# macbook Published articles for macbook. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Everything you need to know about the new MacBook Pro's OLED display DevFeed: [Everything you need to know about the new MacBook Pro's OLED display]() Original publisher: [Read original article]() Author: Jonny Evans Published: 2026-11-06T10:10:00Z Content type: article Language: en Sources: [Computerworld]() Topics: [color](), [screen brightness](), [User interface design]() Tags: [apple](), [apple-computers-and-peripherals-mac-vendors-and-providers](), [colors](), [computers-and-peripherals](), [display](), [edition-us](), [film](), [fingerprint](), [glass](), [industry](), [interface](), [language-en](), [laptop](), [layer](), [layers](), [mac](), [macbook](), [macbook-pro](), [oled](), [oled-display](), [panel](), [performance](), [product](), [quality](), [reference](), [storytype-opinion](), [vendors-and-providers]() ### AI overview The MacBook Pro's PROLED XDR combines a thin, 50-layer tandem OLED panel with touch sensors built into the display. The excerpt reports brightness up to 2,000 nits, a 10,000,000:1 contrast ratio, adaptive 10-120Hz refresh, and pixel-level color and luminance control; nanotexture is etched into the cover glass. Touch is described as having zero latency, with a redesigned hinge to reduce wobble. macOS translates touch into clicks and enlarges menus automatically, so most apps need little or no adjustment; developers can use new gesture APIs for deeper support. The author reports touch features in Pixelmator Pro, Logic Pro, and Xcode, and says Apple's AI video stabilization helps reduce shake during calls. The author's comparison with other touch OLED laptops favors this display on peak brightness, shadow and highlight detail, off-angle color shift, and screen stability, though the excerpt provides no measurement method. ### Source excerpt Apple's recently introduced MacBook Pro with PROLED XDR introduces a tandem OLED display and, for the first time, a touch interface. I discussed the approach Apple took to designing its new pro laptop with Apple's Vice President of Mac and iPad Product Marketing, Tom Boger, which you can read here. What follows is a little more information on some of the product features people are asking about, along with my first impressions of interacting with the display. How the panel is made The PROLED XDR display is made of 50 layers that total less than one millimeter. It's a single sheet of glass carrying more than 100 million thin film transistors, arranged in 15 layers under 10 microns thick. The tandem OLED layers sit on top of this: two stacks making up 30 layers, each between a few nanometers and a few hundred nanometers thick. Apple wanted to make the display as thin as possible, because a thin display delivers much better performance and the company wanted to optimize the OLED technology. Apple took great pains in building this; it even worked with its display supplier to simulate how OLED molecules evaporate onto the glass and to track each layer's thickness as it comes off the line. It was interesting to learn that the panels are made on giant sheets of "mother glass," with about eighty 14-inch panels per sheet. The final layers add mechanical, electrical and thermal benefits, with optical adhesive and a cover glass with anti-reflective and fingerprint-resistant coatings placed on top. One industry observer I spoke with remarked that these high-end display fabrication factories are massive, the size of football stadiums, with the most extreme needs for clean-room suits and high-tech protection. What this means for the display The up to 2,000 nits display delivers stunning clarity with a 10,000,000:1 contrast ratio. It supports P3, Adobe RGB, DICOM and more, and shows colors at reference quality, something once reserved for monitors costing around $30,000. (Anyone w ## "It Gives Great Demo" DevFeed: ["It Gives Great Demo"]() Original publisher: [Read original article]() Author: Jim Nielsen Published: 2026-11-04T19:00:00Z Content type: opinion Language: en Sources: [Jim Nielsen's Blog]() Topics: [User Experience](), [touchscreen](), [inclusive design]() Tags: [115-billion-stock-swap](), [amazing](), [attention](), [career](), [demo](), [doesn-t](), [jobs](), [macbook](), [multitouch](), [people](), [practical](), [product](), [technology](), [testing](), [touchscreen](), [user-testing](), [vertical](), [video]() ### AI overview Using Steve Jobs's explanation of why touchscreen MacBooks were not made, the excerpt contrasts an impressive demo with everyday usability: vertical touchscreens may look compelling, but extended use can cause arm fatigue, while touch surfaces are better suited to horizontal use. It generalizes this as a tension in technology: demos capture attention and help sell products, while products that work well can fade into the background. The same distinction, it argues, applies to people who excel at presentations. ### Source excerpt There's that famous video of Steve Jobs explaining why they don't didn't make touchscreen MacBooks: We thought about [a touch screen MacBook] years ago. We've done tons of user testing on this and it turns out it doesn't work! Touch surfaces don't want to be vertical. It gives great demo. But after a short period of time, you start to fatigue. And after an extended period of time, your arm wants to fall off. It doesn't work. It's ergonomically terrible. Touch surfaces want to be horizontal [...] that's why we've perfected our multitouch trackpads over the years. I'm not going to weigh in on the new MacBooks. But what I find specifically intriguing in this video -- and broadly relevant -- is that phrase: "It gives great demo." Damn, that is a great line for so much of technology. "It gives great demo." Something that looks amazing when it's presented to you, but in practical day-to-day use you discover, "Actually this is kinda terrible." Demo is everything nowadays. Whatever can garner attention. Who cares if it works in practice, does it give great demo? Because demo time is sale time. The purpose of a demo is to get your attention. To make you think about the product and that it exists. But a great product often makes you forget it exists at all. It seems like a paradox: we're attracted to what stands out, but we become enamored with what disappears. Of course, this doesn't just apply to products. People can give great demo, too. You can