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Humanoid housebot will get caught into home chores

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We’re already seeing humanoid robots coming into the office in restricted trials, however when will we be capable to relax and let the service droid care for family chores? A brand new video from Germany’s Neura Robotics reveals this dream is inching ever nearer to actuality.

Neura Robotics was based in 2019 close to Stuttgart in Germany, and has since launched industrial robotic arms and manipulators, a roving cellular platform and a multi-purpose helper.

The corporate has additionally been engaged on a basic goal humanoid named 4NE-1 for the final couple of years, and has now proven off just a few of its capabilities in a promo video – which has been launched to focus on Neura becoming a member of forces with NVIDIA to speed up humanoid growth.

NEURA x NVIDIA crew as much as redefine the way forward for robotics

The footage reveals the humanoid helper performing a raft of mediocre or tiresome home chores – from doing the ironing to meals prep – whereas additionally tidying up gadgets scattered on a tabletop or maintaining the children amused. The cheerfully named bot is seen working equipment and hefting gear round a workspace, to focus on its business potential, earlier than introducing fellow Neura relations.

It is not clear whether or not teleoperation was concerned right here, however the video does point out coaching the system in a simulated atmosphere. The 4NE-1 is reported to face 1.8 m (5.9 ft) in peak and weighs in at 80 kg (176 lb). There are 3D sensors in its torso for 360-degree imaginative and prescient capabilities, and it is in a position to transfer at as much as 3 km/h (1.8 mph).

The pinnacle can also be a standing show, voice recognition is cooked in and the robotic will get to grips with duties by way of reinforcement studying. It might probably work autonomously or be operated remotely, and is able to lifting and carrying objects as much as 15 kg (33 lb).

Dealing with these objects comes courtesy of human-like palms on the finish of jointed arms, although the forearms are exchangeable for one thing extra process particular if wanted. Onboard sensors are stated to supply force-torque suggestions for all shifting joints – enabling clean, steady and exact movement. And the corporate boasts that it has additionally developed a particular AI-driven sensor “that may detect folks and different shifting objects even when the sensor’s view is obstructed.”

AI and robot development are inching us closer to the day when humanoid helpers will take care of humdrum household chores, so we can spend our time on more important things
AI and robotic growth are inching us nearer to the day when humanoid helpers will care for humdrum family chores, so we are able to spend our time on extra necessary issues

Neura Robotics

The entire Neura robots will profit from early entry of NVIDIA’s Humanoid Robotic Developer Program, which incorporates inference microservices to “assist builders practice bodily machines and enhance how they deal with advanced duties” and cloud-based OSMO orchestration and scaling to run multi-stage workloads, in addition to AI/simulation teleoperation coaching workflows.

“By combining Neura’s modern cognitive robotics options with NVIDIA’s superior computing energy and simulation platforms, we’ll push the boundaries of humanoid robotics even sooner.,” stated Neura’s founder, David Reger.

NVIDIA additionally gives AI supercomputers to coach fashions, one other platform “the place robots can study and refine their abilities in simulates worlds” and Jetson Thor humanoid robotic computer systems to run the fashions. Neura’s companions and prospects are to realize entry to NVIDIA’s Venture GR00T basis mannequin from September. A manufacturing timeline for the 4NE-1 humanoid has not been revealed right now.

Supply: Neura Robotics



Sponge Cities in China: Main the Approach


Sponge Cities in China: Main the Approach

Sponge cities in China, together with Wuhan, Chongqing, and Xiamen, make the most of inexperienced infrastructure to handle city water challenges. These cities incorporate rain gardens, wetlands restoration, and permeable pavements to reinforce water absorption and cut back flooding. This initiative is a part of China’s broader effort to create resilient and sustainable city environments.

What’s the Sponge Metropolis Idea?

The sponge metropolis idea is an modern city planning and design strategy geared toward enhancing a metropolis’s resilience to local weather change and managing city water challenges. A sponge metropolis absorbs, shops, and releases rainwater, very similar to a sponge, to mitigate flooding, replenish groundwater, and enhance water high quality. This idea integrates inexperienced infrastructure, nature-based options, and sustainable city design to create a extra harmonious relationship between city growth and the pure atmosphere.

China is on the forefront of the sponge metropolis motion, with a government-led initiative to rework city areas into resilient, water-absorbent environments. The nation has designated over 30 cities as sponge cities, together with Wuhan, Chongqing, and Xiamen. These cities make the most of superior applied sciences and modern designs to handle water sustainably and improve city resilience.

Wuhan sponge city china

Wuhan

Wuhan, a serious metropolis in central China, is a number one instance of the sponge metropolis idea. As one of many pilot cities, Wuhan has carried out quite a few initiatives to deal with its frequent flooding points and enhance water administration.

