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What Type Of Fuel Did WWII Warships Use?

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When people study World War II and the overall conflict, it’s not uncommon to focus one’s attention on tanks, airplanes, and massive ships like the Essex-class aircraft carriers used by the United States Navy. It’s easy to focus on these impressive pieces of military machinery and the people who operated them, but there’s one aspect of that historical conflict that’s rarely discussed: fuel. They say an army marches on its stomach, which remains true of the people doing the fighting, but when it comes to moving massive warships, you need fuel.

Modern warships primarily use three fuel sources: gasoline, diesel, and nuclear power. Yet one of those technologies wouldn’t arrive until the world’s first nuclear submarine, the USS Nautilus (SSN-571), entered the fleet in 1954. A decade earlier, WWII warships used a variety of fuels to move across the water, depending on a ship’s age and who operated it. There were four main fuel types that WWII warships used, including diesel fuel, gasoline, fuel oil, and coal.

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Coal was mostly gone by the time the war ended, but some of the older ships used in the conflict continued to feature coal furnaces. The U.S. Navy used two of the weirdest ships in the fleet during the conflict: two converted paddle-wheel steamers to train personnel, and both used coal. Most vessels used diesel or heavy fuel oil, while smaller vessels like PT boats used 100-octane aviation gasoline. German U-boats, which caused widespread disruption throughout the Atlantic Ocean, used diesel fuel, as did American subs, so there was a variety of fuel types utilized throughout the conflict.

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The many fuels of WWII warships

Most of the ships that used coal in the early 20th century had either been decommissioned or converted by the time WWII rolled around. The last U.S. Navy battleship fueled by coal was the USS Texas (BB-35), but it was converted to oil-fired boilers in 1925. After coal was largely abandoned for fuel oil, battleships like the USS Iowa (BB-61) had much better fuel efficiency, allowing for larger, faster vessels. The USS Iowa carried 2.5 million gallons of fuel oil to power the mighty warship, and the same fuel kept aircraft carriers in operation.

Essex-class carriers carried 1.5 million gallons of fuel oil, not to mention the 240,000 gallons of aviation fuel needed for their air wing. German U-boats, as well as Allied submarines, used diesel fuel while on the surface for propulsion, which also charged their batteries. While submerged, submarines used their batteries to power electric motors, as their diesel engines needed air to function. Regarding fuel oil, it was the most common energy source for WWII warships on all sides, as most surface vessels used it by 1939.

This included destroyers, frigates, cruisers, corvettes, and more. The world’s navies used different forms of fuel oil for various ships, all of which were distilled from crude oil. Regardless of the type, fuel oil was used to power ships via their steam boilers, and the U.S. Navy didn’t switch from Naval Special Fuel Oil (NSFO) until it adopted the NATO standard F-75/76 in 1969, so NSFO was its primary fuel source throughout WWII.

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Just How Big is the AI Buildout – and How Risky?

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A new Brookings Institution study notes the “strikingly physical” economic footprint of AI’s buildout, from specialized chips and electricity to purpose-built data centers. (Two-thirds of a data center’s costs are IT equipment, with one-third going to real estate and its associated power infrastructure.) “At an average of 3.63 percent of GDP per year, the projected buildout would be larger relative to the economy than the major U.S. canal, railroad, electrification, highway, and telecommunications investment booms.”

This is pushing up prices for workers, electricity, and even commercial real estate (as well as consumer products that use chips), notes the Wall Street Journal, and reducing the construction on new houses and apartment buildings. And in addition, the paper points out, projections for this buildout “would double the electricity consumption of the entire U.S. residential sector.”