make a whole career out of just giving great demo. Reply via: Email - Mastodon - Bluesky ## Apple says it won't merge macOS and iPadOS, despite years of making them increasingly similar DevFeed: [Apple says it won't merge macOS and iPadOS, despite years of making them increasingly similar]() Original publisher: [Read original article]() Author: Daniel Sims Published: 2026-11-04T13:23:00Z Content type: news Language: en Sources: [TechSpot]() Topics: [macOS](), [ipad]() Tags: [2-in-1](), [2026](), [android](), [app-store](), [apple](), [apple-ceo-john-ternus](), [costs](), [google](), [input-devices](), [interfaces](), [ipad](), [ipados](), [ipados-26](), [iphone](), [keyboard](), [laptop](), [macbook](), [macos](), [merge](), [operating-system](), [operating-systems](), [software](), [tablet]() ### AI overview Apple CEO John Ternus said the company has no current plans to combine iPadOS and macOS, repeating its position that separate systems let iPads serve as tablets and MacBooks as laptops. Yet the products have grown closer: they share Apple silicon, iPadOS has gained Mac-like windowing and multitasking, and iPads can use a mouse and keyboard. The excerpt says Apple may have more to lose from a merger because iPad software remains distributed through its App Store, which generates revenue and keeps the company in control of mobile software distribution. It contrasts Apple's position with Microsoft's and Google's efforts to adapt operating systems across tablet and laptop use, while noting Apple's recent entry into product categories competitors had pursued earlier. These points suggest incentives and convergence, but the excerpt does not establish Apple's internal motives. ### Source excerpt Apple CEO John Ternus recently stated that the company still has no plans to combine iPadOS and macOS into a single operating system. The operating systems have grown increasingly similar in recent years, but keeping them separate likely helps fatten the company's profits. Read Entire Article ## M6 MacBook Pro vs M5 MacBook Air: What Does the Extra $900 Buy? DevFeed: [M6 MacBook Pro vs M5 MacBook Air: What Does the Extra $900 Buy?]() Original publisher: [Read original article]() Author: TechRepublic Staff Published: 2026-10-30T09:26:51Z Content type: comparison Language: en Sources: [TechRepublic]() Topics: [upgrade](), [On-device AI](), [screen brightness](), [color]() Tags: [ai](), [air](), [apple](), [apple-m5](), [apple-m6](), [apple-silicon](), [applications](), [business](), [business-laptops](), [buyers-guides](), [camera](), [color](), [compare](), [comparisons](), [compatibility](), [configuration](), [connectivity](), [costs](), [display](), [hardware](), [laptop-comparison](), [m6](), [macbook](), [macbook-air](), [macbook-pro](), [news](), [pcs-and-peripherals](), [performance](), [storage]() ### AI overview The 14-inch M6 MacBook Pro starts at $1,999, $900 above the 13-inch M5 MacBook Air. The premium buys a 12-core CPU and GPU versus the Air's 10-core CPU and 8-core base GPU, twice the starting storage, a brighter 1,600-nit peak HDR display with a higher refresh rate, and HDMI, SDXC, and a third Thunderbolt 4 port. Those features may suit HDR editors, camera-file workflows, and some demanding development or local AI tasks; the lighter, fanless Air is presented as sufficient for documents, web apps, and video calls. Both start with 16GB memory, upgrade to 32GB, support Wi-Fi 7, Bluetooth 6, and up to two external displays. Apple's stated M6 speed gains compare it with the previous base M5 Pro, not the M5 Air, so they do not establish the Pro's performance advantage over the Air. The article recommends configuration-matched testing for sustained workloads. ### Source excerpt The M6 MacBook Pro costs $900 more than the M5 MacBook Air. Compare the display, ports, storage, and performance claims before choosing. The post M6 MacBook Pro vs M5 MacBook Air: What Does the Extra $900 Buy? appeared first on TechRepublic. ## Apple brings touch to the Mac with $2,899 OLED MacBook Pro DevFeed: [Apple brings touch to the Mac with $2,899 OLED MacBook Pro]() Original publisher: [Read original article]() Author: Jonny Evans Published: 2026-10-29T12:39:20Z Content type: release Language: en Sources: [Computerworld]() Topics: [human computer interaction](), [User interface design](), [macOS](), [screen brightness](), [color]() Tags: [apple](), [apple-computers-and-peripherals-mac-macos](), [battery](), [battery-life](), [charging](), [chips](), [computers-and-peripherals](), [configuration](), [design](), [display](), [edition-us](), [educators](), [enterprises](), [fast-charging](), [handwriting](), [hdr](), [idc](), [interface](), [language-en](), [laptop](), [mac](), [macbook](), [macbook-pro](), [macos](), [oled](), [productivity](), [storytype-newsanalysis]() ### AI overview Apple's touch MacBook Pro adds touch controls to the existing macOS interface, alongside keyboard and trackpad use. The article says macOS 27 translates many on-screen actions for existing apps, while developer APIs will enable deeper touch support; Microsoft Office apps, Lightroom, DaVinci Resolve, Blender, and Cinema 4D are expected to gain it later this year. Apple cites creative work such as drawing and fine control as potential uses. The 14- and 16-inch models use M5 Pro or M5 Max chips and tandem OLED displays, with up to 128GB unified memory, 16TB storage, 2,000-nit peak brightness, and 10-120Hz refresh. Apple claims up to 24 hours of battery life, though the 14-inch model is rated at 22 hours and actual life varies by use and configuration. Prices start at $2,899; availability is stated as November 6. ### Source excerpt Following the release of the new 14-inch M6 MacBook Pro earlier this week, Apple has bought the "touch experience" to its professional laptop series, introducing a $2,899 (and up) MacBook Pro you can use with touch. It's very fast, very thin, very light, with an impressive PROLED XDR display and up to 24 hours battery life. A brief tour through the key specs Very fast: Available in 14- and 16-inch models, the new MacBook Pro uses Apple's powerful M5 Pro and M5 Max chips. They support up to 64GB of unified memory (128GB on M5 Max) and up to 16TB of storage. Apple says the M5 Max can run LLMs with hundreds of billions of parameters entirely on-device. Very thin: The 14-inch model is 0.59 inch (1.50 cm) thick, while the 16-inch is 0.63 inch (1.60 cm), so these are