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Sooraj Kumar🙏 18 karmaDec 8, 2024@IntrohookThis is not good, it is randomly adding 3 seconds video before the given video. Not related to the video, so not good.
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Hey, I'm Adam. Cars have always been my passion. After buying and selling tons of vehicles over the years, I got tired of seeing people overpay, miss red flags, or get stuck with problem cars. So I built Avturo. Paste any car listing (or screenshot it), and Avturo instantly analyzes pricing, spots issues, and tells you what to ask the seller. Found a car you like? The AI can answer any question about maintenance costs, common problems, what to inspect. The newest feature is My Garage, your personal AI mechanic. Add your car, and it knows your exact year, make, model, and mileage. Ask it anything: "Why is my check engine light on?" "Where can I find brake pads?" "What's due at 100k miles?" It finds real parts, real prices, and real shops near you. I'm always improving Avturo based on user feedback, so try it out and let me know what you think!
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Aithor is an excellent tool for writing scientific essays. The best part is that it shows real references. This means your generated text is validated. Other tools, like Gemini or Chatgpt, frequently give wrong citations and references, even nonexistent ones.
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Super convenient especially for travel- highly recommend!
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I'd love to use it, but I keep getting an error message. Pretty sure I am doing every thing right at my end...
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Claude — v5.0Claude Fable 5 State-of-the-art on Cognition's FrontierCode eval, scoring highest among frontier models even at medium effort. More token-efficient than prior Claude models. Stripe reported a codebase-wide migration on a 50M-line Ruby codebase done in a day, versus an estimated two-plus months by hand. Highest score of any model on Hebbia's Finance Benchmark (senior-level reasoning), with major gains in document reasoning, chart and table interpretation, and problem solving. IMC reported near-across-the-board top results on trading-analysis evals (factual lookup, conceptual reasoning, root-cause analysis, expected-value analysis). New state-of-the-art for vision tasks. Extracts precise numbers from scientific figures and can rebuild a web app's source code from screenshots alone. Needs less scaffolding: beat Pokémon FireRed with a minimal vision-only harness, where earlier models needed complex helper harnesses. Stays focused across millions of tokens on long-running tasks and improves its outputs using its own notes. With persistent file-based memory in Slay the Spire, performance improved 3x more than Opus 4.8, and it reached the final act 3x more often. Works autonomously for longer than any prior Claude model
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No audit, basically just PPT with animations from information already in a slide. At this time, I do not see this as an animation tool beyond what is already easily available in PPT.
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Social humanoid robots that think and interact naturally.Open -
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Intro to Programming course lesson planner for ages 9+Open -
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