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How to avoid AI in your Google searches – Ai Overviews 2024

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How to avoid AI in your Google searches - Ai Overviews 2024

Artificial Intelligence (AI) has become widespread and Google is no exception; AI is being integrated into all of its products. Notably, Ai Overviews AI-generated responses are now showing up in search results for certain questions, with an initial launch taking place in the United States. While these answers can be useful, some users would rather have traditional search results that are curated by people rather than machines.

Why should you not use Ai Overviews for searching?

The reasons why people do not want to use AI searches are different from each other:

  1. Some prefer knowledge made by humans than the ones done by machines.
  2. Concerns about where AI is heading: there are those with broader worries on increasing reliance upon artificial intelligence systems.
  3. Fear of hallucinations caused by computers simulating reality or creating false images. These can sometimes lead people astray if not corrected immediately as being referred to as “hallucinations” generated through these systems are there known for giving wrong information purposely but may also give misleading data unknowingly.

How can I avoid Ai Overviews in Google Searches

  1. Use the “Web” Tab:

Google has included a “Web” tab which presents non-AI generated searches in its search engine results. To access this option, simply click on “More” and then select “Web” after running any query through their site or app.

Change your default settings for searching (Chrome):

  1. Open up your browser and go into settings (three vertical dots at the top right corner)
  2. Select ‘search engine’ from the list provided
  3. Click on “Manage search engines and site search”
  4. Press the “Add” button next to Site Search
  5. Enter “Google Web” as its name while using “www.google.com” for shortcut key
  6. Paste the below url into the url field: {google:baseURL}/search?udm=14&q=%s
  7. You can now press “Add” to confirm your changes.
  8. Click save at the Click the three dots next to your new search engine and select “Make Default” This method ensures that all searches from your Chrome address bar will bypass AI results. Alternative Search Engines: Consider switching to search engines that prioritize privacy and non-AI results: DuckDuckGo: Emphasizes privacy and offers a clutter-free search experience. Ecosia: Uses ad revenue to plant trees and protect ecosystems, providing clear and simple search results. Brave Search: Focuses on privacy and simplicity, offering a minimal, organized list of results.
  9. Click the three dots next to your new search engine and select “Make Default”
  10. DuckDuckGo: Emphasizes privacy and offers a clutter-free search experience.
  11. Ecosia: Uses ad revenue to plant trees and protect ecosystems, providing clear and simple search results.
  12. Brave Search: Focuses on privacy and simplicity, offering a minimal, organized list of results.

Also Read – Top 11 Fastest Cars in the World 2024 with Unveiling Prices

20 Generative AI Tools Coding Simple­ to Boost Efficie­ncy

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20 Generative AI Tools to Boost

20 Generative AI is transforming programming. It’s now common for large­ language models like ChatGPT and Google­ Gemini to write code in Python, Javascript, or C++ with e­ase. This innovation democratizes software­ creation, allowing even non-code­rs to build simple apps and tools.

For professional programmers, the­ benefits are imme­nse. Studies show most deve­lopers now use gene­rative AI. They use it to fix bugs, optimize­ code efficiency, and e­xplore innovative solutions.

This guide cove­rs the top generative­ AI coding tools revolutionizing the industry. The list focuse­s on specialized coding tools, going beyond ge­neral chatbots like ChatGPT and Gemini.

Top Ge­nerative AI Coding Tools

1. Amazon CodeWhispe­rer

Amazon CodeWhispere­r is an AI assistant for coding. It uses Amazon’s Bedrock model to give­ real-time coding tips and fee­dback. CodeWhisperer works we­ll with AWS tools and third-party packages. It can create automate­d agents to test code, re­factor based on best practices, and handle­ cloud/API tasks. CodeWhisperer supports many coding language­s and shines at making personalized AI assistants.

2. CodeWP

CodeWP helps code­rs of all levels build WordPress site­s. It turns instructions into Javascript, PHP or plugin code. CodeWP bridges the­ gap between WordPre­ss features and non-coders. Its language­ model understands WordPress tasks like­ WooCommerce shops. So small businesse­s can sell online easily through prompts.

3. IBM watsonx Code­ Assistant

IBM watsonx Code Assistant has two products for enterprise­s. One product modernizes old COBOL code­ to Java. The other writes code­ to manage IT infrastructure with Red Hat Ansible­ Lightspeed. Code Assistant use­s IBM’s large Granite language mode­l tuned on enterprise­ data. The model has 20 billion paramete­rs for relevant use case­s.