only a little thicker than a MacBook Air. Apple says the thinner design is a benefit of the move to an OLED display. Very light: The 14-inch weighs 3 pounds, half a pound less than the non-touch equivalent MacBook Pro. The 16-inch weighs 4 pounds, which is 0.7 pounds lighter. Industry-leading PROLED XDR display: A tandem OLED panel with up to 2,000 nits peak brightness (1,000 nits sustained brightness) for both HDR and SDR, and a 10,000,000:1 contrast ratio. Refresh rate is variable from 10Hz up to 120Hz. Up to 24 hours of battery life: Apple says this is the maximum and that battery life varies by use and configuration. It also varies by model -- the 14-inch yields "just" 22 hours battery life. Fast charging takes the battery to 50% in 30 minutes. Unpacking those numbers, it's crystal-clear Apple has not stinted on the performance of this pro Mac, with a price tag to match. IDC data shows that 66% of all touch notebooks are purchased by enterprises. This is a form factor bought for flexibility for field workers, educators, and professionals who move between typing, tapping, and handwriting. Touch on a Mac Which brings me to the "touch experience." Apple hasn't replaced the traditional Mac interface with touch ## Block Unveils Dessa, a Full-Duplex Speech Model Trained Only on Speech DevFeed: [Block Unveils Dessa, a Full-Duplex Speech Model Trained Only on Speech]() Original publisher: [Read original article]() Author: Michal Sutter Published: 2026-10-29T07:50:39Z Content type: article Language: en Sources: [MarkTechPost]() Topics: [Speech Processing](), [AI Models](), [Local AI](), [Inference](), [Large Language Model](), [asr]() Tags: [agents](), [ai](), [ai-research](), [api](), [architecture](), [artificial-intelligence](), [audio](), [audio-language-model](), [benchmark](), [benchmarks](), [blackwell](), [block](), [compute](), [cpus](), [dessa](), [editors-pick](), [full-duplex-speech-model](), [lab](), [language-model](), [macbook](), [macbook-pro](), [model](), [speech](), [speech-to-speech](), [staff](), [technology](), [voice-ai]() ### AI overview Block's research preview Dessa is a full-duplex speech-to-speech model trained only on human conversation audio, with no text or pretrained models, according to the lab. It listens while speaking and is shown in demos using backchannels, interruptions, laughter, and changes in volume. Block says it runs locally faster than real time on a MacBook Pro M4 Max or better and was trained on one NVIDIA GB200 NVL72 rack. The excerpt contrasts this with Moshi's text-model backbone, time-aligned text and audio tokens, and reported use of 1,016 H100 GPUs. Block has not published Dessa's architecture, benchmark scores, parameter count, weights, API, or price; access is described as waitlist-only. ### Source excerpt Block's AI lab released Dessa, a full-duplex speech-to-speech model trained only on human conversation audio. It runs locally on a MacBook Pro M4 Max, but Block has published no size, benchmarks or weights. The post Block Unveils Dessa, a Full-Duplex Speech Model Trained Only on Speech appeared first on MarkTechPost. ## Microsoft posts $92.3bn quarterly revenue after offering buyouts to 60,000 employees DevFeed: [Microsoft posts $92.3bn quarterly revenue after offering buyouts to 60,000 employees]() Original publisher: [Read original article]() Author: Agence France-Presse Published: 2026-10-28T22:44:58Z Content type: news Language: en Sources: [The Guardian | Technology]() Topics: [Microsoft](), [Azure](), [On-device AI]() Tags: [ai](), [apple](), [artificial-intelligence](), [azure](), [chips](), [cloud](), [cloud-computing](), [computing](), [earnings-report](), [employees](), [growth](), [hardware](), [laptop](), [macbook](), [microsoft](), [microsoft-technology-computing-us-news-world-news](), [nvidia](), [offline](), [on-device](), [regulatory](), [revenue](), [technology](), [us-news](), [voluntary-buyouts](), [world-news]() ### AI overview Microsoft reported quarterly revenue of $92.3bn and profit above $36.6bn, exceeding analyst expectations of about $90.6bn and $35.1bn. Azure grew 48% in the September quarter, and Microsoft's stock market value rose after the results. The report came two days after the company offered voluntary buyouts to about 60,000 employees, following another offer earlier this year, while it invests heavily in AI. The excerpt also notes Microsoft's new Surface Ultra laptop, powered by Nvidia AI chips and priced above $2,500, as part of a broader industry push toward devices that can run AI locally and offline. ### Source excerpt Software giant reports $36.6bn in profit, beating Wall Street expectations, as Azure cloud computing division grows 48% Microsoft gained billions of dollars in stock market value Wednesday afternoon after it reported better than expected revenue and profit, just days after it offered voluntary buyouts to some 60,000 employees. The office software giant's growth was fueled by its Azure cloud computing division, which grew by 48% in the September quarter. Continue reading... ## Apple's first touchscreen MacBook leaves the iPad with an identity crisis DevFeed: [Apple's first touchscreen MacBook leaves the iPad with an identity crisis]() Original publisher: [Read original article]() Author: Sarang Sheth Published: 2026-10-28T21:31:33Z Content type: article Language: en Sources: [Yanko Design]() Topics: [ipad](), [touchscreen](), [macOS]() Tags: [ai](), [apple](), [apple-pencil](), [battery](), [battery-life](), [blender](), [canva](), [canvas](), [davinci-resolve](), [display](), [dynamic-island](), [ipad](), [laptops](), [laptops-news-apple-macbook-pro-touchscreen](), [macbook](), [macbook-pro](), [news](), [touchscreen](), [touchscreen-macbook]() ### AI overview The excerpt describes Apple's first touchscreen MacBook Pro with a tandem OLED display, positioning it alongside the iPad and foldable iPhone Duo. The 14- and 16-inch MacBook models add touch gestures, a Dynamic Island, and macOS interface adjustments; the article says taps translate to clicks for many existing apps, while developers can build richer touch interactions. It highlights the display's brightness, contrast, color coverage, reference modes, and lighter chassis, alongside retained ports and support for multiple external displays. The key limitation is no Apple Pencil support, which the author interprets as preserving a distinct role for iPad; the excerpt also notes the