How to talk about A.I. like an insider

Published

2 years ago

May 21, 2023

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Here’s a list of some terms used by AI insiders:

AGI — AGI stands for “artificial general intelligence.” As a concept, it’s used to mean a significantly more advanced AI than is currently possible, that can do most things as well or better than most humans, including improving itself.

Example: “For me, AGI is the equivalent of a median human that you could hire as a coworker, and they could say do anything you would be happy with a remote coworker doing behind a computer,” Sam Altman said at a recent Greylock VC event.

AI ethics describes the desire to prevent AI from causing immediate harm, and often focuses on questions like how AI systems collect and process data and the possibility of bias in areas like housing or employment.

AI safety describes the longer-term fear that AI will progress so suddenly that a super-intelligent AI might harm or even eliminate humanity.

Alignment is the practice of tweaking an AI model so that it produces the outputs its creators desired. In the short term, alignment refers to the practice of building software and content moderation. But it can also refer to the much larger and still theoretical task of ensuring that any AGI would be friendly towards humanity.

Example: “What these systems get aligned to — whose values, what those bounds are — that is somehow set by society as a whole, by governments. And so creating that dataset, our alignment dataset, it could be, an AI constitution, whatever it is, that has got to come very broadly from society,” Sam Altman said last week during the Senate hearing.

Emergent behavior — Emergent behavior is the technical way of saying that some AI models show abilities that weren’t initially intended. It can also describe surprising results from AI tools being deployed widely to the public.

Example: “Even as a first step, however, GPT-4 challenges a considerable number of widely held assumptions about machine intelligence, and exhibits emergent behaviors and capabilities whose sources and mechanisms are, at this moment, hard to discern precisely,” Microsoft researchers wrote in Sparks of Artificial General Intelligence.

Fast takeoff or hard takeoff — A phrase that suggests if someone succeeds at building an AGI that it will already be too late to save humanity.

Example: “AGI could happen soon or far in the future; the takeoff speed from the initial AGI to more powerful successor systems could be slow or fast,” said OpenAI CEO Sam Altman in a blog post.

Foom — Another way to say “hard takeoff.” It’s an onomatopeia, and has also been described as an acronym for “Fast Onset of Overwhelming Mastery” in several blog posts and essays.

Example: “It’s like you believe in the ridiculous hard take-off ‘foom’ scenario, which makes it sound like you have zero understanding of how everything works,” tweeted Meta AI chief Yann LeCun.

GPU — The chips used to train models and run inference, which are descendants of chips used to play advanced computer games. The most commonly used model at the moment is Nvidia’s A100.

Example: From Stability AI founder Emad Mostque:

Guardrails are software and policies that big tech companies are currently building around AI models to ensure that they don’t leak data or produce disturbing content, which is often called “going off the rails.” It can also refer to specific applications that protect the AI from going off topic, like Nvidia’s “NeMo Guardrails” product.

Example: “The moment for government to play a role has not passed us by this period of focused public attention on AI is precisely the time to define and build the right guardrails to protect people and their interests,” Christina Montgomery, the chair of IBM’s AI ethics board and VP at the company, said in Congress this week.

Inference — The act of using an AI model to make predictions or generate text, images, or other content. Inference can require a lot of computing power.

Example: “The problem with inference is if the workload spikes very rapidly, which is what happened to ChatGPT. It went to like a million users in five days. There is no way your GPU capacity can keep up with that,” Sid Sheth, founder of D-Matrix, previously told CNBC.

Large language model — A kind of AI model that underpins ChatGPT and Google’s new generative AI features. Its defining feature is that it uses terabytes of data to find the statistical relationships between words, which is how it produces text that seems like a human wrote it.

Example: “Google’s new large language model, which the company announced last week, uses almost five times as much training data as its predecessor from 2022, allowing its to perform more advanced coding, math and creative writing tasks,” CNBC reported earlier this week.