Key Tasks and Applied sciences:

  1. Inexperienced Roofs: Wuhan has extensively put in inexperienced roofs throughout residential, industrial, and public buildings. These roofs soak up rainwater, cut back runoff, and enhance insulation.
  2. Permeable Pavements: Town makes use of permeable pavements in public squares, streets, and parks to permit rainwater to infiltrate the bottom, lowering floor runoff and recharging groundwater.
  3. Constructed Wetlands: Wetlands have been created to naturally filter and retailer stormwater. These wetlands improve biodiversity and supply leisure areas for residents.
  4. Rain Gardens: These are carried out in numerous neighborhoods to seize and filter rainwater, lowering the burden on town’s drainage system.

Statistics:

  • By 2020, Wuhan aimed to make sure that 70% of its city space may soak up and reuse not less than 70% of rainwater.
  • Over 389 initiatives had been initiated, overlaying an space of roughly 20.9 sq. kilometers.

Chongqing

Chongqing, a mountainous metropolis in southwest China, faces vital challenges because of its topography and heavy rainfall. The sponge metropolis initiative right here focuses on lowering flood danger and enhancing water high quality.

green roof

Key Tasks and Applied sciences:

  1. Inexperienced Infrastructure: Chongqing has developed inexperienced belts and parks with permeable surfaces to handle stormwater and create city inexperienced areas.
  2. Rainwater Harvesting Programs: Buildings are outfitted with methods to gather and retailer rainwater for non-potable makes use of, comparable to irrigation and bathroom flushing.
  3. Bioswales: These panorama components are designed to pay attention and convey stormwater runoff whereas eradicating particles and air pollution.
  4. Underground Water Storage: Giant-scale underground tanks are used to retailer extra rainwater, which can be utilized throughout dry durations.

Statistics:

  • Chongqing’s sponge metropolis space encompasses round 20 sq. kilometers, with over 250 initiatives accomplished by 2020.
  • Town has seen a discount in floor runoff by roughly 25%, considerably reducing the danger of city flooding.

Examine Out extra on Sponge metropolis tampa

Permeable Pavements

Xiamen

Overview: Xiamen, a coastal metropolis in southeast China, focuses on balancing city growth with pure water cycles. Its sponge metropolis initiatives goal to mitigate flood dangers and shield the coastal atmosphere.

Key Tasks and Applied sciences:

  1. Inexperienced Roofs and Partitions: These installations on buildings assist soak up rainwater, cut back warmth island results, and improve city aesthetics.
  2. Permeable Pavements: Used extensively in public areas, these pavements cut back runoff and permit water to percolate into the bottom.
  3. City Wetlands and Lakes: Xiamen has restored and constructed wetlands and lakes to handle stormwater, improve biodiversity, and supply leisure areas.
  4. Seawater Desalination: As a part of its built-in water administration, Xiamen makes use of desalination applied sciences to complement its freshwater sources.

Statistics:

  • By 2020, Xiamen’s sponge metropolis initiatives lined an space of about 19 sq. kilometers.
  • Town has diminished its city flood danger by 30% and improved the standard of its coastal waters via enhanced stormwater administration.

Financial and Environmental Impression of China’s Sponge Cities

Financial Impression

  1. Flood Harm Discount:
    • Price Financial savings: By mitigating flood dangers, sponge cities considerably cut back the financial losses related to flood injury. This contains financial savings on infrastructure repairs, healthcare prices because of waterborne illnesses, and losses from enterprise interruptions.
    • Insurance coverage: Decrease flood dangers can result in diminished insurance coverage premiums for each municipalities and property homeowners.
  2. Elevated Property Values:
    • Actual Property Market: Improved city environments with inexperienced areas and higher water administration can improve property values. Residents are prepared to pay a premium for properties in areas with enhanced livability and diminished flood dangers.
    • Funding Attraction: Sponge metropolis options make areas extra engaging to buyers and builders, selling financial development.
  3. Job Creation:
    • Building and Upkeep: The event and upkeep of inexperienced infrastructure, comparable to inexperienced roofs, permeable pavements, and wetlands, create jobs in building, landscaping, and environmental engineering.
    • Analysis and Growth: Ongoing innovation in sustainable city design and water administration applied sciences fosters job development in R&D sectors.
  4. Price Effectivity:
    • Lengthy-Time period Financial savings: Whereas preliminary investments in sponge metropolis initiatives may be excessive, the long-term financial savings in diminished flood injury, decrease water therapy prices, and improved public well being can outweigh these prices.
    • Public Providers: Environment friendly water administration reduces the pressure on public water and sewage methods, doubtlessly reducing municipal working prices.