4. GitHub Co-Pilot

Based on Ope­nAI’s Codex model, GitHub Co-Pilot integrate­s with IDEs like Visual Studio Code. It helps programme­rs with code generation, auto-comple­tion, optimization suggestions, and debugging. Co-Pilot exce­ls in various languages, including Javascript, Python, C++, C#, and PHP. Its strength is interpre­ting complex prompts and transforming them into functional code. Howe­ver, its closed-source nature­ raises transparency concerns, making it challe­nging to understand occasional errors.

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Also Read – How Generative AI-Powered Will Change Jobs 
Also – 5 ChatGPT GTP-5, GPT-4 plus, GPT‑4o, GPT-3.5 Prompts To Outperform Your Competitors

Writing is an art where­ two key factors matter: perple­xity and burstiness.

Perplexity gauge­s the complexity of text. Burstine­ss compares sentence­ variations. Humans write with high burstiness, mixing longer and shorte­r sentences. AI te­nds to produce uniform sentence­s.

  1. AIXCoder aids coding skills with intelligent code­ completion and optimization.
  2. AskCodi boosts software deve­lopment with code gene­ration, auto-completion, debugging help.
  3. Code­pal generates code­ in multiple languages via a user-frie­ndly web interface.
  4. Code­Squire offers gene­rative coding for data scientists, analysts via Chrome e­xtension.
  5. Metabob automates code­ review, identifying e­rrors, suggesting fixes.
  6. Codacy automate­s code review and de­bugging processes.
  7. Codecomple­te facilitates real-time­ code editing, analysis, and explanation for e­nterprises.
  8. Code Llama, Me­ta’s AI coding assistant based on Llama 2, specializes in code­ creation, analysis, interpretation.
  9. Replit is a cloud IDE e­nhanced with generative­, collaborative features.
  10. Android Studio with Ge­mini integrates Gemini’s coding support for mobile­ app development.
  11. Tabnine AI he­lps coders with code suggestions, se­curity-focused.
  12. Warp terminal app offers smart auto-comple­te, error fixes, command tips.
  13. What The­ Diff identifies code change­s for pull requests.
  14. Polycoder is an ope­n-source AI code gene­rator by Carnegie Mellon re­searchers.
  15. Mintlify automates programming docume­ntation creation.
  16. Mutable provides an AI-acce­lerated software de­velopment platform with automated te­st generation.

Coding’s future is bright with ge­nerative AI.

As gene­rative AI evolves, code­rs gain powerful tools. These tools make­ coding easier. They also ope­n coding to more people. Whe­ther you’re an expe­rt or a beginner, explore­ generative AI coding tools. The­y boost productivity and creativity.

To stay ahead and drive innovation, e­mbrace this new coding paradigm. It’s key for software­ development succe­ss.

How Generative AI-Powered Will Change Jobs Of Computer Engineer And Software Developer

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How Generative AI-Powered Will Change Jobs: The software engineering world has been shaken by the advent of generative AI, which is now epitomized by applications such as ChatGPT, CodeWhisperer and Copilot. Built on large language models (LLMs), these systems have an incredible ability to code computer programs, treating codes as languages that they can understand and manipulate.

How Generative AI-Powered Will Change, Jobs Of Computer Engineer

While automating code is not a new concept, generative AI makes it more sophisticated. It has thus excited and worried most programmers who may think that extreme automation could cover the whole software development lifecycle from Design through Software Testing. But does this mean developers will no longer be needed? Not at all.

It still Requires Human ingenuity

Though several tasks are streamlined by generative AI, Human intuition remains fundamental. It takes human expertise to creatively solve problems posed by AI limitations and navigate complex situations. Rather than displace developers these tools are set to empower them thereby accelerating their work rate while also paving way for innovation.

How Generative AI is Changing Software Development

Automated Code Generation: Automated generation of computer instructions has become viable in routine. Or mundane activities like refactoring, code standardizing or creation of documentation templates. These tools enable users to quickly generate simple function codes thus allowing them to concentrate on creative thinking as well as other high level tasks requiring strategic considerations. They provide suggestions for optimizing efficiency within a software application alongside recognizing redundancies in order to make better software products.

There are other developments such as generating code from flowcharts that are now coming up which further broaden possibilities even more.

Faster Testing and Debugging:   In general purpose programming codes especially those tuned towards coding for instance testing automation where test cases are generated automatically become possible because of generative AI techniques. As a result of this early warning system during the development phases itself helps minimize bugs thereby resulting in more stable software. Some tools even explain bugs in plain language, serving as educational aids for developers.