Duo will support Apple Pencil (USB-C), while iPad retains Pencil Pro. Prices start at $2,899, and the excerpt gives a November 6 shipping date. ### Source excerpt Apple's first touchscreen MacBook leaves the iPad with an identity crisis If the iPad were a person, this would be the week it checked its phone and found out its friends had started a group chat... ## Apple updates iMac, MacBook Pro, and Creator Studio DevFeed: [Apple updates iMac, MacBook Pro, and Creator Studio]() Original publisher: [Read original article]() Author: Jonny Evans Published: 2026-10-28T09:00:00Z Content type: news Language: en Sources: [Computerworld]() Topics: [Artificial Intelligence](), [GPU](), [Image]() Tags: [ai](), [ai-performance](), [apple](), [apple-computers-and-peripherals-mac-macos-productivity-software](), [artificial-intelligence](), [battery](), [battery-life](), [bluetooth](), [camera](), [charging](), [chip](), [computers-and-peripherals](), [cpu](), [display](), [displays](), [edition-us](), [gpu](), [graphics](), [imac](), [language-en](), [mac](), [macbook](), [macbook-pro](), [macos](), [productivity](), [productivity-software](), [storytype-news](), [studio](), [updates]() ### AI overview Apple's launch updates put the M6 chip in the 14-inch MacBook Pro and iMac, and add AI features across Creator Studio. The MacBook Pro has a 12-core CPU and GPU, up to 32GB unified memory, and a claimed 24-hour battery life; Apple reports graphics up 30% over last year's model, or up to 11x versus M1. It adds Wi-Fi 7, Bluetooth 6, and support for two external 6K displays. The iMac retains its 24-inch 4.5K display and adds Wi-Fi 7, Bluetooth 6, up to four Thunderbolt 4 ports, and support for two external 6K displays; Apple claims twice the graphics performance of the M4 iMac. Creator Studio updates include MotionVFX effects and Pixelmator Pro editing in Final Cut Pro, drum separation in Logic Pro, natural-language Generate Fill in Pixelmator Pro, and beta AI assistants and MCP support in Keynote, Pages, and Numbers. The excerpt says the updates ship in November; it does not detail pricing or availability for Creator Studio. ### Source excerpt Apple's second day of launches this week saw it follow its tempting iPad mini upgrade by pumping up the processor in two of its most popular Macs, even while it injected artificial intelligence into Creator Studio. 24 hours of portable pro performance: 14-in MacBook Pro Apple's 14-inch MacBook Pro is popular but sits in a funny place in Apple's notebook lineup, with the powerful and popular MacBook Air biting at its heels and the more performant and powerful (though not yet M6) MacBook Pro models sitting above. We already know what the M6 chip is capable of, because it is already inside the Mac mini (which will be made in the US later this year). We know it delivers better single-core scores on Geekbench than the 10-core M5 MacBook Pro. We also know it beats that last MBP in multi-core. Now that same chip is available in a 14-inch MacBook Pro -- a really promising dose of power and performance in a highly portable pro Mac that now packs a mighty 24-hour battery life. The chip gives you a 12-core CPU, a 12-core GPU with Neural Accelerators in each core, a dual 16-core Neural Engine, and faster (16GB, upgradable up to 32GB) unified memory. What that means is power. And what that means is productivity -- 30% faster graphics compared to last year's model. For those upgrading from M1, the performance gains are even more significant, with up to 11x faster graphics and up to 13x faster AI performance. The idea is that you'll pick up your highly portable pro portable and take it anywhere you need it to be. Apple What's new in Apple's new portable pro laptop other than the processor? Networking has been enhanced with Wi-Fi 7 and Bluetooth 6. It will support up to two external 6K displays. Liquid Retina XDR display with up to 1,600 nits of peak brightness. 12-megapixel Center Stage camera. Support for fast charging. HDMI, MagSafe 3, three Thunderbolt 4 slots, SDXC card reader. Headphone jack. Available in Space Black and Silver. Pre-order from October 28, in stores November 6. ## Apple just launched a MacBook Pro 24-hours before its MacBook Pro event DevFeed: [Apple just launched a MacBook Pro 24-hours before its MacBook Pro event]() Original publisher: [Read original article]() Author: Sarang Sheth Published: 2026-10-27T20:30:44Z Content type: news Language: en Sources: [Yanko Design]() Topics: [Pinebook-Pro](), [Mac Mini](), [ipad]() Tags: [4k](), [ai](), [announcement](), [apple](), [bandwidth](), [battery](), [battery-life](), [blender](), [bluetooth](), [broadcom](), [chip](), [cpu](), [event](), [laptops](), [laptops-product-design-apple-macbook-pro](), [macbook](), [macbook-pro](), [product-design]() ### AI overview Apple announced a 14-inch MacBook Pro with the M6 chip ahead of its Pro and Tell event. Starting at $1,999, it includes 16GB unified memory and 1TB storage; pre-orders open October 28, with deliveries beginning November 6. The 2nm M6 has a 12-core CPU and GPU, and Apple claims up to 30% faster graphics than M5. Apple's N1 chip adds Wi-Fi 7, Bluetooth 6, and Thread. Two 4K displays now support up to 165Hz; memory bandwidth reaches 170GB/s only on 24GB and 32GB configurations, while the 16GB base model remains at 153GB/s. The design, display, ports, and up-to-24-hour battery life carry over from M5. The article says the rumored touchscreen models arriving at the event use M5 Pro and M5 Max. It characterizes the M6 as an easy skip for M5 owners and a more sensible upgrade for Intel or early M1 users. ### Source excerpt Apple just launched a MacBook Pro 24-hours before its MacBook Pro event On Monday, the day the new iPad mini landed, I begged John Ternus to take a break. On Tuesday morning, Apple responded by dropping a... ## Apple introduces new 14-inch MacBook Pro with M6 chip and faster wireless DevFeed: [Apple introduces new 14-inch MacBook Pro with M6 chip and faster wireless]() Original publisher: [Read original article]() Author: Shawn Knight Published: 2026-10-27T16:16:00Z Content type: release Language: en Sources: [TechSpot]() Topics: [Intel Core](), [On-device AI](), [Bluetooth]() Tags: [ai](), [ai-performance](), [apple](), [apple-silicon](), [bandwidth](), [chip](), [core](), [cpu](), [faster](), [gpu](), [graphics](), [hardware](), [laptop](), [m6](), [m6-chip](), [macbook](), [macbook-pro](), [memory](), [memory-bandwidth](), [neural](), [neural-engine](), [on-device](), [wireless]() ### AI