Microsoft announces AI-powered PCs built with Qualcomm chips
Copilot + PC is the latest example of Microsoft's emphasis on AI.
Microsoft has been on the forefront of the growth and development of AI technology, and that will soon extend to its family of computer hardware. The company has announced Copilot + PC, a new line of personal computers designed to utilize AI and powered by Qualcomm chips.
Microsoft announced Copilot + PC during a showcase today and shared additional details in a subsequent blog post. Described as the “fastest, most intelligent Windows PCs ever built,” Copilot + PCs will feature a suite of AI tools such as Recall, Cocreator, and Live Captions. These devices will also sport all-day battery life.
Source: Microsoft
Microsoft has confirmed that there will be Copilot + PCs from Acer, ASUS, Dell, HP, Lenovo, and Samsung. Microsoft will also release new Surface laptops as part of the Copilot + PC family, with 13.8-inch and 15-inch models that can support between 20-22 hours of playback.
The first wave of Copilot + PC devices will be available on June 18, 2024. For the latest updates on Microsoft’s products and services, stick with us here on Shacknews.
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replyDonovan Erskine posted a new article, Microsoft announces AI-powered PCs built with Qualcomm chips
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MS introducing Copilot+ laptops with built in AI support at hardware and software level
https://www.theverge.com/2024/5/20/24160486/microsoft-copilot-plus-ai-arm-chips-pc-surface-event-
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I will not stand idly by while you besmirch the Zune, I loved that thing. Long live the squircle!
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Years later and it is still the best mobile UI ever imho.
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Not personally, but I was always impressed by the videos I saw.
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https://en.wikipedia.org/wiki/Microsoft_Bob
I honestly wonder what the people who worked on this think of AI. I mean, this thing was pretty much the great grandaddy of it all.
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Microsoft also seems to be requiring an SSD and 16GB of RAM for the Copilot+ stuff as well.
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For now. Everyone is going to have them soon
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Rewind sounds like it could be super useful. Hopefully Apple adds a Rewind type feature to iOS soon since third parties won't be allowed to outside the EU probably.
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Windows Search works pretty well as long as you turn off the web search shit. https://www.ghacks.net/2021/11/26/how-to-turn-off-search-the-web-results-in-windows-11/
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traditional 'search' doesn't know anything about what you were looking at or at what time. It searches the current state of the world unrelated to your activity. "Find my files named foo" is a completely different request than "When was I looking at __ with __"?
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If Ms really wanted to make ai take off, they'd create an app that allows you to easily train AI so people can do their own training locally.
Like for example, for gardening, I could take regular snapshots of my plant and have ai scan my images to detect caterpillars. I think allowing users to easily create simple AI apps like this will cause AI to explode.-
No one has the compute to train locally, nor the desire/expertise to. Why do you need a locally trained/tuned AI to detect caterpillars on your plant? This is basically exactly what gpt4o could already do given a series of photos. What it can't do yet is 'scan my plant photos daily and send me an alert if you see a caterpillar' but that's more of designing a basic app workflow and doesn't have to do with training AI.
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So the scuttlebutt where I work is that MS are playing a long game where they get this AI hardware out widely and then offload a lot of the processing from Azure onto your corporate estate. They'll fumble the messaging, or people will just assume MS want to run their workloads on your machines, but it's a little bit less evil than that:
We have a metric fuckton of Surface laptops and 95% of the userbase are just using browsers and office apps all day. If in the background the AI hardware could be contributing to a distributed Copilot for our organisation, and keeping the data out of the cloud, that'd be neat. Fun for networking teams to try and optimise for though! -
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I love the idea of Windows on ARM. But this AI junk better be able to be disabled. Brad and Will were discussing it briefly on the tech pod, but if gaming continues to make these huge leaps on Linux, it may finally be time to wave goodbye.
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anyone can access self hosted, uncensored models today
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The only pain points I'd really say are worth calling out are all related to nvidia, and those should be resolved shortly.
Wayland just got explicit sync support, and nvidia should have a beta driver that supports that basically any day now. That should resolve most of their outstanding issues on Wayland, and that brings with it proper VRR support combined with multiple monitors, as well as (eventually) HDR support.-
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So BigScreen VR just got a literal kernel patch to help them work properly. I think as long as you're talking SteamVR you can have a good experience with the right hardware.
Haven't had any issues with game controllers, personally. Aside from 8bitdo not making a native linux version of their Ultimate software.-
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I used manjaro for a while and right now I'd suggest going just straight to arch or to another arch-based distro like endeavorOS instead.
Manjaro sometimes makes changes to packages in a way that caused me some issues.
But both of those are only for people who are already comfortable with the terminal.-
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If you have AMD hardware, I might just try something like Chimera:
https://chimeraos.org/
But it depends on what you want to do and your experience level.
I like endeavor because it gives you basically all the strengths of arch (everything on the bleeding edge), but does have a nice installer and a handful of useful tools for newcomers, as well as several default desktops to choose from that are complete and well set up.
You still do your updates and package management on the command line, but it's straightforward if you know linux.
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Aside from the steamdeck, where Proton is basically witchcraft.
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Keeping up with the innovation in the windows space is going to require active driver updates and this historically has been an issue for Linux. Steamdeck is the golden example; fixed hardware with heavy support but whether this ever can be translated to your homebuilt pc seems dubious at best.
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This is actually the best it's ever been. AMD has open source drivers that valve directly contributes to, and Nvidia both is rapidly improving their binary drivers but also for the first time ever has two employees directly contributing to the open source drivers - they hired the main developer of the open nouveau drivers.