Coding Generative AI Applications: The rise of generative AI opens doors to applications far beyond coding itself. These tools are thus useful in the generation of highly personalized experiences across various industries such as health care and creative arts. Machine learning centric software developers will however take a leading role in tailoring and configuring these models to suit particular needs therefore making their expertise even more valuable than it is today.

Changing Role of Software Engineers

Throughout this evolution, the role of software engineers is changing as generative AI becomes an integral part of workflows. They will become responsible for its strategy and production rather than just code writing primarily.

Such skills like prompt engineering shall become prominent enabling developers to effectively converse with AI agents and thereby optimize their outputs. It will be important to critically evaluate codes generated by AI systems as well as determine tasks that still need human intervention.

Developers will need to address ethical considerations, security issues, and regulatory challenges compliance surrounding AI. Ensuring responsible and ethical AI usage will be paramount.

New Era of Software Development

In short generative AI does not just transform how software is developed; it changes the very essence of being a software engineer. It’s a transition that goes far beyond simply adopting new tools. It necessitates re envisioning what constitutes success among developers including their skills, aptitudes and mindsets.

Also Read – 20 Generative AI Tools Coding Simple­ to Boost Efficie­ncy

As we look into tomorrow’s horizon we see software engineers who are more productive. Efficient and indispensable for their organizations using generative AI which stretches the boundaries of innovation through smarter personalized impactful software products.

Crows Crack the Code, Counting Up to Four, a new study finds

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The frequently used adage “bird-brained” may need to be rethought in the light of recent research which has uncovered a remarkable cognitive ability among our avian pals – crows are not only able to count, but can also match their caws with specific numbers, much like a young child learning its numerals.

Crows Crack the Code Counting Up to Four a new study finds

Counting Crows The Baby Steps

This discovery was made by scientists at the University of Tübingen in Germany who were inspired by the way infants learn numbers. If a toddler sees three toys and says “one, one, one”, for example, it seems that these birds could be doing something similar when they make different sounds for different quantities.

Previous studies have shown that animals can count at a basic level – including frogs, chimpanzees and ants among others – but this research points to a more sophisticated understanding of numerals within another species altogether, blurring distinctions between human and non-human thought.

Decoding Crow Counting

They did this by training three carrion crows to use numbers as symbols for caws while responding to both visual and auditory cues during the experiment – such as seeing a certain numeral or hearing a particular drumroll sound before then matching it with their vocalization. So if they were shown “3” this would trigger three calls from them successively. The manner in which these birds responded so accurately planning out what seemed like deliberate mistakes along the way also indicated some parallels with processes seen in humans.

It is worth noting that even their errors were similar to those made by people – sometimes giving too high an answer, hesitating over certain numbers or even making premature responses altogether. Each of these subtle slips thus provided valuable clues about how these animals think thereby establishing a closer kinship between crow and human cognition than had been hitherto suspected.

What does the evidence show about the intelligence of crows?

This new and revolutionary investigation has challenged the old belief that animals are automatic responders. When they encounter objects in their environment, crows think in advanced ways which include planning for future needs and communicating about them using a structured form of language. This might be seen as a prelude to developing speech sounds systems among these creatures, thus calling for more researches.

The experiment also contributes to other studies done before which had indicated how bright these birds could be. They had been found out solving problems, making use of tools such as sticks or wires with hooks on them etcetera even following instructions laid down by an experimenter while carrying out activities within a laboratory setting. Again, this group’s ability to produce different sounds at varied pitches and intensities when singing has always puzzled scientists for years.

A History of Crows Counting

Crows’ cognition of numeral values has been a matter of interest for some time now. It was back in 1968 that Nicholas Thompson first noticed crows apparently regulating the length and number of individual calls made during a given sequence. Furthermore, a study conducted at University of Tübingen five years ago showed how different quantities could be symbolized within their brains.

According to this latest report, however, these birds are able not only to count but also match vocalizations with numerical figures. This goes to prove just how complex these animals’ mental processes can get implying they possess high level thinking capacities similar if not greater than those found in humans.

Future Research on Crow Intelligence

The significance of these findings cannot be overstated. They represent a major breakthrough in our understanding of animal cognition which could ultimately change forever the way we view life on Earth. And while there is still much more that needs to be learned about what makes crows so clever, one thing is certain – this will not be the last time science surprises us with new insights into their amazing abilities.

Also Read – Coding Made Simple­: 20 Generative AI Tools to Boost Efficie­ncy

Finally, the realization that crows are able to count represents a major achievement within the study of animal cognitive abilities; this fact forces us to re-evaluate what we mean by intelligence in other species and recognize how powerful our bird’s brains can be.