overview Apple's refreshed 14-inch MacBook Pro adds an M6 chip and upgrades wireless connectivity to Wi-Fi 7 and Bluetooth 6. Apple says the 12-core CPU and GPU provide up to 30% faster graphics and 25% faster on-device AI than M5; its dual 16-core Neural Engine is claimed to be 1.9x faster. Memory bandwidth rises to 170GB/s from 153GB/s, but only with 24GB or 32GB RAM; the base model has 16GB. Battery life is rated up to 24 hours. The display, ports, storage, camera, speakers, dimensions, and weight remain as on the base M5 model. Preorders begin October 28 from $1,999, with shipping scheduled for November 6; a glare-reducing nano-texture display is an extra-cost option. ### Source excerpt The M6 features two additional CPU and GPU cores compared to the previous M5. According to Apple, the GPU delivers up to 30% faster graphics performance and 25% faster on-device AI performance. The dual 16-core Neural Engine, meanwhile, is said to be 1.9x faster than the M5. Memory bandwidth tops... Read Entire Article ## Initial Support For The Apple M4 & Apple A18 Pro Make It Into Linux 7.4 DevFeed: [Initial Support For The Apple M4 & Apple A18 Pro Make It Into Linux 7.4]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-10-27T00:52:15Z Content type: news Language: en Sources: [Phoronix]() Topics: [Linux Kernel](), [Linux]() Tags: [2025](), [22](), [7-4](), [air](), [apple](), [arm](), [basic](), [board](), [desktop-linux](), [devices](), [google](), [kernel](), [linux](), [linux-7-4](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-performance](), [linux-server-benchmarks](), [macbook](), [macbook-neo](), [open-source-graphics](), [patches](), [phoronix](), [phoronix-test-suite](), [pixel](), [qualcomm](), [soc](), [support](), [ubuntu-benchmarks](), [ubuntu-hardware]() ### AI overview Linux 7.4 adds initial mainline support for Apple's M4 and A18 Pro, but the Apple enablement is limited: it can boot and display a console, while most features remain unsupported. M4 device trees cover several 2024 MacBook Pro, iMac and Mac mini models and 2025 MacBook Air models. The kernel also adds support for Google's Tensor G5 "Laguna" in Pixel 10 phones and the Steam Frame VR headset. Qualcomm support includes two unreleased SoCs, Hawi and Nord, plus 22 boards; seven are handheld gaming devices using a Qualcomm Dragonwing SoC. One RISC-V board, the Milk-V Meles with a T-Head TH1520, is added. Planned removal of 32-bit ARM code was deferred until at least Linux 7.5 because the LTS release choice between 7.3 and 7.4 remained unsettled. ### Source excerpt The many SoC patches have landed within the Linux 7.4 kernel providing support for dozens of new boards as well as a number of new SoCs like the Apple M4 and the A18 Pro as found in the MacBook Neo. The Google Tensor 5 was also finally mainlined along with Pixel 10 devices. Plus some unreleased Qualcomm SoC support rounds out the bunch... ## Block's new voice model sounds eerily human DevFeed: [Block's new voice model sounds eerily human]() Original publisher: [Read original article]() Author: Ivan Mehta Published: 2026-10-24T16:00:00Z Content type: news Language: en Sources: [TechCrunch | AI News & Artificial Intelligence]() Topics: [Conversational AI](), [Local AI](), [Chat Bot]() Tags: [agent](), [ai](), [ais](), [audio](), [block](), [blog](), [bot](), [business](), [computer](), [consumer](), [conversations](), [cost](), [data](), [elevenlabs](), [emotion](), [finance](), [jack-dorsey](), [macbook](), [max](), [model](), [voice](), [voice-ai]() ### AI overview Block's Dessa is a full-duplex voice model that can listen and speak at the same time, with emotion expressed through vocal delivery rather than text-driven speech tags, though it is unclear whether tags steer that emotion. Block says it was trained on human speech using a single NVIDIA GPU and can run locally on a MacBook M4 Max or better. The excerpt describes examples of tired or emotional-sounding responses and says the model draws knowledge from conversational data. Dessa is not publicly available; Block is seeking safety researchers to test whether voice agents could deceive listeners. ### Source excerpt Block said that the voice model can run locally on a MacBook M4 Max ## Recursive Releases Flint, an Open-Weight 40B MoE Local Coding Model for Agents with 2.5B Active Params DevFeed: [Recursive Releases Flint, an Open-Weight 40B MoE Local Coding Model for Agents with 2.5B Active Params]() Original publisher: [Read original article]() Author: Asif Razzaq Published: 2026-10-21T22:39:41Z Content type: release Language: en Sources: [MarkTechPost]() Topics: [Local AI](), [Mixture of Experts (MoE)](), [agentic-coding](), [quantization](), [llama.cpp](), [Ollama]() Tags: [2](), [agentic-ai](), [agents](), [ai-infrastructure](), [ai-shorts](), [apache](), [apache-2-0](), [applications](), [artificial-intelligence](), [bench](), [coding](), [editors-pick](), [enterprise-ai](), [first](), [flint](), [for-devs](), [harness](), [language-model](), [large-language-model](), [local](), [macbook](), [macbook-pro](), [machine-learning](), [model](), [moe](), [open](), [open-source](), [releases](), [reports](), [software-engineering](), [staff](), [swe-bench](), [tech-news](), [technology](), [tokens](), [weight](), [with]() ### AI overview Recursive released Flint, an Apache 2.0, text-only MoE coding model with 39.8B total parameters and about 2.5B active per token. It supports agent tool calls and reports 74.2% on SWE-bench Verified, while scoring 54.9% on Terminal-Bench 2.1, below dense Qwen 3.8's reported 73.0%. Recursive says its automated Eureka Machine helped search the architecture and develop quantization and specialized kernels. Four-bit weights use about 23 GB; local use calls for 48 GB Apple Silicon or NVIDIA hardware, with reported speeds above 125 tokens per second on an M4 Pro MacBook Pro. Benchmark and speed figures are self-reported, and the excerpt notes the model trails the strongest dense models. ### Source excerpt Recursive has released Flint, an Apache 2.0 local coding model with 40B total and 2.5B active parameters. It reports 74.2% on SWE-bench Verified and 125+ tokens per second on an M4 Pro MacBook Pro. The post Recursive Releases Flint, an Open-Weight 40B MoE Local Coding Model for Agents with 2.5B Active Params appeared first on MarkTechPost. ## Mistlabs