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Friday’s top story: Japanese tech giant, Softbank, has acquired UK AI chip company, Graphcore, to expand its AI empire.
🔓 Softbank expands AI empire (again)
🏢 How to automate your office without code
🚨 New bill stops content theft
🔮 How to glimpse into the future of technology
🤑 How to negotiate a higher salary with ChatGPT
🤖 Google robots take over office
🎯 OpenAI’s scale towards human AI
Read Time: 5 minutes
📉 AI stocks print their first meaningful red day this week, with NVIDIA losing 5%, Apple 2%, and Microsoft 2.5%. This change in momentum could be significant if the sell-off continues. Learn more.
Our Report: Japanese tech giant, Softbank, has officially acquired UK-based AI chip maker, Graphcore, after talks began in February.
🔑 Key Points:
Both parties remain tight-lipped on the commercials of the acquisition and “have agreed not to go into the details,” but reports suggest that Graphcore was acquired for somewhere in the region of $500-$600M.
The acquisition closed after national security and regulatory approval were given from relevant bodies in the UK and US, which was unusually quick, given acquisition talks began in February.
Graphcore will be a wholly-owned subsidiary of Softbank but will continue to operate as ‘Graphcore’, with co-founders Nigel Toon and Simon Knowles remaining the CEO and CTO, respectively.
🤔 Why you should care: The acquisition will allow Graphcore to grow its team and give them much-needed capital to scale, after a landmark partnership with Microsoft fell through in 2022, leaving them struggling to make a profit, and it will allow Softbank to continue its mission to dominate the AI sector, after spending $8.9B on AI investments last year.
Together with Innovating with AI
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Our Report: The US Senate Committee on Commerce, Science, and Transportation has introduced a new bipartisan bill—called the COPIED Bill (Content Origin Protection and Integrity from Edited and Deepfaked Media)—to protect content owners and their work from illegal replication and abuse by AI companies.
🔑 Key Points:
The bill is designed to prevent AI companies from using content creators' work to train AI models without consent or compensation, and (if passed) will make removing digital watermarks illegal.
It requires tech companies that develop AI models to allow content creators to attach machine-readable information, documenting the origin and history of a piece of digital content, to their work.
This will give artists, creators, and publishers the right to sue companies if their watermarks have been altered or removed, or if their work was used without permission or compensation.
🤔 Why you should care: The bill will provide “much-needed transparency around AI-generated content,” and put content creators back in control of their content, following escalating warnings about the unethical nature of AI companies using creators’ work without consent or compensation, and copyright lawsuits against big tech companies, like OpenAI.
Our bi-weekly newsletter uncovers where tech titans (like Apple, Meta, and Tesla) are investing their time and capital by scouring the U.S. Patent & Trademark website.
Stay ahead of the curve with proprietary news and analysis of innovation at its earliest stage.
Type this prompt into ChatGPT:
Results: After typing this prompt, you will get ideas about how to secure better benefits and a higher salary when negotiating a new job offer.
P.S. Use the Prompt Engineer GPT by AI Tool report to 10x your prompts.
Our Report: Google’s DeepMind robotics team is training its office RT-2 robots with Gemini 1.5 Pro so they can move around, understand natural language, and complete tasks, better.
🔑 Key Points:
DeepMind employees ask the robots to complete tasks, starting with “Ok, Robot” and the robots respond with “Ok, give me a minute. Thinking with Gemini…” before completing the task.
Tasks they can complete include guiding employees to a power outlet after being shown a mobile and asked “Where can I charge this”, and following directions on a simple map.
The robots have been trained on hours of video footage and tours of the 9,000+ ft office space, where landmarks are pointed out, verbally, so they can respond to written, drawn, and gesture commands.
🤔 Why you should care: Google researchers say the robots have a 90% success rate across over 50 interactions, and “preliminary evidence” shows that they can perform really complex tasks, like checking a fridge to see if a specific drink is available, although it does take each robot between 10-30 seconds to process instructions, so we’re a way off installing these Gemini robots into our homes.
Our Report: OpenAI has created an internal scale that measures the intelligence levels of its Large Language Models (LLMs), to help them track progress towards achieving human-like AI, or Artificial General Intelligence (AGI).
🔑 Key Points:
According to the new scale, ChatGPT is a level 1 in intelligence, but OpenAI says they’re getting closer to level 2, which means the chatbots will have the intelligence level of someone with a PhD.
Level 3 means AI can complete tasks on behalf of a user, level 4 means AI can create innovations, and level 5, the ultimate level, means AI can perform the work of entire organizations of people.
OpenAI has developed this scale to define when AGI has been achieved (rather than leaving it open to interpretation), and so it can test itself (and its competitors) on progress towards this ultimate goal.
🤔 Why you should care: This scale will help OpenAI with its mission, which has always been centered around achieving AGI, and it’s even said that it will stop working on its own models, “if a value-aligned, safety-conscious project comes close to building AGI” before they do, which OpenAI CEO, Sam Altman, believes is just “five years” away.
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Until next time, Martin & Liam.
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