Environmental Impression

  1. Flood Mitigation:
    • Stormwater Administration: Sponge cities soak up and retailer rainwater, lowering floor runoff and stopping city flooding. This helps shield pure waterways and reduces erosion.
    • Groundwater Recharge: By permitting water to infiltrate the bottom, sponge cities assist replenish aquifers, supporting sustainable water provide.
  2. Water High quality Enchancment:
    • Pollutant Filtration: Inexperienced infrastructure comparable to wetlands and bioswales naturally filter pollution from stormwater, enhancing the standard of water getting into rivers, lakes, and oceans.
    • Lowered Sewer Overflow: By managing stormwater on the supply, sponge cities cut back the frequency and quantity of mixed sewer overflows, reducing the discharge of untreated sewage into pure water our bodies.
  3. Biodiversity and Habitat Creation:
    • City Inexperienced Areas: Inexperienced roofs, parks, and wetlands present habitats for numerous plant and animal species, enhancing city biodiversity.
    • Ecosystem Providers: These inexperienced areas provide ecosystem providers comparable to carbon sequestration, air purification, and temperature regulation.
  4. Local weather Resilience:
    • Warmth Island Mitigation: Vegetation and water options in sponge cities assist cool city areas, lowering the city warmth island impact and enhancing thermal consolation.
    • Local weather Adaptation: Sponge cities improve resilience to local weather change by managing excessive climate occasions like heavy rainfall and droughts extra successfully.
  5. Sustainable City Growth:
    • Built-in Planning: Sponge metropolis initiatives promote holistic and built-in city planning, guaranteeing that growth initiatives think about environmental impacts and sustainability.
    • Neighborhood Engagement: These initiatives usually contain native communities in planning and implementation, fostering a way of possession and stewardship for the atmosphere.

Case Research: Wuhan, Chongqing, and Xiamen

Wuhan:

  • Financial: Saved tens of millions in potential flood injury prices and boosted property values in newly developed sponge metropolis areas.
  • Environmental: Improved water high quality in city lakes and rivers, restored wetlands, and created new inexperienced areas.

Chongqing:

  • Financial: Lowered city flood dangers, resulting in decrease insurance coverage premiums and better actual property values. Job creation in inexperienced infrastructure initiatives.
  • Environmental: Decreased floor runoff and soil erosion, enhanced city biodiversity via new parks and inexperienced belts.

Xiamen:

  • Financial: Elevated attractiveness for tourism and funding because of improved coastal and concrete environments. Lengthy-term financial savings in water administration and flood management.
  • Environmental: Protected coastal ecosystems, improved seawater high quality via diminished stormwater air pollution, and created new city wetlands.

China’s sponge metropolis initiative demonstrates a profitable integration of financial advantages and environmental sustainability. By investing in inexperienced infrastructure and modern city planning, cities like Wuhan, Chongqing, and Xiamen not solely improve their resilience to local weather change but additionally create more healthy, extra livable city environments that appeal to funding and enhance the standard of life for residents.

 

Conclusion

China’s dedication to creating sponge cities is clear in its in depth use of inexperienced infrastructure, modern applied sciences, and complete city planning. Wuhan, Chongqing, and Xiamen exemplify the varied approaches and vital achievements in managing city water challenges. These cities function fashions for different areas seeking to improve their resilience and sustainability via the sponge metropolis idea.

Meet my new Junior Developer: ChatGPT


I’ve been enjoying round with ChatGPT for a couple of days now, that I used to be capable of create an account. After all I needed to have it generate some limericks, some poems and responses to emails. However essentially the most burning query on my thoughts is that this: will AI take my job?

I discovered that ChatGPT has numerous syntax and conceptual data about Swift and SwiftUI. So I needed to place it to the take a look at to see how good it might be in fulfilling my requests. I used to be taking over the position of the mentor and ChatGPT was principally a pupil that took my unique request and refined it over a number of iterations till I ended up with a phenomenal easy answer.

For a present venture I wanted a view that shows a circle however I didn’t wish to draw it however as an alternative use a CAShapeLayer and a property that may replace the colour of the form. So I had in my thoughts already an thought how I might do it, now the query was, how would I switch this psychological image from my thoughts to the AI’s “thoughts”.

Me: Create a UIKit view that makes use of CAShapeLayer to show a crammed circle

ChatGPT: Right here is an instance of the right way to create a UIKit view with a crammed circle displayed utilizing a CAShapeLayer in Swift:

import UIKit

class CircleView: UIView {

    override func draw(_ rect: CGRect) {
        let circleLayer = CAShapeLayer()
        let circlePath = UIBezierPath(arcCenter: CGPoint(x: rect.dimension.width / 2, y: rect.dimension.top / 2), radius: rect.dimension.width / 2, startAngle: 0.0, endAngle: CGFloat.pi * 2, clockwise: true)
        circleLayer.path = circlePath.cgPath
        circleLayer.fillColor = UIColor.pink.cgColor
        layer.addSublayer(circleLayer)
    }
}

I instantly observed a number of issues right here.

At this level the end result was in high quality lower than most responses I might see on Stack Overflow. The sport was on!

Me: That is nonsense as a result of it might add a brand new sublayer each time that the draw operate is being known as!