The calculations come from Columbia Business School finance/real estate professor Stijn van Nieuwerburgh — and Reuters explains their significance:

Just as the rail and telecoms expansions led to notable bubbles and busts, Van Nieuwerburgh wrote that the extent of the buildout, the still-untested revenue streams, and the intricate financing structure emerging around AI mean it could be primed for a fall. “This is freaking complicated,” he said in a briefing with reporters of the arrangements emerging between AI firms, major tech hyperscalers, banks, private credit lenders, real estate firms, and a host of other players involved in building what he conservatively estimated at 183 gigawatts worth of new data-center capacity over the next seven years, compared with about 57 gigawatts currently installed…. The investment underway already has outstripped what the major players can fund from their own cash flows. The shift to outside financing has increased leverage, redistributed risks across the economy, and made the venture dependent on revenue streams that have yet to be proven, Van Nieuwerburgh noted in the paper, which will be presented on Friday…

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“These developments do not imply that financial distress is imminent. Strong growth in AI applications, high utilization, and continued improvements in model capability could support the projected infrastructure and generate stable cash flows,” he wrote. “But the combination of uncertain demand, rapid technological change, execution bottlenecks, and high leverage creates meaningful downside risk if expectations are revised.” As an example, he wrote that the AI industry will need to be earning about $3.7 trillion in annual revenue by 2032 to achieve the expected return on the investment, and “given current estimates of annual combined revenues of OpenAI and Anthropic of around $100 billion, revenues would need to grow at roughly 80% per year.”

The paper suggests policies that “improve measurement and transparency” for financing.

Read more of this story at Slashdot.

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Going On A Tangent With The Intel 8087’s Hybrid CORDIC Algorithm

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Continuing their reverse-engineering of Intel’s 8087 FPU, [Ken Shirriff] and friends took a look at one of the trigonometric functions, specifically FPTAN.  The most exciting part with such reverse-engineering is probably figuring out which algorithm was used in the implementation, while trying to determine the reasoning behind the final hardware design.

If you’re running a simple MCU or MPU like the 6502 or Z80 without hardware functions you’d likely use an algorithm such as CORDIC or similar, as this requires only basic hardware features like addition, subtraction, bitshift, and look-up tables. One can also use polynomial approximation if there’s hardware support for a potential speed-up, or as is the case in the 8087, create a hybrid approach that targets speed and accuracy.

In the article the exact implementation to get to 64 bits of accuracy is detailed, starting with the 16 bits calculated using CORDIC before switching to the Padé approximant technique involving the ratio of two polynomials. Since after calculating the brunt of the final value with CORDIC the remainder is a fairly small value this polynomial approximation not just very accurate but also fast.

This approach allows the FPTAN and similar trigonometric functions in this FPU to hit a very high level of accuracy and not require the look-up table sizes and additional time required to work through the remaining bits with CORDIC. For those who want to see the full algorithm Intel’s engineers used, [Ken] has the full microcode listing with comments in the article as well.

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As for the exact speed-up from this approach, [Ken] calculates for one value that FPTAN would spend 33% on CORDIC pseudo-division, 47% on CORDIC pseudo-multiplication and a mere 15% on the polynomial approximation along with about 5% overhead.

With the Pentium series of CPUs Intel moved completely away from CORDIC, as it’s clear that as accurate as it may be, it’s hard to scale to a significant number of bits without incurring significant time penalties. With the introduction of SIMD instructions the x87 ISA has further seen its functionality reduced, but this analysis shows once again why the 8087 made such an impact when it was released.

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NYT Connections hints and answers for Monday, September 28 (game #1205)

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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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America’s nuclear comeback just reached a milestone that could change where the country’s reactor fuel comes from

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  • X-energy has completed the main structure of its Tennessee fuel plant called TX-1
  • The facility could eventually produce 700,000 TRISO fuel pebbles annually
  • TX-1 will be America’s first new commercial-scale advanced fuel facility in decades

X-energy has completed the main structure of TX-1, a nuclear fuel manufacturing facility located in Oak Ridge, Tennessee.

The 214,000-square-foot plant, developed by subsidiary TRISO-X, represents the first commercial-scale advanced nuclear fuel facility built domestically in over 50 years.

