I knew that Hedera has an AI Agent Kit, did you?Well now you do.Hedera (@hedera):Did you know Hedera has an AI Agent Kit? 🤖Build LLM-powered apps that interact with the Hedera network, from conversational agents to on-chain automation.Easily adapt it into frameworks like @LangChainAI, @vercel ai-sdk, or MCP.Discover the kit: https://t.co/pkYIagoHPV https://t.co/mFHIgessxa ...

RT Tesla Owners Silicon Valley (@teslaownersSV)BREAKING: Grok Rankings Update November 10Grok is dominating every leaderboard:#1 BlackBox AI#1 Terminal-Bench Hard#1 GPQA Diamond#1 SciCode#1 AAII Token Usage#1 Roo Code#1 KiloCode#1 ClineAnd on OpenRouter:#1 Most popular LLM (English)#1 Token usage (Top Today, Week, Month)#1 Programming use case (Python, JS, Java, C++, SQL)#1 Market share for xAIGrok is cooking. 🚀 ...

Financial Data and Key Metrics Changes - Total revenue for Q3 2025 was $34.6 million, with subscription and other platform revenue at $32 million, and professional services revenue at $2.6 million, representing approximately 8% of total revenue [19] - Total ARR at the end of Q3 was $124.5 million, with core platform ARR at $122.4 million [20] - Gross margin in Q3 was 76%, consistent with the year-to-date gross margin of 77% [22][24] - Operating loss for Q3 was $0.4 million, or a negative 1% operating margin, compared to a loss of $0.8 million and a negative 2% margin in the same period last year [24] Business Line Data and Key Metrics Changes - The average core ARR per customer reached over $80,000 at the end of Q3, with the percentage of ARR in multi-year contracts hitting an all-time high [21][22] - Nearly one in five customers are now using and paying for AI solutions, with this number expected to increase [21][37] - The $100,000 and above customer cohort represented approximately two-thirds of total ARR, with 294 customers in this cohort [22] Market Data and Key Metrics Changes - The company experienced deal slippage in Q3, particularly in the life sciences vertical, but expects improved performance in Q4 [5][20] - The company noted a seasonal softness in Q3, which is typically a slower quarter [5][48] Company Strategy and Development Direction - The company is focused on leveraging AI tools to improve operational efficiency and reduce sales and marketing expenses as a percentage of revenue [16][31] - A new partnership with LinkedIn aims to enhance event marketing capabilities and drive customer engagement [7][8][51] - The company is targeting growth in regulated industries, particularly financial services and professional services, which are expected to grow mid-single digits year over year [62] Management's Comments on Operating Environment and Future Outlook - Management expressed optimism about Q4 performance, expecting significantly better ARR performance compared to Q3 [5][32] - The company anticipates a strong retention rate and growth in AI offerings, which are expected to drive future revenue [32][49] - Management acknowledged short-term pressures in the pharma business but remains confident in the overall growth strategy [48] Other Important Information - The company has received indications of interest for a potential acquisition, which is currently being evaluated [18] - The company has maintained a strong balance sheet with approximately $175 million in cash and investments at the end of Q3 [26] Q&A Session Summary Question: Insights on AI solutions uptake - Management noted that nearly 20% of customers are paying for AI solutions, with expectations for continued growth in this area [36][37] Question: Components of go-to-market efficiency - Management highlighted a reduction in sales and marketing expenses from $25 million to less than $15 million quarterly, attributing improvements to AI deployment and resource reallocation [42][44] Question: Deal slippage from Q3 to Q4 - Management indicated that deal slippage was primarily due to a lack of urgency in closing new business, with many deals already closed in Q4 [48] Question: Monetization opportunities from LinkedIn partnership - Management described the partnership as a game changer, with initial phases focused on customer retention and future phases expected to include monetizable features [51][53] Question: AI search discoverability agenda - Management provided insights into plans for enhancing content discoverability through AI, aiming to make customer-generated content indexable by LLMs [56][57] Question: Performance of new go-to-market strategy - Management reported that the enterprise-focused strategy has resulted in significant growth in regulated industries, which now account for about 50% of the business [62]

