Crypto Allies Gain Ground In Congress After Indiana Primary Win

bitcoinistОпубліковано о 2026-05-08Востаннє оновлено о 2026-05-08

Анотація

The crypto industry's main political action committee, Fairshake, spent heavily to support the successful primary re-election of Indiana Republican Representative James Baird, a reliable ally on crypto legislation. Fairshake, backed by major firms like Coinbase and Ripple, has a massive war chest and is already directing millions toward other 2026 races. Baird's win coincides with advancing crypto bills in Congress, including the CLARITY Act, which recently overcame a key hurdle on stablecoin yield provisions. However, the legislation faces scrutiny, with some senators demanding added ethics rules before offering their support.

A war chest of $193 million. That’s what Fairshake, the crypto industry’s most powerful political action committee, reported holding as of January — and it’s spending that money fast.

Money Behind The Win

Indiana Republican James Baird cruised to victory Tuesday in his party’s primary for the state’s 4th congressional district, pulling in over 60% of the vote against challenger Craig Haggard and a handful of others.

Baird also had the backing of US President Donald Trump. But another force was working in his favor: Defend American Jobs, a Super PAC tied to Fairshake, poured roughly $514,000 into media buys supporting him ahead of the vote, according to filings with the Federal Election Commission.

Fairshake itself is bankrolled by some of the biggest names in crypto, including Coinbase and Ripple Labs. The committee spent over $130 million trying to shape the outcome of the 2024 elections. In 2026, it’s already at it again — about $10 million has been directed toward races in Illinois and Texas so far.

Source: NBC News

A Reliable Vote For The Industry

Baird has been in Congress since January 2019 and has built a record that crypto advocates consider dependable. He backed the GENIUS Act, which deals with stablecoin regulation, and the CLARITY Act, a bill focused on crypto market structure. For Fairshake, he was worth protecting.

“Representative Baird has been a proven leader for pro-job, pro-consumer, and pro-innovation policies in Congress,” a Fairshake spokesperson said.

“We’re proud to support leaders committed to responsible regulation that ensures the US remains the global leader in innovation.”

Baird reportedly thanked Trump publicly following his win.

BTCUSD trading at $80,137 on the 24-hour chart: TradingView

Legislation Moves Forward

The Indiana result comes as crypto-related legislation picks up momentum in Washington. Last week, Senators Thom Tillis and Angela Alsobrooks said they had finalized language in the CLARITY Act to include a compromise on stablecoin yield — a sticking point that had held up the bill for months.

The Senate Banking Committee had not yet scheduled a markup as of Wednesday, but many observers expect the stablecoin agreement to push the broader market structure legislation forward.

Trump’s relationship with the crypto industry has drawn scrutiny alongside these developments. Several senators have said they won’t support the CLARITY Act without ethics provisions attached to it.

Senator Tillis was among those who stated publicly he would not back the bill without such guardrails in place.

Featured image from MetaAI, chart from TradingView

Пов'язані питання

QWhat is Fairshake and how much money did it report holding as of January?

AFairshake is the crypto industry's most powerful political action committee (Super PAC). It reported holding a war chest of $193 million as of January.

QHow did the crypto-linked Super PAC support James Baird in the Indiana primary?

ADefend American Jobs, a Super PAC tied to Fairshake, poured roughly $514,000 into media buys supporting James Baird ahead of the Indiana Republican primary vote.

QWhat two crypto-related bills has Representative James Baird backed in Congress?

ARepresentative James Baird has backed the GENIUS Act, which deals with stablecoin regulation, and the CLARITY Act, a bill focused on crypto market structure.

QAccording to the article, what recent development has helped move the CLARITY Act forward?

ASenators Thom Tillis and Angela Alsobrooks finalized language in the CLARITY Act to include a compromise on stablecoin yield, a sticking point that had held up the bill for months.

QWhat condition have several senators, including Thom Tillis, placed on their support for the CLARITY Act?

ASeveral senators, including Thom Tillis, have stated they will not support the CLARITY Act without ethics provisions attached to it.

Пов'язані матеріали

Telegram Takes Direct Control of TON, Social Traffic Reshapes Public Chain Narrative

Telegram's founder, Pavel Durov, has announced a major shift in the development of The Open Network (TON). Telegram will now become the core driver of TON, replacing the TON Foundation and becoming its largest validator. The focus will be on technical upgrades over the next few weeks, including slashing network fees by six times to near-zero and improving finality time to 0.6 seconds. This move signifies a deeper integration between Telegram and TON, moving beyond just providing a user base. The goal is to transform Telegram's vast social traffic and built-in features—like Mini Apps, payments, and bots—into sustainable, on-chain usage scenarios. The reduced fees and faster speeds are crucial for enabling the small, frequent transactions typical of social interactions. While this promises stronger execution and product alignment, it raises questions about centralization. Durov argues Telegram's involvement will attract more validators, enhancing decentralization, but the outcome remains to be seen. Additionally, TON's high annual staking reward of 18.8% aims to retain capital within the ecosystem. The key challenge for TON is no longer just leveraging Telegram's entry point, but becoming an invisible, seamless infrastructure layer within Telegram's daily use. Its success hinges on converting viral attention into lasting, embedded utility.

