š Grok AI Chat Histories Exposed in Google Search
Grok, Elon Muskās AI chatbot, leaked over 370,000 user conversations through a flawed share feature that made chats publicly searchable on Google. Exposed prompts included sensitive info and illegal queries. Experts call it a serious privacy failure, echoing similar issues at OpenAI and Meta. Users were never clearly warned.
šØāāļø OpenAI Subpoenas Meta Over Alleged Ties to Muskās Takeover Bid
OpenAI has subpoenaed Meta for documents on whether Mark Zuckerberg discussed financing Elon Muskās $97 billion takeover attempt. Meta pushed back, saying Musk and xAI should provide the details, but OpenAI is seeking a court order to compel disclosure. The move adds fresh tension to the legal battle over Muskās failed bid and underscores how rivalries between AI heavyweights are bleeding into the courts.
𦾠DeepSeekās AI Model Upgrade Supports Chinese Chips
DeepSeek has released V3.1, an AI model optimized for Chinaās next-gen domestic chips and faster performance using FP8 precision. The upgrade supports a hybrid inference system with a ādeep thinkingā toggle for complex reasoning. It marks a step in Chinaās tech self-reliance push. API pricing updates will take effect September 6.
š¹ļø Mirage 2 Turns Any Image into a Playable World
AI startup Dynamics Lab has launched Mirage 2, a real-time generative engine that transforms any imageāsketch, painting, or photoāinto an explorable, interactive world. Users can prompt surreal events with text and invite friends to play instantly via shared links. Itās like stepping into your imagination, and letting others join.
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Itās one thing to say AI is āeverywhereā but how many people are truly engaging with it on a regular basis? Stick around for the answer! šļø
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While U.S. AI giants like OpenAI and Meta keep their most powerful models proprietary, Chinese firms are aggressively releasing open-weight alternativesāand itās starting to tilt the balance. Startups pitching to top VCs like Andreessen Horowitz are now more likely to be using Chinese models, which are not only free but also competitive on performance. DeepSeek, Alibaba, and others have made rapid strides, beating American peers on key intelligence benchmarks.
This open-weight approach, while less lucrative upfront, offers broader flexibility and faster adoption. Companies, researchers, and even governments can fine-tune these models for specific needs. ā Read the full article here.
GPT-5ās debut was met with mixed reactions. Some users quickly embraced its capabilities, while others struggled to get the results they expected. Much of that frustration stemmed less from the modelās limits than from the learning curve of adapting to its new prompting dynamics.
To help close that gap, OpenAI released a comprehensive prompting guide for GPT-5. It shows how the model goes beyond incremental improvements, introducing new behaviors that demand fresh prompting strategies. Iāve pulled out the main takeaways so you donāt have to read the whole thing yourself. ā Read the full article here.
A new wave of Gen Z founders is driving San Franciscoās AI boom, skipping or dropping out of elite colleges to chase fast-moving startup dreams. Entrepreneurs in their early 20s, like those behind Mercor, Delve, and Artisan, have raised millions and built real businesses, often from side projects or dorm room experiments. They share a sense of urgency: AI is moving too quickly to wait.
Backed by investors eager to catch the next big thing, this cohort is reshaping the startup scene with youth, energy, and tight-knit collaboration. What started as viral stunts and Ping-Pong nights now looks like Silicon Valleyās next power shift. ā Read the full article here.
Researchers have developed a machine learning model that predicts cancer risk with nearly 99% accuracy using a mix of genetic and lifestyle data. The study, based on 1,200 patient records, compared nine supervised algorithms and found that CatBoostāan advanced boosting methodāoutperformed all others in precision and reliability. Key predictive factors included cancer history, genetic predisposition, and smoking habits.
This work underscores the potential of ensemble models to uncover subtle health patterns and enhance personalized screening. By fusing genetic risk with modifiable behaviors, it offers a compelling roadmap for early detection and preventative care in cancer diagnostics. ā Read the full paper here.
šø Google Offers Gemini AI to Feds for 47Ā¢: As part of a broader government tech push, federal agencies can now access Google's AI tools for under a dollarārivaling similar $1 offers from OpenAI and Anthropic.
ā¢ļø Anthropic Builds Nuclear Safeguards for AI: In a first-of-its-kind move, Anthropic and the U.S. government co-developed a classifier to spot nuclear risk in AI chatsāwith 96% early accuracy.
š§® Excel Adds AI Formula Copilot: Microsoftās new =COPILOT() lets users analyze data with natural language promptsābut warns it may flub answers, especially in high-stakes scenarios.
š¶ļø AI Glasses That Hear Everything: Harvard dropouts are launching āalways-onā smart glasses that record and transcribe conversationsāprivacy critics warn itās like wearing a live wiretap.
š¼ Meta Freezes AI Hiring After $ Spending Spree: After luring 50+ top researchers with mega offers, Meta halts AI hiring amid restructuringāfueling concern over high costs and shaky model performance.
Googleās secretive Nano Banana AI wows with flawless edits, 3D perception, photo restoration, and hyper-realistic image generation.
āļø UI-TARS-7B-SFTAutomates GUI tasks with vision-language AI for seamless perception and reasoning. | šµ AudioShakeAI splits audio into stems (instruments, vocals, drums) for editing or karaoke. | šØāš» AdamigoAI platform delivers personalized and scalable support across all channels. |
According to recent data, 61% of American adults have used some form of AI in the past six months. Zooming out globally, that translates to an estimated 1.7ā1.8 billion people using AI tools like chatbots, smart assistants, or image generators.
Even more striking? Around 500ā600 million people are now using AI every single day. Thatās nearly twice the population of the United States relying on artificial intelligence daily, for tasks ranging from writing emails to generating memes.
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Matthew Berman & The Forward Future Team
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