Intel’s Itanium architecture was an interesting experiment, but it has gone down in history as one of the chip giant’s bigger flops, so much so that it earned the name “Itanic” in the tech press. This is perhaps unfair, considering it did limp on until a quiet EOL in 2020. We didn’t know anyone missed it, but perhaps it was more the technical challenge than nostalgia for obsolete server hardware that led [Yufeng Gao] and [gdwnldsKSC] to spin up an instruction-set translator for the late, lamented, IA-64 architecture.
Note that it’s very much in alpha, version 0.1, so don’t expect all the things. Neither HP-UX and OpenVMS will boot, which is a pity since Itanium’s great success was arguably winning those OSes and thereby killing the bespoke architectures HP and DEC had at the time. Gentoo can get to a shell, as long as you use Kernel 6.6 or older, and Windows Server 2003 and XP-64 both apparently boot.
It’s not incredibly performant, with 486-level speeds when running on Ryzen 5000 series hardware, but then, it is a 64-bit hardware being emulated here, and pretty weird hardware at that. Itanium’s Very Long Word Instruction architecture was notoriously hard to program well. Specifically, it was hard to compile optimized programs for, so we expect optimizing an emulator is going to be similarly difficult. That’s why this is so impressive, even at this early stage.
It’s official: We’re getting a pickle emoji next year. On Tuesday, July 14, the Unicode Consortium announced the nine new emoji you’ll see on your device in 2027. One new emoji is the pickle, and that means the eggplant’s reign as the go-to emoji for male anatomy could be coming to an end.
Here are the nine new emoji you will see on your device next year.
A cracking face
A leftward thumb sign gesture
A rightward thumb sign gesture
A monarch butterfly
A pickle
A lighthouse
A meteor
An eraser
A net with a handle
The Unicode Consortium originally proposed a squinty face emoji in 2025. However, the Unicode Emoji Standard & Research Working Group recommended changing that emoji to a cracking face in January.
Honestly, the cracking face emoji feels more relevant to today than the squinty face emoji. The squinty face read as suspicious while the cracking face emoji screams, “I’m putting on a brave face in these trying times.” If that’s not the most relatable sentiment these days, I don’t know what is.
While the Unicode Consortium approved these emoji, companies like Apple and Samsung still need to design and then implement their versions of the emoji. Those companies usually add the emoji to devices as part of a software update in the spring, so you likely won’t see these emoji on your phone until 2027.
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Before these emoji land on your device, the Unicode Consortium will begin fielding proposals for the next round of new emoji. Anyone can submit an idea for a new emoji, and the Unicode Consortium usually uploads proposed new emoji to a public document late in the year. For example, the upcoming emoji were originally accepted in October, 2025.
Zach began writing for CNET in November, 2021 after writing for a broadcast news station in his hometown, Cincinnati, for five years. You can usually find him reading and drinking coffee or watching a TV series with his wife and their dog.
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It’s officially the second half of 2026, which is going to be all about Grand Theft Auto 6. Until then, Sony has a new selection of games coming to PS Plus in July that includes Avatar: Frontier of Pandora, Dying Light and a couple of classic PlayStation 2 games.
PS Plus, which is Sony’s version of Xbox Game Pass, offers a large, constantly expanding library of games. Subscribers can choose from the Essential, Extra and Premium tiers, each with unique perks and benefits. Starting at $11 a month, the plans give subscribers access to games and rewards, and each month, all subscribers can play a handful of new games at no additional charge.
If you’re a PlayStation Plus Extra or Premium subscriber, you can grab these games starting July 21.
Avatar: Frontiers of Pandora
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Avatar: Frontiers of Pandora came out in 2023, a year after Avatar: The Way of Water released in theaters. Developed by Massive Entertainment – a division of Ubisoft – the open-world action-adventure puts players in the role of a Na’vi raised by the Resources Development Administration, or RDA, before returning to defend Pandora. Set in the previously unseen Western Frontier, the game emphasizes exploration, aerial traversal on an ikran and combat using both traditional Na’vi weapons and human firearms. While its gameplay shares many similarities with the Far Cry series, its lush environments and faithful recreation of Pandora earned praise from critics.
Avatar: Frontiers of Pandora will be available for PS Plus Extra and Premium subscribers starting July 21.
Rise of the Ronin
Team Ninja went a different direction than its usual Ninja Gaiden style with 2024’s Rise of the Ronin. Set during Japan’s turbulent Bakumatsu period in the late 19th century, the open-world action RPG lets players shape the story by siding with competing political factions. Combat combines fast-paced swordplay with firearms and other period weapons with the challenging gameplay the studio is known for. Its blend of historical events, exploration and player-driven choices helped distinguish it from Team Ninja’s previous action games.