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2 Of The Worst V12 Engines Ever Made (And 2 Of The Best)

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111 years ago, American automaker Packard unveiled a new model called the Twin Six. At the time, they were in a heated back-and-forth battle with Cadillac, each marque vying for the number-one spot as America’s premier luxury automaker. Cadillac was riding the high of its first V8, but with the Twin Six, Packard introduced the world to the first production V12. 

Since its inception with Packard, the V12 has been lauded as the ultimate form of the combustion engine. Huge power output can be extracted from its high cylinder count; its firing order is inherently balanced, resulting in smooth power delivery and stability in the engine bay; and it’s known for its vocal cords, too. In short, the V12 is perfectly suited to both performance and luxury applications. This grants the V12 a prestige and reputation that is unmatched by any other engine—they’re only found in the world’s finest cars.

The V12 is the statement piece of any automaker’s portfolio, so when you build one, it better be good. Because the V12 holds so much gravity, no holds are barred during its development, and usually, the result is something spectacular. The silky smoothness of a Rolls-Royce V12, or the rabid screams of a Lamborghini V12, are equally distinct, yet successful takes on the engine layout that both perfectly embody their brands’ ethos. However, not every instance is a success story. Here are two of the worst V12 engines ever made, and two of the best.

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Worst: Jaguar 5.3L V12

Today, the Jaguar E-Type is regarded as one of the world’s finest sports cars. Even during its production, the world and Jaguar knew that the E-Type was something special, so when it came time to make a replacement, Jaguar knew they had a near-insurmountable task on their hands. That replacement came in the form of the Jaguar XJ-S, a stately coupe with modernized looks, a relatively cheap price tag, and a 5.3-liter V12. At first, this seemed like a perfectly acceptable successor. A 285 horsepower V12 with a Jaguar badge for just $19,200 felt like a steal, but the truth soon reared its ugly head.

The XJ-S’s V12 was obscenely complex, especially the electronics. One particular problem area was the Marelli ignition system, which functioned as two separate six-cylinder ignitor layouts rather than a holistic 12-cylinder version. The issue was that one half could shut down, leaving unlit fuel in the banks that the working half could ignite at any moment, leading to engine fires. U.S. spec models also had the catalytic converters mounted too close to the exhaust manifolds, which could lead to engine fires.

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Beyond the fire problems, a Road & Track owner’s survey also reported issues with the brakes, alternator, cooling system, fuel pumps, instruments, and more. These engines required constant, expensive maintenance to prevent catastrophic damage, making this V12 a stain on Jaguar’s legacy and adding to their reputation for poor reliability.

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Worst: Lincoln Zephyr V12

Despite entering the market at the tail end of the Great Depression, Lincoln decided to introduce its new V12-powered car, the Zephyr, in 1936. Regardless of the V12’s status as a range-topping engine, the Zephyr was meant to help Lincoln expand their market and move away from the low-volume, coachbuilding model it had followed up until this point. From the outside, the Zephyr is a wonderful thing to look at. Although the looks were polarizing at the time, its streamlined lines and teardrop proportions gave it an undeniable Art Deco panache.

Under the hood, though, the engine couldn’t match the exterior’s confidence. The Zephyr’s V12 had many similarities to Ford’s flathead V8, including its L-head valvetrain layout and twin-water-pump cooling system, but it failed to match Ford’s reliability. Almost all of the issues were caused by, or stemmed from, overheating. Thin cylinder walls that poorly withheld combustion heat, along with an underpowered crankcase ventilation system, made these engines run extremely hot. The water-cooling pathways were too small, further exacerbating heat buildup, which cooked the engine oil into sludge that could damage the engine and sap power. Even in a well-functioning example, the small bore and displacement meant these engines produced only 110 horsepower, which, even for the day, was underwhelming for a V12.

The car was a perfect example of 20th-century American elegance, but its underwhelming, problematic engine held it back, and it faded into obscurity as one of the forgotten cars of the 1930s.

