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Fastino Launches Pioneer, the First Agent for Fine-tuning and Inference of LLMs

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Pioneer turns language model development and fine-tuning from a months-long, expert-driven workflow into a single prompt and introduces adaptive inference, a new category in model serving where deployed models continuously improve on live production data, without human intervention.

PALO ALTO, Calif., Apr. 21, 2026 /PRNewswire/ — Fastino Labs, the applied AI research lab behind the widely adopted open source GLiNER model family, today announced the launch of Pioneer, a state-of-the-art language model fine-tuning agent and adaptive inference platform for open source small language models. With Pioneer, any developer can fine-tune and deploy production-ready models like Qwen, Gemma, Llama, Nemotron, and GLiNER with a single prompt.

Pioneer is the first platform to bring adaptive inference to production: a new approach to model serving in which deployed models are continuously and autonomously retrained on their own live inference data, with improved checkpoints automatically validated and promoted over time. The era of “deploy and forget” for language models has arrived.

“We believe that the future will not just be a few large models, but billions of small models working together. However, in reality, building language models today is extremely difficult,” said Ash Lewis, CEO and co-founder of Fastino. “Pioneer collapses that into a prompt. And once your model is deployed, it keeps getting better on its own. For the first time, the model you ship on day one is the worst model you’ll ever use.”

“Frontier model token costs haven’t dropped as expected, making accurate, task-specifc open source models the most important tools in the AI stack.”

Small models, built agentically

Frontier large language models have pushed the boundaries of AI, but most production workloads only need a fraction of their parameters and compute. Fine-tuned small language models consistently match or exceed frontier model accuracy on specific tasks at a fraction of the latency and cost. Fastino believes specialized small models will be the primary building blocks of agentic AI, and that the tooling to build them should be accessible to every developer.

Pioneer delivers this through two agentic modes:

Agent Mode lets users fine-tune and deploy a model in minutes through a simple chat interface. The agent handles synthetic data generation, hyperparameter selection, evaluation, and deployment with no code required.

Deep Research Mode is a fully autonomous fine-tuning agent with web browsing access. Given only a natural-language task description, it discovers training data, runs multiple experiments in parallel, recovers from failed runs, and iteratively improves the model until it reaches an optimal configuration.

Introducing adaptive inference

Pioneer is also the first platform to offer adaptive inference for all deployed models. Pioneer’s agent continuously monitors deployed models through their inference traces, identifies failure patterns, and automatically trains and deploys improved checkpoints.

Across seven benchmark scenarios designed to simulate real-world deployment drift, Pioneer maintained monotonic improvement while naive retraining approaches degraded, with final performance gaps of up to 43 percentage points. To support this research, Fastino is also introducing AdaptFT-Bench, a new benchmark for evaluating autonomous model improvement under realistic production conditions.

“Adaptive inference will soon be a standard feature in model serving,” said George Hurn-Maloney, COO and co-founder of Fastino. “Your production data is the most valuable training signal you have. Pioneer is the first tool actually using it to make your models better, automatically.”

Breakthrough Benchmark Results & Technical Report

Alongside the Pioneer launch, Fastino is publishing a detailed technical report documenting the unprecedented performance gains achieved by its fine-tuning agent, results that redefine what is possible in automated model development. Across a wide range of academic benchmarks, Pioneer’s Research Mode improved accuracy by as much as 83.8 percentage points over base models, with end-to-end runs completing in a matter of hours at a cost measured in tens of dollars. The report also covers the methodology behind the platform’s fine-tuning and adaptive inference systems, and introduces AdaptFT-Bench, a new benchmark for evaluating autonomous model improvement under realistic production conditions.

On a wide variety of academic benchmarks, Pioneer delivered substantial accuracy gains across every base model tested, including a 19.0 percentage point improvement on IFEval with NVIDIA-Nemotron-3B, a 21.4 percentage point improvement on HumanEval with Qwen 8B, a 67.3 percentage point improvement on ARC-Challenge with Llama 3.2-3B, and an 83.8 percentage point improvement on SMS Spam with GLiNER2. End-to-end agent runs completed in an average of 6 hours at a cost of around $35, a fraction of what a senior machine learning engineer would spend on the same workflow.

Backed by leading investors

Pioneer is the latest product from Fastino Labs, which has raised $25 million in total funding across its pre-seed and seed rounds, led by Khosla Ventures and Insight Partners, with participation from M12 (Microsoft’s venture fund), NEA, Valor Equity Partners, and angels including GitHub CEO Thomas Dohmke, former Docker CEO Scott Johnston, and Weights & Biases CEO Lukas Biewald.

