Good morning. It’s Friday, August 1st.
On today in tech history: In 2011Google researchers quietly open-sourced DistBelief, their pioneering deep learning framework built for large-scale distributed neural networks. DistBelief directly inspired TensorFlow years later and laid groundwork for scaling deep nets across massive data centers, an underrated moment that shifted AI from academic labs into web infrastructure.
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Meta Detects First “Self-Improving AI”
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DeepMind AI compresses satellite data
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Higgsfield launches free, no-prompt AI video model
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Manus “Wide Research”
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5 Latest AI Tools
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Latest AI Research Papers
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Today’s trending AI news stories
Meta detects first self-improving AI, bets $72B on “personal superintelligence”
Meta has quietly reported early signs of self-improvement in its AI systems – a step where models refine performance without direct human tuning. CEO Mark Zuckerberg called the progress “slow but undeniable,” framing it as a precursor to superintelligence.
Unlike competitors focused on automating jobs, Meta envisions “personal superintelligence” as an AI that augments creativity and decision-making, integrated deeply into each day life like AR glasses. Meta is betting on personal superintelligence that’s rooted in user empowerment, not automation, and models that learn to enhance themselves.
To bring this vision to scale, Meta plans to spice up AI infrastructure spending to $66–72 billion in 2025. Projects include Prometheus in Ohio (targeting 1 gigawatt) and Hyperion in Louisiana, which can reach 5 gigawatts.
Nevertheless, Meta will now not open source its most advanced AI, citing “novel safety concerns,” and pausing work on its open Behemoth model to deal with a closed successor. While the corporate still commits to open-sourcing core infrastructure, it should keep frontier models under tighter control.
The news coincided with Meta’s strong Q2 results: revenue rose 22% to $47.5 billion, driven by AI-enhanced ad targeting; each day lively users climbed to three.48 billion; and net income surged to $18.3 billion, despite a $4.5 billion Reality Labs loss. Read more.
DeepMind AI compresses satellite data 16× to map Earth with 10-meter precision
Google DeepMind has launched AlphaEarth Foundations, an AI system that maps Earth’s land and coastal regions with 23.9% higher accuracy while using 16× less storage than previous approaches. As an alternative of storing raw satellite images, it creates “embedding fields”: compact digital summaries at 10-meter resolution that keep detail intact. The model integrates optical, radar, and climate data to beat gaps from cloud cover, and uniquely supports continuous time mapping, allowing users to interpolate missing periods or track slow environmental changes.
Diagram showing how AlphaEarth Foundations works, taking non-uniformly sampled frames from a video sequence to index any position in time. This helps the model create a continuous view of the placement, while explaining quite a few measurements. | Image: Google DeepMind
Delivered via Google Earth Engine, AlphaEarth Foundations lowers costs and makes high-resolution planetary intelligence available for conservation, supply chain monitoring, and concrete planning, without expensive ground surveys. Over 50 organizations, including Brazil’s MapBiomas and the Global Ecosystems Atlas, have tested it to trace deforestation and map uncharted ecosystems. Read more.
Higgsfield launches free, no-prompt AI video model with $20K contest
Higgsfield AI just dropped MiniMax Hailuo: an AI video model that turns a single image into slick, four-second clips – no prompts needed. With 7,000+ latest presets and unlimited free generations, anyone can create cinematic, TikTok-ready micro-films by simply clicking. Built to maintain motion fluid and magnificence consistent, Hailuo goes beyond remixing stock footage: it crafts every frame from scratch.
We’re giving MiniMax Hailuo to EVERYONE with Unlimited FREE Generations.
We tuned it to work with out a single line of prompt.
With 7000+ Latest Presets & NO Prompts, we’re entering the Click-To-Video Era.
With a $20K contest, too.
Retweet = FULL Release Playbook in your DMs.
— Higgsfield AI 🧩 (@higgsfield_ai)
5:09 PM • Jul 30, 2025
Manus takes on Deep Research tools with Wide Research powered by 100+ parallel AI agents
Chinese AI startup Manus has introduced Wide Research, an experimental system that spins up over 100 parallel AI agents to tackle a single large-scale task. Unlike rival “Deep Research” tools from OpenAI and Google that run sequential, in-depth queries, Manus’s approach uses fully featured agents running concurrently on dedicated virtual machines, dramatically accelerating evaluation and artistic output.
In demos, Wide Research compared 100 sneakers by design and pricing in minutes, and generated dozens of poster designs across distinct visual styles. Built atop Anthropic Claude and Alibaba Qwen models, the system’s agent-to-agent communication architecture reportedly scales compute power as much as 100x without manual setup. Wide Research launches first for Manus Pro users ($199/month), then rolls out to Plus and Basic tiers.
While promising speed and breadth, Manus hasn’t yet provided benchmarks proving accuracy or cost advantages versus single-agent systems, leaving questions around coordination complexity and practical gains. Read more.
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Tim Cook says Apple is ‘open to’ AI acquisitions
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xAI teases Grok video generator
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Enterprises prefer Anthropic’s AI models over anyone else’s, including OpenAI’s.
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Cohere’s latest vision model can process images, diagrams, PDFs, and other forms of visual data
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Fable, referred to as the ‘Netflix of AI’, launches Showrunner after Amazon steps in
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Neo AI introduces NEO that works like a full-stack ML engineer end to finish
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More leaks detail GPT-5’s expanded context, MCP support
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Latest FLUX.1 Krea model delivers open weights, realism-first design
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Visual Story by FT: Contained in the relentless race for AI capability
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GitHub Copilot crosses 20 million all-time users
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LangChain tackles evaluator trust gap with latest Align Evals tool
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Stanford’s latest VR headset uses AI to repair device problem
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Artifacts on Claude now allow users to upload images, text and PDF files for evaluation
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Y Combinator desires to fund the primary ‘10 Person, $100 Billion’ company
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Latest algorithms enable efficient machine learning with symmetric data
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Microsoft to spend record $30 billion this quarter as AI investments repay
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AI can evolve to feel guilt, but only in certain social environments
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Figma’s IPO triples valuation, fuels AI design ambitions
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Amazon to pay Latest York Times $20 million to feed company’s AI
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Which careers are AI-proof? Latest Microsoft study reveals the safest and riskiest
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Why AI researchers are getting paid like NBA All-Stars
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Developer survey shows trust in AI coding tools is falling as usage rises
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Fujitsu starts official development of plus-10,000 qubit superconducting quantum computer targeting completion in 2030
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The 2 people shaping the longer term of OpenAI’s research
5 latest AI-powered tools from around the online
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