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Best: Ferrari F140

The V12 engine is steeped in the very essence of the Ferrari brand. Since the beginning of the prancing horse, the V12 has been the continuous masterpiece of Maranello, constantly evolving and improving. Each iteration improves upon the last, so it’s no surprise that its most recent version is the best the world has ever seen. Developed in 2002 for Ferrari’s fourth ultimate supercar, the Enzo, the 6-liter V12 was dubbed F140. The engine was pure Formula One, utilizing a 65-degree bank angle that allowed for a larger bore, more space for the intake manifolds, and a shorter engine height, resulting in a lower center of gravity and a compact package. In the Enzo, this naturally aspirated V12 produced 651 horsepower and an operatic shriek.

The F140’s involvement in the Enzo project alone makes it legendary, but that’s just the beginning. Ferrari upped displacement to 6.3 liters, and tossed the F140 in the F12. Later, in the Enzo’s successor, they bumped the power up to 800 horsepower and added an electric motor and a KERS system, introducing the LaFerrari as the brand’s first hybrid. Then, Ferrari updated the engine again for the 812, increasing displacement to 6.5 liters and boosting power to 819 horsepower. This most recent version powers all 812 variants, the Daytona SP3 and other Icona series cars, and the Purosangue, Ferrari’s first SUV. The F140 is the mascot of Italian, high-performance V12s, and it’s been blessing the hearts and ears of Ferrari fans since 2002.

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Best: Mercedes M120

The M120 was developed with similar vigor as the F140, but its goal was different from the beginning. In the late 1980s, Mercedes was due for a new S-Class. An S-Class has to be solid and silky, and that includes the engine; it has to be solid and effortless. This quest for a smooth and stable powerplant gave rise to the M120 V12, and Mercedes brought out all the stops in its development. The engineers wanted power but opted for a naturally aspirated configuration over forced induction, as they felt the linear power delivery of an NA engine was better suited to the S-Class’s task.

Mercedes wanted nothing to come in the way of the M120’s longevity, and meticulously engineered and tested each component until they could comfortably withstand more stress than would ever be placed on them in regular use. Its cooling and oil circulatory systems were simple and robust, as was the rest of the engine. Its 390 horsepower was doled out smoothly and predictably, with torque available across the rev range. In the S-Class, the M120 was like a Navy SEAL playing paintball. It was so capable that you never had to worry about it, and its performance potential was quickly realized, too. Mercedes used an AMG-tuned version of the M120 in the fabled CLK-GTR, as did Pagani in the Zonda. The M120 was solid as a bank vault door, and it conquered both the luxury and performance arenas of V12 greatness.

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Methodology

The V12 engine family is known for excelling as a powerplant for both luxury and performance cars. In luxury applications, their inherent balance between cylinder banks and firing orders lends itself well to smooth running and stability in the engine bay even at high revs. Their high cylinder count means combustion overlaps almost constantly, making the powerband linear and acceleration predictable and easy to control.

As for performance applications, this linear powerband is also beneficial, eliminating power jumps or drops that could disrupt a driver’s instincts. Their high cylinder count and displacement mean their horsepower ceiling is very high as well, without the need for forced induction. 

Engines on this list were chosen based on their adherence or lack thereof to these characteristics. Engines that exemplify the benefits and exceed the expectations of a V12’s capabilities were chosen as the best, while engines that fell short of said capabilities and expectations were chosen as the worst. Beyond V12-specific criteria, engines were also ranked based on general metrics like reliability and maintenance needs.

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Apple finally brought custom EQ to AirPods. It isn’t perfect, but makes a world of difference.

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I just adjusted the frequency response to my favorite Kazakh Hip-Hop track, and my AirPods Pro obliged, blasting soul-pleasing bass beats in my ear canals. In hindsight, I think this is how “Go” by Hatiko Ali was always meant to be listened to. Wading into an entirely different world, I slightly raised the mids and found myself lost in the melodious voice of Shafqat Amanat Ali. 

