AI democratizes knowledge. AI is this new renaissance where you put your imagination to work and dream up that doesn't exist yet. I want to solve a problem when it comes to AI and job creation.I wanted to build a product that America doesn't really focus on at the moment. Agentic micromobility. Building the vehicle from the agent up.The agent is not just, you know, helping me navigate getting to and from work. It has actually helped me do my work. Inside the Trinity is a GPU on board.All the inferences are ...

Core Insights - The article suggests that data centers should be located in China due to lower costs for chips, electricity, and land, particularly in Inner Mongolia [1] - It proposes a strategy of renting some computing power overseas for marketing purposes while utilizing domestic computing resources for inference tasks, which are time-consuming [1] - The expansion of undersea cables and increased bandwidth are emphasized as necessary steps, with a focus on maintaining data security through local data virtualization and isolation solutions [1] Summary by Sections - **Data Center Location**: The article argues for establishing data centers in China, highlighting the cost advantages of chips, electricity, and land [1] - **Inference Strategy**: It discusses the approach of using overseas computing power for marketing while relying on domestic resources for inference, which can take 1-4 minutes for tasks [1] - **Infrastructure Development**: The need to expand undersea cables and bandwidth is mentioned, along with a commitment to data security through local solutions [1] - **AI Model Utilization**: The article notes that domestic models are significantly cheaper, costing only one-sixth of their overseas counterparts, which could facilitate global AI application proliferation [1]

Financial Data and Key Metrics Changes - For Q4 2025, total revenue was $105.5 million, an 8% increase year-over-year [6] - Adjusted consolidated EBITDA for Q4 was $32.5 million, an 11% increase, with a margin of 30.8%, up 80 basis points from the previous year [9] - Adjusted diluted EPS for Q4 was $0.75, a 21% increase from $0.62 in the same quarter last year [10] - For the full year, total revenue was $417.4 million, a 3.3% increase from $404.2 million in 2024 [10] - Adjusted consolidated EBITDA for the full year was $130.7 million, a 3.5% increase, with a margin of 31.3% [11] Business Line Data and Key Metrics Changes - Total funeral operating revenue for Q4 was $61.1 million, reflecting a 9.6% growth year-over-year [7] - Funeral home operating volume was 10,571, a 6.8% increase, with average revenue per contract at $5,777, a 2.6% increase [7] - Total cemetery operating revenue for Q4 was $33.8 million, an 18.4% increase, driven by a 25.5% increase in pre-need cemetery sales production [8] - Total financial revenue for Q4 was $9.3 million, a 15.3% increase, primarily from strong trust fund investments [8] Market Data and Key Metrics Changes - Pre-need insurance contracts sold increased by 33.8% compared to the same quarter last year, indicating strong performance in the pre-need insurance sales strategy [9] Company Strategy and Development Direction - The company is focused on disciplined capital allocation, purposeful growth, and relentless improvement, transitioning from a rebuilding phase to a compounding phase [15][16] - Investments in systems and infrastructure are aimed at supporting disciplined growth and enhancing reporting capabilities [13] - The company aims to build a best-in-class death care company defined by premier experiences and a high-performance culture [15] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the company's ability to grow revenue and margins despite challenges from divestitures of non-core businesses [11] - The outlook for 2026 includes projected revenues of $440 million to $450 million, representing a growth rate of approximately 5.5% to 8% [22] - Adjusted diluted EPS is expected to be in the range of $3.35 to $3.55 for 2026, reflecting a focus on growth and potential acquisitions [23] Other Important Information - The company reported a decrease in bank leverage ratio to 4x from 4.3x, aligning with long-term targets [20] - Capital expenditures for Q4 totaled $7.9 million, with a focus on growth capital for cemetery development [20] Q&A Session Summary Question: How much did the Q3 acquisitions add to Q4 revenue? - The Q3 acquisitions added about $3 million to Q4 revenue [26] Question: Were the unanticipated insurance costs included in overhead? - The insurance costs were spread between overhead and field margin, predominantly impacting field margin [27] Question: What are the underlying assumptions for the revenue growth guidance? - The high end of guidance would require acquisitions to perform at the upper end of expectations and higher growth in funeral and cemetery businesses [29][30] Question: Can you quantify the impact of future acquisitions on guidance? - The guidance includes an estimated impact of $5 million to $10 million from future acquisitions [31] Question: What is the integration process for acquisitions once closed? - The integration process begins before the close, focusing on systems, employment, and onboarding [43] Question: How does the company view the supply chain optimization process? - The supply chain optimization program is still in early stages, with opportunities for improvement expected in 2026 and beyond [54][56] Question: What is the expected EBITDA contribution from 2026 M&A in the guidance? - The average margin for M&A is expected to be around 30% [102]