Odaily星球日报3 хв тому

Telegram Takes Direct Control of TON, Social Traffic Reshapes Public Chain Narrative

Odaily星球日报3 хв тому

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

OpenAI engineer Weng Jiayi's "Heuristic Learning" experiments propose a new paradigm for Agentic AI, suggesting that intelligent agents can improve not just by training neural networks, but also by autonomously writing and refining code based on environmental feedback. In the experiment, a coding agent (powered by Codex) was tasked with developing and maintaining a programmatic strategy for the Atari game Breakout. Starting from a basic prompt, the agent iteratively wrote code, ran the game, analyzed logs and video replays to identify failures, and then modified the code. Through this engineering loop of "code-run-debug-update," it evolved a pure Python heuristic strategy that achieved a perfect score of 864 in Breakout and performed competitively with deep reinforcement learning (RL) algorithms in MuJoCo control tasks like Ant and HalfCheetah. This approach, termed Heuristic Learning (HL), contrasts with Deep RL. In HL, experience is captured in readable, modifiable code, tests, logs, and configurations—a software system—rather than being encoded solely into opaque neural network weights. This offers potential advantages in explainability, auditability for safety-critical applications, easier integration of regression tests to combat catastrophic forgetting, and more efficient sample use in early learning stages, as demonstrated in broader tests on 57 Atari games. However, the blog acknowledges clear limitations. Programmatic strategies struggle with tasks requiring long-horizon planning or complex perception (e.g., Montezuma's Revenge), areas where neural networks excel. The future vision is a hybrid architecture: specialized neural networks for fast perception (System 1), HL systems for rules, safety, and local recovery (also System 1), and LLM agents providing high-level feedback and learning from the HL system's data (System 2). The core proposition is that in the era of capable coding agents, a significant portion of an AI's learned experience could be maintained as an auditable, evolving software system.

marsbit1 год тому

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

marsbit1 год тому

Your Claude Will Dream Tonight, Don't Disturb It

This article explores the recent phenomenon of AI companies increasingly using anthropomorphic language—like "thinking," "memory," "hallucination," and now "dreaming"—to describe machine learning processes. Focusing on Anthropic's newly announced "Dreaming" feature for its Claude Agent platform, the piece explains that this function is essentially an automated, offline batch processing of an agent's operational logs. It analyzes past task sessions to identify patterns, optimize future actions, and consolidate learnings into a persistent memory system, akin to a form of reinforcement learning and self-correction. The article draws parallels to similar features in other AI agent systems like Hermes Agent and OpenClaw, which also implement mechanisms for reviewing historical data, extracting reusable "skills," and strengthening long-term memory. It notes a key difference from human dreaming: these AI "dreams" still consume computational resources and user tokens. Further context is provided by discussing the technical challenges of managing AI "memory" or context, highlighting the computational expense of large context windows and innovations like Subquadratic's new model claiming drastically longer contexts. The core critique argues that this strategic use of human-centric vocabulary does more than market products; it subtly reshapes user perception. By framing algorithms with terms associated with consciousness, companies blur the line between tool and autonomous entity. This linguistic shift can influence user expectations, tolerance for errors, and even perceptions of responsibility when systems fail, potentially diverting scrutiny from the companies and engineers behind the technology. The article concludes by speculating that terms like "daydreaming" for predictive task simulation might be next, continuing this trend of embedding the idea of an "inner life" into computational processes.

marsbit1 год тому

Your Claude Will Dream Tonight, Don't Disturb It

marsbit1 год тому

Торгівля

Спот
Ф'ючерси

Популярні статті

Як купити WIN

Ласкаво просимо до HTX.com! Ми зробили покупку WINkLink (WIN) простою та зручною. Дотримуйтесь нашої покрокової інструкції, щоб розпочати свою криптовалютну подорож.Крок 1: Створіть обліковий запис на HTXВикористовуйте свою електронну пошту або номер телефону, щоб зареєструвати обліковий запис на HTX безплатно. Пройдіть безпроблемну реєстрацію й отримайте доступ до всіх функцій.ЗареєструватисьКрок 2: Перейдіть до розділу Купити крипту і виберіть спосіб оплатиКредитна/дебетова картка: використовуйте вашу картку Visa або Mastercard, щоб миттєво купити WINkLink (WIN).Баланс: використовуйте кошти з балансу вашого рахунку HTX для безперешкодної торгівлі.Треті особи: ми додали популярні способи оплати, такі як Google Pay та Apple Pay, щоб підвищити зручність.P2P: Торгуйте безпосередньо з іншими користувачами на HTX.Позабіржова торгівля (OTC): ми пропонуємо індивідуальні послуги та конкурентні обмінні курси для трейдерів.Крок 3: Зберігайте свої WINkLink (WIN)Після придбання WINkLink (WIN) збережіть його у своєму обліковому записі на HTX. Крім того, ви можете відправити його в інше місце за допомогою блокчейн-переказу або використовувати його для торгівлі іншими криптовалютами.Крок 4: Торгівля WINkLink (WIN)Легко торгуйте WINkLink (WIN) на спотовому ринку HTX. Просто увійдіть до свого облікового запису, виберіть торгову пару, укладайте угоди та спостерігайте за ними в режимі реального часу. Ми пропонуємо зручний досвід як для початківців, так і для досвідчених трейдерів.

283 переглядів усьогоОпубліковано 2024.12.11Оновлено 2025.03.21

Як купити WIN

Обговорення

Ласкаво просимо до спільноти HTX. Тут ви можете бути в курсі останніх подій розвитку платформи та отримати доступ до професійної ринкової інформації. Нижче представлені думки користувачів щодо ціни WIN (WIN).

活动图片