What if you could segment anything in both images and videos using just a conversation? Researchers from Sun Yat-Sen University, Peng Cheng Laboratory, and Meituan present X2SAM. It pairs a large language model with a Mask Memory module to generate temporally consistent masks
SECURITY
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Anthropic’s Mythos model: release plans amidst quality and exploit findings
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"We look forward to making Mythos-class models available through general release" I don't understand Anthropic's strategy regarding Mythos. On the one hand, everyone is saying that Mythos has achieved the expected quality and is finding bugs and exploits that no other model has
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OpenAI and Anthropic’s contrasting AI launches in 2026 cinema
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OpenAI: carefully rolls out GPT-5.5-Cyber through Trusted Access for verified defenders Anthropic: “Claude Mythos is too powerful for public release” Also Anthropic: accidentally shows Mythos in the UI and immediately runs out of capacity 2026 AI launches are absolut cinema.
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Security already compromised, open source client software, Mythos accelerates.
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Security is already screwed btw Even Opus 4.6 and GPT 5.4 unlocked too much already, imo. Client side software is basically open source now. Mythos will just accelerate it.
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Avoiding prompt injection attacks to prevent data exfiltration
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I have a lot I need to write about that – I've been very careful to avoid any way that a prompt injection attack could exfiltrate data
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Mythos surpasses GPT 5.5 but raises security concerns
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1. Agree with @scaling01: Mythos seems to be a better GPT 5.5 on many indicators.
2. Mythos is definitely a major call for vigilance regarding security, and will pose problems for real-world systems that are not well protected. As @scaling01 -
Anthropic’s Powerful Cybersecurity AI Model Shared Selectively After Revealing 10,000+ Vulnerabilities
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Anthropic created a cybersecurity model so dangerous that it decided not to release it to the public. Instead, it gave it to companies like Apple, Google, Microsoft, AWS, and Cloudflare. And in just one month:
→ 10,000+ vulnerabilities found
→ bugs hidden for 27 years -
Data Poisoning Risk in Edge AI Systems
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Did you know? Data poisoning emerges as a new risk for edge AI systems. Traditional cybersecurity focuses on network perimeters but edge AI requires validating data quality at the source. Partner content with TDK SensEI. #TDK_iioT pic.twitter.com/YBmV9x1gtC
— Lucian Fogoros (@fogoros) 23 mai 2026Did you know? Data poisoning emerges as a new risk for edge AI systems. Traditional cybersecurity focuses on network perimeters but edge AI requires validating data quality at the source. Partner content with TDK SensEI. #TDK_iioT
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FASTER: Reacting Quickly to Changing Environments
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Why can't robots react instantly to fast-changing environments? Researchers from HKU and ACE Robotics introduce FASTER. Instead of running all sampling steps before any movement, it uses a Horizon-Aware Schedule to compress the immediate action into a single denoising step.
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No staging, live production builds on VPS, Claude Code only failed twice
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Every bug fix or new feature on any of my sites I now built live on my VPS, in production, without any staging Claude Code only failed me 2x in 12 months, it made a small bug and the site was down for 2x 5 seconds It never lost any data I also have 3-2-1 Backup strategy, with