Technology
You can finally record videos while playing music on the iPhone
iPhone users who’ve upgraded to iOS 18 now have the option to record videos while audio is playing, as MacRumors spotted. If you’ve got music playing through the iPhone’s speaker, it’s a quick and dirty way to add a soundtrack to a video instead of bringing a clip into an editor, but audio quality does take a hit.
Previously, in older versions of iOS, opening the iPhone’s camera app and switching to video mode would cause any audio playing to quickly fade out, even if it was playing through wireless headphones. With iOS 18, there’s a new camera setting to change that behavior.
To access it, open the iPhone’s settings, navigate to the Camera section, tap on Record Sound, and then turn on the “Allow Audio Playback” toggle. With that activated, audio will continue to play when you’re recording video in the camera app, and if the audio is playing through the speaker, it will be picked up by the iPhone’s microphone and recorded in mono along with the video. If the audio is playing through headphones, it won’t be recorded.
This functionality did exist in older versions of iOS with the camera app’s QuickTake feature, which allows videos to be captured in photo mode by holding down on the shutter button, but the resulting video is limited to a 1440P resolution, instead of the 4K offered through video mode.
Using a video editing app is still the best way to add music or narration to a clip, but this update will make it much easier to record videos with dance moves or lip movements that sync to a specific song.
The sun sets beyond crude oil storage tanks at the Juaymah tank farm at Saudi Aramco’s Ras Tanura oil refinery and oil terminal in Ras Tanura, Saudi Arabia, on Monday, Oct. 1, 2018.
Bloomberg | Bloomberg | Getty Images
Global benchmark Brent crude falling below $70 a barrel in early September — its lowest in 33 months — is terrific news for consumers, who will consequently see lower prices at the pump.
It’s also the stuff of nightmares for OPEC+, for whom oil revenues are critical.
The oil producer alliance led by Saudi Arabia earlier this month decided to delay oil production hikes for two additional months in an effort to shore up prices, but so far to no avail. Low global demand forecasts, coupled with new oil supply coming from non-OPEC countries, spell a long period of subdued crude prices.
It’s led some in the market to ask the question: Have we officially reached “peak oil”? Has demand growth hit its apex, and is it just downhill from here?
By the forecasts of OPEC itself, that’s a hard no.
The oil producer group’s 2024 World Oil Outlook report, released Tuesday, predicts strong energy demand growth of 24% globally between now and 2050. It also forecasts “robust medium-term growth” in oil demand reaching 112.3 million barrels per day in 2029, an increase of 10.1 million barrels per day compared to 2023.
A fair number of energy analysts appear to disagree with that calculation — not least those at the International Energy Agency. The Paris-based agency sees demand actually leveling off by the end of the decade to around 106 million barrels per day, according to its annual mid-term outlook published in June. The IEA still sees global oil demand rising; it just forecasts a smaller rise, and expects it to peak by the end of the decade.
The battle of the forecasts between OPEC and the IEA has gained publicity in recent years, with the latter organization pushing hard for a net-zero future.
S&P Global Commodity Insights, meanwhile, sees the medium-term future as somewhere in between, with demand reaching a peak of 109 million barrels per day in 2034 and gradually declining to fall below 100 million barrels per day in 2050.
OPEC, by contrast, sees demand hitting a whopping 120 million barrels per day by 2050.
All parties agree that demand will fall in the developing world, while rising in emerging markets led by India.
The medium-term outlook
As for the near-to-medium term outlook, analysts are bearish on oil demand and prices. This is despite the early September announcement by OPEC+ that the group would be extending its crude production cuts into December in an attempt to limit market supply.
“That two month extra time hasn’t convinced anybody who’s skeptical about the market that that’s going to do much to shore up prices,” Dave Ernsberger, head of market reporting at S&P Global Commodity Insights, told CNBC.
“So that’s the in-the-moment issue. But the much bigger issue is, existentially speaking, are we moving past the moment of peak oil demand?”
Ernsberger pointed to the growth of alternative energy forms, including the increasing use of biofuels in the maritime industry.
