Blockchain Could Clean Up Government Spending, Philippines Official Says

bitcoinistPublished on 2025-10-15Last updated on 2025-10-15

Abstract

According to Department of Information and Communications Technology (DICT) Sec. Henry Aguda, the government is taking concrete steps to test...

Trusted Editorial content, reviewed by leading industry experts and seasoned editors. Ad Disclosure

According to Department of Information and Communications Technology (DICT) Sec. Henry Aguda, the government is taking concrete steps to test whether blockchain can make the Philippine national budget more open and traceable.

He told the Malacañang Press Corps that a working prototype will be shown to senators and representatives to prove the idea can work. The move comes as lawmakers push a bill that would put budget documents and transaction records on a distributed ledger for public verification.

DICT Moves To Build Prototype

Aguda said the country has “a lot of experts on blockchain,” and that one of his tasks is to provide a minimum viable product so lawmakers can see a live demo before any full rollout.

He also mentioned that the DICT has been experimenting with stablecoin systems to trace peso transactions in banks. Reports say he will ask President Ferdinand Marcos Jr. to certify the related bill as urgent, signaling that the executive branch may press for faster action.

Senate Bill 1330, titled the “Philippine National Budget Blockchain Act,” would require the executive branch, Congress, and local governments to upload and publish their budget transactions on a blockchain.

If enacted, citizens would be able to follow allocations, bids, disbursements, and contracts on a publicly visible chain. The bill also aims to borrow features from the Full Disclosure Bill so people can compare contracts and expense reports.

Total crypto market cap currently at $3.74 trillion. Chart: TradingView

On Transparency & Security

At a Senate hearing on SB1330, the Committee on Science and Technology discussed how blockchain might help expose delays or anomalies in spending. Sen. Bam Aquino told the panel that placing records on a public ledger could make budget processes “transparent, honest, and secure.”

Advocates say the visible chain would let ordinary citizens track where funds move and spot mismatches faster than current systems allow.

Legal Expert Casts Doubt On Blockchain Budget Push

Not everyone is sold on the idea. Florin Hilbay, former Solicitor General and now dean at Silliman University College of Law, asked plainly:

“Do we really need to put the budget on a blockchain?”

Corporate Finance Institute

He warned that what starts as a promise of openness could turn into a centralized database held on a few servers run by contractors.

Hilbay also pointed to cost concerns, saying the plan allocates PhP500 million ($8.6 million) as an initial expense, and he argued that smart contracts and validator nodes add complexity and new technical risks.

Aguda said the DICT will not tap public funds for the prototype and that private groups have already offered help.

Featured image from N90, chart from TradingView

Editorial Process for bitcoinist is centered on delivering thoroughly researched, accurate, and unbiased content. We uphold strict sourcing standards, and each page undergoes diligent review by our team of top technology experts and seasoned editors. This process ensures the integrity, relevance, and value of our content for our readers.

Christian, a journalist and editor with leadership roles in Philippine and Canadian media, is fueled by his love for writing and cryptocurrency. Off-screen, he's a cook and cinephile who's constantly intrigued by the size of the universe.

Related Reads

Apple Re-invented Image Compression with AI: Same Quality, One-Third the File Size

Apple’s PICO: An AI-Powered Image Codec That Cuts File Size by Two-Thirds at Equal Perceived Quality In 2025, JPEG AI became the first international standard for learned image compression. However, it, like most codecs, still prioritizes mathematical metrics like PSNR over true perceptual quality—what the human eye finds pleasing. Apple researchers have introduced PICO (Perceptual Image Codec), a neural codec designed to optimize for human perception. It tackles key practical challenges: 1) Speed: A novel "one-shot context model" accelerates entropy encoding without sacrificing compression efficiency. 2) Artifacts: A dedicated TextFidelity loss preserves text clarity, and a TilingArtifact loss eliminates color seams between image tiles processed in parallel. 3) Control: It avoids the "hallucinations" common in GAN-based perceptual models. In a large-scale human evaluation (74,925 comparisons), PICO achieved the same perceived quality as standards like AV1, VVC, and JPEG AI while using only 30-43% of the bitrate. It also outperforms other learned perceptual codecs by 20-40%. Remarkably, it runs in 230ms (encode) and 150ms (decode) on an iPhone 17 Pro Max. While less efficient on synthetic graphics, PICO represents a significant shift from optimizing mathematical scores to directly targeting human visual experience, making high-quality perceptual compression practical for consumer devices. The work builds on expertise from WaveOne, whose team joined Apple and previously advanced neural video compression.

marsbit1m ago

Apple Re-invented Image Compression with AI: Same Quality, One-Third the File Size

marsbit1m ago

Shanghai's Leading Large Model Company Initiates A-Share Listing

Shanghai-based AI large language model leader MiniMax has initiated the process for an A-share listing in China, having filed a pre-IPO tutoring report with the Shanghai Securities Regulatory Bureau on May 29. This move positions it to compete with Zhipu AI for the title of the first major domestic LLM company to list on the A-share market. Having already completed an IPO in Hong Kong in January 2026, MiniMax's stock price has surged approximately 409% since its debut, with its market capitalization reaching around HK$263.45 billion (approximately RMB 227.55 billion) as of May 29. The company's rapid growth is supported by strong business performance. Its Annual Recurring Revenue (ARR) has grown over 100% in the past two months and now exceeds $300 million. It serves over one million global enterprise and developer clients and has around 300 million users worldwide. For the full year 2025, MiniMax reported revenue of $79.038 million, with a gross margin of 25.4%. While it reported an adjusted net loss of $250 million, the loss rate has narrowed significantly year-over-year. On the product front, MiniMax has released several flagship models this year, including MiniMax-M2.5, M2.6, and M2.7, with the first and last being open-sourced. Its models gained significant traction earlier in the year, briefly becoming the top model provider by usage share on the OpenRouter platform in February. The company has also upgraded its AI agent product, now named Mavis, and is preparing to launch its next-generation MiniMax-M3 model. Technical previews indicate M3 will feature a novel "MiniMax Sparse Attention" mechanism, promising substantial improvements in inference speed. MiniMax's push for an A-share listing reflects a broader trend among China's leading AI firms, including Zhipu AI, Moonshot AI, StepFun, and 01.AI, to seek public listings. This strategy aims to secure broader financing channels to support the immense computational costs and ongoing commercialization efforts inherent in developing advanced large language models.

marsbit4m ago

Shanghai's Leading Large Model Company Initiates A-Share Listing

marsbit4m ago

Trading

Spot
Futures
活动图片