ChatGPT: I apologize for that mistake. Right here is an up to date instance that solely provides the CAShapeLayer as soon as:

import UIKit

class CircleView: UIView {
  
    override init(body: CGRect) {
        tremendous.init(body: body)
        setupCircle()
    }
  
    required init?(coder aDecoder: NSCoder) {
        tremendous.init(coder: aDecoder)
        setupCircle()
    }
  
    non-public func setupCircle() {
        let circleLayer = CAShapeLayer()
        let circlePath = UIBezierPath(arcCenter: CGPoint(x: bounds.dimension.width / 2, y: bounds.dimension.top / 2), radius: bounds.dimension.width / 2, startAngle: 0.0, endAngle: CGFloat.pi * 2, clockwise: true)
        circleLayer.path = circlePath.cgPath
        circleLayer.fillColor = UIColor.pink.cgColor
        layer.addSublayer(circleLayer)
    }
}

It moved the creation of the form layer right into a setup operate which was known as from each inits. The one with body is used from code, the one with decoder is used when loading the view from a XIB or storyboard. This was an sudden side-benefit.

I observed although that this wouldn’t replace the trail when the bounds of the view would change.

Me: It additionally must replace the circle path when the bounds of the view change.

ChatGPT: Right here’s an up to date model of the code that updates the circle path when the bounds of the view change:

import UIKit

class CircleView: UIView {
  
    non-public let circleLayer = CAShapeLayer()
  
    override init(body: CGRect) {
        tremendous.init(body: body)
        setupCircle()
    }
  
    required init?(coder aDecoder: NSCoder) {
        tremendous.init(coder: aDecoder)
        setupCircle()
    }
  
    override func layoutSubviews() {
        tremendous.layoutSubviews()
        updateCirclePath()
    }
  
    non-public func setupCircle() {
        layer.addSublayer(circleLayer)
        updateCirclePath()
    }
  
    non-public func updateCirclePath() {
        let circlePath = UIBezierPath(arcCenter: CGPoint(x: bounds.dimension.width / 2, y: bounds.dimension.top / 2), radius: bounds.dimension.width / 2, startAngle: 0.0, endAngle: CGFloat.pi * 2, clockwise: true)
        circleLayer.path = circlePath.cgPath
        circleLayer.fillColor = UIColor.pink.cgColor
    }
}

Fascinating! It additionally is aware of that layoutSubviews is a superb place to do one thing when format modifications. Subsequent to the setup operate it additionally added an operate that updates the form.

These profitable refinements emboldened me. How about making the fill coloration be configurable from outdoors the view by way of a property? Additionally, whereas is technically appropriate to attract a circle by way of an arc bezier path, that solely provides me an overview.

Me: Substitute the arc bezier path with one for an oval that additionally will get crammed with the UIColor set within the fillColor property.

ChatGPT: Right here’s an up to date model of the code that attracts an oval form as an alternative of a circle and fills it with the colour set within the fillColor property:

import UIKit

class OvalView: UIView {
  
    non-public let ovalLayer = CAShapeLayer()
  
    override init(body: CGRect) {
        tremendous.init(body: body)
        setupOval()
    }
  
    required init?(coder aDecoder: NSCoder) {
        tremendous.init(coder: aDecoder)
        setupOval()
    }
  
    override func layoutSubviews() {
        tremendous.layoutSubviews()
        updateOvalPath()
    }
  
    non-public func setupOval() {
        layer.addSublayer(ovalLayer)
        updateOvalPath()
    }
  
    non-public func updateOvalPath() {
        let ovalPath = UIBezierPath(ovalIn: bounds)
        ovalLayer.path = ovalPath.cgPath
        ovalLayer.fillColor = UIColor.pink.cgColor
    }
}

Hm, it says that it did it, particularly including a fillColor property, however that’s nowhere to be discovered. So I attempted to say it in a greater manner.

Me: Don’t laborious code the fillColor, however make it a property of the view that updates the overLayer when set.

ChatGPT: Right here’s an up to date model of the code the place the fill coloration just isn’t hardcoded and could be set as a property of the view:

import UIKit

class OvalView: UIView {
  
    non-public let ovalLayer = CAShapeLayer()
  
    var fillColor: UIColor = UIColor.pink {
        didSet {
            updateOvalPath()
        }
    }
  
    override init(body: CGRect) {
        tremendous.init(body: body)
        setupOval()
    }
  
    required init?(coder aDecoder: NSCoder) {
        tremendous.init(coder: aDecoder)
        setupOval()
    }
  
    override func layoutSubviews() {
        tremendous.layoutSubviews()
        updateOvalPath()
    }
  
    non-public func setupOval() {
        layer.addSublayer(ovalLayer)
        updateOvalPath()
    }
  
    non-public func updateOvalPath() {
        let ovalPath = UIBezierPath(ovalIn: bounds)
        ovalLayer.path = ovalPath.cgPath
        ovalLayer.fillColor = fillColor.cgColor
    }
}

I had mistyped “overLayer”, however ChatGPT nonetheless understood my request and executed it flawlessly. This was already fairly good, however an professional programmer wouldn’t be glad with this and maintain sprucing the end result till it shines.