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Rise of the Ronin is now available for PS Plus Extra and Premium subscribers.
Firefighting Simulator: Ignite
Firefighting Simulator: Ignite puts players in the role of a firefighter responding to emergencies across a large fictional city in the American Midwest. Whether playing solo with AI teammates or cooperatively with up to three friends, players battle dynamic fires, rescue civilians and use authentic firefighting equipment to contain increasingly dangerous blazes. Powered by Unreal Engine 5, the game features real-time fire, smoke and heat simulation designed to create a more realistic firefighting experience.
Firefighting Simulator: Ignite will be available for PS Plus Extra and Premium subscribers starting July 21.
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Mighty Morphin Power Rangers: Rita’s Rewind
Mighty Morphin Power Rangers: Rita’s Rewind is a true nostalgia bomb of a game. The side-scrolling beat-’em-up reimagines the classic 1990s TV series with pixel art visuals, cooperative multiplayer and familiar villains, including a robotic version of Rita Repulsa. Players battle through stages inspired by the show before piloting Dinozords and the Megazord in 3D action sequences that break up the traditional brawler gameplay.
Mighty Morphin Power Rangers: Rita’s Rewind will be available for PS Plus Extra and Premium subscribers starting July 28.
Dying Light
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It’s been more than a decade since Dying Light was released, but it’s still a title that gamers fawn over. Players explore the zombie-infested city of Harran using a fast-paced parkour system that makes traversing rooftops as important as combat. Scavenging for supplies, crafting weapons and surviving a dynamic day-night cycle keep the tension high as more dangerous infected emerge after dark. Its fluid movement and intense survival mechanics helped make it one of the most acclaimed zombie games of its generation.
Dying Light will be available for PS Plus Extra and Premium subscribers starting July 21.
Citizen Sleeper 2: Starward Vector
Citizen Sleeper 2: Starward Vector builds on its predecessor by sending players across a lawless star system as an escaped android searching for freedom. Rather than focusing on traditional combat, the game emphasizes dialogue, dice-based skill checks and resource management as players assemble a crew and take on dangerous contracts. Its choice-driven storytelling and tabletop-inspired mechanics make every decision feel meaningful, with multiple paths that shape how the story unfolds.
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Citizen Sleeper 2: Starward Vector will be available for PS Plus Extra and Premium subscribers starting July 28.
Snow Bros. Wonderland
Snow Bros. Wonderland revives the long-running arcade franchise with a fresh 3D isometric look while staying true to its classic action-platforming roots. Players freeze enemies into snowballs before kicking them across each stage to defeat other foes and rack up combos. Cooperative play, colorful environments and larger-than-life boss battles help modernize the series without losing the charm that made the original games fan favorites.
Snow Bros. Wonderland will be available for PS Plus Extra and Premium subscribers starting July 28.
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Psi-Ops: The Mindgate Conspiracy
Psi-Ops: The Mindgate Conspiracy was first released for the PS2 in 2004 and had a mix of interesting physics gameplay that was a big trend in gaming at the time. Players control Nick Scryer, a secret agent who combines traditional gunplay with psychic abilities like telekinesis, mind control and pyrokinesis to take down enemies. The game’s physics-based powers encouraged creative problem-solving and helped it stand out from other action shooters of its era, earning it a cult following years after its release.
Psi-Ops: The Mindgate Conspiracy will be available for PS Plus Premium subscribers starting July 21.
Indigo Prophecy
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Before it made a name for itself with the games Heavy Rain and Detroit: Become Human, developer Quantic Dream first experimented with making the point-and-click adventure gameplay style a bit more action-oriented with Indigo Prophecy. The supernatural thriller follows several interconnected characters as they investigate a string of mysterious murders while uncovering a conspiracy that threatens humanity. Its cinematic presentation, branching narrative and quick-time events helped lay the foundation for the studio’s later interactive dramas.
Indigo Prophecy will be available for PS Plus Premium subscribers starting July 21.
PlayStation Plus subscriptions start at $10 a month
Melanie Nakagawa, Microsoft chief sustainability officer, left, speaking with GeekWire reporter Lisa Stiffler at a fireside chat at Seattle City Hall on July 17. (PNW Climate Week / Fer Sagastume Photo)
Microsoft Chief Sustainability Officer Melanie Nakagawa faced a barrage of pointed questions from the audience Friday during a session at the annual Pacific Northwest Climate Week in Seattle.
