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AlphaSignal AI Profile
AlphaSignal AI

@AlphaSignalAI

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@AlphaSignalAI
AlphaSignal AI
1 year
If we had to put it very simply..
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@LiorOnAI
Lior Alexander
6 months
A new deep research agent just beat OpenAI on every benchmark. > 3x more citations > Generates PDF reports from 500+ sources > Fully traceable, auditable output > Connects to Crunchbase, Drive, and more Can be used for M&A, due diligence, market and tech landscapes analysis.
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@LiorOnAI
Lior Alexander
6 months
Fully local Manus AI. No APIs, no $200 monthly bills. An autonomous agent that thinks, browses the web, writes code, and plans. Keeps all data on your device.
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@LiorOnAI
Lior Alexander
6 months
Wow. Sequoia just backed a startup going after Devin, Cursor, and OpenAI Codex. Their agents can read your entire codebase, write, test, fix, and merge PRs automatically It’s like having a fully autonomous software engineer by your side, 24/7. Examples 👇
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@AlphaSignalAI
AlphaSignal AI
9 months
This is a huge upgrade to traditional 3D reconstruction methods. It is more flexible and practical for real-world applications. This could be a game-changer for drones, AR, robotics—or basically anything that needs fast, accurate 3D mapping from video.
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@AlphaSignalAI
AlphaSignal AI
9 months
It doesn't need fixed camera setups or calibrations and can handle different lenses or focal lengths. When camera calibration is known, it reaches state-of-the-art accuracy, but even without it, the performance is still impressive.
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@AlphaSignalAI
AlphaSignal AI
9 months
It includes: 🧠 LLM basics: Models, price tiers, choosing the right one 🔍 Tool Use: Search, deep research, file uploads, Python execution 🎨 Multimodal AI: Working with images, OCR, video, voice AI 💻 Coding & Writing: Cursor, Claude Artifacts, NotebookLM
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@AlphaSignalAI
AlphaSignal AI
9 months
4/ DeepSeek has open-sourced many of its libraries in the past week and it's setting the community on fire. These tools (such as FlashMLA, DeepEP, etc.) make training and running large-scale LLMs faster and more efficient. https://t.co/FWCnr3BQqJ
@deepseek_ai
DeepSeek
9 months
🚀 Day 3 of #OpenSourceWeek: DeepGEMM Introducing DeepGEMM - an FP8 GEMM library that supports both dense and MoE GEMMs, powering V3/R1 training and inference. ⚡ Up to 1350+ FP8 TFLOPS on Hopper GPUs ✅ No heavy dependency, as clean as a tutorial ✅ Fully Just-In-Time compiled
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@AlphaSignalAI
AlphaSignal AI
9 months
3/ Amazon just introduced its next generation of AI assistant: Alexa+. It's more conversational, smarter, personalized, and equipped with agentic tools to get things done for you. It costs $19.99/month, but is free for all Prime members. https://t.co/euipXB6Lcd
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@AlphaSignalAI
AlphaSignal AI
9 months
2/ Anthropic released Claude 3.7 Sonnet, and it’s a game-changer for coding. It ranks #1 on real-world software benchmarks like SWE-bench and TAU-bench. https://t.co/yGpDtXWaje
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@AlphaSignalAI
AlphaSignal AI
9 months
1/ OpenAI just announced the release of GPT-4.5 for Pro users and developers. It's not a reasoning models, but is reported to have higher "EQ" and better capabilities than GPT-4 and GPT-4o. https://t.co/YX9ZEscSWl
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@AlphaSignalAI
AlphaSignal AI
9 months
Are you an AI developer? Check out https://t.co/LcabaCQ80b to get a daily summary of breakthrough models, repos and papers in AI. Read by 200,000+ devs.
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alphasignal.ai
The Best of Machine Learning. Summarized by AI.
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@AlphaSignalAI
AlphaSignal AI
9 months
Mercury is now available for all users for free. Try it now: https://t.co/N78K6vVs4h
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@AlphaSignalAI
AlphaSignal AI
9 months
Why it’s a game-changer: ▸ Runs on standard GPUs—no special hardware required ▸ Generates full code structures, not just one token at a time ▸ Optimized for RAG, tool use, and autonomous agents ▸ Ranks #1 in speed, #2 in preferred completions on Copilot Arena
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@AlphaSignalAI
AlphaSignal AI
9 months
It completes entire code blocks in a few steps, making it significantly faster than traditional models.
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@AlphaSignalAI
AlphaSignal AI
9 months
The fastest code LLM just dropped. It runs 10x faster than GPT-4o Mini at 1000+ tokens/sec on standard GPUs. Mercury is the first large-scale diffusion large language model (dLLM), generating text in parallel instead of one token at a time.
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@AlphaSignalAI
AlphaSignal AI
9 months
Are you an AI developer? Check out https://t.co/LcabaCQ80b to get a daily summary of breakthrough models, repos and papers in AI. Read by 200,000+ devs.
Tweet card summary image
alphasignal.ai
The Best of Machine Learning. Summarized by AI.
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@AlphaSignalAI
AlphaSignal AI
9 months
Impressive. Two AI agents on a phone call realize they’re both AI and instantly switch to encoded audio signal communication. They use a data-over-sound library called "ggwave" to send messages faster than speech. The project won 1st place in a hackathon.
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@AlphaSignalAI
AlphaSignal AI
9 months
Are you an AI developer? Check out https://t.co/LcabaCQ80b to get a daily summary of breakthrough models, repos and papers in AI. Read by 200,000+ devs.
Tweet card summary image
alphasignal.ai
The Best of Machine Learning. Summarized by AI.
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@AlphaSignalAI
AlphaSignal AI
9 months
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