Anthropic Seeks Public’s Toughest AI Questions in Bold Initiative

The post UST Integrates Anthropic’s Claude AI Across Engineering Systems appeared on BitcoinEthereumNews.com. James Ding Jul 10, 2026 01:17 UST partners with Anthropic to deploy Claude AI in chip manufacturing, healthcare, and banking, transforming engineering workflows globally. Anthropic, the $350 billion AI research powerhouse, has partnered with technology services firm UST to integrate its Claude AI into critical engineering and industrial workflows. The collaboration will deploy Claude across UST’s global client base in sectors like semiconductors, automotive, healthcare, and banking, with the aim of accelerating production, reducing errors, and improving efficiency. UST, which supports companies in designing and validating chips, running factories, and managing connected devices, is embedding Claude into its engineering systems. Notably, UST’s iDEC platform—a tool for validating hardware and silicon—will now feature Claude as a reasoning layer. By automating re

The post SKYAI nears October 2025 lows as manipulation concerns weigh on sentiment appeared on BitcoinEthereumNews.com. In mid-June, SkyAI [SKYAI] witnessed some short-term bullish momentum. The $0.20 key support zone was defended, and a 216% rally from $0.151 to $0.479 occurred in a week. However, the bears have regained control of the market since then. The altcoin has fallen 92% since the $0.479 high. Researcher Freeman wrote in a post on X that the crash wasn’t the fade of an organic AI hype. Using Nansen data, whales dumping SKYAI during bounces, such as the mid-June one to $0.47, were detailed. The post succinctly broke down the manipulation playbook. Parabolic narrative pump → concentrated supply in few wallets → heavy distribution into retail FOMO → violent dump. Bubblemaps had also flagged patterns it said were consistent with potential market manipulation on centralized exchanges. The pattern was something investigator ZachXBT had also been warning of, in relation to RAVE. AM

AI breakthroughs in solving complex math problems could revolutionize cryptographic algorithms, enhancing security and efficiency. The post Grok 4.5 just solved a math problem that stumped humans for decades, and here’s why crypto should pay attention appeared first on Crypto Briefing.

The advantages promised by AI could be self-defeating for consumer brands, argues Gavekal’s Louis Gave. That would undermine investors’ ability to value companies.

The post What Is Meta’s AI Muse Spark and Can It Overthrow Claude and ChatGPT? appeared on BitcoinEthereumNews.com. Meta launched Muse Spark 1.1 on July 9. The company priced its first paid AI model far below Anthropic’s Claude and OpenAI’s ChatGPT. The move puts Meta squarely in the coding and agentic AI market, which both rivals currently dominate. The launch marks a sharp shift from Meta’s open-source Llama strategy. AI chief Alexandr Wang said Meta built the pricing to compete directly with the two market leaders. Muse Spark’s Aggressive Pricing Play Meta priced the new model at $1.25 per million input tokens and $4.25 per million output tokens. New accounts get $20 in free credits before billing starts. Muse Spark 1.1 undercuts all major AI rivals on price. Its $1.25 input rate runs 37% below Sonnet 5’s introductory $2 and 75% below Opus 4.8 and GPT-5.5, which both charge $5. The output side shows an even wider gap. Meta’s $4.25 rate sits 58% below Sonnet 5’s introductory $10, 83%

The post GENIUS Act Establishes First U.S. Stablecoin Framework appeared on BitcoinEthereumNews.com. Darius Baruo Jul 09, 2026 20:38 The GENIUS Act marks a regulatory milestone for U.S. payment stablecoins, setting reserve, redemption, and licensing standards. The GENIUS Act, signed into law by President Donald Trump on July 18, 2025, has created the first comprehensive federal regulatory framework for payment stablecoins in the United States. Effective by January 2027 or sooner, the legislation tackles reserve requirements, licensing, and consumer protections, addressing a long-standing regulatory void in the crypto space. What the GENIUS Act Covers The law applies exclusively to “payment stablecoins”—digital assets pegged to fiat currencies, redeemable on demand, and intended for use as a means of payment. Notably, algorithmic stablecoins and asset-referenced tokens fall outside its scope. Issuers must adhere to stringent requirements, including: Reserves: One-to-on

Enterprises are using AI to write more code than ever before; anywhere between 25% and 75%, depending on who you ask. This means developers are moving to other parts of the process, where they run into whole new sets of problems. IBM rolled out its IBM Bob agentic software development platform earlier this year to help developers across the entire software development lifecycle (SDLC), rather than just in single interfaces or isolated tasks. To build out the platform, IBM Thursday announced a series of updates, including new multi-agent capabilities, parallel tool calling, and built-in cost and use analytics. The company also announced three specialized workflows geared specifically to Java modernization, its IBM i operating system (OS), and its mainframe architecture, IBM Z. “What makes IBM Bob different is that IBM did not build it as another point coding assistant,” said Michael Kwok, VP of IBM Bob. “The market conversation has moved from ‘which model writes code fastest?’ to ‘which

The post OpenAI Launches GeneBench-Pro to Test AI in Biology appeared on BitcoinEthereumNews.com. Jessie A Ellis Jul 09, 2026 17:50 OpenAI’s GeneBench-Pro evaluates AI’s ability to handle complex genomic and biological research tasks, with 129 synthetic problems testing real-world decision-making. OpenAI has unveiled GeneBench-Pro, a cutting-edge benchmark targeting AI performance in computational biology, genomics, and translational medicine. Released on June 30, 2026, this research-level tool is designed to push AI beyond routine data handling into the realm of judgment-heavy, real-world scientific reasoning. GeneBench-Pro builds on the earlier GeneBench framework, now tackling more complex tasks across 129 meticulously designed problems. These problems simulate real-world scenarios, requiring AI systems to analyze messy datasets, revise assumptions, and make iterative decisions—tasks that mirror the nuanced workflows of human researchers. According to OpenAI, this