Protesters challenged Nakagawa through most of the 30-minute session held in a conference room at Seattle’s City Hall, calling out the company’s use of fossil fuel energy sources to power its AI data centers and challenging Microsoft’s commitment to climate goals set years ago.
As a reporter covering sustainability issues for GeekWire, I moderated the session. Many of the issues raised by the crowd were on my list of questions for Nakagawa. The disruptions also included chants from protesters seated among attendees, at times going beyond climate issues to condemn Microsoft’s technology deals with Israel.
Security guards ultimately ushered some protesters out of the space, while others remained. Interruptions from the audience continued for all but the final 10 minutes of the session.
The event capped off Pacific Northwest Climate Week, which included conversations around the city and region about climate change solutions, policies and innovations.
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Microsoft has for many years been viewed as an environmental corporate leader, setting an ambitious goal in 2020 to become carbon negative within a decade. It created an internal carbon tax — one of the corporate world’s largest — that charges individual Microsoft divisions for emissions from sources like air travel to fund climate-friendly initiatives. The company is credited with helping create and sustain the carbon dioxide removal sector, among other roles.
But the rapid expansion of AI data centers and their huge energy demands are undercutting Microsoft’s standing. The company recently released its annual sustainability report, disclosing that its carbon footprint grew 25% last year, moving it further from its 2030 target.
Microsoft CSO Melanie Nakagawa, left, and GeekWire reporter Lisa Stiffler before a fireside chat was derailed by protesters. (PNW Climate Week / Fer Sagastume Photo)
One protester’s question was about a deal announced earlier this year in which Microsoft is partnering with Chevron to build a 2.7 gigawatt natural gas facility to power a data center campus in Texas. I asked Nakagawa how the company defends the agreement, and she pointed to the 4.7 gigawatts of renewable energy that Microsoft has supported in the state. I followed up by asking about the Redmond, Wash.-based company’s commitment to carbon dioxide removal (CDR) projects given recent reports about a pause on new deals.
Nakagawa was unable to answer before the crowd drowned her out with a call-and-response chant: “Microsoft, you can’t hide. We can see your dirty side.”
Another protester criticized the escalating pursuit of AI. “You’re selling us a product that we don’t even need, and we never should ask for,” he said. “No one wants AI. You’re destroying the climate with AI.”
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I brought up legislation proposed earlier this year in Washington to mandate clean energy use and bring transparency to data center impacts in the state. Microsoft opposed and helped defeat the bill, though the company says it wants to work with lawmakers to pass rules next year. I asked what needed to change in the legislation for Microsoft to support it.
Nakagawa didn’t provide specifics, but noted that this year, for the first time, the company shared facility-level information in its annual report on electricity and water use for data centers worldwide.
“People want to know more about the data, and we believe you can have an honest and candid conversation with transparency and access to that information and data,” she said.
Given the obvious public concerns, I asked Nakagawa, “Do you really honestly believe that by 2030, the company can hit that carbon-negative goal?”
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Nakagawa pointed to wide-ranging initiatives that are starting to help curb specific emissions, including investments to make Xbox devices lower carbon and financial support for the recent opening of a production plant in Moses Lake, Wash., for sustainable aviation fuel company Twelve.
“There are a couple areas where we’re seeing a lot of promising progress,” she said. “Look, this is going to be a hard target. We’ve not been at all shying away from the fact that this is a difficult goal.”
Apple has quietly increased the price of Apple Music in the US, with individual subscriptions now costing $11.99 per month instead of $10.99.
The change also affects Family and Student plans. In addition, several Apple One bundles are impacted. The price rise comes almost four years after Apple last increased Apple Music subscription fees in October 2022.
The biggest jump is for the Apple Music Family plan, which now costs $19.99 per month, up from $16.99. The Student plan has also increased by $1, bringing the monthly fee to $6.99.
Apple has also adjusted pricing for two of its Apple One bundles. While the Individual plan remains unchanged, the Family tier now costs $27.95 per month, up by $2. Meanwhile, the Premier plan has increased to $39.95 per month. Apple has also confirmed similar price increases in Brazil.
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In a statement to Music Business Worldwide, Apple said the latest changes are “the result of rising licensing costs,” suggesting that higher payments to rights holders and music labels are behind the increase.
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The price hike means Apple Music now sits closer to many of its biggest streaming rivals. However, the service continues to distinguish itself with features such as Lossless Audio, Hi-Res Lossless, Spatial Audio with Dolby Atmos, live radio stations and a catalogue of more than 100 million songs.
