Cerebras Systems has come up with a cluster-of-chips solution that offers AI auto-writers 100 times more power.

Essentially, Cerebras is able to process AI algorithms at lightning speed by running code through a number of super high-powered chips — rather than just one.

That extra muscle should come in handy for major AI writing solutions like GPT-3, which already needs a supercomputer to run its algorithms.

Observes Will Knight, a writer for Wired: “Cerebras says it can now run a neural network with 120 trillion connections.

“The largest AI models in existence today have about a trillion connections — and they cost many millions of dollars to build and train.

“But Cerebras says its hardware will run calculations in about a 50th of the time of existing hardware.”

(For an in-depth look at GPT-3, check out: “GPT-3 and AI Writing: Stunning, if Imperfect,” by Joe Dysart.)

In other AI-generated writing news:

*In-Depth Look: Rytr: This company written piece offers an extremely thorough look at Rytr, an auto-writer that uses GPT-3 as its writing engine.

Despite being written by the maker, the detailed examination is mercifully devoid of hype and offers a comprehensive guide of what you can expect from Rytr.

Like similar software, Rytr’s software sits atop GPT-3, customizing how GPT-3 auto-generates writing for its users.

And like similar software, Rytr is designed to auto-generate ads for social media, blog posts, Web copy, emails, job descriptions and the like.

Interestingly, the solution offers some features not available with some other GPT-3 writers, including:

~A choice of 18 tones for your copy, including convincing, awestruck and inspirational

~A tool to add just a few words following an auto-generated sentence that you like

~A plagiarism checker, to ensure the copy Rytr auto-generates does not violate copyright laws

~A detailed gameplan for writing long-form blog posts and articles

*Outlook Adding Auto-Rewriting of Your Emails: Microsoft is readying release of a new feature for Outlook on the Web that will auto-rewrite your emails for you at your option.

Jess Weatherbed, a writer for TechRadar.Pro, likens the new capability to similar help you can get from AI writing assistants like Grammarly.

Similar to Grammarly, the upgrade will analyze your email and offer advice on better wording for what you’re trying to say — along with punctuation and similar tweaks.

Dubbed ‘Tone Detection,’ the free upgrade is slated for release later this month.

*AP Offering Free Consultation on AI Journalism: In a head-turning announcement, The Associated Press has begun offering free consultations for news outlets looking to add AI to their mix.

Observes Ernest King, AI product manager, The Associated Press: “Our program over the next few years will involve going to select newsrooms and helping them identify and deploy AI solutions.

“All of this will be provided free by the AP and its partners — which include the Northwestern University Knight Lab.

“We seek to enable journalists to pursue what humans do best, while bringing in AI to help with the rest.”

*Tweaking GPT-3’s Lyric Writing Chops: Rapper, producer and audio engineer Julian Lonzano says getting GPT-3 to create song lyrics takes a fair amount of cajoling.

Observes Lonzano: “To get very specific types of output from it, you need to write very specific prompts.

“These prompts at best can lead to amazing, short-form, organic-sounding results.

“At worst, they can sound repetitive — like a child regurgitating something they heard on TV.”

The reason the tech needs special handling: GPT-3 runs on AI-driven, predictive analytics, which attempts to generate what you’re looking at by making a very sophisticated ‘guess’ from the inputs you offer.

Essentially, in a perfect world: Learn how to charm GPT-3, and you can reap excellent lyrics, copy, ads, blog posts and the like.

*New MS Word Add-In Punches-Up Legal Briefs: A new legal app that helps polish legal briefs for lawyers has snared another $3.5 million in funding.

Observes Bob Ambrogi, a writer for Law Sites: Clearbrief “does something unlike any other legal technology product I have seen.

“Its algorithm analyzes briefs and other legal documents to identify how well the writer’s sentence is supported by the cited source.

“It works with citations both to the record of the case — such as evidence and discovery materials — and to case law.”

*New Auto-Writer Hops Aboard GPT-3 Gravy Train: Add AISEO to the seemingly ever-growing list of new AI auto-writers using GPT-3 as their writing engine.

Unlike its many competitors, AISEO focuses solely on generating short and long blog posts — as well as serving as a content paraphraser.

The new solution also promises that its resulting copy is search engine optimized.

Ideally, that places the copy it generates for you higher up in search engine returns.

*AI Writing Pioneer Snags Government Contract: Pioneering AI writing tool Arria NLG has snagged a contract to help proliferate AI writing in the U.S. Army.

The Army plans to use the tech to auto-generate reports from military databases.

Observes Sharon Daniels, CEO, Arria NLG: “The Army, D.O.D and federal government agencies need a data literacy strategy that democratizes data, engages its stakeholders and gets rapid user adoption.”

(For an in-depth look at the trend in auto-generated company reports, check-out, “Company Reports That Write Themselves,” by Joe Dysart.)

*One-Stop Solution Rolled-Out for Mining and Processing Documents: Kanverse has released new software that can quickly search through corporate databases for documents that it ingests, classifies, extracts data from and validates.

Dubbed Fluorite, the solution is designed to combine multiple AI technologies with optical character recognition and automation.

The result: An end-to-end product that digitizes enterprise document processing.

Specifically, Fluorite offers:

~Multi-channel ingestion of insurance forms

~Automated AI-powered classification

~Data extraction with up to 99.5% accuracy using AI

~Automated validation of extracted data against business rules

~In-App collaboration in the context of insurance documents

~Automated filing of validated records for insurance software systems

*AI Big Picture: AI Now Making the Computer Chips Needed to Advance AI: Apparently, the age of robots that make robots approaches.

MarketWatch reports Samsung is now using AI to design chips that are being used to run all sorts of apps — including those that use AI.

Observes Jurica Dujmovic, a writer for Market Watch: ” Until now, chip design has been the domain of electrical engineers.

“But a recent Google study could change that.

“It showed that the AI-created chip layout was superior or comparable to those produced by humans in all key metrics — including power consumption, performance, and chip area.”

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–Joe Dysart is editor of RobotWritersAI.com and a tech journalist with 20+ years experience. His work has appeared in 150+ publications, including The New York Times and the Financial Times of London.