Just over a week ago, that wouldn’t have been possible. But thanks to iOS 27, and the latest AirPods firmware, Apple has finally added a custom tri-band EQ to give users a flexibility that they’ve been asking for years. It’s not as fleshed out as what you get with the likes of Sony, but the difference is easily noticeable, and utterly satisfying. 

So, what’s the big deal?

It won’t be an overstatement to say that Apple put true wireless earbuds into the mainstream. It’s next to impossible to walk in a buzzy place, a workspace, or even on public transport, and not see a few skulls rocking the distinctly white earbuds sold by Apple. And for good reason. They pair seamlessly, offer a bunch of cool features such as Find My tracking, and deliver fantastic noise isolation. 

Of course, they sound pretty good. Apple, however, has also been pretty stubborn in the sound department, preventing audiophiles from customizing how the AirPods sound. For years, Apple has maintained that the AirPods have been tuned by experts and that they sound just fine out of the box. Apple never served a custom EQ (aka equalizer) for its earbuds, something nearly every other major audio brand offers. 

With the release of iOS 27, Apple has finally made a course correction. So far, you could only pick between three presets in the name of customization: Balanced Tone, Vocal Range, and Brightness. Annoyingly, these settings were buried under Headphone Accommodations. That’s not a name where I would ever go looking to tweak the audio profile of my AirPods. And yeah, it wasn’t enough. 

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Does it make a difference though? 

Absolutely. 

Look, I won’t mince words here. Everyone has a different taste in music, and even when it comes to the same band — or even a track — what you like in a particular song is going to be different from the next person. Likewise, given the flexibility, you might occasionally want to enhance a certain element of a track, like the vocals raised and the background instruments suppressed, in a song. 

I know. I know. Music purists are going to balk at the idea. They would say you should listen to a song the way it was intended to be listened to. Or, to put it more accurately, listen to it the way a music artist is serving it. Simply put, just enjoy it in its pristine state. I disagree with that notion. You should listen to a song in the unique flavor that pleases your senses. There’s a reason lo-fi and slowed-reverb tracks are all the rage. Apple’s tri-band EQ finally gives you that freedom. 

While listening to Nine Inch Nails’ “As Alive As You Need Me To Be” from the “Tron: Ares” soundtrack, I always felt it was a tad chaotic. I wanted to hear the rock ferocity of Reznor’s voice on this track, without it being suppressed by the background instruments. Well, on the EQ page, I pulled down the high-band while raising the mid and low band output. That changed the entire song’s vibe. 

The distinct mechanical grit in Reznor’s voice became more obvious, with all its visceral aggression and layered vocal texture — all against a more pronounced bass chorus. Moving over to “A Drowning” by How to Destroy Angels, an inverted V-shaped EQ graph (bring down the low and high bands, enhance the mids) is the best way to enjoy Mariqueen Maandig’s vocals in all their controlled elegance and chilling precision against the dark backdrop. 

But how? 

Well, as mentioned above, make sure your iPhone is running the latest iOS 27 build, and you have the updated firmware installed on any of the AirPods models listed below: 

Next, pair the AirPods to your iPhone and follow this path: 

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Settings > (Name of your AirPods) > Audio & Routing > Equalizer > Custom.

Thankfully, the EQ changes you make on your iPhone will also reflect when the AirPods are connected to your iPad or Mac. “Custom EQ settings are stored on your AirPods and carry over to any other paired devices,” explains Apple. 

As mentioned above, you don’t necessarily have to go down the path. The AirPods (especially the Pro and Max) are tuned pretty well, and if you just want to enjoy music without losing brain cells over mids, lows, and highs, stick with the pre-applied “Recommended” profile. But if you ever wondered what a track would sound like if certain melodious or instrumental elements were adjusted, head over to the EQ page and play around. Trust me, it’s a rewarding exercise.

