Welcome, AI enthusiasts.
The AI safety discourse is boiling over — and a brand new ‘Right to Warn’ petition has each current and former researchers from top firms on the offensive.
With the chorus only growing louder as AI advancements proceed to speed up, the industry feels on the point of a significant reckoning. Let’s investigate…
In today’s AI rundown:
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AI researchers demand ‘Right to Warn’
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Musk diverts AI chips from Tesla to X
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Explain images in real-time with GPT-4o
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OpenAI researcher: AGI coming by 2027
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5 recent AI tools & 4 recent AI jobs
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More AI & tech news
Read time: 4 minutes
LATEST DEVELOPMENTS
OPENAI
🚨 AI researchers demand ‘Right to Warn’

Image source: Right To Warn AI
The Rundown: Current and former employees from top AI labs, including OpenAI, Anthropic, and DeepMind just published an open letter calling for firms to expand whistleblower protections so staff can raise the alarm about potential AI dangers without fear of retaliation.
The small print:
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The ‘Right to Warn AI’ petition was crafted by current and former employees of OpenAI, Anthropic, and Google DeepMind.
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The open letter was also endorsed by AI visionaries Yoshua Bengio, Geoffrey Hinton, and Stuart Russell.
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The statement pushes for AI firms to conform to several principles:
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Eliminating non-disparagement clauses concerning AI risk
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Establishing and facilitating anonymous channels for raising concerns
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Expanding whistleblower protections and anti-retaliation measures
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Several researchers posted threads on their experience, with Daniel Kokotajlo revealing he quit OpenAI after ‘losing hope’ the corporate would act responsibly.
Why it matters: The AI safety discourse is reaching a boiling point, and there may be clearly a significant industry divide that transcends anybody AI firm or researcher. The proposed principles seem reasonable and essential — nevertheless it stays to be seen if the highest AI leaders will actually listen.
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ELON MUSK
📦 Musk diverts AI chips from Tesla to X

Image source: Nvidia
The Rundown: Newly-leaked internal emails to CNBC revealed that Elon Musk ordered chipmaker Nvidia to prioritize shipments of its AI processors to each X and xAI, delaying Tesla’s awaited $500M order by months.
The small print:
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Internal Nvidia emails show Musk redirected 12,000 H100 GPUs in December to X.
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The move contradicts public statements that Tesla would increase H100 purchases from 35,000 to 85,000 and spend $10B on AI infrastructure.
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Musk clarified that Tesla had nowhere to put in the chips, with the automaker still planning to spend $3-4B in 2024 on Nvidia hardware.
Why it matters: While this is probably going a nothingburger in the long term, and Elon remains to be clearly intent on spending massively on AI across his firms, moves like this only fuel critics who remain skeptical of his startup’s entanglements — particularly as Tesla pushes to deliver on lofty self-driving goals.
AI TRAINING
📱 Explain images in real-time with GPT-4o

The Rundown: This hack enables you to access GPT-4o directly from an iPhone via a custom shortcut, allowing you to research and explain images in real time.
Step-by-step:
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Head over to OpenAI’s platform to acquire an API key. Be certain that you have got some credits in your account.
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Go to your iPhone Shortcuts and click on the “+” button.
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Add different actions before your OpenAI API call, e.g., your required prompt as “Text”, your API key as “Text”, and “Take a screenshot”.
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Call GPT-4o by utilizing “*https://api.openai.com/v1/chat/completions”* and acquire an outline of what you’re seeing!
Bonus: You can even simply download the total Shortcut in The Rundown University here 🎉
Get more AI tutorials →
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The small print:
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AI RESEARCH
📶 OpenAI researcher: AGI coming by 2027

Image source: Situational Awareness
The Rundown: Former OpenAI researcher Leopold Aschenbrenner just released a brand new essay series detailing his view on AGI, saying the speed of AI progress will likely be probably the most intense and volatile events in human history.
The small print:
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Aschenbrenner says that ‘no person is pricing in’ what’s coming in AI, and to expect one other GPT-2 to GPT-4 level jump by 2027 (that may take us to AGI).
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The researcher predicts that a whole lot of hundreds of thousands of AGI would then rapidly speed up progress, compressing many years of progress right into a yr.
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He also discussed the economic and military benefits that may include AGI, calling it a national security issue that needs its own ‘Manhattan Project’.
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Aschenbrenner reiterated these views on the Dwarkesh Podcast, also revealing he was fired from OpenAI after raising AI security concerns.
Why it matters: As an insider at OpenAI, Aschenbrenner’s evaluation carries weight — and his projections paint a striking picture of how radically AGI will reshape the world. His commentary on the firing also raises much more drama, given OpenAI’s current media battle with former researchers and the board over safety concerns.
NEW TOOLS & JOBS
Trending AI Tools
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✂️ Underlord by Descript – An AI video editor that works like docs and slides
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📺 Showrunner – Generate AI TV shows and episodes
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🎮 Rosebud AI Gammaker – Create, share, and play AI-powered games
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🚗 Sēkr – AI-enhanced road trip planning and community for vanlife travelers
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Latest AI Job Opportunities
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🎨 Siena – Head of Design
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⚙️ Figure AI – Software Engineer, Developer Tools and Productivity
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🧠 Snorkel – ML Enablement Lead
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📐 Cohere – Senior Manager, Solutions Architect
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QUICK HITS
Cohere is set to boost $450M in fresh funding from Nvidia, Salesforce, Cisco, and others, valuing the corporate at $5B.
Shutterstock announced a brand new take care of Reka AI, with the corporate’s AI licensing business reportedly generating $104M last yr from agreements with major AI firms.
A Stanford University AI team apologized after it was revealed its Llama 3-V architecture was nearly equivalent to Chinese lab ModelBest’s open-source MiniCPM-Llama3-V 2.5 model.
Major AI platforms suffered outages at various points on Tuesday, with ChatGPT, Claude, Gemini, and Perplexity all experiencing intermittent issues.
Cisco launched a brand new $1B global AI investment fund, revealing initial investments in Cohere, Mistral AI, and Scale AI.
Nvidia announced a $50M investment in Twelve Labs Inc., a startup focused on AI search and evaluation of video content.
THAT’S A WRAP
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