The most important paper by Google about AGI. A few assumptions behind Google DeepMindβs 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.
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.
β€98π90π₯76π71
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.
Ace is not a chatbot. Ace performs tasks for you.
On your computer. Using your mouse and keyboard.
At superhuman speeds.
Generalagents
General Agents | Introducing Ace
Ace is a computer autopilot that performs tasks on your desktop using your mouse and keyboard.
π237π₯228β€212π212
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.
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.
π₯218π210β€194π179
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.
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.
π203β€196π186π₯150
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.
π₯242π232π214β€203
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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.
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.
β€87π₯76π71π52
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.
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.
β€158π₯157π149π147
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'.
Google
Ironwood: The first Google TPU for the age of inference
Weβre introducing Ironwood, our seventh-generation Tensor Processing Unit (TPU) designed to power the age of generative AI inference.
π₯209π206β€192π173
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 Dubaiβs VARA framework, itβs a game-changer for safety and capital efficiency in digital asset trading.
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 Dubaiβs VARA framework, itβs a game-changer for safety and capital efficiency in digital asset trading.
OKX
We've launched a world-leading collateral mirroring programme with Standard Chartered
OKX - We've launched a world-leading collateral mirroring programme with Standard Chartered
π89π78β€77π₯65
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.
Very helpful if you're trying to learn what an agent actually looks like in code.
GitHub
claude-quickstarts/agents at main Β· anthropics/claude-quickstarts
A collection of projects designed to help developers quickly get started with building deployable applications using the Claude API - anthropics/claude-quickstarts
π₯163β€154π148π144
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).
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).
π232π₯226β€202π185
Google finally made the best model - not just in benchmarks but real use.
β€182π172π₯158π149
Veo 2, Googleβs 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 β now β βanimateβ to bring your creation to life. Available for all Google One AI Premium subscribers today.
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 β now β βanimateβ to bring your creation to life. Available for all Google One AI Premium subscribers today.
Google
Generate videos in Gemini and Whisk with Veo 2
You can now generate videos in Gemini, powered by Veo 2.
β€94π₯76π73π73
OpenAI released o3/o4-mini. The eval numbers are SOTA (2700 Elo is among the top 200 competition coders)
OpenAIβs team expect o3/o4-mini will aid scientists in their research.
And the secret trick is to talk to the models in images.
OpenAIβs team expect o3/o4-mini will aid scientists in their research.
And the secret trick is to talk to the models in images.
Openai
Introducing OpenAI o3 and o4-mini
Our smartest and most capable models to date with full tool access
π112β€111π108π₯97
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.
It navigates complex websites, interacts with dynamic content, and fills forms to scrape the data you need.
Firecrawl
Announcing FIRE-1, Our Web Action Agent: Launch Week III - Day 2
Firecrawl's new FIRE-1 AI Agent enhances web scraping capabilities by intelligently navigating and interacting with web pages.
π127β€121π109π₯90
π Top 100 AI apps 2025: trends and insights!
π₯ ChatGPT is still the king: from 100 million to 400 million active users in a year!
π DeepSeek is tearing up the market: 10 million users in 20 days, #2 in the world!
π₯ AI video is on the rise: Hailuo and Kling have surpassed Sora in visits.
π» For developers: Cursor and Bolt (2 million users in 2 months) are heating up.
π‘ Interesting: popularity β profit. Apps for plants (PictureThis), nutrition (Cal AI) and languages ββ(Loora) bring in millions, even without the top audience.
π§ My opinion: the AI ββmarket is a field of opportunities! Newcomers like DeepSeek and niche products prove that there is a place for everyone.
π₯ ChatGPT is still the king: from 100 million to 400 million active users in a year!
π DeepSeek is tearing up the market: 10 million users in 20 days, #2 in the world!
π₯ AI video is on the rise: Hailuo and Kling have surpassed Sora in visits.
π» For developers: Cursor and Bolt (2 million users in 2 months) are heating up.
π‘ Interesting: popularity β profit. Apps for plants (PictureThis), nutrition (Cal AI) and languages ββ(Loora) bring in millions, even without the top audience.
π§ My opinion: the AI ββmarket is a field of opportunities! Newcomers like DeepSeek and niche products prove that there is a place for everyone.
π258π₯245β€224π224
Yale and GoogleDeepMind introduced C2SβScale a family open-source LLMs trained to βreadβ and βwriteβ biological data at the single-cell level.
β€121π118π112π₯109
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
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
π237β€226π225π₯223
OpenAI now projects $125B in revenue in 2029, with $25B of that from new products not yet announced
The Information reports OpenAI forecasts revenue reaching $125 billion in 2029 and $174 billion in 2030, mainly from AI agents, subscriptions, monetizing free users, and potentially affiliate fees.
According to internal documents seen by The Information, OpenAI expects revenue in 2029 to include $29 billion from AI agents, $50 billion from ChatGPT subscriptions, $22 billion from API access, and $25 billion from monetizing free users and other new, unspecified products.
CEO Sam Altman mentioned recently affiliate fees or taking a percentage of sales generated through user searches as possible revenue sources, while CFO Sarah Friar told the Financial Times there are βno active plansβ for selling traditional advertising.
If they hit it, the current valuation ($300B) will be a steal; Google does ~$400B in revenue and is worth $2T.
The Information reports OpenAI forecasts revenue reaching $125 billion in 2029 and $174 billion in 2030, mainly from AI agents, subscriptions, monetizing free users, and potentially affiliate fees.
According to internal documents seen by The Information, OpenAI expects revenue in 2029 to include $29 billion from AI agents, $50 billion from ChatGPT subscriptions, $22 billion from API access, and $25 billion from monetizing free users and other new, unspecified products.
CEO Sam Altman mentioned recently affiliate fees or taking a percentage of sales generated through user searches as possible revenue sources, while CFO Sarah Friar told the Financial Times there are βno active plansβ for selling traditional advertising.
If they hit it, the current valuation ($300B) will be a steal; Google does ~$400B in revenue and is worth $2T.
β€186π183π₯174π136