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Tuesday’s top story: Musk has announced that his Optimus robots will be in high-volume production, for public-use, by 2026.
🤖 Musk robots launching in 2026?
🔓 How to unlock X’s full potential with Tweet Hunter
🌟 NVIDIA's China chip revealed
⚙️ How to scale your business with intelligent automation
💪 How to upsell with ChatGPT
🔥 Ex-Google start-up hits $5.5B
🎬 Google’s AI makes photos talk
Read Time: 5 minutes
📈 AI stocks began the week strongly with NVIDIA leading the way, gaining 4.76% during Monday’s session. Microsoft finished the day positive at 1.33% despite the aftermath of the tech failures that occurred on Friday. Learn more
Our Report: Musk has announced that Tesla will start using its “genuinely useful humanoid robots” (called Optimus) in-house, at the beginning of next year, and will start high-volume production, for public use, in 2026.
🔑 Key Points:
When unveiled in 2022, Optimus could make basic movements, but last year Musk revealed that Optimus had built-in sensors allowing it to work faster and it could also pick up/put down fragile objects, with no breakages.
Musk’s goal is to build an “autonomous humanoid robot capable of performing unsafe, repetitive or boring tasks,” and has told investors he’ll have a “robot able to navigate reality and do tasks, ad hoc,” by next year.
There are doubts over whether this will actually happen, as Musk is known for underestimating timeframes, eg. he said he’d have autonomous “robotaxis” on the streets by 2020, but we’re still waiting for the big reveal.
🤔 Why you should care: Musk’s robotaxis (now rumored to debut in October) recently hit a major roadblock, after a series of crashes forced the National Highway Safety Administration to investigate the autopilot system, but while the autonomous vehicle industry faces challenges, the marketplace can see the need and use for humanoid robots—with companies like Boston Dynamics, Figure, and Honda all working on similar models—so it’ll be interesting to see which pot Musk decides to pour the most $$$ into, first.
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Our Report: AI chip maker, NVIDIA, is reportedly developing a new version of its ‘Blackwell AI chip,’ specifically for the Chinese market.
🔑 Key Points:
NVIDIA is making this new chip—called B20—to comply with tighter US export controls and circumnavigate tougher restrictions designed to prevent advanced chip equipment from reaching China.
They will work with their local Chinese distribution partner—Inspur—to produce, launch, and distribute the B20 AI chip, which is expected to be ready for shipping in the second quarter of 2025.
This comes after a price cut and a consequential surge in sales for the H20 chip in China (despite tougher US trade restrictions), highlighting NVIDIA’s effort to keep market share amidst competition from home-grown Huawei.
🤔 Why you should care: Experts say that when the US completes its annual review of its semiconductor export controls in October, it’s likely they will ban the sale of H20 chips in China, so a new, Chinese-specific chip that complies with the stricter export controls could soothe investor concerns (NVIDIA’s shares climbed over 4% yesterday, after this news broke).
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Cohere—an AI startup that builds custom AI models and was co-founded by ex-Google researchers—has raised $500M from investors including Cisco, AMD, and Fujitsu, with contributions from Salesforce and NVIDIA.
The latest round values the company at $5.5B—double last year's valuation—and funding will be used for “accelerated growth” within the Enterprise sector, building bespoke AI chatbots, capable of performing specialized tasks.
Cohere’s annual revenue is $35M (previously $13M), it counts companies like Oracle and Notion as customers and has a partnership with Google Cloud, which provides the infrastructure to train and run its models.
Google researchers have built a new AI platform—called VLOGGER—which can generate a realistic video of someone talking, moving, and gesturing, from a single, still photograph.
The tool can automatically add different languages to videos, edit footage, and produce full-length videos from one image, with researchers saying that it outperforms similar tools in image quality and realism.
VLOGGER leverages different ML techniques that create images from text descriptions, but concerns have been raised around its potential misuse, as it will make it even easier for users to create deepfakes.
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Until next time, Martin & Liam.
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