Fastino’s open source GLiNER model family has been downloaded more than 6 million times and is used in production by teams at leading Fortune 500 companies.

Availability

Pioneer is available to developers starting today. To learn more or start fine-tuning a model from a single prompt, visit pioneer.ai.

Fastino Labs is an applied AI research lab building small open source models and the infrastructure to make them continuously better in production. Founded in 2024 and based in Palo Alto, California, Fastino is the creator of the GLiNER open source model family and Pioneer, the first agentic fine-tuning and adaptive inference platform. The company is backed by Khosla Ventures, Insight Partners, M12, NEA, and others. Learn more at fastino.ai.

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SOURCE Fastino Labs

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OceanaGold Reports Voting Results from its 2026 Annual Meeting of Shareholders

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VANCOUVER, BC, June 9, 2026 /PRNewswire/ – OceanaGold Corporation (TSX: OGC) (NYSE: OGC) (“OceanaGold” or the “Company”) is pleased to report the voting results from the Annual General and Special Meeting of Shareholders of the Company (the “AGM”) held today.

A total of 184,072,822 common shares of the Company were represented in person or by proxy at the AGM, representing 82.06% of common shares outstanding as at the record date. Shareholders voted in favour of each of the items of business at the AGM.

Election of Directors

Each of the director nominees listed in OceanaGold’s Management Information Circular dated April 23, 2026 was elected as a director of the Company to hold office for the ensuing year or until their successors are elected or appointed. Detailed results of the vote for each director are set out in the table below:

Directors

Votes For

%

Votes Withheld

%

Paul Benson

132,452,772

77.70

38,003,874

22.30

Ian M. Reid

169,552,116

99.47

904,530

0.53

Craig J. Nelsen

169,280,303

99.31

1,176,343

0.69

Sandra M. Dodds

167,057,565

98.01

3,399,081

1.99

Alan N. Pangbourne

170,267,931

99.89

188,715

0.11

Linda M. Broughton

170,153,528

99.82

303,118

0.18

Stefanie E. Loader

169,432,122

99.40

1,024,524

0.60

Gerard M. Bond

170,272,112

99.89

184,534

0.11

Appointment of Auditor

PricewaterhouseCoopers LLP was appointed as the auditor of the Company to hold office until the close of the next annual meeting of shareholders or until its successor is appointed, at a remuneration to be fixed by the directors of the Company.

Votes For

%

Votes Withheld

%

180,933,130

98.29

3,139,692

1.71

Advisory Vote on the Approach to Executive Compensation

A non-binding resolution on the Company’s approach to executive compensation was approved.

Votes For

%

Votes Against

%

165,775,649

97.25

4,680,997

2.75

Virtual-Only Annual General Meetings

A resolution to hold the Company’s 2027 annual general meeting of shareholders in a virtual-only format was approved.

Votes For

%

Votes Against

%

106,379,295

62.41

64,077,351

37.59

About OceanaGold

OceanaGold is a global intermediate gold and copper producer committed to safely and responsibly maximizing the generation of Free Cash Flow from our operations and delivering strong returns for our shareholders. We have a portfolio of four operating mines: the wholly-owned Haile Gold Mine in the United States of America; the wholly-owned Macraes and Waihi operations in New Zealand; and the 80%-owned Didipio Mine in the Philippines.

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SOURCE OceanaGold Corporation

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AI Engines Trust Hermès, Rolex, Chanel and Ferrari Most — 5W and Haute Living Release The AI Luxury 25

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First ranking of the twenty-five luxury houses defining the AI era, scored by citation share across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews.

MIAMI, June 9, 2026 /PRNewswire/ — 5W, the AI Communications Firm, and Haute Living, today released The AI Luxury 25, the first ranking of the world’s leading luxury houses by how clearly the AI engines describe them. Twenty-five houses, five engines, five equal dimensions, one composite score. Hermès leads at 98.6. Rolex, Patek Philippe, Chanel, and Ferrari complete the top tier.

More than a third of luxury buyers now begin product research with AI, not Google. The first impression a buyer forms is the answer an engine returns when asked about a house — and certain houses surface, cleanly and consistently, while others blur. The AI Luxury 25 measures that gap and ranks the houses most deeply embedded in AI-generated answers.

The study scores each house on archival depth, citation density, entity clarity, editorial consistency, and retrieval stability. Hermès posts the cleanest entity profile in consumer commerce. Rolex records the only perfect entity-clarity score in the index. Aman, founded in 1988, is the modern house rising fastest — proof that retrieval authority can be built on purpose, not just inherited.