For existing subscribers, the increase is relatively modest on the Individual plan, but families will notice a more significant jump. Moreover, an extra $3 each month adds up to $36 more per year. This makes it one of the largest increases Apple has introduced for the service.
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Spotify, YouTube Music and other services have all introduced price increases in recent years. As a result, premium music subscriptions are becoming steadily more expensive across the board.
If you’re already subscribed, the updated pricing should appear on your next billing cycle. New customers signing up from today will pay the new rates immediately. Meanwhile, anyone considering Apple’s wider ecosystem may want to compare whether an Apple One bundle now offers better overall value than paying for Apple Music on its own.
Bats are remarkable creatures, able to fly at night or inside the confines of caves without light to guide their way. A team of researchers at Worcester Polytechnic Institute (WPI) has determined how to use low power ultrasonic sensors to guide drones in obscured environments.
While radar, lidar, and GPS are all great for navigation and sensing, they can run into issues when light is obscured or can take too much power to be practical for the limited battery life of a drone. The researchers found that a dual sonar array could be used to implement a much lower power sensing system for a drone that performs well in environments that would stymie a computer vision system.
A shield placed behind the array cuts down on the sound of the propellers that would otherwise drown out the signal, and further signal analysis via a neural net separates the echoes of objects in front of the drone from the background. The prototype could navigate in various simulated environments like forests, smoke, and snow. It looks like it even got a chance to go for a flight in the actual woods. All the code and hardware designs are Open Source, so have at it!
Chris Fall, the director of the Center for AI Standards and Innovation (CAISI), has resigned, the agency confirmed to multiple news outlets.
He was appointed just three months ago after the last appointee, Collin Burns, left in less than a week, The Washington Post reported at the time. Burns was reportedly “pushed out” of the job in April because he previously worked for Anthropic and the Trump administration had been battling with the company, sources told the Post.
No reason was given for Fall’s departure. Prior to leading CAISI, Fall was the director of the Department of Energy’s Office of Science during the first Trump administration and had been the acting director of the DOE’s Advanced Research Projects Agency-Energy. He worked in the DOE’s Office of Naval Research (ONR) prior to that.
Before Burns and Fall, the agency was led by venture capitalist David Sacks, whose title at the time was White House AI and crypto czar. Sacks stepped down in March.
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CAISI, which operates under the National Institute of Standards and Technology, is the primary organization for developing technical standards and testing methods for AI models as well as assessing cybersecurity risks. Yet it was not the agency at the center of the most recent model-risk brouhaha.
That occurred in June when the U.S. Commerce Department invoked an obscure export control directive that effectively forced Anthropic to pull its Mythos and Fable models from the market. The ban was lifted by the end of the month, when Secretary of Commerce Howard Lutnick said he was satisfied with Anthropic’s safety plans.
Earlier this month, the White House also signed an executive order for a new AI safety oversight program called “Gold Eagle” that creates a clearinghouse for cybersecurity vulnerability coordination. A host of federal organizations were named as part of the program, including the Commerce Department and Department of Homeland Security. But, as CNBC pointed out, CAISI was not among the federal organizations mentioned.
Meanwhile, after Anthropic’s models were freed from the ban, Google DeepMind CEO Demis Hassabis began calling for the creation of an independent, industry-run standards body to regulate frontier AI modeled after FINRA — the same sort of mission that CAISI was formed to tackle.
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Fall’s resignation also follows this weekend’s handwringing over Chinese AI lab Moonshot’s new version of its open model Kimi, which performed competitively against flagship frontier models. The administration was weighing efforts to somehow ban Chinese open models, Axios reported. This sparked immediate debate and outrage over the weekend, including from Sacks, who argued that regulations shouldn’t be used as a protectionism strategy for U.S. proprietary AI labs.
While CAISI has released a few reports on the capabilities of Chinese open-weight models Z.ai’s GLM-5.2 and DeepSeek V4 Pro, it hasn’t talked much about its processes for testing. (Open weight means these models can be publicly downloaded and run locally, but its training code and datasets are not available). Since July 9, TechCrunch has sent multiple inquiries to both the DoC and NIST about how its LLM evaluations work and has not received a response.
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A new NYT Connections puzzle appears at midnight each day for your time zone – which means that some people are always playing ‘today’s game’ while others are playing ‘yesterday’s’. If you’re looking for Monday’s puzzle instead then click here: NYT Connections hints and answers for Monday, July 20 (game #1135).
