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OpenAI is building its own AI chips
PLUS: A look at how DeepMind’s AI helps listen to the cosmos and OpenAI's new jobs platform
OpenAI is reportedly making a major move into hardware, co-designing its own custom AI chips. This step signals a clear strategy to reduce reliance on third-party suppliers, following a path already taken by other tech giants.
This move is designed to gain control over the immense costs of running its models and break its dependency on a single dominant chipmaker. But as OpenAI enters the hardware game, will building its own silicon provide the critical competitive edge needed in the intensifying AI race?
Today in AI:
OpenAI’s push into custom AI chips
DeepMind’s AI helps listen to the cosmos
OpenAI’s new jobs and certification platform
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What’s new? OpenAI is reportedly moving into hardware, co-designing its own AI chip with a major semiconductor manufacturer that is expected to go into production next year.
BREAKING: OPENAI COOKING ITS OWN AI INFERENCE CHIP
> Richard Ho (ex-Google TPU) leading 40 engineers
> broadcom providing critical design and IP
> TSMC will fab it on 3nm node
> inference only
> target mass production in 2026
> could fail on first tape-out— NIK (@ns123abc)
3:04 AM • Sep 5, 2025
What matters?
The chip is being co-designed with US semiconductor firm Broadcom and will be tailored specifically for OpenAI's needs.
This move signals a clear strategy to reduce reliance on Nvidia, whose chips currently dominate the AI market and are in high demand.
OpenAI joins other major AI players like Google and Meta, who have also designed specialized chips to efficiently run their own demanding AI workloads.
Why it matters?
By creating its own custom hardware, OpenAI can gain more control over its technology stack and potentially lower the immense costs of running its models. This step intensifies competition in the AI hardware space and highlights a growing trend of top AI companies building vertically integrated systems for a competitive edge.
What’s new? Google DeepMind unveiled a new AI method that dramatically improves the stability of LIGO's gravitational wave observatories, helping astronomers listen to cosmic events like black hole mergers with unprecedented clarity.
What matters?
The method, named Deep Loop Shaping, tackles “control noise”—vibrations that disrupt the observatory’s mirrors—reducing interference by 30 to 100 times in the most difficult feedback loop.
This increased stability allows astronomers to “listen” for cosmic events from farther away, potentially adding hundreds of new event detections each year and helping study intermediate-mass black holes.
The reinforcement learning controller stabilizes the system so effectively that it brings noise levels below the background “hum” from quantum fluctuations—the tiny jitters caused by light itself.
Why it matters?
This breakthrough helps solve a critical bottleneck in gravitational-wave astronomy, opening the door to a deeper understanding of the universe's formation. The underlying AI method for controlling unstable systems could also find applications in fields like robotics, aerospace, and structural engineering.
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What’s new? OpenAI has officially announced a new jobs platform and certification program to connect AI-skilled workers with companies, directly challenging LinkedIn.
What matters?
The initiative includes the OpenAI Jobs Platform to match talent with employers and OpenAI Certifications to validate AI fluency, with training offered directly inside ChatGPT.
OpenAI aims to certify 10 million Americans by 2030 and is launching with major partners like Walmart, the largest private employer in the U.S.
Studies show that AI-savvy workers are more productive and better paid, and this program directly supports the White House's push for nationwide AI literacy.
Why it matters?
This move shows OpenAI is building the entire ecosystem around its technology, not just the tools themselves. It also creates a fascinating competitive dynamic with its biggest partner, Microsoft, by taking aim at its professional network, LinkedIn.
Everything else in AI
Atlassian acquired The Browser Company, creator of the Arc browser and the AI-focused Dia, in a $610M cash deal to build a next-generation, enterprise-focused AI browser.
Tesla proposed a record-breaking $1T pay package for CEO Elon Musk, tying the compensation to ambitious market cap and operational milestones in AI and robotics.
Mistral nears a $14B valuation less than two years after its launch, as its open-source models and "Le Chat" assistant continue to drive significant investor confidence.
OpenAI rolled out a long-requested chat branching feature for ChatGPT, allowing users to explore different lines of conversation from any point in a chat without disrupting the main thread.
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