“What we’re moving into is an era of post-demand growth. It’s not a post-oil moment, but it’s a post-growth moment. And how does OPEC+, how does the market readjust to a world of low or no growth in demand overall?”
Price increase prospects are also dimmed by China, the world’s largest oil importer, which has put itself on a dedicated path to electrification.
“The biggest threats to higher prices for OPEC+ are external,” Li-Chen Sim, a non-resident scholar at the Washington-based Middle East Institute, told CNBC.
Those are chiefly “lackluster demand, especially from China, oil supply from non-OPEC+ sources, and internal; some members are producing more than assigned quotas.”
Estimates by international and Chinese sources show a slowing demand for oil and refined products in China, Sim said.
That is in part due to slowing Chinese economic growth of around 3% to 5% annually in recent years — still better than many other countries, she noted.
“But there’s also a structural element to the reduction in oil consumption, driven by a conscious effort to reduce its high dependence on oil (and gas) imports, and expressed in policies such as electric vehicle uptake and encouraging expansion of renewable and nuclear power,” Sim added.
In the near term, OPEC+ is still expected to bring some production back in December, several countries in the alliance are producing beyond their quotas, and more supply is coming onto the market from non-OPEC+ producers like the U.S., Guyana, Brazil, and Canada.
“It’s difficult to see prices moving much higher from here as long as that threat is out there in the market to bring those supplies back,” Ernsberger said.
In the much longer term, the eventual decline of the oil era – if it happens – will be brought on due to changing demand rather than dwindling supply, many analysts argue.
It was the late Saudi Sheikh Ahmed Zaki Yamani who said in 2000: “The Stone Age came to an end not for a lack of stones and the Oil Age will end, but not for a lack of oil.”
We’re only a few days away from being able to order the upcoming Samsung Galaxy S24 FE. This is the company’s next premium mid-range phone that will pretty much provide a flagship-level experience. Well, it looks like some Samsung employee wanted to get the fun started early. Samsung accidentally put the upcoming Galaxy S24 FE on pre-order early.
This might not be possible for long, as the company is likely to eventually take it down. Since we’re talking about the official Samsung site offering the pre-order, it confirms the specs that we’ve been hearing rumors about along with the price.
Samsung accidentally put the Galaxy S24 FE on pre-order
These things happen, and they sometimes ruin the surprise. However, it’s still interesting that Samsung would make such an oopsie. The pre-order went into effect on the U.S. Samsung site. On the site, we see the typical pre-ordering process with the option to bring the price down with a trade-in.
Speaking of the price, this leak confirmed that this phone will start at $650. This is for the base 128GB variant. Bumping the storage up to 256GB boosts the price up to $709.99. If you have the Galaxy S23 FE, you’ll be able to trade it in and knock the price down to $269.99 for the 128GB variant. If you have the 256GB variant, it will knock the price down to $309.99.
As for the specs, the page doesn’t dive deeply into the specs. The phone has a 6.7-inch display, which is fairly large. Also, there’s a 10MP main camera on the back. As for the processor, this phone will use the Samsung Exynos 2400e SoC.
AI, of course
We also can’t forget about Galaxy AI. This phone will come with, at least some of, the powerful AI tools in the Galaxy AI platform. These include text generation, image generation, translation tools, and more. We don’t know if it will be 1:1 with current Galaxy flagships on the market.
The Galaxy S24 FE will come in four colors: Blue, Graphite, Gray, and mint. These are pretty typical colors, but we’re missing the trademark Purple color that we got last year.
There will be some exclusive offers that you can capitalize on. These are 50% off of a pair of Galaxy Buds FE, 50% off of a pair of Galaxy Buds 3, and 50% off of a Galaxy Watch FE.
If you’re excited about this phone, then look out for its official launch in a couple of days. We’re not sure that if you order today, you’ll get your order early.
Grafana Labs on Tuesday unveiled a series of new features aimed at simplifying the oversight of data and IT processes, including Explore Apps that enable customers streamline exploration and an automated tool that targets cost reduction by identifying usage patterns.