Good morning! Let’s play Connections, the NYT’s clever word game that challenges you to group answers in various categories. It can be tough, so read on if you need Connections hints.
What should you do once you’ve finished? Why, play some more word games of course. I’ve also got daily Strands hints and answers and Quordle hints and answers articles if you need help for those too, while Marc’s Wordle today page covers the original viral word game.
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SPOILER WARNING: Information about NYT Connections today is below, so don’t read on if you don’t want to know the answers.
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NYT Connections today (game #1136) – today’s words
(Image credit: New York Times)
Today’s NYT Connections words are…
MUSIC
GRAM
DRIVER
VISION
TUBE
CROP
BOOK
APP
ORCHESTRATION
EXTENSION
TANK
KINESIS
PROMPTER
HALTER
LYRICS
PLUGIN
NYT Connections today (game #1136) – hint #1 – group hints
What are some clues for today’s NYT Connections groups?
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YELLOW: Types of a similar garment
GREEN: Computer terms
BLUE: Parts of a composition
PURPLE: Begin with word that rhymes with Nelly
Need more clues?
We’re firmly in spoiler territory now, but read on if you want to know what the four theme answers are for today’s NYT Connections puzzles…
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NYT Connections today (game #1136) – hint #2 – group answers
What are the answers for today’s NYT Connections groups?
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YELLOW: KINDS OF TOPS
GREEN: SOFTWARE DOWNLOADS
BLUE: ELEMENTS OF A MUSICAL
PURPLE: TELE____
Right, the answers are below, so DO NOT SCROLL ANY FURTHER IF YOU DON’T WANT TO SEE THEM.
NYT Connections today (game #1136) – the answers
(Image credit: New York Times)
The answers to today’s Connections, game #1136, are…
BLUE: ELEMENTS OF A MUSICAL: BOOK, LYRICS, MUSIC, ORCHESTRATION
PURPLE: TELE____: GRAM, KINESIS, PROMPTER, VISION
My rating: Easy
My score: Perfect
This happens very rarely to me, but I saw the hardest group immediately today, with PROMPTER and VISION helping me connect GRAM and KINESIS.
It felt like an easy purple, but maybe telegram caught a few people out seeing as they are now a fairly pointless form of communication.
Regardless, I was rewarded with my 50th Purple First badge — it has taken me a while to reach this milestone, with my haphazard play style instead being to just connect the first group I see, rather than looking for the most likely to be a purple. I can’t imagine being that tactical with Connections.
In truth, this felt like a game where any of the groups could have been yellow on any other day, although all of the groups did contain things that have largely disappeared.
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Yesterday’s NYT Connections answers (Monday, July 20, 2026, game #1135)
YELLOW: ANNOUNCE: BLARE, HERALD, SOUND, TRUMPET
GREEN: THINGS TO CLICK: BUTTON, ICON, LINK, MENU
BLUE: ASSOCIATED WITH PEARLS: BUBBLE TEA, OYSTER, SWINE, WISDOM
PURPLE: STARTING WITH ALCOHOLIC BEVERAGES: ALEXA, MEADOW, PORTOBELLO, SAKES
What is NYT Connections?
NYT Connections is one of several increasingly popular word games made by the New York Times. It challenges you to find groups of four items that share something in common, and each group has a different difficulty level: green is easy, yellow a little harder, blue often quite tough and purple usually very difficult.
On the plus side, you don’t technically need to solve the final one, as you’ll be able to answer that one by a process of elimination. What’s more, you can make up to four mistakes, which gives you a little bit of breathing room.
It’s a little more involved than something like Wordle, however, and there are plenty of opportunities for the game to trip you up with tricks. For instance, watch out for homophones and other word games that could disguise the answers.
It’s playable for free via the NYT Games site on desktop or mobile.
We all know that Google and other big players pick and choose what information people see, but we sometimes overlook it outside of the search and social media space. [Lauren Leek] decided to take a look at how Google Maps picks winners and losers in the restaurant scene in London.
Building a machine learning model to determine a new restaurant recommendation (as one does), [Leek] uncovered interesting, and perhaps concerning, elements of how Google Maps ranks restaurants. Broken down by relevance, proximity, and prominence, many new restaurants face the issue of not drawing traffic without reviews and vice-versa causing a vicious cycle. Relevance and proximity are fairly straightforward, but what goes into “prominence?”
[Leek] found that “it is not just what people think of a place – it is how often people interact with it, talk about it, and already recognise it.” This leads to chains and high foot traffic areas awash in reviews while more out-of-the-way places find it more difficult to draw traffic. Some of this is expected and would be happening even when word of mouth was the primary way to find out where to eat, but as with many things, the algorithm amplifies this, along with the undisclosed paid placement of restaurants in Maps results.
