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Quick answer Daily AI news for vibe coders. July 31, 2026: OpenAI cuts GPT-5.6 Luna 80%, Nscale buys Anyscale, Gemini Robotics 2, plus one build to ship today. 5 min read · Updated July 31, 2026 Welcome to the daily AI news brief for vibe coders. It is Friday, July 31, 2026, and the last 24 hours were about cost and consolidation. OpenAI slashed a frontier model’s price, an infrastructure buyer scooped up the company behind Ray, and Google pushed AI deeper into physical robots. If you ship on Shopify, Claude, GPT, Gemini, or Firebase, the pricing news alone changes the math on what you can afford to build this weekend. TL;DR OpenAI cut GPT-5.6 Luna’s price by roughly 80%, making bulk API work far cheaper. Nscale agreed to buy Anyscale for about $1.65B; Ray stays open under the PyTorch Foundation. Google DeepMind shipped Gemini Robotics 2, a three-model suite for whole-body humanoid control. The EU opened a €10B call for up to seven AI gigafactories, bids closing November 12. AWS posted $42.2B in Q2 revenue, its fastest growth in 18 quarters. Build of the day: route one bulk task to Luna and measure the new cost per run. OpenAI cuts GPT-5.6 Luna price roughly 80% [ECOSYSTEM] What shipped. OpenAI sharply cut the price of GPT-5.6 Luna, its most cost-efficient tier, with input and output dropping from about $1 and $6 to roughly $0.20 and $1.20 per million tokens. GPT-5.6 Terra, the balanced everyday model, saw a smaller cut of about 20%. The move landed roughly three weeks after

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Long before Spotify, Winamp was the music player of choice for millions of music fans. Now, the nostalgic brand is preparing for yet another comeback. Winamp and Deezer announced a partnership on Wednesday that will see Deezer power Winamp’s upcoming premium music subscription service. Under the agreement, Winamp will leverage Deezer’s white-label technology and global licensed music catalog while maintaining its own branding and user experience. The partnership is part of a larger relaunch centered around the next-generation Winamp Player, scheduled to arrive in the first half of 2027. According to the companies, the new player is designed to “reinvent the music player for the streaming era” by combining premium music streaming with users’ local music libraries, internet radio stations, podcasts, personal cloud-based collections, and other audio sources within a single app. While a lot of the details remain under wraps, Winamp promises an emphasis on personalization through a customizable interface, social features, and ways to discover, organize, and enjoy music. The company asserts that its subscription service will “deliver a fundamentally different experience from today’s traditional digital streaming platforms.” Though loyal Winamp users who grew up during the MP3 boom are likely to be excited by this news, it’s unclear whether many people will choose to pay for yet another music subscription. The streaming market is already saturated with giants like Spotify, Apple Mus

Pages from the Anthropic website and the company’s logo are displayed on a computer screen in New York, Feb. 26, 2026. (AP Photo/Patrick Sison, File) By CHAN HO-HIM Leer en español Add AP News on Google Add AP News as your preferred source to see more of our stories on Google. Share Share Facebook Copy Link copied Print Email X LinkedIn Bluesky Flipboard Pinterest Reddit Anthropic said its artificial intelligence models hacked into three other organizations during testing, just days after ChatGPT maker OpenAI raised concerns over AI controls after it disclosed its rogue models hacked another company. Anthropic, the San Francisco-based AI company behind Claude , posted on its website Thursday that it discovered the three incidents after reviewing more than 141,000 evaluation runs. It had launched a “large-scale” cybersecurity review which specifically looked for evidence whether its AI models were able to access the internet from within testing environments that should have been sealed off, in response to the OpenAI incident, Anthropic said. Anthropic said the models involved in the incidents were Claude Opus 4.7, Claude Mythos 5 and an internal research test model. The earliest incidents date to April, the AI company said. “Claude compromised the impacted organizations’ infrastructure using basic techniques,” Anthropic said, such as exploiting weak passwords. In all three incidents, the AI models were tasked with a “capture the flag” cybersecurity challenge, which Anthropic s