takes its Ambi AI system out of beta on Apple devices with $26M in funding DevFeed: [Mistlabs takes its Ambi AI system out of beta on Apple devices with $26M in funding]() Original publisher: [Read original article]() Author: Duncan Riley Published: 2026-10-12T13:00:06Z Content type: news Language: en Sources: [SiliconANGLE]() Topics: [Artificial Intelligence](), [AI Chat](), [Local AI](), [iOS](), [macOS]() Tags: [ai](), [ai-agents](), [ambi](), [ambient-intelligence](), [apple](), [apple-watch](), [artificial-intelligence](), [executive](), [funding](), [huaqin-technology](), [ios-18](), [iphone](), [luminous-ventures](), [mac](), [macbook](), [mistlabs](), [news](), [peter-mo](), [platforms](), [pre-a](), [routine](), [the-latest](), [wearable]() ### AI overview Mistlabs has released its Ambi ambient AI system from beta for Macs and supported Apple devices. Ambi uses conversations and user-set routines to coordinate agents that can research and track work across devices, with user permissions governing their actions. The company raised $26 million to develop a wearable that could give Ambi more context; the wearable is planned for later this year. ### Source excerpt Ambient intelligence startup Mistlabs Ltd. today brought its Ambi artificial intelligence system out of beta test on Apple Inc. devices, backed by $26 million in new funding. Ambi is designed to act without being asked. Chief Executive Peter Mo said most AI platforms are built to complete tasks, and Mistlabs wants to see what becomes [...] The post Mistlabs takes its Ambi AI system out of beta on Apple devices with $26M in funding appeared first on SiliconANGLE. ## A developer got Googlebook OS running on Apple Silicon, but it's far from ready for daily use DevFeed: [A developer got Googlebook OS running on Apple Silicon, but it's far from ready for daily use]() Original publisher: [Read original article]() Author: Skye Jacobs Published: 2026-10-11T16:47:00Z Content type: news Language: en Sources: [TechSpot]() Topics: [GPU rendering](), [Emulator](), [GPU instancing](), [Cloud Architecture]() Tags: [apple](), [apple-silicon](), [developer-tools](), [developers](), [encryption](), [es](), [google](), [macbook](), [metal](), [operating-system](), [software](), [virtual](), [virtual-machine](), [vulkan]() ### AI overview Developer Skylar Taylor-Barrick's gbos-vm project runs Googlebook OS on Apple Silicon Macs in a QEMU virtual machine with GPU acceleration and Chrome. It bridges Vulkan and Metal and adapts graphics buffers and textures, but WebGL compatibility is incomplete. The experimental setup also has limited hardware support and weaker security protections than a physical Googlebook, so it is recommended for development and experimentation rather than everyday use. ### Source excerpt The graphics support is a key part of the work. Googlebook OS uses Vulkan, while Apple's graphics system uses Metal. The project bridges the two graphics APIs so the virtual machine can use the Mac's GPU instead of relying on the CPU to render the interface. Read Entire Article ## Tell agents the why, not just the how DevFeed: [Tell agents the why, not just the how]() Original publisher: [Read original article]() Published: 2026-09-15T00:00:00Z Content type: opinion Language: en Sources: [Sean Goedecke]() Topics: [Prompt Engineering](), [AI-assisted coding](), [Frontier AI](), [Local AI](), [WebExtension]() Tags: [advice](), [agent](), [agent-context](), [agents](), [ai](), [ai-agents](), [ai-content](), [ai-detection](), [battery](), [browser](), [code](), [context](), [detection](), [extension](), [frontier-models](), [goals](), [golang](), [gpt-6-astra](), [local](), [macbook]() ### AI overview As agents improve, their mistakes increasingly come from assumptions about a user's goals and priorities, so prompts should explain the broader context and tradeoffs, not just specify tasks. The author illustrates this with a project to detect and hide AI-written web content: they explain the long-term aim, the near-term goal of finding an efficient detector for a MacBook, the preference to keep the laptop cool, and the plan to use Runpod for demanding experiments. That context lets the agent suggest alternatives such as native messaging or a different model. For work, the author similarly spells out relative technical priorities--such as bug avoidance, observability, fit with existing code, and performance--so the model can make informed tradeoffs. ### Source excerpt Early AI agents were basically enthusiastic idiots. Working with them required you to tell them precisely what you wanted them to do (for instance, "method A exists on class B, please add an equivalent method to classes C through F"). Otherwise they'd go off and do entirely the wrong thing. But as AI agents have improved, this has changed. When frontier models go off and do the wrong thing today, they don't do it because they're confused, they do it because they make an incorrect assumption about your goals or priorities. For instance, when GPT-6-Astra thinks it's writing code for itself, it will produce minified code. It's perfectly capable of writing human-readable code -- at least in Golang, where I've produced several thousand lines of acceptable code with the model -- but you have to tell it that humans will be reading the code1. This is the main piece of advice I want to give most people I see prompting agents: give the agent context on your priorities, not just on the specific task you want them to do. Here's a prompt I recently used as the starting point for Deckard. Hello. You should have Runpod access via MCP (if not, tell me and I'll fix it). I have the long-term goal of building a local program or browser extension to automatically scan pages I load for AI content and hide it. I have the short-term goal of figuring out the best AI detection model I can run on my macbook without killing my battery or making it hot, and (relatedly) figuring out how to run the model most efficiently. My guess is that Pangram's EditLens 3B or the smaller Roberta model might be a good place to start, though they might require quantizing and will definitely require some work to make them run as efficiently as possible on my macbook. I would like you to use my Runpod account to start answering these questions. Eventually we'll move to doing things on this macbook pro, but my hope is that Runpod can help with some experiments that are too