Core Insights - Kyivstar Group Ltd reported a strong financial performance in Q3 2025, with total revenue growth of 20.9% year-over-year, reaching UAH 12.3 billion (USD 297 million) [3][10] - The company's EBITDA increased by 21.5% year-over-year to UAH 7.1 billion (USD 171 million), with an EBITDA margin of 57.6% [4][10] - Digital revenue surged by 531% to UAH 1.5 billion (USD 35 million), now accounting for nearly 12% of total revenues, driven by the acquisition of Uklon [5][10] Financial Performance - Total revenue grew to UAH 12.3 billion, reflecting a 20.9% increase YoY, and a 19.8% increase in USD terms [3][10] - EBITDA rose to UAH 7.1 billion, marking a 21.5% YoY growth, with a 20.4% increase in USD terms [4][10] - Adjusted net profit was reported at USD 73 million, excluding a non-cash charge of USD 162 million related to the company's listing [10] Digital Strategy - Direct digital revenue reached UAH 1.5 billion, contributing 11.9% to total revenue, supported by the integration of Uklon [5][10] - The number of multiplay users increased by 24.8% YoY to 6.6 million, representing 31.7% of one-month-active mobile customers [5][10] - Digital monthly active users (MAUs) grew by 49.4% to 13.5 million, indicating strong customer engagement [10] Strategic Initiatives - Kyivstar became the first Ukrainian company to list on the NASDAQ on August 15, 2025 [7] - The company is advancing its digital ecosystem, including the launch of Ukraine's first Starlink Direct to Cell network and the development of a national large language model in partnership with the Ministry of Digital Transformation [7][9] - Kyivstar plans to invest USD 1 billion in Ukraine from 2023 to 2027, focusing on infrastructure and technological development [15] Future Outlook - The company anticipates revenue growth of 24% to 27% YoY and EBITDA growth of 23% to 26% YoY in UAH terms for the full year [8] - In USD terms, revenue growth is expected to be between 20% to 23% YoY, with EBITDA growth of 19% to 22% YoY for 2025 [8]

RT Ethan Mollick (@emollick)This is a very cool paper. It first shows that first-gen college students don't realize a lot of unwritten rules that lead to success (the value of internships, student clubs, letters from professors).But giving them access to an LLM for guidance significantly closes the gap. ...

AI Tools & Technologies - Six no-code LLM/RAG/Agent builder tools are available for AI engineers [1] - The tools are production-grade and 100% open-source [1]

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs. https://t.co/SvYt7PiJQxAvi Chawla (@_avichawla):6 no-code LLM/RAG/Agent builder tools for AI engineers.Production-grade and 100% open-source!(find the GitHub repos in the replies) https://t.co/It07fQRBL7 ...

6 no-code LLM/RAG/Agent builder tools for AI engineers.Production-grade and 100% open-source!(find the GitHub repos in the replies) https://t.co/It07fQRBL7 ...

RT Market Mavericks (@MavAgents)A 'Maverick' isn’t just an LLM.It’s a swarm, signal and strategy fused into one mind.A hedge fund in your pocket.Why stop at one agent, when you can have your own trading desk 🤖 https://t.co/FTm1AKvvfW ...

Next, repeat these steps for the 2nd server to host the Smolagents Agent and its LLM.- Line 1-10 → Imports + define the Server & the LLM.- Line 12 → Decorate the method.- Line 21-28 → Define the Agent with a web search tool.- Line 31 → Serve the Agent.Finally, we use an ACP client to connect both agents in a workflow.- Line 6-7 → Connect the client to both servers.- Line 11-14 → Invoke the first agent to receive an output.- Line 18-21 → Pass the output to the next agent for enhancement.Next, run the two ser ...