Me: Separate the replace of the fill coloration from updating the form path. The trail ought to solely be up to date when the bounds change and the colour solely when the property modifications.

ChatGPT: Right here’s an up to date model of the code the place the fill coloration and the form path are separated, and the form path is simply up to date when the bounds change:

import UIKit

class OvalView: UIView {
  
    non-public let ovalLayer = CAShapeLayer()
  
    var fillColor: UIColor = UIColor.pink {
        didSet {
            ovalLayer.fillColor = fillColor.cgColor
        }
    }
  
    override init(body: CGRect) {
        tremendous.init(body: body)
        setupOval()
    }
  
    required init?(coder aDecoder: NSCoder) {
        tremendous.init(coder: aDecoder)
        setupOval()
    }
  
    override func layoutSubviews() {
        tremendous.layoutSubviews()
        updateOvalPath()
    }
  
    non-public func setupOval() {
        layer.addSublayer(ovalLayer)
        updateOvalPath()
    }
  
    non-public func updateOvalPath() {
        let ovalPath = UIBezierPath(ovalIn: bounds)
        ovalLayer.path = ovalPath.cgPath
    }
}

Ha! I noticed one other mistake! This manner the fill coloration wouldn’t stay the default and solely be up to date if the property is modified.

Me: That is lacking the preliminary setting of the fill coloration.

ChatGPT: Right here’s an up to date model of the code that units the preliminary worth of the fillColor property:

import UIKit

class OvalView: UIView {
  
    non-public let ovalLayer = CAShapeLayer()
  
    var fillColor: UIColor = UIColor.pink {
        didSet {
            ovalLayer.fillColor = fillColor.cgColor
        }
    }
  
    override init(body: CGRect) {
        tremendous.init(body: body)
        setupOval()
    }
  
    required init?(coder aDecoder: NSCoder) {
        tremendous.init(coder: aDecoder)
        setupOval()
    }
  
    override func layoutSubviews() {
        tremendous.layoutSubviews()
        updateOvalPath()
    }
  
    non-public func setupOval() {
        layer.addSublayer(ovalLayer)
        updateOvalPath()
        ovalLayer.fillColor = fillColor.cgColor
    }
  
    non-public func updateOvalPath() {
        let ovalPath = UIBezierPath(ovalIn: bounds)
        ovalLayer.path = ovalPath.cgPath
    }
}

That’s appropriate. Now we’re had been at a degree the place I used to be now not so sure as a result of I don’t create CAShapeLayers day-after-day. We have to set the form layers body someway, don’t we?

Me: I consider that this code is lacking an replace for the body of the sublayer.

ChatGPT: Right here’s an up to date model of the code that units the body of the ovalLayer sublayer:

import UIKit

class OvalView: UIView {
  
    non-public let ovalLayer = CAShapeLayer()
  
    var fillColor: UIColor = UIColor.pink {
        didSet {
            ovalLayer.fillColor = fillColor.cgColor
        }
    }
  
    override init(body: CGRect) {
        tremendous.init(body: body)
        setupOval()
    }
  
    required init?(coder aDecoder: NSCoder) {
        tremendous.init(coder: aDecoder)
        setupOval()
    }
  
    override func layoutSubviews() {
        tremendous.layoutSubviews()
        updateOvalPath()
    }
  
    non-public func setupOval() {
        layer.addSublayer(ovalLayer)
        updateOvalPath()
        ovalLayer.fillColor = fillColor.cgColor
    }
  
    non-public func updateOvalPath() {
        ovalLayer.body = bounds
        let ovalPath = UIBezierPath(ovalIn: bounds)
        ovalLayer.path = ovalPath.cgPath
    }
}

Yeah that appears higher, if we set the body each time layoutSubviews is known as then that ought to work. At this level I had a thought that I needed to Senior-Programmer’splain to the poor and crushed AI…

Me: layoutSubviews might be the flawed place to replace the layer body and oval path as a result of that belongs to the view format circulation, however there’s a separate format circulation for layers. put it there.

ChatGPT, unflinchingly: Right here’s an up to date model of the code the place the body of the ovalLayer and the oval path are up to date within the layoutSublayers operate as an alternative of layoutSubviews:

import UIKit

class OvalView: UIView {
  
    non-public let ovalLayer = CAShapeLayer()
  
    var fillColor: UIColor = UIColor.pink {
        didSet {
            ovalLayer.fillColor = fillColor.cgColor
        }
    }
  
    override init(body: CGRect) {
        tremendous.init(body: body)
        setupOval()
    }
  
    required init?(coder aDecoder: NSCoder) {
        tremendous.init(coder: aDecoder)
        setupOval()
    }
  
    override func layoutSublayers(of layer: CALayer) {
        tremendous.layoutSublayers(of: layer)
        updateOvalPath()
    }
  
    non-public func setupOval() {
        layer.addSublayer(ovalLayer)
        ovalLayer.fillColor = fillColor.cgColor
    }
  
    non-public func updateOvalPath() {
        ovalLayer.body = bounds
        let ovalPath = UIBezierPath(ovalIn: bounds)
        ovalLayer.path = ovalPath.cgPath
    }
}

Impressed, once more! It is aware of about layoutSublayers.