Paperclips are an important symbol for AI Safety proponents because they symbolize the chance an AGI could destroy humanity. It refers to a thought experiment published by philosopher Nick Bostrom about a “superintelligence” given the mission to make as many paperclips as possible. It decides to turn all humans, Earth, and increasing parts of the cosmos into paperclips. OpenAI’s logo is a reference to this tale.

Example: “It also seems perfectly possible to have a superintelligence whose sole goal is something completely arbitrary, such as to manufacture as many paperclips as possible, and who would resist with all its might any attempt to alter this goal,” Bostrom wrote in his thought experiment.

Singularity is an older term that’s not used often anymore, but it refers to the moment that technological change becomes self-reinforcing, or the moment of creation of an AGI. It’s a metaphor — literally, singularity refers to the point of a black hole with infinite density.

Example: “The advent of artificial general intelligence is called a singularity because it is so hard to predict what will happen after that,” Tesla CEO Elon Musk said in an interview with CNBC this week.

Technology

AI chipmaker Cerebras withdraws IPO

Published

4 hours ago

October 3, 2025

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AI chipmaker Cerebras pulls IPO after raising $1 billion

Artificial intelligence chipmaker Cerebras Systems said on Friday that it’s withdrawing plans for an IPO, days after announcing that it raised over $1 billion in a fundraising round.

In a filing with the SEC, Cerebras said it does not intend to conduct a proposed offering “at this time,” but didn’t provide a reason. A spokesperson told CNBC on Friday that the company still hopes to go public as soon as possible.

Cerebras filed for an IPO just over a year ago, as it was ramping up to take on Nvidia in an effort to create processors for running generative AI models. The filing revealed a heavy reliance on a single customer in the United Arab Emirates, Microsoft-backed G42, which is also a Cerebras investor.

In its prospectus, Cerebras said it had given voluntary notice to the Committee on Foreign Investment in the United States about selling shares to G42. In March, the company announced that the committee had provided clearance.

Since its initial filing to go public on the Nasdaq, Cerebras has shifted its focus away from selling systems and more toward providing a cloud service for accepting incoming queries to models that use its chips underneath.

The announced withdrawal comes three days into a U.S. government shutdown that’s left agencies like the SEC operating with a small staff. In a plan for a shutdown published in August, the SEC said its electronic system EDGAR “is operated pursuant to a contract and thus will remain fully functional as long as funding for the contractor remains available through permitted means.”

On Tuesday, Cerebras said it had raised $1.1 billion at a valuation of $8.1 billion in a private funding round. At the time, CEO Andrew Feldman said that the company still wanted to go public, rather than continue to raise venture capital.

“I don’t think this is an indication of a preference for one or the other,” he told CNBC in an interview. “I think we have tremendous opportunities in front of us, and I think it’s good practice, when you have enormous opportunities, not to let them fall by the wayside for lack of capital.”

Feldman thought the original prospectus from last year was out of date, especially considering developments in AI, the spokesperson said on Friday.

Well heeled technology companies have been quickly signing up for additional infrastructure to handle demand. On Tuesday CoreWeave, which rents out Nvidia chips through a cloud service, said it had signed a $14.2 billion agreement with Meta. ChatGPT operator OpenAI said last week that it had committed to spending $300 billion on cloud services from Oracle.

The government shutdown did not factor into Cerebras’ decision, the spokesperson said.

WATCH: Interview with Cerebras CEO Andrew Feldman

Cerebras CEO: Here's why our chips are a more efficient alternative to Nvidia

Technology

Amazon shutters 4 Fresh stores in Southern California as grocery strategy keeps shifting

Published

4 hours ago

October 3, 2025

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Amazon shutters 4 Fresh stores in Southern California as grocery strategy keeps shifting

An employee arranges a salad dressing display at an Amazon Fresh grocery store on December 12, 2024 in Federal Way, Washington.

David Ryder | Getty Images

Amazon is closing four more Fresh supermarkets in Southern California as the e-commerce giant continues to focus its grocery strategy around Whole Foods and delivery.

The closures will take place in the coming weeks, Amazon confirmed to CNBC. They follow the shuttering of four other U.S. locations in recent months, in Washington, Virginia, New York and a Los Angeles suburb.