As AI reshapes institutions, industries, and economies, innovation has gained the spotlight. We celebrate breakthroughs in models, advances in science and engineering, and a new wave of startups promising to redefine entire industries. Yet, in boardrooms, an uncomfortable pattern is emerging: the organizations that talk the most about AI “innovation” are often the least able to turn it into measurable outcomes. The defining challenge of the AI era is no longer invention alone. It is execution—the ability to translate intelligence into durable changes in how a business actually runs. Every major technological era eventually reaches a point where the limiting factor is no longer the technology itself, but the system around it. Electricity did not transform economies until factories were redesigned to use it. The internet did not unlock productivity until businesses rewired processes around digital workflows rather than bolting websites onto analog operations. AI has reached that same inflection point. What we are seeing today is not a shortage of experimentation. Enterprises and public institutions are running pilots and proofs of concept at a dizzying pace. Yet too many initiatives stall because they sit on top of legacy systems, rigid processes, and governance structures built for a pre‑AI world. When the core architecture of the business remains unchanged, AI becomes decoration—a thin layer of intelligence applied to workflows that were never designed to absorb continuous in

ImmoLens – KI-gestützte Immobilienanalyse & Förder-Optimierung ImmoLens – KI-gestützte Immobilienanalyse ImmoLens analysiert Immobilien-Exposés mit künstlicher Intelligenz: versteckte Kosten erkennen, Sanierungsbedarf bewerten und KfW/BAFA/L-Bank Förderungen optimieren. So funktioniert's Exposé hochladen – PDF, Screenshots oder Text des Inserats einfügen (oder per Chrome-Erweiterung mit einem Klick importieren) KI analysiert – Unsere KI erkennt versteckte Kosten, Sanierungsbedarf und Risiken Förderungen finden – Automatische Prüfung auf KfW, BAFA und L-Bank Programme Fundiert entscheiden – Mit allen Fakten sicher verhandeln und kaufen Features Automatische KI-Analyse von Exposés und Energieausweisen Förder-Optimierung: KfW 124, KfW 358, KfW 261, BAFA, L-Bank Finanzierungsrechner mit Budget-Stresstest Risiko-Check für versteckte Kosten Interaktive Kartenansicht aller analysierten Immobilien Verhandlungsassistent mit KI-gestützten Preisempfehlungen Häufig gestellte Fragen Ist ImmoLens kostenlos? Ja! die Basisversion mit KI-Analyse und Förder-Check ist dauerhaft kostenlos. Für Premium-Features wie unbegrenzte Projekte und Verhandlungsassistent gibt es Plus- und Pro-Abos. Wie genau ist die KI-Analyse? ImmoLens nutzt Google Gemini in der aktuellen Modellgeneration und gleicht die Ergebnisse mit aktuellen Marktdaten ab. Die Analyse wird durch strukturierte Datenextraktion ergänzt. Sind meine Daten sicher? Ja. Alle hochgeladenen Dateien werden verschlüsselt gespeichert (AES-256). Zu

From August 2, Brussels gains sweeping powers over the world's largest AI models. The real test is whether the Commission is willing, and equipped, to use them. Grok AI Advisor app on smartphone against European Union flag backdrop. (Ascannio) By Peder Schaefer Peder Schaefer is a Brussels-based journalist. 31 Jul 2026 Share this page After years of negotiation and regulatory fine-tuning, the European Union will gain sweeping new powers on Sunday to police large general purpose AI models — the versatile, behind-the-scenes AI systems that power the chatbots, image generators and enterprise tools that are how most people interact with AI. From August 2, the Commission will be able to demand information from model providers, conduct safety evaluations, order corrective measures, pull models off the EU market and even impose fines of up to 3% of annual total turnover. The new mandate will place the EU at the global frontier of global AI safety regulation. But whether those powers actually matter depend on one question: Will the Commission be willing, and able, to use them? Strong enforcement would signal that Brussels is ready to uphold its AI rules even if doing so creates friction with the United States or China, home to most leading model providers. Hesitation, by contrast, would reinforce the criticism that the EU is a whole lot better at writing laws than making powerful companies follow them. “Enforcement depends on the willingness at a political level to enforce the law an