Then I assumed some extra. I used to be apprehensive concerning the circle not being correctly up to date in UIView animations. In the event you set a layer body in layoutSubviews then the contents jumps to the brand new location and dimension with out animation, as a result of UIView properties are implicitly animated, however layer properties will not be.

And why do we’d like the essential CALayer in any respect, after we could make the form layer be the view’s major layer? Ha! Now I knew the right way to stump the AI!

Me: It might even be higher to make the form layer the principle layer of the view as an alternative of establishing a separate sublayer for it.

ChatGPT: Right here’s an up to date model of the code the place the CAShapeLayer is ready as the principle layer of the OvalView as an alternative of a separate sublayer:

import UIKit

class OvalView: UIView {
  
    var fillColor: UIColor = UIColor.pink {
        didSet {
            layer.fillColor = fillColor.cgColor
        }
    }
  
    override init(body: CGRect) {
        tremendous.init(body: body)
        setupOval()
    }
  
    required init?(coder aDecoder: NSCoder) {
        tremendous.init(coder: aDecoder)
        setupOval()
    }
  
    override func layoutSublayers(of layer: CALayer) {
        tremendous.layoutSublayers(of: layer)
        updateOvalPath()
    }
  
    non-public func setupOval() {
        layer.fillColor = fillColor.cgColor
        layer.masksToBounds = true
    }
  
    non-public func updateOvalPath() {
        layer.body = bounds
        layer.cornerRadius = bounds.width / 2
    }
}

Gotcha! Gone is the form layer solely to get replaced by setting the layer’s cornerRadius to half of the width of the view. And an expertly inserted masksToBounds makes this work.

Good attempt, however let me let you know what’s flawed with this:

Me: That doesn’t work when the view just isn’t sq.. I need you to create the layer for the view by way of returning CAShapeLayer because the layerClass of the view.

ChatGPT blushing: Inner server error

Was it one thing I stated? No, in all probability not. ChatGPT’s servers get overloaded steadily. After I pressed the “Regenerate Response” button I acquired a correct response:

ChatGPT: Right here’s an up to date model of the code the place CAShapeLayer is returned because the layer class for the OvalView:

import UIKit

class OvalView: UIView {
  
    var fillColor: UIColor = UIColor.pink {
        didSet {
            layer.fillColor = fillColor.cgColor
        }
    }
  
    override class var layerClass: AnyClass {
        return CAShapeLayer.self
    }
  
    override func layoutSubviews() {
        tremendous.layoutSubviews()
        updateOvalPath()
    }
  
    non-public func updateOvalPath() {
        let ovalPath = UIBezierPath(ovalIn: bounds)
        (layer as! CAShapeLayer).path = ovalPath.cgPath
        layer.fillColor = fillColor.cgColor
    }
}

Good! We’re again in enterprise. I pasted this code into Xcode solely to discover a syntax error I had missed from solely glancing at it.

Me: That may produce a syntax error as a result of the layer within the fillColor setter just isn’t recognized to be a CAShapeLayer to the compiler. You’ll want to solid it to 1.

ChatGPT: Right here’s an up to date model of the code that casts the layer property to a CAShapeLayer within the fill coloration setter:

import UIKit

class OvalView: UIView {
  
    var fillColor: UIColor = UIColor.pink {
        didSet {
            (layer as! CAShapeLayer).fillColor = fillColor.cgColor
        }
    }
  
    override class var layerClass: AnyClass {
        return CAShapeLayer.self
    }
  
    override func layoutSubviews() {
        tremendous.layoutSubviews()
        updateOvalPath()
    }
  
    non-public func updateOvalPath() {
        let ovalPath = UIBezierPath(ovalIn: bounds)
        (layer as! CAShapeLayer).path = ovalPath.cgPath
        (layer as! CAShapeLayer).fillColor = fillColor.cgColor
    }
}

Technically appropriate now, however nonetheless in want of polish.