While still in its infancy, [Leek] built a public dashboard where people can sort restaurants in the city. The machine learning algorithm is designed to identify places that are hidden gems that punch above their Google Maps weight and may make you look like the trendy one (if you live in London).
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Zooming out further, [Leek] found larger clusters that revealed restaurant “diversity, in other words, is not just about taste. It is about where families settled, which high streets remained affordable long enough for a second generation to open businesses, and which parts of the city experienced displacement before culinary ecosystems could mature.”
We spend hours testing every product or service we review, so you can be sure you’re buying the best. Find out more about how we test.
Adobe is a popular brand when it comes to all things creative, including AI content generation and editing. With its newly improved Firefly tool, Adobe has taken AI content generation a step further with realistic, real-time outputs.
In addition to being highly accurate, Firefly is also one of the most affordable tools on the market today. But is it the best AI video editor for your needs? Read on to find out. In this article, we’ve put Firefly to the test, examining its features, pricing, ease of use, and overall value for money.
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Adobe Firefly: Plans and pricing
Adobe Firefly is available online by clicking here, as well as part of the Creative Cloud suite of apps.
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It offers one of the most generous free video editing software we’ve seen. Instead of capping your monthly or one-time usage, Adobe allows you to generate a limited number of images and videos each day. This means you can continue using Firefly for a longer period, provided you stay within the daily limits.
What we like about the free plan is that Firefly does not lock its image or video editing features behind paywalls. Even on the free plan, you get access to features such as Generative Fill, Background Removal, AI Markup, video upscaling, text-based editing, as well as audio features such as generating soundtracks, speech, text-to-avatar, and more. Unlike other platforms, Firefly’s free plan can actually come in handy for limited individual use.
(Image credit: Adobe Firefly)
Its paid plans are also among the most inexpensive we’ve seen in the category, with the Standard plan starting at $8.49 per month when billed annually, which comes with 2,000 credits.
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With this plan, you get access to all the AI models Firefly has to offer, with hard upper limits on the number of images and videos you can generate with each model. Videos, however, are capped at a maximum duration of five seconds, which might not be enough for users looking to generate long-form content. Besides this, you get access to unlimited Firefly Boards, while the remaining features stay the same as those in the free plan.
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Next is the Pro plan at $16.99 per month (4,000 credits), billed annually, where you get unlimited access to several AI models such as Gemini 2.5 Flash, FLUX.1 Kontext, and others. The maximum number of images and videos you can generate is also higher than in the Standard plan.
Then there’s the Pro Plus plan, priced at $29.38 per month, where you get up to 10,000 credits and higher limits on image and video generation. In this plan, a wider range of models comes with unlimited access, including Gemini 3.0, ChatGPT Image, Runway Gen-4.5, and Gemini 3 Nano Banana Pro 2K.
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Finally, there’s the Premium plan at $118.93 per month, offering 50,000 credits and unlimited access to almost all AI models except a few. This plan is ideal for large content creation and creative teams.
Adobe Firefly: Features
Right off the bat, what impressed us most about Firefly is its brainstorming and early-stage concepting feature called Firefly Boards. It is essentially an infinite-canvas mood board and ideation workspace that lets you upload your own images, sketches, or stock images, or generate new ones.
You can select multiple assets and combine elements while brainstorming ideas with your creative team. This is similar to Midjourney- or Discord-style iteration, giving remote creative teams a space to flesh out new ideas.
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(Image credit: Adobe Firefly)
Moreover, Firefly offers access to more than 10 popular video, audio, and image models, each with its own limits on the amount of content you can generate. Some notable features are Generative Expand and Generative Fill, which let you expand the canvas of an image or video after it has been generated using Adobe’s AI engine. Similarly, there’s also Generative Remove, which helps you remove elements from a piece of content.
Firefly also throws in a range of audio features, such as the ability to generate speech, translate videos from one language to another, or add text-to-sound effects to your content. However, we were a bit disappointed with its video editing features, such as trimming, arranging, and refining content, all of which are still in beta. Its AI assistant is also at a very early stage and currently supports only one conversation at a time.
You also have the option to upload an image to provide Firefly with a style or structure reference and create a consistent look across a batch of images. Unlike many other AI tools, Firefly allows you to use your own images to train its AI models and create custom models. This is still an early-stage feature, and we expect it to improve over the next year or so.