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It just needs to get to the point where it is useful outside of parlor tricks, fun gimmick demos, and coding.
There will be real utility in being able to ask my phone or whatever things like these:
- Find the photo from my dog when she was a puppy and we were playing frisbee in the backyard.
- Route me a trip to Miami leaving my house at 8 am. Find a super charger along the way we will be passing around noon near a casual restaurant.
- Find the all communication with my boss about the meeting next Tuesday. (Imagine it compiles everything from slack, email, and texts)
- Make a Shortcut automation that closes the garage door if I leave home in my car. (iOS shortcuts is so powerful. Helping people program and get the most out of it could be huge.)
- Make a Shortcut that I can run every Monday morning. I want it to find all categories that have a sales decrease 2 weeks in a row in the email from Sunday afternoon and the previous Sunday. Add a task to follow up with the owner of that category Monday afternoon. It should also create a shared Apple Note with that person using the note titles Sales Action Plan as a template.
- Download next months comic book solicitations for Marvel, DC, Image, and IDW. Create a spreadsheet where I can check which books I’m interested in, sorted by on sale date.
- Find me all breakfast restaurants within 30 minutes of home that are ranked at least 4 starts on Yelp. They need to be open Sunday mornings and serve French Toast.
- Make me a playlist of the top 10 songs I listened to from 2010-2020. No heavy metal or rap. Also make one of just heavy metal and rap from that time period.-
Not quite there, but it's getting close
Here is a recommended route for your drive from Denver to Miami, including a Tesla Supercharger stop around noon near a casual restaurant.
1. **Departure from Denver**:
- Leave your house in Denver at 8 AM.
2. **Supercharger Stop Near Kansas City**:
- Around noon, you will be near Colby, Kansas. There is a Tesla Supercharger located at the Oasis Travel Center (463 W 4th St, Colby, KS 67701). This Supercharger is conveniently located off I-70.
3. **Casual Restaurant**:
- Near the Colby Supercharger, you can find **City Limits Bar & Grill** (2227 S Range Ave, Colby, KS 67701). This restaurant offers a variety of casual American dishes and is well-rated for its friendly service and good food.
### Detailed Route:
- **Denver, CO to Colby, KS**:
- Drive approximately 3 hours and 30 minutes (230 miles) via I-70 E.
- Estimated arrival around 11:30 AM.
- **Charging and Lunch Break in Colby, KS**:
- Charge your Tesla at the Oasis Travel Center Supercharger while having lunch at City Limits Bar & Grill.
- Spend about an hour for charging and lunch.
- **Continuing to Miami, FL**:
- After your break, continue driving towards Miami. The total trip from Denver to Miami typically takes around 28 hours of driving time, so plan for additional Supercharger stops along the way.
For more details on planning your Tesla route, you can use the Tesla Trip Planner on the Tesla website, which helps in finding Superchargers along your route and ensuring convenient stops [[❞]]
Breakfast:
Here are some top-rated breakfast restaurants within 30 minutes of home that are open on Sunday mornings and serve French Toast:
1. **Morning Story**: Located in Arvada, Morning Story offers a variety of breakfast classics including Brioche French Toast. It has a welcoming atmosphere and serves fresh, locally sourced ingredients. The restaurant is highly rated for its creative menu and excellent service [[❞]](https://www.morningstoryrestaurant.com/).
2. **Snooze, an A.M. Eatery**: Situated in nearby Denver, Snooze is known for its inventive breakfast dishes and vibrant atmosphere. Their menu includes several types of French Toast, and they consistently receive high ratings for both food and service [[❞]](https://boam.com/best-breakfast-places-in-commerce-city/).
3. **The Delectable Egg**: With locations throughout the Denver area, The Delectable Egg offers traditional and specialty breakfast items, including French Toast. It’s praised for its cozy setting and friendly service [[❞]](https://boam.com/best-breakfast-places-in-commerce-city/).
4. **Butcher Block Café**: This family-owned spot in Denver is famous for its hearty breakfasts and homemade breads. Their French Toast is a local favorite, and the café is known for its welcoming vibe and consistent quality [[❞]](https://www.restaurantji.com/co/commerce-city/).
These restaurants not only have strong reviews but also meet your criteria of serving French Toast and being open on Sunday mornings.
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It is truly incredibly useful for programming. Not in the "ChatGPT create this app for me" sense but as a makeshift partner.
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why does it need an ai chip to ask chatgpt
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Probably not but there are tons of specific, purpose built models that are still really good and relatively small and fast. https://huggingface.co/
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In the release it says it runs LLMs in the cloud, small models locally.
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You can run smallish LLMs locally on a computer with enough GPU memory/integrated memory and a decent GPU. You probably want a quantized version (i.e., the weights are reduced from 16 bits to 8 or even 4). In fact you can run them on an iPhone or iPad: https://apps.apple.com/us/app/mlc-chat/id6448482937
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If you wanted to play with a local LLM, I hear good things about Ollama as a framework to run various LLMs locally: https://github.com/ollama/ollama
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I use LM Studio on Windows and it's really nice. https://lmstudio.ai/
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Intel's next mobile chip has that, Lunar Lake.
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the whole Copilot+ PC branding is about having sufficient hardware specs to run various local models
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If anyone wanted some in with benchmarks https://signal65.com/wp-content/uploads/2024/05/NewSurfaceLaptop2024_Signal65LabInsights_r1.01.pdf
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so are we not getting this on normal PCs. why cant they make a ai pcie card
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