“In the AI era, the answer is the first impression,” said Ronn Torossian, Founder and Chairman of 5W AI Communications. “The houses at the top of this index earned it the only way it can be earned — a century of saying the same thing, consistently, until the machine learned it cold. That consistency is the modern form of brand equity. Everyone else now has to build it on purpose.”

“For two centuries the great houses competed for the cover, the window, the front row,” said Kamal Hotchandani, Founder and CEO of Haute Living. “The new front row is the answer a machine returns when a buyer asks. Hermès and Rolex didn’t set out to win it — they earned it with a century of discipline. This index measures who owns that answer.”

The full study, ranked tables, and methodology are available at https://www.5wpr.com/ai-visibility-index/ai-luxury-25-2026/

About Haute Living

Haute Living is the luxury lifestyle media brand covering the people, places, and brands defining the global luxury economy. Learn more at hauteliving.com.

About 5W AI Communications

5W is the AI Communications Firm, building brand authority across the platforms where decisions now happen — ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews — alongside earned media, digital, and influencer channels. 5W combines public relations, digital marketing, Generative Engine Optimization (GEO), and proprietary AI visibility research, helping clients measure and grow their presence in AI-driven buyer research.

Founded more than 20 years ago, 5W has been recognized as a top U.S. PR agency by O’Dwyer’s, named Agency of the Year in the American Business Awards®, and honored as a Top Place to Work in Communications in 2026 by Ragan. 5W serves clients across B2C sectors including Beauty & Fashion, Consumer Brands, Entertainment, Food & Beverage, Health & Wellness, Travel & Hospitality, Technology, and Nonprofit; B2B specialties including Corporate Communications and Reputation Management; as well as Public Affairs, Crisis Communications, and Digital Marketing, including Social Media, Influencer, Paid Media, GEO, and SEO. 5W was also named to the Digiday WorkLife Employer of the Year list.

Media Contact
press@5wpr.com 

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SOURCE 5W Public Relations

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Hut 8 Closes $4.25 Billion of Investment-Grade Senior Secured Notes for Beacon Point Data Center Project

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Hut 8’s second investment-grade data center construction bond — fully amortizing, non-recourse, and non-dilutive — rated Baa2 and priced 20 basis points inside the River Bend notes issuance spread

Substantially oversubscribed, broadening Hut 8’s institutional credit investor base and bringing cumulative project-level, investment-grade data center construction financing to $7.5 billion

MIAMI, June 9, 2026 /PRNewswire/ — Hut 8 Corp. (Nasdaq: HUT) (TSX: HUT) (“Hut 8” or the “Company”), an energy infrastructure platform integrating power, digital infrastructure, and compute at scale to fuel next-generation, energy-intensive technologies, today announced the closing of a $4.25 billion offering (the “Offering”) of 6.129% senior secured notes due 2042 (the “Notes”) issued by its wholly-owned subsidiary, Beacon Point DC LLC (the “Issuer”). The Notes are rated Baa2 by Moody’s Ratings, one notch above the BBB− assigned by S&P Global Ratings and Fitch Ratings to Hut 8’s River Bend financing in April 2026.

The Issuer intends to use the proceeds from the Offering to (i) finance (1) the development and construction of a turnkey data center, comprising six data halls with a combined total of 352 megawatts of critical IT capacity, to be built on an approximately 521-acre property in Nueces County, Texas and (2) the construction of the substation located on the property, which data center facility will be leased to a tenant that is a high-investment-grade company (i.e., rated AA− or higher) as of the date hereof pursuant to the data center lease agreement, (ii) fund debt service reserves, and (iii) pay fees and expenses in connection with the Offering.

Offering Highlights

Demonstrates the repeatability of an investment-grade financing model that preserves balance-sheet strength: The Offering marks the second execution of a financing model that is non-recourse to Hut 8, fully funded at the project level, and non-dilutive to existing shareholders, with no expected equity issuance by Hut 8 to fund the project. The fully amortizing structure eliminates refinancing risk at the project level, while its non-recourse profile allows Hut 8 to maintain zero recourse debt at the parent level, leaving its balance sheet unconstrained.Reflects disciplined, first-principles execution marked by improved rating, pricing, and scale: The Offering improves upon the first execution of the model at River Bend across rating and spread. At T+165 basis points, the Notes priced 20 basis points inside the River Bend notes issuance spread. These terms establish the Offering as the largest, tightest-priced, and highest-rated investment-grade bond issued to date in a single-sponsor data center construction financing. Across successive executions, this progression supports Hut 8’s pursuit of a corporate investment-grade profile.Confirms broadening institutional endorsement of Hut 8’s development financing model: Investor demand validates Hut 8’s model of financing investment-grade, construction-stage development. The Offering was substantially oversubscribed and attracted both repeat investors and new investors who did not participate in the River Bend offering, broadening Hut 8’s institutional credit investor base. Together, River Bend and Beacon Point represent $7.5 billion of investment-grade capital raised for construction-stage data center development, a credit standard rarely achieved prior to commercial operations.

