Building, experimenting, and shipping Android games one project at a time.
Google Play Developer page up and running ๐ฎ๐ฑ
More games, experiments, and weird little ideas coming soon.
๐ Check out my apps & games:
https://t.co/bKuxeZsjNJ
#IndieDev #AndroidDev #GameDev #GooglePlay #SoloDev #MadeWithAI
It's all fun and games with this new model! Until you start feeling it and our weekly limit hits like a MF.... Days without tokens waiting for a reset. I'm not a fan of Claude much but it provides more coding hours/days. This needs to be addressed if you are dead serious in this game or pull the trigger and send it to the Google Grave. Big love but waiting 3 days for a reset is killing the vibe.
@GlobalDiss Why is the EU rooting for a war instead of peace. Because money disappears into pockets. Like Russia is pure evil? The only evil here is the warmongers of the EU.
Why we build HASHCUBE?
IPFS hashes, technically known as Content Identifiers (CIDs), are unique, cryptographic, and immutable alphanumeric strings that act as fingerprints for data stored on the InterPlanetary File System.
Unlike traditional URLs that tell you where a file is, IPFS hashes identify what the file is, allowing for decentralized content retrieval.
Key aspects of IPFS hashes include:
Content Addressing: The hash is generated from the content itself (usually via SHA-256), meaning if the content changes, the hash changes completely.
Immutability: Once a file is added to IPFS, its content hash remains the same, ensuring data integrity (data cannot be tampered with without changing the address).
Multihash Format: IPFS uses a self-describing format called MultiHash to identify content, peers, and keys, which allows for future updates to cryptographic hash functions.
Deduplication: Because the hash is based on content, identical files uploaded multiple times will result in the same hash, saving storage space.
CID Structure: Modern IPFS hashes (v1) contain a multibase prefix (encoding), a CID version, and a multicodec identifier to define the content format.
These hashes are used to retrieve files across a peer-to-peer network rather than from a central server.
#ipfs #privacy #hash #CID #conspiracy #EpsteinFiles #P2P
https://t.co/sOdDlYZvDR
This report from Anthropic details various threat actor operations identified and stopped by their team between late 2025 and mid-2026. The text documents how groups ranging from state-sponsored entities to solo cybercriminals utilized AI models to enhance malicious activities like cyberattacks, espionage, and disinformation campaigns. Significant cases include autonomous hacking workflows by Russian and Chinese groups, as well as the creation of fake news networks designed to manipulate elections globally. The findings illustrate a shift where AI reduces the skill barrier for complex surveillance and large-scale fraud. Anthropic emphasizes their commitment to sharing intelligence with industry partners to strengthen global safeguards against the evolving misuse of artificial intelligence.
Anthropic has launched Claude Fable 5.1, a new AI model recognized for its superior intelligence and ability to handle complex, autonomous tasks like building websites or creating detailed presentations. This updated version stands out by using more natural language and being significantly faster than its predecessor, making advanced AI more accessible for everyday office work. While the model is theoretically cheaper due to reduced costs for processing repeated data, its tendency to generate high volumes of text means actual expenses may vary for enterprise users. The release marks a major milestone in AI transparency as the first model to include an invisible watermark to comply with European regulations. Despite these advancements, users should remain cautious, as the model occasionally over-delivers on instructions or provides excessive citations that require manual verification. Overall, Fable 5.1 positions itself as a market leader in independent problem-solving, even outperforming competitors in deciphering historical mysteries.
Google has announced the release of Gemini 3.8, marking a significant advancement in their artificial intelligence capabilities shortly after their previous update. This latest generation introduces two primary versions: Gemini 3.8 Flash, designed for high-speed coding and complex reasoning, and Gemini 3.8 Flash Cyber, which specializes in cybersecurity tasks. By utilizing agentic loops, these models offer improved performance for developers and enterprises while maintaining the same efficiency and low cost as earlier iterations. The new tools are being integrated across various platforms, including Google AI Studio and consumer-facing applications like the Gemini App. This update demonstrates Google's rapid pace of innovation in creating intelligent workhorse models for diverse technical needs.