In addition, the vendor introduced new capabilities that enable customers to monitor the performance of machine learning projects and the large language models used to train AI models and applications.
Collectively, the new features accomplish Grafana Labs’ goal of making its platform easier to use, according to Torsten Volk, an analyst at TechTarget’s Enterprise Strategy Group.
“These latest updates simplify the adoption of Grafana’s observability platform by a wider range of user roles,” he said. “Many of the new features and capabilities allow less experienced or simply less technical users to monitor and troubleshoot cloud native apps and multi-cloud environments within a business context.”
In addition, the new capabilities further Grafana Labs’ evolution from a vendor of data visualization software for time series data to a complete observability specialist, Volk continued.
“Their initial claim to fame was the flexibility of their dashboard interface and their ability to query and visualize data from basically any source,” he said. “This turns Grafana into a serious contender in the observability space.”
Based in New York City, Grafana Labs is an open source vendor.. Using its tools, customers can monitor metrics to track the performance of various data management and IT operations.
The vendor’s LGTM stack includes Loki for logs to keep track of metric performance, Grafana for dashboards to easily view metrics, Tempo to monitor applications for failures and Mimir to provide access to the open source Prometheus platform’s capabilities for overseeing microservices and containers.
To date, Grafana Labs has raised over $800 million in funding, including $270 million in August 2024 and $240 million in April 2022.
Competitors include Datadog, Dynatrace and Splunk.
OpenAI’s launch of ChatGPT nearly two years ago led to an explosion of enterprise interest in developing AI models and applications.
Generative AI has the potential to help businesses by enabling non-technical employees to work with data through true natural language processing as well as make technical experts more efficient by reducing repetitive tasks and automating previously manual processes. To benefit from generative AI, developers need to combine the capabilities of either public large language models (LLMs) such as ChatGPT and Google Gemini or internally developed smaller language models with their organization’s proprietary data. Developers can then train AI models and applications that understand their organization to respond to queries about its operations as well as take over tasks such as data discovery and data observability that were previously done by data engineers and other data experts.
In response, Grafana Labs developed a feature that enables customers to track the performance of LLMs, including latency and cost. The tool uses open source tools to observe LLMs and sends its findings to Grafana Cloud where they can be visualized using the vendor’s AI observability capabilities.
In addition, as enterprises develop more AI and machine learning tools, Grafana Labs worked with design partner Nvidia to develop a tool to observe machine learning experiments by tracking certain model metrics and developed GPU monitoring capabilities to help developers better understand their workloads.
Beyond new tools for monitoring AI-related processes, significant new features unveiled by Grafana Labs include Adaptive Logs and new root cause analysis capabilities resulting from the vendor’s November 2023 acquisition of Asserts.ai. Adaptive Logs are an automated tool now generally available that aims to lower observability costs by identifying log file patterns and creating customized recommendations so that users can retain important log file patterns and eliminate unnecessary ones.
“The cost of ingesting, processing, and storing telemetry data is one of the biggest pain points in observability today,” Volk said. “It is exciting to see Grafana attack this challenge head on by pruning telemetry data based on its predictive value.”
Meanwhile, using the technology inherited with its acquisition of Asserts.ai, Grafana Labs unveiled a set of AI and machine learning-based tools that automate anomaly detection within applications and infrastructure systems and provide troubleshooting recommendations.
“This … is a key capability that helps organizations lower operations cost by focusing on what really matters,” Volk said. “By filtering out noise and surfacing actionable insights, engineers can resolve incidents faster, reducing downtime and improving reliability.” While Volk highlighted Adaptive Logs and root cause analysis, Tom Wilkie, Grafana Labs’ chief technology officer, called out Explore Apps as an important addition to the Grafana Labs platform.
Explore Apps are prebuilt user interfaces that enable users to query data without having to know query languages such as PromQL, LogQL, or TraceQL.
With the collective goal of the new features being to simplify using Grafana Labs’ observability platform and to help new users quickly and easily get started with its use, Explore Apps directly address ease of use.