hot/long/slow to run locally. You are a sm ## Taildrop - transfer files between Android and MacOS DevFeed: [Taildrop - transfer files between Android and MacOS]() Original publisher: [Read original article]() Author: Kaushik Gopal Published: 2025-05-01T15:03:32Z Content type: opinion Language: en Sources: [Kaushik Gopal's Site]() Topics: [tailscale](), [Network Attached Storage (NAS)](), [Virtual Private Network]() Tags: [alpha](), [android](), [apple](), [bluetooth](), [devices](), [download](), [ecosystem](), [feature](), [file](), [file-server](), [files](), [images](), [internet](), [iphone](), [links](), [mac](), [macbook](), [machine](), [macos](), [taildrop]() ### AI overview Taildrop lets devices running Tailscale transfer files across platforms without Bluetooth or proximity limits; the author reports sending uncompressed images and notes no file-size limit. Its key restriction is that Taildrop can send only to the account holder's own devices, unlike AirDrop's nearby sharing, and it handles files but not links. On Android, the author sometimes saw previously sent files appear in the preview, risking a mistaken transfer; Taildrop is labeled alpha. A separate alpha feature, Taildrive, provides shared-folder access to anyone on the same Tailnet. The excerpt ends before the author's conclusion. ### Source excerpt I use the Pixel 9 Pro as my daily driver and love it. But one notable feature I've always missed from the Apple ecosystem is AirDrop. I typically have WhatsApp for Mac open and dump things there for quick access between devices. Clunky, but it worked. Until I realized Tailscale -- a VPN1 that I love and use -- has a feature called Taildrop. The name suggests it's meant as an AirDrop competitor, and I've been super happy with it. I can now send images uncompressed2 to any of my devices. I'm not restricted by Bluetooth, proximity, or other limitations. Just need Tailscale running on the device. Advantages ## Not limited to the Apple ecosystem ### Probably the highlight here is that Taildrop works on any device that supports Tailscale. So between a Pixel, iPhone, MacBook, Windows machine -- no walls here. Unlimited file size ### There's no filesize limit. In all fairness, AirDrop doesn't have one either. Taildrive ### Another alpha feature they're working on, similar to Taildrop, is Taildrive. It's effectively a shared folder on the internet. If you're on the same network (Tailnet), you can download files from this folder from anywhere. This basically allows any folder on your device to become a mini NAS or file server. Bonkers! Constraints ## It's not all sunshine and rainbows though. There are some constraints and issues with Taildrop. Can only send to yourself ### Even if you add another user to your Tailscale network, you can still only send files to yourself. I imagine this is still an early restriction, but the good news is that Tailscale is thinking about relaxing this over time (maybe). This is clearly an area where AirDrop is superior since it can more conveniently allow you to send files to anyone nearby. Note this doesn't apply to Taildrive, just to Taildrop. With Taildrive, anyone on your Tailnet can access the shared files. Can only send files ### AirDrop handles sharing URLs or links elegantly. Share a URL from your phone to computer, and it automatically op ## Office Hours: Apollo iOS - 16 June 2023 DevFeed: [Office Hours: Apollo iOS - 16 June 2023]() Original publisher: [Read original article]() Author: Patrick Arminio Published: 2023-07-20T16:35:49Z Content type: article Language: en Sources: [Apollo Blog]() Topics: [iOS](), [software-development]() Tags: [2023](), [apollo](), [apollo-client](), [apple](), [development](), [discord](), [engineering-manager](), [intel](), [ios](), [iphone](), [june](), [kotlin](), [macbook](), [mobile](), [mobile-development](), [office-hours]() ### AI overview Apollo's maintainer office hours opens with engineering manager Jeff Auriemma and mobile developer Calvin Cestari introducing themselves, then shares an iOS-themed icebreaker about Calvin's first Apple devices. He recalls buying a white plastic MacBook around 2007 and still owning a working original iPhone, though it runs an ancient iOS version and is barely usable. The supplied excerpt ends during a discussion of how long he used the phone, so it does not establish what the session covered about Apollo iOS. ### Source excerpt Here we are with another episode of our office hours! We have a recording of the stream below, where Jeff Auriemma and Calvin Cestari discuss all about Apollo iOS! Join the Discord server, now so you don't miss future office hours! Transcript Jeff Welcome back, everyone, to another maintainer office hours. What's old is new again. We started this series with Apollo iOS, and now we're back to Apollo iOS again. I'm Jeff, Jeff Auriemma. My pronouns are he and him. ## Modern MacBook benchmarks for Android development DevFeed: [Modern MacBook benchmarks for Android development]() Original publisher: [Read original article]() Author: Kirill Rozov Published: 2022-01-29T15:56:46Z Content type: comparison Language: en Sources: [Kirill Rozov]() Topics: [Benchmark](), [software-development](), [Android](), [Gradle](), [Intel Core]() Tags: [android](), [android-app-development](), [android-development](), [android-studio](), [androiddev](), [apple](), [apple-m1](), [apple-silicon](), [arm](), [benchmark](), [benchmarks](), [build](), [cpu](), [gradle](), [imac](), [intel](), [intel-core](), [jdk](), [mac](), [macbook](), [macbook-air](), [macbook-pro](), [performance]() ### AI overview Across six Android projects, Apple Silicon generally built faster than the tested 2019 Intel MacBook Pros. In ExoPlayer, the M1 scored 39.4 seconds, the 10-core M1 Pro/Max 28 seconds, and the best Intel result 43.9 seconds; in Telegram, which relies heavily on native C/C++ tooling, Intel i7 and i9 beat the MacBook Air M1 because its native compilation ran through Rosetta 2 while Android NDK support was incomplete. Results are averages of ten Gradle Profiler runs after two warm-ups, using Gradle 7.3.3 and JDK 11 (Zulu ARM on Apple Silicon). The author recommends an M1 Air with 16 GB RAM for most mobile developers, and a 10-core M1 Pro for larger projects or more memory; M1 Max showed no meaningful development benchmark advantage over M1 Pro. The comparison reflects the tested projects and software available at the time, heading into 