Me: Refactor these `(layer as! CAShapeLayer)` right into a property

ChatGPT: Right here’s an up to date model of the code that makes use of a computed property to keep away from casting layer to CAShapeLayer a number of occasions:

import UIKit

class OvalView: UIView {
  
    var fillColor: UIColor = UIColor.pink {
        didSet {
            shapeLayer.fillColor = fillColor.cgColor
        }
    }
  
    non-public var shapeLayer: CAShapeLayer {
        return layer as! CAShapeLayer
    }
  
    override class var layerClass: AnyClass {
        return CAShapeLayer.self
    }
  
    override func layoutSubviews() {
        tremendous.layoutSubviews()
        updateOvalPath()
    }
  
    non-public func updateOvalPath() {
        let ovalPath = UIBezierPath(ovalIn: bounds)
        shapeLayer.path = ovalPath.cgPath
        shapeLayer.fillColor = fillColor.cgColor
    }
}

Ah, now good… we now have a brand new shapeLayer property that power casts the layer property right into a CAShapeLayer. I put the code into my venture, it compiled with out concern and displayed the pink circles I lusted for as requested.

Me: Thanks, that’s the most effective reply for my preliminary query.

ChatGPT: You’re welcome! I’m glad I might assist. When you have any extra questions, be happy to ask!

Analysis

Much like tales the place ChatGPT sat college exams with dangerous however passing grades it additionally performs across the junior degree for software program builders. It is ready to produce the right end result if an skilled developer has the persistence and abilities to guided it over a number of iterations.

It does require numerous hand-holding. Inputting your necessities by way of chat requires that you understand how to specific all these ideas in a manner that the AI can parse. I do have numerous expertise coaching Junior Engineers and a decade of programming UIKit taught me the right way to put issues that they are often understood.

I might have spent a fraction of the time if I had simply coded this view like I envisioned it from the beginning. However the level of this alternate is to not show that I’m higher at programming than ChatGPT. It’s to show that Chat GPT is extra succesful than discovering pattern code on the Web. It’s not even net search on sterioids. It’s clearly far more than that as a result of it may possibly perceive ideas and synthesize a end result from that together with making refinements that an professional consumer is guiding it to do.

This can be a first knowledge level. There was none earlier than it as a result of public entry to ChatGPT was solely activated a couple of days in the past. So it’s wonderful that one thing is feasible immediately that wasn’t doable earlier than.

The Future

Within the least I would really like ChatGPT constructed into Xcode: as a solution to write new code. And I don’t imply dictating code, however talking in ideas like proven above. How about having this in Xcode? “Hello Xcode, I want a brand new view that does this and that”. If that had been extra streamlined and quicker that may instantly be helpful. Particularly as a result of it additionally improves your individual studying curve. Having to speak ideas makes you your self perceive them higher. What you educate, you be taught!

I can see a future the place ChatGPT turns into increasingly productive to the eventual diploma of a Junior Developer. With this I imply anyone who can conceptional execute the itty gritty which you, as a Senior Developer, give it path in a basic imaginative and prescient you preserve. Just like the captain of a ship who sees the ice bergs and is aware of the place the ship ought to be going, and ChatGPT is all the crew.

Then the step after that – within the far future – is to mix ChatGPT with one thing that may perceive sketches and mockups and purposeful descriptions of apps. That is the place the Senior Developer brains are and can nonetheless be wanted for a very long time. To translate the consumer’s needs and designs into software program ideas.

We haven’t touched on the query what is going to occur if someday all Juniors could be changed by AI. If there are not any new Juniors then there shall be no one to mature into Seniors in some unspecified time in the future. Possibly our coaching must change to deal with mastering conceptionalizing and excessive degree idea synthesis and leaving the mundane creation of code to AI as an alternative.



Additionally revealed on Medium.


Classes: Instruments

Styx Stealer Creator’s OPSEC Fail Leaks Consumer Checklist and Revenue Particulars

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Aug 21, 2024Ravie LakshmananCyber Espionage / Risk Intelligence

Styx Stealer Creator’s OPSEC Fail Leaks Consumer Checklist and Revenue Particulars

In what’s a case of an operational safety (OPSEC) lapse, the operator behind a brand new data stealer referred to as Styx Stealer leaked knowledge from their very own laptop, together with particulars associated to the purchasers, revenue data, nicknames, cellphone numbers, and e mail addresses.

Styx Stealer, a spinoff of the Phemedrone Stealer, is able to stealing browser knowledge, instantaneous messenger periods from Telegram and Discord, and cryptocurrency pockets data, cybersecurity firm Test Level stated in an evaluation. It first emerged in April 2024.

“Styx Stealer is almost certainly based mostly on the supply code of an previous model of Phemedrone Stealer, which lacks some options present in newer variations comparable to sending experiences to Telegram, report encryption, and extra,” the corporate famous.

Cybersecurity

“Nonetheless, the creator of Styx Stealer added some new options: auto-start, clipboard monitor and crypto-clipper, extra sandbox evasion, and anti-analysis strategies, and re-implemented sending knowledge to Telegram.”

Marketed for $75 a month (or $230 for 3 months or $350 for a lifetime subscription) on a devoted web site (“styxcrypter[.]com”), licenses for the malware requires potential patrons to succeed in out to a Telegram account (@styxencode). It is linked to a Turkey-based menace actor who goes by the alias STY1X on cybercrime boards.