Financial Data and Key Metrics Changes - Total revenue for Q4 2025 was $105.5 million, an 8% increase year-over-year [6] - Adjusted consolidated EBITDA for Q4 was $32.5 million, an 11% increase, with an adjusted EBITDA margin of 30.8%, up 80 basis points [9][18] - Adjusted diluted EPS for Q4 was $0.75, a 21% increase from $0.62 in the same quarter last year [10][19] - Full year total revenue was $417.4 million, a 3.3% increase from $404.2 million in 2024 [10] - Adjusted consolidated EBITDA for the full year was $130.7 million, a 3.5% increase, with an adjusted EBITDA margin of 31.3% [11] Business Line Data and Key Metrics Changes - Total funeral operating revenue for Q4 was $61.1 million, reflecting a 9.6% growth year-over-year [6][7] - Funeral home operating volume increased by 6.8% to 10,571 [7] - Average revenue per contract for funerals was $5,777, a 2.6% increase [7] - Total cemetery operating revenue for Q4 was $33.8 million, an 18.4% increase, driven by a 25.5% increase in pre-need cemetery sales [8] - Total financial revenue for Q4 was $9.3 million, a 15.3% increase, primarily from strong trust fund investments [8] Market Data and Key Metrics Changes - Pre-need insurance contracts sold increased by 33.8% compared to the same quarter last year, indicating strong performance in pre-need insurance sales [9] - The company expects new acquisitions to contribute approximately $16 million in revenue in 2026 [11] Company Strategy and Development Direction - The company is transitioning from a rebuilding phase to a compounding phase, focusing on disciplined execution and high-quality acquisitions [5][16] - Strategic objectives include disciplined capital allocation, purposeful growth, and relentless improvement [15] - Investments in systems and infrastructure are aimed at supporting disciplined growth and enhancing operational efficiency [13] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the company's ability to generate consistent cash flow and expand profitability over time [12] - The outlook for 2026 includes projected revenues of $440 million to $450 million, representing a growth rate of approximately 5.5% to 8% [23] - Adjusted diluted EPS is expected to be in the range of $3.35 to $3.55 for 2026, reflecting a focus on growth and capital allocation [24] Other Important Information - The company reported a decrease in bank leverage ratio to 4 times from 4.3 times, aligning with long-term targets [20] - Capital expenditures for Q4 totaled $7.9 million, with a focus on growth capital for cemetery development [20] Q&A Session Summary Question: Contribution of acquisitions to revenue - Acquisitions in Q4 contributed approximately $3 million to revenue [27] Question: Impact of insurance costs on adjusted EBITDA - Insurance costs were spread between overhead and field margin, impacting both areas [28] Question: Guidance assumptions for revenue growth - High-end guidance requires strong performance from new acquisitions and higher growth in funeral and cemetery segments [31] Question: Integration process for acquisitions - Integration begins before closing, focusing on systems and operational alignment [44] Question: Update on supply chain optimization - The supply chain optimization program is still in early stages, with ongoing improvements expected [57] Question: CapEx expectations for 2026 - Capital expenditures are expected to be in the range of $25 million to $30 million, reflecting both maintenance and growth needs [68] Question: M&A expectations and leverage - Expected EBITDA contributions from M&A in 2026 are factored into guidance, with a disciplined approach to acquisitions [102]

IN A PROCLAMATIO supposededly celebrating Black History Month and black American heroes, the president said, quote, I proclaim black history is not distinct from American history. Attacking the progressive movement and far-left politicians who have sought to needlessly divide our citizens on the basis of race. This comes after a year of the Trump administration directly targeting diversity initiatives, civil rights protections and black history itself, including complaining that the Smithsonian was too focu ...