Firefly has also expanded its multilingual reach and now supports prompts in more than 100 languages, along with translations in more than 20 languages. There’s also an option for bulk actions such as background removal, color grading, and cropping.
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Its mobile apps have also improved a lot over the past year and now offer native iOS and Android apps with an experience that’s very close to the web interface. And of course, Firefly is part of Adobe’s broader AI-powered content generation and editing ecosystem, integrating directly with apps like Photoshop and Illustrator.
Adobe Firefly: Interface and in use
Adobe Firefly is by far one of the most improved image and video editing software we have seen in a long time. One of the biggest criticisms of Firefly was that it did not offer any option to edit the images it generated. However, all that has changed with its revamped user interface.
Not only did it generate a pretty high-quality image for us, but it also provided several editing options. We especially liked its Tune feature, which is currently in beta and allows you to change the look of an image by selecting from a list of preconfigured options.
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There is also a prompt option, which lets you keep fine-tuning your generated image with follow-up prompts.
(Image credit: Future)
However, if that is too much work, there are several fine-grained controls available. For instance, there is a Fill feature that lets you fill any blank spaces in the image with an element of your choice. Similarly, there’s the Remove feature, which lets you remove any element you do not want in the final result.
What we liked the most is its Select feature, where you can select a particular element in an image or video and then type a prompt to edit only that selected portion. This helps avoid unwanted changes in other parts of the image or video and ensures that the edit is applied only to the section you selected.
(Image credit: Future)
The generation interface itself is pretty simple. You’ll see a prompt box at the bottom of your screen, along with a panel on the left-hand side where you can control the generation settings.
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For instance, you can select the model you want to use, the resolution, the aspect ratio (16:9 or 9:16), and the duration of the video. There is also an advanced setting where you can enter a random seed value to experiment with the AI engine settings.
What we found particularly eye-catching is the prompt enhancement feature, which lets you improve your prompts before generating an image or video. This helps you create more detailed prompts, which in turn result in more accurate outputs.
Adobe Firefly: How we tested
We tried the free version of Adobe Firefly over several days and were quite impressed with the results. We first tried to create an AI image with the following prompt:
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“A tired line cook in a stained white apron, frowning with exhaustion, wiping sweat off his forehead while chopping six carrots on a wooden cutting board. Behind him, a dim, cluttered restaurant kitchen with steam rising from a pot. Photorealistic, dramatic low lighting, shot on 35mm film.”
As soon as we hit Generate, Firefly got to work and produced a pretty impressive image that closely matched our prompt.
(Image credit: Future)
However, it’s worth noting that Firefly is a tad slower compared to the likes of Fliki or Kapwing. That said, the accuracy of the results is worth the wait.
Once the image was generated, we clicked on it to open the editing panel and played around with the settings. For instance, we selected the burning steel pot behind the cook and prompted Firefly to change it to a wooden pot instead.
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Rather than simply making the change, Adobe gave us an Edit Strength slider, allowing us to control how strongly the wooden effect was applied to the pot.
(Image credit: Future)
We then tried the Remove feature by selecting a bunch of carrots and asking Firefly to remove them. Adobe once again impressed us, as it accurately removed the carrots without distorting the chopping board around them.
(Image credit: Future)
Lastly, we used the Upscale feature to improve the quality of the image. This took the longest, more time than it took to generate the image in the first place. However, we were once again very satisfied with the final result.
We also generated an AI video using the following prompt:
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“A woman in a red coat walks across a rain-soaked city street at night, neon signs reflecting in the puddles, camera slowly tracking alongside her.”
(Image credit: Future)
The results were again highly accurate, the colors were vibrant, and we were impressed by how closely Firefly followed the prompt without significantly diverging from the intended output.
Adobe Firefly: Alternatives
Although Adobe Firefly is a much-improved product, it does have a few shortcomings, which is why you may want to consider some alternatives. For instance, Adobe isn’t the best choice if you want to generate AI avatars. Although it offers the feature in a limited capacity, the results are not what you’d expect from a dedicated AI avatar generation tool.
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In that case, you can try Kapwing, which offers one of the most extensive collections of AI avatars. You can choose from a wide range of characters, including traditional human-inspired faces and more outlandish options such as aliens, Cupid, demons, cyborgs, Dracula, and more.
Kapwing produces some of the best photorealistic AI avatars we have seen in the industry. It is also one of the few tools that can render videos in 4K quality. That said, it is a bit on the expensive side, with plans starting at $16 per month.
