxis operated by Chinese tech giant Baidu ground to a halt in traffic last month in Wuhan, creating chaos. The restrictions will prevent companies from adding new driverless cars to their fleets, expanding into new cities, or starting new test projects. It is unclear when officials will start issuing new licenses again. Bloomberg said the Wuhan incident alarmed authorities in Beijing, prompting regulators to urge local governments to review the sector to prevent similar episodes. … Read the full story at The Verge.
SkyfireAI Raises $11M to Advance Autonomous Multi-Drone Operations for Public Safety
New platform aims to reduce operator workload while enabling coordinated drone response at scale SkyfireAI has announced an $11 million seed funding round to accelerate development of its AI-driven platform for autonomous, multi-drone operations. The round was led by Mucker Capital, with participation from AI Fund, SaaS Ventures, and others. The Huntsville, Alabama-based company is […] The post SkyfireAI Raises $11M to Advance Autonomous Multi-Drone Operations for Public Safety appeared first on DRONELIFE.