Software

• Moreh, an AI infrastructure software company led by CEO Gangwon Jo, announced successful validation of large language model inference performance, advancing the company's platform for optimizing AI workloads. • The validation marks progress in Moreh's mission to simplify LLM deployment and reduce computational overhead, addressing a critical bottleneck for enterprises scaling AI applications. • This development reflects the broader industry focus on AI infrastructure optimization as companies seek cost-effective solutions for running sophisticated language models at scale.

• At CETaS conference on May 1, 2026, director Alexander Babuta highlighted Anthropic’s Claude Mythos Preview's advances in math, cybersecurity, software engineering, and vulnerability detection. • The frontier model promises improved automated tools for security professionals. • Experts express optimism on AI's defensive potential against powered hacking threats.

• Anthropic announced a new frontier AI model on April 16, 2026, capable of advanced performance that sent shockwaves through the tech industry. • Investors reacted negatively, resuming an AI-driven slump in software stocks as the model's capabilities raised concerns over market dynamics. • The release highlights ongoing US AI breakthroughs and their immediate impact on Wall Street valuations.

• Anthropic announced Project Glasswing, a collaborative initiative involving Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, NVIDIA, and Palo Alto Networks to secure critical software infrastructure. • The initiative provides select firms access to Claude Mythos2 preview model for defensive cybersecurity work, which has reportedly identified thousands of severe vulnerabilities in major operating systems and browsers. • The program aims to give defenders a durable advantage in the AI-driven cybersecurity era while controlling access to prevent misuse by attackers.

• Anthropic launched Claude Mythos, a cybersecurity AI model that has discovered thousands of zero-day bugs, enhancing defenses against exploits. • The preview version identifies vulnerabilities in open-source projects and will soon charge for detailed release information to clients. • While boosting cybersecurity, the tool raises concerns over potential misuse by threat actors to weaponize the findings.

AI company says purpose of its Claude Mythos model is to bolster defenses against hacking in common applicationsAnthropic on Tuesday said its yet-to-be-released artificial intelligence model called Claude Mythos has proven keenly adept at exposing software weaknesses.Mythos has laid bare thousands of vulnerabilities in commonly used applications for which no patch or fix exists, prompting the San Francisco-based AI startup to form an alliance with cybersecurity specialists to bolster defenses against hacking and withhold wide distribution. Continue reading...

• Anthropic announced Project Glasswing, a cybersecurity initiative bringing together AWS, Apple, Broadcom, Cisco, CrowdStrike, Google, Microsoft, Nvidia, and Palo Alto Networks to identify and fix software vulnerabilities using its Claude Mythos Preview model. • The Claude Mythos Preview model achieves 93.9% accuracy on SWE-bench Verified, significantly outperforming Opus 4.6's 80.8%, and demonstrated the ability to find thousands of hidden bugs in critical systems. • Anthropic is committing up to $100 million in usage credits for Project Glasswing, plus $4 million in direct donations to open-source security organizations to strengthen cybersecurity infrastructure.

• Depthfirst, an applied AI lab specializing in software security, closed an $80 million Series B funding round led by Meritech Capital. • The funding will support the company's development of AI-driven tools to enhance software security and vulnerability detection. • This investment reflects growing venture capital interest in AI applications addressing critical cybersecurity challenges in enterprise software development.

Nearly 2,000 internal files were briefly leaked after ‘human error’, raising fresh security questions at the AI companyAnthropic accidentally released part of the internal source code for its AI-powered coding assistant Claude Code due to “human error”, the company said on Tuesday.An internal-use file mistakenly included in a software update pointed to an archive containing nearly 2,000 files and 500,000 lines of code, which were quickly copied to developer platform GitHub. A post on X sharing a link to the leaked code had more than 29m views early on Wednesday, and a rewritten version of the source code quickly became GitHub’s fastest-ever downloaded repository. Anthropic issued copyright takedown requests to try to contain the code’s spread. Within the code, users spotted blueprints for a Tamagotchi-esque coding assistant and an always-on AI agent, per the Verge. Continue reading...

• Marquis Software Solutions filed a lawsuit against SonicWall, blaming it for a August 2025 cybersecurity breach that exposed data of over 400,000 people. • The suit claims hackers used credentials stolen in a prior SonicWall incident to bypass Marquis' firewall. • Marquis seeks damages for negligence, unjust enrichment, and indemnity, highlighting supply chain vulnerabilities in cybersecurity.

Glasses use verbal cues and floating text to assist wearers and are expected to be available in early 2027AI software that can be embedded into smart glasses has won a £1m prize for technology to help people with dementia.Built into chunky, black-rimmed frames that have a camera, microphone and speakers, the tech – known as CrossSense – guides wearers through everyday life by means of a chatty assistant called Wispy. Continue reading...

• Elon Musk has unveiled 'Macrohard,' a Tesla-xAI agent that combines Grok and screen-reading technology to automate entire software company operations, representing a significant step toward autonomous software development. • The system runs on Tesla's AI4 infrastructure and demonstrates the convergence of multiple AI capabilities—natural language processing and computer vision—to handle complex software engineering tasks. • This development signals accelerating competition in AI agent technology beyond traditional model training, as companies race to deploy autonomous systems that can perform knowledge work at scale.