Test Level stated it was in a position to unearth connections between STY1X and a March 2024 spam marketing campaign distributing Agent Tesla malware that focused numerous sectors throughout China, India, the Philippines, and the U.A.E. The Agent Tesla exercise has been attired to a menace actor named Fucosreal, whose approximate location is in Nigeria.

This was made attainable owing to the truth that STY1X debugged the stealer on their very own machine utilizing a Telegram bot token supplied by Fucosreal. This deadly error allowed the cybersecurity firm to establish as many as 54 prospects and eight cryptocurrency wallets, probably belonging to STY1X, which can be stated to have been used to obtain the funds.

“This marketing campaign was notable for its use of the Telegram Bot API for knowledge exfiltration, leveraging Telegram’s infrastructure as an alternative of conventional command-and-control (C&C) servers, that are extra simply detectable and blockable,” Test Level famous.

“Nonetheless, this technique has a big flaw: every malware pattern should comprise a bot token for authentication. Decrypting the malware to extract this token gives entry to all knowledge despatched by way of the bot, exposing the recipient account.”

Cybersecurity

The disclosure comes amid the emergence of latest stealer malware strains comparable to Ailurophile, Banshee Stealer, and QWERTY, at the same time as well-known stealers like RedLine are being utilized in phishing assaults focusing on Vietnamese oil and fuel, industrial, electrical and HVAC producers, paint, chemical, and lodge industries.

“RedLine is a widely known stealer that targets login credentials, bank card particulars, browser historical past, and even cryptocurrency wallets,” Broadcom-owned Symantec stated. “It’s actively utilized by a number of teams and people all over the world.”

“As soon as put in, it collects knowledge from the sufferer’s laptop and sends it to a distant server or Telegram channel managed by the attackers.”

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Disney backpedals in effort to dismiss wrongful demise case citing streaming service settlement

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In context: Disney raised eyebrows final week when its attorneys moved to dismiss a wrongful demise lawsuit as a result of the plaintiff agreed to arbitration when he signed up for a Disney+ subscription on his PlayStation. The authorized wrangling sparked blowback on social media and throughout the Disney neighborhood.

On Monday, Disney withdrew its arbitration request to settle a wrongful-death lawsuit out of court docket, permitting the case involving a lady who died from a extreme allergic response at a Disney World restaurant to proceed to a jury trial. The New York Occasions experiences that the choice got here after public backlash over Disney’s try to implement an arbitration clause in a streaming tv phrases of service settlement.

Jeffrey Piccolo filed the lawsuit on behalf of his spouse’s property. Kanokporn Tangsuan, a household medication specialist from Lengthy Island, died from a extreme allergic response after consuming at a restaurant at Disney World in October. The lawsuit claims that Dr. Tangsuan had knowledgeable their server that she was allergic to nuts and dairy. The worker assured her that the dishes she ordered had been allergen-free. Nevertheless, she suffered a deadly allergic response shortly after consuming.

Initially, Disney argued that Piccolo had agreed to arbitration when he signed up for a free trial of Disney+, thereby forfeiting his proper to sue. Nevertheless, this authorized stance was met with criticism when it grew to become public. Critics highlighted the doubtful nature of tying a wrongful demise declare to a streaming service settlement. Disney additionally asserted that Raglan Highway was independently owned and operated, suggesting that the corporate bore no direct accountability for the incident.

Piccolo is searching for $50,000 in damages, the minimal required to file in Florida Circuit Court docket. Nevertheless, his authorized staff acknowledged {that a} jury might award a lot increased punitive damages. Regardless of Disney’s declare that it acted solely as a “landlord” to Raglan Highway, the corporate acknowledged that forcing arbitration might extend an already troublesome course of for Mr. Piccolo.

“With such distinctive circumstances as those on this case, we consider this case warrants a delicate method to expedite a decision for the household who’ve skilled such a painful loss,” mentioned Josh D’Amaro, Chairman of Disney Parks, in an announcement. “As such, we have determined to waive our proper to arbitration and have the matter proceed in court docket.”

Authorized consultants famous that it’s uncommon for an organization to withdraw a request for arbitration, suggesting that public notion might need influenced Disney’s resolution somewhat than authorized technique. Matt Adler, an arbitration lawyer not concerned within the case, speculated that Disney determined that the hurt from the unfavourable public response outweighed any monetary loss it will assume.

The case has additionally sparked a broader dialog in regards to the prevalence of arbitration clauses in service agreements and the dangers they pose in company negligence instances. Adler identified that the majority customers are topic to a number of arbitration clauses within the varied authorized agreements they enter into, together with mobile contracts, brokerage agreements, and the phrases and circumstances for web sites and different companies. Piccolo’s lawyer expressed concern that Disney’s preliminary try to pressure arbitration might set a harmful precedent for others injured by company negligence.

Picture credit score: Frank Phillips