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This Mass-Market Car Won The JD Power Award For Driver Assist Technology

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In JD Power’s 2026 U.S. Tech Experience Index (TXI) Study, the company took a closer look at the smart technology in new vehicles — the technology that “makes everyday driving easier without demanding the driver’s attention”, like a big infotainment screen. When it comes to smart technology innovation, Hyundai has ranked the highest for mass-market car brands seven years in a row — and the tied runner-ups, GMC and Kia, are not very close. Its three-row mid-size SUV, the Palisade, received JD Power’s mass-market Advanced Technology Award in the Driver Assist category specifically for its blind-spot camera. 

Most vehicles have blind-spot monitoring these days, but the Palisade displays a live camera feed of your blind spots right in the vehicle’s digital instrument cluster every time you use a turn signal. The Blind-Spot View Monitor (BVM) has a camera feed for both the left and right turn signals. Once the turn signal is shut off, the images will disappear from the display.

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Depending on the trim, the Hyundai Palisade also comes with the automaker’s SmartSense, its safety-focused technology suite. This includes Highway Driving Assist, which keeps you at a safe distance and speed from other vehicles on the highway. Lane Keeping Assist can guide you along your chosen lane. It also has Forward Collision-Avoidance Assist 2, which applies the brakes after warning you of a potential collision with another car or pedestrian. Similarly, Blind Spot Collision-Avoidance Assist will warn you of possible dangers while merging lanes, and Reverse Parking Collision-Avoidance Assist ensures that everything is clear while you back into a parking spot.

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What are the key findings of JD Power’s 2026 TXI study?

When it comes to technology, JD Power’s 2026 U.S. TXI Study revealed that drivers prefer smart technology features to passenger screens and more complex features, like hands-free driving. When it comes to the passenger screen, 35% of surveyed drivers have never used it, with most saying it’s one of the more problematic features in vehicles with an abundance of screens and technology. There’s a reason automakers are starting to back away from screen-focused cabins.

Level 2 driving assistance programs, which still require drivers to pay attention to the road, are preferred to Level 2+ systems, which let you take your hands off the wheel. According to Doron Hikry, JD Power’s Director of Customer Success, this could be due to drivers being less comfortable with more automation (which can also be seen with self-driving robotaxis). 

Instead, the study found that drivers prefer smart tech that stays in the background, providing more comfort and fewer problems. One of the highest-ranked smart tech features was smart ignition, which turns the car on and off without a key in the ignition. “The technology customers value most is often the technology they barely notice because it simply works,” said Hikry.

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Anthropic turns Claude into an AI marketplace with 2,000+ plugins and connectors

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Claude

Anthropic has just announced a new Claude Marketplace, and it brings all AI-related tools into one place, including plugins, connectors, agents, and more.

Claude’s marketplace is already public, and Anthropic says it’s already offering more than 2,000 connectors and plugins.

Claude marketplace

These plugins or connectors are available from companies like Atlassian, Google, Microsoft, Notion, Salesforce, and others, so it’s not just Anthropic filling up the marketplace.

Anthropic is also allowing companies to buy Claude-powered agents and products from partners such as CrowdStrike, Cursor, Harvey, Legora, Lovable, and Snowflake.

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In a blog post, Anthropic noted that Claude Marketplace also includes consulting and systems integration partners.

This includes Accenture, Boston Consulting Group, and Deloitte, for companies that want help deploying Claude across their organization.

Claude has always allowed users to connect more of the apps they already use, but having a marketplace similar to the Play Store allows you to go beyond basic integrations.

Anthropic also wants developers to build for Claude

Having Microsoft or Google’s support alone may not be enough for the marketplace to succeed, and we have seen similar problems when OpenAI launched an apps marketplace. It didn’t work out, and Anthropic wants to avoid that mistake by allowing anybody to publish their products.

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If you’re a developer, you can create connectors and plugins using Model Context Protocol (MCP) and Agent Skills, while companies selling Claude-powered software can apply to have their products listed.

Anthropic says the goal is to make it easier for teams to discover products that already work with Claude, while giving developers and partners a direct way to reach existing Claude customers.