If you need a dedicated AI assistant to help with content generation and editing, you can try Fliki, which offers an AI Copilot that understands natural language inputs and helps you achieve your desired results more effortlessly. It also includes licensed YouTube music and advanced video generation options such as stop-motion videos.
Fliki also offers a wider range of customization options compared to Adobe Firefly, such as choosing the format and template, customizing the type of character, selecting the AI model you want to use, and adding voiceovers, captions, and AI avatars.
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Adobe Firefly: Final verdict
Adobe Firefly is one of the best-known names in the content creation industry, and its recent improvements put it right at the top of our list of the best AI video editors. Firefly offers more than 10 AI models for image, video, and audio generation, helping you create photorealistic images, videos, and audio with simple prompts.
We were particularly impressed by Firefly Boards, which helps you brainstorm ideas on an endless online canvas in real time while collaborating with your content team. Firefly has also improved its editing interface and tools and now supports follow-up prompt editing, along with features like Generative Fill and Generative Remove.
That said, it has a few drawbacks, such as the lack of mature video editing tools, which are still in beta, and rather limited AI avatar generation capabilities. That said, if you already use Adobe tools like Illustrator or Photoshop, adding Firefly to your repertoire is a no-brainer.
Single datacenter and just three services taken down by ‘upstream’ power problem, while the rest of a zone and region kept humming
Google Cloud last week experienced an outage that analysts say demonstrates that not all promises of cloudy resilience are created equal.
Google’s incident report explained that three services – the VMware Engine (GCVE), NetApp Volumes, and Bare Metal Solutions (BMS) – experienced a 15-hour outage due to a cooling failure in its europe-west4-a zone.
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The report includes the following detail: “The datacenter serving europe-west4-a for GCVE, BMS, and NetApp has experienced a power failure, which subsequently caused a cooling failure.”
The important detail there is that Google uses a discrete datacenter for those three services.
Another notable element of the incident report is the admission that “An electrical fault occurred on the utility grid upstream of the datacenter, disrupting the electrical distribution gear and cooling equipment.”
Google hasn’t explained how an upstream failure caused that disruption but did say it “proactively turned down workloads in order to protect customer data from any risks posed by running infrastructure in a high temperature environment.”
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Whenever your correspondent talks to hyperscalers or datacenter operators about how they ensure resilience, they tell me about their use of multiple redundant pieces of energy infrastructure, plus on-site generation capabilities that can keep a datacenter powered for days if necessary.
We’ve asked Google if it had generators or other energy sources at this site, and if so, why it nonetheless had to turn down workloads. We’ve not received a response at the time of writing. Google told us its incident analysis “is currently ongoing” and promised to follow up once it is available.
Hidden dependencies
We also asked Google if it advertises the fact that some of its services are tied to a single datacenter, a matter of interest because like other hyperscalers it divides its cloud into “regions” that typically comprise multiple “zones” spread across a city or other locale. Like its hyperscale peers, Google recommends placing workloads across different zones and regions to ensure resilience. Yet this incident shows some services can be tied to a single datacenter in a zone – and that those single datacenters can experience problems while the rest of the zone keeps working.
Analysts told The Register the outage shows organizations need to dig into clouds’ promises of resilience.
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“The real issue is transparency: customers are generally told to use multiple zones and regions for resilience but are rarely given visibility into whether a particular managed service has a single-datacenter dependency within a zone,” said Biswajeet Mahapatra, principal analyst at Forrester. “As a result, many organizations assume the cloud abstraction provides more facility-level redundancy than may actually exist for specialized services.”
“The underlying architecture is not necessarily unusual,” he added. “AWS, Azure, and Google all operate services that rely on dedicated hardware, storage platforms, or tightly coupled infrastructure that may not be distributed across multiple facilities in the same way as core compute and storage services.”
Gartner Director Analyst Adrian Wong reminded The Register of the 2023 outage at Google Cloud’s europe-west9-a region, the cause of which was a water leak that Google said “originated in a non-Google portion of the facility.”
Google uses a tool called “Spanner” to replicate data across zones, but in the flooded zone Google’s Spanner configuration didn’t work once one building became unavailable.
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“It is very hard to figure out how an individual region is architected,” Wong said. “Our customers are often surprised by that,” he added.
The incident report for last week’s outage includes an apology.
“We know how much you rely on Google Cloud, and we regret the impact on your productivity,” the document states, before promising a final incident report will detail “preventative actions.”
But as this incident shows, knowing how Google plans to avoid future incidents of this sort won’t arm customers with the knowledge to understand if those mitigations will address hidden design issues that can reduce resilience. ®
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