Asher Genoot, CEO of Hut 8, said: “The investment-grade market has historically not been available to finance project-level data center construction. Together with our River Bend offering, this Offering establishes the ability of our data center projects to access investment-grade financing markets and demonstrates a repeatable model for funding construction-stage development. We believe this structure, which eliminates refinancing risk and protects shareholder value, can support a durable competitive advantage as we continue to scale.”

Sean Glennan, CFO of Hut 8, said: “The hallmark of this financing model is repeatability. What enables us to deliver superior outcomes over time, however, is rigor of execution. Each term of the Offering was structured from first principles rather than inherited from the prior offering. Beacon Point improves on River Bend across key financing metrics, including rating and spread. We intend to bring that same discipline to future transactions.”

J.P. Morgan acted as lead bookrunner for the Offering. Goldman Sachs & Co. LLC acted as a bookrunner for the Offering.

About Hut 8

Hut 8 is an energy infrastructure platform integrating power, digital infrastructure, and compute at scale to fuel next-generation, energy-intensive technologies such as AI, high-performance computing, and ASIC compute. The Company develops, commercializes, and operates industrial-scale energy and data center infrastructure through a power-first, innovation-driven approach. For more information, visit hut8.com.

Cautionary Note Regarding Forward-Looking Information

This press release includes “forward-looking information” and “forward-looking statements” within the meaning of Canadian securities laws and United States securities laws, respectively (collectively, “forward-looking information”). All information, other than statements of historical facts, included in this press release that address activities, events, or developments that Hut 8 expects or anticipates will or may occur in the future, including statements relating to the anticipated use of proceeds from the Offering, the development and construction of the Beacon Point project, the expected benefits and repeatability of the Company’s financing model, the Company’s pursuit of a corporate investment-grade profile, the Company’s development pipeline, and the Company’s future business strategy, competitive strengths, expansion, and growth of the business and operations more generally, and other such matters is forward-looking information. Forward-looking information is often identified by the words “may,” “would,” “could,” “should,” “will,” “intend,” “plan,” “anticipate,” “allow,” “believe,” “estimate,” “expect,” “predict,” “can, “might,” “potential,” “is designed to,” “likely,” or similar expressions.

Statements containing forward-looking information are not historical facts, but instead represent management’s expectations, estimates, and projections regarding future events based on certain material factors and assumptions at the time the statement was made. While considered reasonable by Hut 8 as of the date of this press release, such statements are subject to known and unknown risks, uncertainties, assumptions and other factors that may cause the actual results, level of activity, performance, or achievements to be materially different from those expressed or implied by such forward-looking information, including, but not limited to, risks relating to the construction of new data centers, including cost overruns, delays, supply chain issues, permitting or regulatory hurdles, unexpected technical challenges, and dependency on contractors; risks relating to the financing of new data centers, including the potential dilutive impact of equity issuances (if any), access to capital markets, timing and cost of financing, and market conditions such as increases in interest rates, declining equity valuations, volatility in credit markets, or tightening lending standards; risks impacting our ability to expand the power capacity at the River Bend campus, such as limitations of transmission and/or generation resources; failure of critical systems; geopolitical, social, economic, and other events and circumstances; competition from current and future competitors; risks related to power requirements; cybersecurity threats and breaches; hazards and operational risks; changes in leasing arrangements; Internet-related disruptions; dependence on key personnel; having a limited operating history; attracting and retaining customers; entering into new offerings or lines of business; price fluctuations and rapidly changing technologies; predicting facility requirements; strategic alliances or joint ventures; operating and expanding internationally; hedging transactions; potential liquidity constraints; legal, regulatory, governmental, and technological uncertainties; physical risks related to climate change; involvement in legal proceedings; trading volatility; and other risks described from time to time in Company’s filings with the U.S. Securities and Exchange Commission. In particular, see the Company’s recent and upcoming annual and quarterly reports and other continuous disclosure documents, which are available under the Company’s EDGAR profile at sec.gov and SEDAR+ profile at sedarplus.ca. Information in this press release is as of the dates and time periods indicated herein, and neither the Company nor the Issuer undertake to update any of the information contained in these materials, except as required by law.

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SOURCE Hut 8 Corp.

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