The first Explore Apps were Explore Metrics and Explore Logs. Now, Grafana Labs is adding Explore Traces and Explore Profiles, both of which are in public preview. “Our Explore Apps are designed to make data exploration and analysis more accessible and user-friendly, Wilkie said. ” These tools help junior [site reliability engineers] and developers perform at the same level as someone with decades of experience. I think it’s going to help a lot of teams resolve issues faster and overall become more efficient.”
Additional new Grafana Labs features — among others — include the following:
While the goal of many of the new features is to simplify querying and analyzing observability data, the impetus for developing them came from customer feedback in concert with Grafana Labs’ market observations, according to Wilkie.
One key observation has been a heightened emphasis on cost control. For example, Adaptive Logs is among the tools the vendor developed to help customers manage their IT spending.
“We know companies can’t simply get rid of their observability stack, so we’re making it more cost-effective for them without losing any functionality,” Wilkie said. Just as many of Grafana Labs’ new features center on making its platform easier to use, the vendor’s near-term roadmap is focused on further simplifying the platform to appeal to a broader audience of users, according to Wilkie.
After its founding in 2014, Grafana Labs focused on open source dashboarding that enabled users to visualize observability data from nearly 200 sources. Four years later, the vendor added Loki, Tempo and Mimir to its platform to offer more complete observability capabilities.
Now, Grafana Labs’ aim is adding features such infrastructure observability, reliability testing, incident response management and application observability.
“Now, we’re in Act III, focused on bringing our observability technologies to a mainstream audience,” Wilkie said. “That’s where you’ll continue to see a lot of innovation from us in the next six to 12 months.” Volk, meanwhile, suggested Grafana Labs add more role-based features to enable users such as developers, administrators and security experts to collaborate as they detect and address problems.
In addition, the vendor could add more machine learning capabilities to automate more of the observability process, he continued.
“Grafana needs to continue to double down on providing role-specific capabilities to proactively detect, optimize, and — eventually — automatically address issues,” Volk said. “The platform needs to … accumulate and retain the lessons learned from solving these issues as the basis for future automated issues resolution.”
Eric Avidon is a senior news writer for TechTarget Editorial and a journalist with more than 25 years of experience. He covers analytics and data management.New capabilities
Plans
On Tuesday, HP unveiled its first 2-in-1 AI PC, the OmniBook Ultra Flip 14-inch. The device has a 3K OLED display, a haptic touchpad and Intel’s 200V Core Ultra series processors with a dedicated AI engine. Starting in late November, the PC will get Microsoft’s Copilot+ capabilities as an update.
The OmniBook Ultra Flip 14-inch has a 2,880 x 1,800 touch-sensitive OLED display with a maximum 120Hz variable refresh rate. With a 90 percent screen-to-body ratio, the PC is only 0.59 inches (15mm) thick and weighs 2.97 lbs (1.35kg).
The OmniBook Ultra Flip 14-inch starts at 512GB of storage, with 1TB and 2TB options also available. 16GB of RAM is standard, but more expensive tiers will boost that to 32GB. The 2-in-1 is rated for up to 20 hours of battery life, and it can fast-charge to about 50 percent in 45 minutes using its bundled 65W USB-C adapter. Its Intel AI processor can be configured with anything from an Ultra 5 226V up to an Ultra 9 288V.
The device includes a 9MP camera with hardware-level low-light adjustments and Auto Switch HDR, which determines when HDR is needed (based on lighting conditions) and switches on the fly. Onboard AI features using the Intel chip’s NPU include hand gesture support for scrolling through documents or webpages, adjusting volume levels and controlling media playback. The PC can also automatically lock when you leave and wake when you return.
Once the Copilot+ update for Intel PCs is available, features like AI image generation and editing tools, live captions, Windows Studio effects, and Recall will be added.
The HP OmniBook Ultra Flip 14-inch is available today on HP’s website. It starts at $1,450.
Sony Electronics unveiled today two new Inzone monitors aimed at gamers, with a focus on everyone from casual players to esports pros.Read More
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