“Certain locations work better than others, and after an assessment, we’ve made the decision to close these Amazon Fresh locations,” Amazon spokesperson Griffin Buch said in a statement. “We’re working closely with affected employees to help them find new roles within Amazon wherever possible.”

At one Fresh supermarket in La Verne, California, employees were told to gather for an all-hands meeting on Wednesday, according to an internal message viewed by CNBC. They learned at the meeting that the store would close in mid-November, and that employees would receive a severance package, according to a person familiar with the matter who asked not to be named because the details were confidential.

The other three stores that are closing are in cities of Mission Viejo, La Habra and Whittier.

Last week, Amazon said it intends to close 14 Fresh grocery stores in the U.K. and convert its five other locations there into Whole Foods markets.

Amazon said it regularly evaluates its store portfolio, which can lead to opening, reopening, relocating or closing certain locations. In the U.S., the company has more than 60 remaining Fresh stores. Last year, the company removed its “Just Walk Out” cashierless technology from the stores. It’s also been culling its footprint of Go cashierless convenience stores.

Amazon has been determined to become a major grocery player for nearly two decades. The company launched Amazon Fresh in 2007, then a pilot project for fresh food delivery, before acquiring upscale chain Whole Foods for $13.7 billion in 2017, its biggest purchase on record.

Amazon debuted its Fresh grocery chain in 2020, with an eye toward mass-market shoppers. The rollout has been turbulent since its early days.

The company opened a flurry of Fresh locations by 2022, but the expansion plans ran into CEO Andy Jassy’s widespread cost-cutting efforts as the company reckoned with the impact of rising interest rates and soaring inflation. In 2023, Amazon announced it would shut some Fresh stores and halt further openings temporarily as it evaluated how to make the chain stand out for shoppers.

While it’s closing Fresh stores, Amazon continues to “innovate and invest in making grocery shopping easier, faster, and more affordable,” Buch said. The company still maintains 500 Whole Foods locations and has opened mini “daily shop” Whole Foods stores in New York City.

On Wednesday, Amazon also launched a new “price-conscious” grocery brand that will be offered online and in its physical stores. And last month, Amazon expanded same-day delivery of fresh foods to more pockets of the U.S.

Jassy and other company executives have touted the success of sales of “everyday essentials” within its online grocery business, which refers to items such as canned goods, paper towels, dish soap and snacks. Jassy told investors at the company’s annual shareholder meeting in May that he remains “bullish” on grocery, calling it a “significant business” for Amazon.

WATCH: Amazon grocery could be a trojan horse to more revenue

Amazon's grocery could be a trojan horse to move revenue higher, says Evercore ISI's Mark Mahaney

Technology

Quantum stocks Rigetti Computing and D-Wave surged double-digits this week. Here’s what’s driving the big move

Published

9 hours ago

October 3, 2025

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Quantum stocks Rigetti Computing and D-Wave surged double-digits this week. Here's what's driving the big move

Inside Google’s quantum computing lab in Santa Barbara, California.

CNBC

Quantum computing stocks are wrapping up a big week of double-digit gains.

Shares of Rigetti Computing, D-Wave Quantum and Quantum Computing have surged more than 20%. Rigetti and D-Wave Quantum have more than doubled and tripled, respectively, since the start of the year. Arqit Quantum skyrocketed more than 32% this week.

The jump in shares followed a wave of positive news in the quantum space.

Rigetti said it had purchase orders totalling $5.7 million for two of its 9-qubit Novera quantum computing systems. The owner of drugmaker Novo Nordisk and the Danish government also invested 300 million euros in a quantum venture fund.

In a blog post earlier this week, Nvidia also highlighted accelerated computing, which it argues can make “quantum computing breakthroughs of today and tomorrow possible.”

Investors have piled into quantum computing technology this year, as tech giants Microsoft, Nvidia and Amazon have embraced the technology with a wave of new chip announcements, multi-million dollar investments and research plans.