Vortex Next Gen Trends
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Amazon AGI Lab unveiled Nova Act, an AI agent system that can control browsers to perform tasks

β€” Beats Claude 3.7 Sonnet and OpenAI’s CUA on reliability
β€”Will power Amazon's next-gen Alexa+
β€” Also includes an SDK to build custom browser agents
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The most important paper by Google about AGI. A few assumptions behind Google DeepMind’s paper on preparing for AGI:

1.
no ceiling at human-level capabilities,

2. powerful systems by 2030,

3. positive loops via AI R&D,

4. a reliance on relatively continuous progress.
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General Agents introduced Ace: The First Realtime Computer Autopilot

Ace is not a chatbot. Ace performs tasks for you.

On your computer. Using your mouse and keyboard.

At superhuman speeds.
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Midjourney released V7 Alpha

V7 Alpha is much smarter with text prompts, has higher-quality images with improved textures and coherence, default-on personalization requiring a ~5-minute unlock, new fraft Mode rendering images 10x faster at half cost with conversational and voice input, Turbo (2x cost) and Relax modes, temporary fallback to V6 for upscaling/editing/retexture, ongoing Moodboard and SREF improvements, and planned updates every 1-2 weeks for the next 60 days, starting with new V7 character and object reference features.
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New DeepSeek Paper+Model

DeepSeek-GRM models automatically generate judging principles and critiques without needing a human in the loop to achieve better reward scaling with inference-time compute.

Open-source model coming.

They're worried automated principles/critiques might amplify biases from toxic training data without a human in the loop.
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Meta rolled out the ChatGPT killer β€” Llama 4 with 10 MILLION tokens of context

The new Llama 4 line is not an update, it is a total unwinding of competitors. The model can process entire volumes, holds up to 10 million tokens in memory and already at the start impresses with numbers.


β€” Llama 4 Scout is basic, but has 80 times more context than Llama 3. Destroyed Gemini 2.0 and Gemma 3 in benchmarks.


β€” Llama 4 Maverick is a neural network for coders. In terms of speed and quality, it bypasses DeepSeek v3.1 and even GPT-4o.


β€” Llama 4 Behemoth is a monster with 2 trillion parameters. This is 10 times more than any OpenAI model. It hasn't been released into the public domain yet, but inside Meta they're already calling it the uncompromising market dominator.
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NotebookLM is a site for creating the perfect resume

Simply upload your resume and any potential job descriptions. NotebookLM can highlight your previous skills and experience that best fit the job and prepare you for potential interview questions.
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Test-Time Training (TTT) is now on Video and not just a 5-second video. U can generate a full 1-min video!

TTT module is an RNN module that provides an explicit and efficient memory mechanism. It models the hidden state of an RNN with a machine learning model, which is updated via gradient descent.
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Google announced their new TPU 'Ironwood'. Each individual chip has a peak compute of 4,614 TFLOPs. Google is calling it 'a monumental leap in AI capability'.
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OKX has partnered with Standard Chartered to launch a world-leading collateral mirroring program.

Teaming up with Brevan Howard and Franklin Templeton, this initiative lets institutional clients use crypto and tokenized money market funds as secure off-exchange collateral.

Backed by a top-tier G-SIB custodian and regulated under Dubai’s VARA framework, it’s a game-changer for safety and capital efficiency in digital asset trading.
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Anthropic published a new quickstart - a minimal implementation of an LLM agent with MCP tools, loops, context management.

Very helpful if you're trying to learn what an agent actually looks like in code.
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OpenAI has rolled out a significant enhancement to ChatGPT's memory capabilities.

The AI can now reference your entire chat history to deliver more personalized responses based on your preferences and interests.

Unlike before, where ChatGPT only used specifically saved memories, it can now automatically analyze patterns across all your past conversations to provide more relevant assistance for writing, advice, learning, and more.

Memory isn't just another product feature. It signals a shift from episodic interactions (think a call center) to evolving ones (more like a colleague or friend).

Users maintain full control - you can opt out of this feature in settings or use temporary chats for private conversations. Currently available to Plus and Pro users (except in certain European regions).
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Google finally made the best model - not just in benchmarks but real use.
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Veo 2, Google’s SOTA video model, is rolling out to Gemini Advanced + Whisk

You can create 8s, high-res videos from text prompts fluid character movement + lifelike scenes across a range of styles.

Tip: the more detailed your description, the better.

Plus, you can try Veo 2 using Whisk from Google labs.

Just input images, blend them together, and – now –  β€œanimate” to bring your creation to life. Available for all Google One AI Premium subscribers today.
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OpenAI released o3/o4-mini. The eval numbers are SOTA (2700 Elo is among the top 200 competition coders)

OpenAI’s team expect o3/o4-mini will aid scientists in their research.

And the secret trick is to talk to the models in images.
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Firecrawl just launched FIRE-1, a new agent-powered web-scraper.

It navigates complex websites, interacts with dynamic content, and fills forms to scrape the data you need.
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πŸš€ Top 100 AI apps 2025: trends and insights!

πŸ”₯ ChatGPT is still the king: from 100 million to 400 million active users in a year!

🌟 DeepSeek is tearing up the market: 10 million users in 20 days, #2 in the world!

πŸŽ₯ AI video is on the rise: Hailuo and Kling have surpassed Sora in visits.

πŸ’» For developers: Cursor and Bolt (2 million users in 2 months) are heating up.

πŸ’‘ Interesting: popularity β‰  profit. Apps for plants (PictureThis), nutrition (Cal AI) and languages ​​(Loora) bring in millions, even without the top audience.

🧠 My opinion: the AI ​​market is a field of opportunities! Newcomers like DeepSeek and niche products prove that there is a place for everyone.
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Yale and GoogleDeepMind introduced C2S‑Scale a family open-source LLMs trained to β€œread” and β€œwrite” biological data at the single-cell level.
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Google dropped Gemini 2.5 Flash, a reasoning model matching o4-mini in preview

It's 'thinking budget' (up 24k tokens), can balance between answer quality, cost, and speed

The model performs particularly well on reasoning, STEM, and visual reasoning
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Nvidia presents Eagle 2.5

- A family of frontier VLMs for long-context multimodal learning
- Eagle 2.5-8B matches the results of GPT-4o and Qwen2.5-VL-72B on long-video understanding.
Paper.
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