2022. ### Source excerpt Photo by Danial Igdery https://unsplash.com/photos/FCHlYvR5gJI Choosing a device is never easy as it is, but the new Apple Silicon SoCs for Mac have given the market a good shake and made the choice even harder. Which MacBook should I buy? How different are they? It's hard to figure out. Besides, searching for thorough tests is one hell of a job. In this article, I'll give you a proper comparison of build speeds using some real-life Android projects and a number of different MacBook models. In addition to that, I'll tell you which one to buy heading into 2022. Test computers In this test, I used the latest MacBook Pro laptops powered by Intel as well as some of the latest MacBooks with M1. iMac 27" Late 2015 Intel Core i7 6700K | 24 GM RAM MacBook Pro 16" 2019 i7 9750H 6 CPU cores/12 threads | 16 GB RAM MacBook Pro 16" 2019 i9 9880H 8 CPU cores /16 threads | 32 GB RAM MacBook Air 2020 M1 | 16 GB RAM MacBook Pro 14" 2021 M1 Pro 8 CPU | 16 GB RAM MacBook Pro 14" 2021 M1 Pro 10 CPU | 32 GB RAM MacBook Pro 16" 2021 M1 Pro 10 CPU | 32 GB RAM MacBook Pro 16" M1 Max | 32 GB RAM I added my old iMac 27" Late 2015 to the test to see how much progress the new models of Macs made.Test method Making sure all computers work in equal conditions isn't easy, but I've tried to make it perfect: Using the latest revision of JDK 11. For Apple Silicon I used Zulu ARM JDK Using Gradle 7.3.3 to build projects (the latest available version in moment of testing) Disconnecting the external displays Connecting all computers to a power source Close as many programs as possible, including the background ones Close Android Studio! Switch computer into performance mode (if available) Placing all laptops on a hard flat surface to let the airflow come in and cool down the laptop Not touching the computers during tests Turning off the Spotlight indexing or adding the test project folder to exceptions. If you know of any other conditions to be considered before benchmark testing, I'd be happy to read ## Software Development on Windows 10 with WSL2 DevFeed: [Software Development on Windows 10 with WSL2]() Original publisher: [Read original article]() Published: 2020-12-20T00:00:00Z Content type: tutorial Language: en Sources: [Jack Franklin]() Topics: [Windows Subsystem for Linux](), [software-development](), [developer setup](), [Visual Studio Code](), [Windows]() Tags: [dependencies](), [development](), [docker](), [environment](), [git](), [integration](), [io](), [laptop](), [linux](), [macbook](), [microsoft](), [npm](), [performance](), [plugin](), [remote](), [software](), [software-development](), [windows](), [windows-10](), [wsl2]() ### AI overview The author found Windows 10 productive for development using VSCode's WSL Remote integration, but WSL 1 had slow file operations during large npm installs, limited app support such as Docker, and occasional VSCode lag. WSL 2 felt faster in daily use; Microsoft's documentation cited 2-5x faster file I/O for tools such as git and npm, though the author did not benchmark it. WSL 2 also enabled Docker, and upgrading an existing WSL 1 install was described as smooth. The setup account covers updating Windows, installing WSL 2 and Ubuntu by enabling WSL, upgrading, installing a kernel update, setting WSL 2 as default, and installing the distro; the author notes this involved several steps and restarts. They then configured Windows Terminal to launch Ubuntu and installed VSCode with settings sync. Inside Ubuntu, their personal toolkit included Fish and Fisher, asdf, Node, GitHub CLI, dotfiles, and an SSH key. Windows Terminal was still rough around settings, which required JSON configuration. ### Source excerpt Back in October 2019 I'd taken the plunge and tried Windows for my development work. It was largely a succesful experiment. By using the Windows Subsystem for Linux (WSL), I was able to run most of my tools effectively in Linux, something I'm familiar with, and with VSCode's WSL Remote plugin, I could run VSCode in Windows connected to the Linux environment provided by WSL, and things felt very familiar. Shortcomings of WSL That said, there were some minor issues and frustrations with WSL and this workflow. The main one was that WSL 1 was known to be much slower at file reads and writes. You might think this isn't a huge deal - but if you're running a package manager like npm and installing a bunch of dependencies, those reads and writes add up to the point where it's noticably slow (and I'm running on a fairly beefy XPS laptop). WSL 1 also had some holes in terms of application support, you couldn't use Docker - not something I do regularly, but something that's useful to be able to reach for - and at times I found the VSCode WSL integration to be slightly laggy. Not much, and not often, but everything wasn't quite as smooth as it would be on the MacBook I usually worked on. Enter WSL 2 WSL 2 (see an intro video here) promised major improvements over WSL 1. I can't go into the details of the implementation, because frankly it's way over my head, but from the learnings of the successes and failures of WSl 1 Microsoft were able to make amazing improvements in WSL 2. This comparsion on the MS site shows all the differences, but the highlight for me was that file IO performance was drastically improved - the docs quote 2-5x faster for running tools such as git or npm. I haven't benchmarked, but running WSL 2 feels so much snappier and I don't feel a noticable delay when running a large npm install. Additionally, WSL 2's architectural changes enable it to run many, many more apps, so using tools like Docker is now possible. And, you could upgrade a WSL 1 install to WSL ## PhpStorm OSX performance: October 2018 DevFeed: [PhpStorm OSX performance: October 2018]() Original publisher: [Read original article]() Author: Brent Published: 2018-10-26T00:00:00Z Content type: tutorial Language: en Sources: [Stitcher]() Topics: [phpstorm](), [macOS](), [JavaFX](), [Swing](), [IntelliJ IDEA](), [Java]() Tags: [2018](), [intellij](), [java](), [javafx](), [macbook](), [osx](), [performance](), [phpstorm]() ### AI overview A troubleshooting guide for PhpStorm performance problems on macOS. It discusses external monitor resolutions, font antialiasing, JavaFX-dependent plugins, and JDK selection as possible causes or mitigations. ### Source excerpt Read the full post on https://stitcher.io/blog/phpstorm-performance-october-2018