seekingalpha.com/news/4572778-meta-may-open-source-versions-of-its-upcoming-ai-models-report [Translated from EN to English]
→ View original post on X — @kimmonismus, 2026-04-06 18:08 UTC
@kimmonismus
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Meta to Release New LLM Under Scale AI’s Alexandr Wang
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Big update: Meta is gearing up to release its first LLM built under Scale AI founder Alexandr Wang very soon. -And while not all of it will be open, the company plans to eventually open-source versions of the new family. -Meta knows these models won't beat OpenAI or Anthropic across the board, but it's betting on specific areas of consumer strength to stay relevant in an increasingly crowded race. Ina Fried (@inafried) New @axios Scoop: Meta will open source versions of new models set to be released soon – the first under @alexandr_wang. But open versions won’t be right at launch. Meta wants to remove some proprietary elements and address potential safety risks — https://nitter.net/inafried/status/2041202657797488819#m
→ View original post on X — @kimmonismus, 2026-04-06 18:07 UTC
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OpenAI and Anthropic Prepare for Stock Market Listings
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wsj.com/tech/ai/openai-anthr… [Translated from EN to English]
→ View original post on X — @kimmonismus, 2026-04-06 17:18 UTC
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OpenAI and Anthropic Face Massive Training Cost Challenges Before IPOs
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WSJ obtained confidential financials from both OpenAI and Anthropic ahead of their expected IPOs later this year. The core tension: revenue is exploding, but training costs are exploding faster. OpenAI projects $121 billion in compute spending by 2028, resulting in $85 billion in losses that year alone, even after nearly doubling revenue. Strip out training costs and both companies are near profitability now; add them back and OpenAI doesn't break even until the 2030s. Anthropic expects to get there sooner. Inference costs still eat over half of revenue at both labs, though that share is declining.
→ View original post on X — @kimmonismus, 2026-04-06 17:18 UTC
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Architect: Rapid Transformation of Use Cases into Intelligent Systems
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Architect facilitates the transformation from a use case prompt to an intelligent system with a working UI in minutes. If you are looking to automate your own client-related tasks, you can explore the platform here: architect.new/ [Translated from EN to English]
→ View original post on X — @kimmonismus, 2026-04-06 16:04 UTC
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Automating Operational Overhead for Solo Consultant Success
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7/ For solopreneurs, the bottleneck is usually operational overhead. This system handles the repetitive administrative tasks so I can focus on the actual consulting work. The connected agentic workflows ensure nothing falls through the cracks.
→ View original post on X — @kimmonismus, 2026-04-06 16:04 UTC
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Final Stage: Building a Cohesive Intelligent Platform from Description
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6/ The final stage was the App Build. Instead of duct-taped automations, I got a cohesive platform! It is an intelligent system that looks and feels like a custom software build, but it was generated entirely from my initial description.
→ View original post on X — @kimmonismus, 2026-04-06 16:04 UTC
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Agentic Layer: Logic, Workflows, and Intake Data Qualification
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5/ Next was the Agentic Layer. This is where the actual logic lives. Architect configured the agentic workflows to handle the thinking parts: qualifying the intake data and triggering the welcome communications based on the project type.
→ View original post on X — @kimmonismus, 2026-04-06 16:04 UTC
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Architect generates consultant dashboard plan and wireframe
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4/ The process started in Plan Mode. Architect interpreted my requirements to generate a structured plan and a wireframe for the consultant dashboard. It mapped out exactly how the data flows from the initial intake form to the tracking records.
→ View original post on X — @kimmonismus, 2026-04-06 16:04 UTC
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One Shot Mode in Architect builds intelligent systems with UI
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3/ I used the One Shot Mode in Architect. I described the specific use case in natural language and the system builder handled the rest. It did not just give me a simple prototype. It built an intelligent system with a working UI in minutes!
→ View original post on X — @kimmonismus, 2026-04-06 16:04 UTC