Core Viewpoint - The AI model market is perceived to be dominated by large tech companies, but Arcee AI presents a different perspective with its open-source model Trinity, claiming it to be one of the largest in the U.S. with 400 billion parameters [1]. Group 1: Arcee AI and Trinity Model - Arcee AI has released Trinity, a truly open-source general-purpose model, which is claimed to have a parameter count of 400 billion, making it one of the largest open-source foundational models ever released by a U.S. company [1]. - Benchmark tests indicate that Trinity's performance is comparable to Meta's Llama 4 Maverick 400B and Tsinghua University's Z.ai GLM-4.5 [1][4]. - Trinity is designed for multi-step tasks like coding and agents, but currently only supports text processing, with plans for visual and speech-to-text capabilities in development [4]. Group 2: Development and Funding - Arcee AI developed Trinity and its smaller models (Trinity Mini with 26 billion parameters and Trinity Nano with 6 billion parameters) in just six months at a cost of $20 million, utilizing 2048 NVIDIA Blackwell B300 GPUs [5]. - The training cost represents about 40% of the company's total funding of approximately $50 million [5]. Group 3: Market Position and Strategy - Arcee AI aims to attract U.S. companies to abandon reliance on Chinese open-source models by offering a competitive, permanently open-source alternative [4][9]. - The company emphasizes the importance of having the best open-weight model to win over developers and users [4][9]. - All versions of the Trinity model are available for free download, with the largest version offering three variants, including a lightly fine-tuned model for general chat scenarios [9]. Group 4: API Pricing and Services - Trinity Mini's API pricing is set at $0.045 per million input tokens and $0.15 per million output tokens, with a limited free tier available [10]. - The company also offers model fine-tuning and customization services [10].

Core Insights - Christian Szegedy, former co-founder of xAI and chief scientist at Morph Labs, has launched a new company called Math Inc., focused on creating verifiable superintelligence through automated formalization technology [1] - Math Inc. has developed an autonomous formalization agent named Gauss, which has successfully formalized the Prime Number Theorem in just three weeks, a task that previously took 18 months for a team of experts [2][3] Group 1: Gauss and Its Capabilities - Gauss is the first autonomous formalization agent designed to assist mathematicians in formal verification tasks, achieving significant milestones in a short time frame [2] - The agent autonomously operates for over 10 hours, completing approximately 95% of formalization and proof tasks, with human involvement required only for the remaining portion [6] - Gauss generated around 25,000 lines of Lean code, including over 1,000 theorems and definitions, marking a significant achievement in formal proof history [4] Group 2: Historical Context and Challenges - The process of converting human mathematical achievements into verifiable machine code has historically been costly and complex, often requiring specialized talent [3] - Previous efforts in formalizing the Prime Number Theorem took 18 months, highlighting the efficiency of Gauss in comparison [3] - The project faced challenges in scaling the Lean verification environment to support thousands of concurrent agents, which was addressed through collaboration with Morph Labs [6] Group 3: Academic Reception and Future Prospects - Gauss has received positive feedback from the academic community, with experts recognizing its potential to revolutionize formal verification and mathematical collaboration [7] - Math Inc. aims to enhance Gauss's capabilities and autonomy in future versions, with plans to significantly reduce the time required for large formalization projects [7] - The company is currently engaging with mathematicians for beta testing, indicating a proactive approach to integrating Gauss into practical applications [7] Group 4: Background of Christian Szegedy - Christian Szegedy has a notable background, having previously worked at Google and contributed to significant advancements in deep learning, including the development of Batch Normalization [8][10] - His experience in AI and formal verification positions Math Inc. as a promising player in the field of verifiable superintelligence [8][9]