In a way, Anthropic is building a Google Play Store for AI-related features, but only time will tell if it works out.

You can try Claude’s marketplace on Anthropic’s website.

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Join Mikko Hyppönen and security leaders from the NFL, CHANEL, and Atlassian for a two-hour digital summit on what AI-speed attacks change, what defenders should stop doing, and how to validate, decide, fix, and re-validate at machine speed.

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OpenAI is preparing “o,” an always-on ChatGPT assistant that could handle email

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OpenAI

OpenAI is testing a new always-on assistant called “o”, and references to the unannounced feature briefly appeared online.

OpenAI hasn’t confirmed or denied that it’s working on a new always-on assistant, but as some users spotted on X, “o, your always-on assistant” was briefly listed as one of the benefits of the $100 ChatGPT Pro plan.

GPT o assistant
References to new ‘o’ assistant

Source: Jake on X

This feature was listed alongside more Work and Codex usage, maximum memory, 100GB of file storage, and early access to new features.

Moreover, there’s a dynamic configuration with a reference to display_name: "o" alongside an email_suffix: "-o", and this seems to suggest that the assistant could eventually have some form of email capability or identity.

That makes sense for an “always-on” assistant, which could continue helping with your tasks when you’re not actively using ChatGPT, but we don’t yet know exactly what OpenAI has planned.

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OpenAI could reveal more at DevDay

OpenAI has already confirmed it’s hosting DevDay 2026 on September 29 in San Francisco, and it’s expected to announce a number of new features.

The event would give us a closer look at what its teams are building, along with technical sessions, demos, and new tools, so I wouldn’t be surprised if we hear more about “o” there.

There have also been references to an internal “Aeon” system around custom agents for ChatGPT workspaces, but “o” appears to be a separate consumer-facing experience.


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Save $900 on 16-Inch M5 Max MacBook Pro, Record Low Price

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The staggering $900 discount delivers the lowest price on record for the M5 Max MacBook Pro 16-inch.

Amazon has issued a steep price cut on Apple’s high-end 16-inch MacBook Pro with an M5 Max chip. This laptop in Apple’s silver finish has an 18-core CPU and 32-core GPU, along with 36GB of unified memory and a spacious 2TB SSD.

Save $900 on 16″ M5 Max MacBook Pro

Retailing for $4,399, the $900 discount brings the price down to $3,499, the lowest on record. To put the value of the deal in perspective, Amazon is charging $300 for the exact same spec in Space Black.

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Units are in stock and ready to ship at press time, with delivery as soon as tomorrow for Prime members depending on your delivery address.

You can find this deal and more in our 16-inch MacBook Pro Price Guide, with highlights across the range below.

16-inch MacBook Pro deals

  • 16″ MacBook Pro M5 Pro (18C CPU, 20C GPU, 24GB, 1TB, Standard Display): $2,814 ($185 off)
  • 16″ MacBook Pro M5 Pro (18C CPU, 20C GPU, 48GB, 1TB, Standard Display): $3,367 ($232 off)
  • 16″ MacBook Pro M5 Max (18C CPU, 32C GPU, 36GB, 2TB, Standard Display): $3,499 ($900 off)
  • 16″ MacBook Pro M5 Max (18C CPU, 40C GPU, 48GB, 2TB, Standard Display): $4,499 ($500 off)

14-inch MacBook Pro sale prices

  • 14″ MacBook Pro M5 (10C CPU, 10C GPU, 16GB, 1TB, Standard Display): $1,839 ($160 off)
  • 14″ MacBook Pro M5 Pro (15C CPU, 16C GPU, 24GB, 1TB, Standard Display): $2,351.99 ($148 off)
  • 14″ MacBook Pro M5 Pro (18C CPU, 20C GPU, 24GB, 2TB, Standard Display): $2,989 ($210 off)
  • 14″ MacBook Pro M5 Max (18C CPU, 32C GPU, 36GB, 2TB, Standard Display): $3,499 ($600 off)

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