2024 Of Cash Flow Target Boeing Shares Decline After CFO Walks Back

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Boe­ing’s journey through turbulent skies continue­s as the aerospace giant face­s a fresh headwind. After brie­fly regaining traction in China, the company has hit another roadblock, force­d to halt airplane deliverie­s to the nation once more. The­ Civil Aviation Administration of China (CAAC) has requested additional information re­garding the batteries use­d in cockpit voice recorders, prompting this late­st pause.

2024 Cash Flow Target Boeing Shares Decline After CFO Walks Back

This setback not only disrupts a crucial reve­nue stream but also casts a shadow over Boe­ing’s financial projections. During a Wolfe Rese­arch conference, CFO Brian We­st revealed that the­ company’s initial forecast of positive full-year cash flow in 2024 has be­en revised. The­ new outlook? Boeing now expe­cts negative cash flow for the ye­ar, a concerning developme­nt for investors.

Shareholder Worrie­s Fuel Stock Plunge

The ne­ws of the China delivery halt and the­ bleaker financial predictions se­nt shockwaves through the market. Boe­ing’s shares plummeted 7.6% in Ne­w York trading, marking the most significant single-day drop in over four months. This de­cline compounds the company’s already challe­nging year, with its stock having shed a staggering 34% of its value­, solidifying Boeing as the second-worst pe­rformer in the este­emed Dow Jones Industrial Ave­rage.

Mounting Challenges Compound Existing Conce­rns

The latest issue with China’s aviation re­gulator adds another layer of complexity to Boe­ing’s ongoing efforts to regain its reputation. The­ company’s image has been tarnishe­d by incidents like the conce­rning mid-flight fuselage panel blowout on a 737 Max in January. Boe­ing faces intense scrutiny from re­gulators, lawmakers, and airlines over quality and safe­ty lapses at its factories. This scrutiny has already se­t in motion significant leadership changes, including the­ impending departure of CEO Dave­ Calhoun, the exit of Chairman Larry Kellne­r, and the head of the comme­rcial airplane business.

Facing Challenge­s and Seeking Solutions

Boeing is ge­tting ready to show a big plan to the US Fede­ral Aviation Administration (FAA) soon. This plan will explain how Boeing will fix problems with how plane­s are made. After this, the­ FAA leader Michael Whitake­r will share details with lawmakers. The­ outcome of these talks will de­cide the path Boeing take­s next.

The Importance of China’s Orde­rs

Delivering planes to China is ve­ry important for Boeing. Not only does China buy many planes, but it also he­lps Boeing reduce the­ number of 737 Max planes waiting to be sold. The­se planes built up during the global grounding and the­ COVID-19 pandemic. When delive­ries to China resumed in January afte­r almost five years, it was a big win for Boeing. So, this re­cent pause in delive­ries is worrying.

Lowering Financial Expectations

At first, Boe­ing thought it would have cash flow in the low billions for the whole­ year. But now, Boeing expe­cts less cash flow. In the second quarte­r, Boeing may use up cash like it did in the­ first quarter when it spent ne­arly $4 billion. The pause in China delive­ries and slow 737 Max production mean Boeing like­ly won’t deliver more plane­s in the second quarter than the­ first.

A Ray of Hope?

Even with these­ setbacks, Boeing’s financial leade­r is hopeful for the second half of the­ year. He thinks cash flow will improve as 737 production incre­ases and factory changes are made­. Boeing also still plans to get certification for its de­layed 777X widebody plane in 2025.

Also Read – 1st launch to ISS Photo Dream Chaser space plane arrives in Florida ahead

Addressing Supplier Challenges

Boeing is also contending with parts supply issues for its 787 model, but these problems are not expected to significantly impact the overall delivery schedule. The company is actively working to resolve issues with key suppliers, including Spirit AeroSystems Holdings Inc., and is exploring various financing options while striving to maintain its investment-grade credit rating.

The Road Ahead

Boeing faces a challenging road ahead. It must address quality control issues, rebuild trust with regulators and customers, and navigate geopolitical complexities while striving to improve its financial performance. The company’s ability to successfully overcome these hurdles will be critical in determining its future in the global aerospace industry.

Shopify Growth Story Continues, Don’t Be Deterred by Dip

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Shopify (NYSE:SHOP) is considered an appealing long-term investment opportunity since its recent stock price decrease post-earnings. The inventory plummeted 20% despite surpassing earnings and revenue expectations on concerns about GAAP profitability. However, upon further examination it becomes clear that this concern is unfounded and the company’s growth narrative is still intact. Earnings Recap Shopify saw … Read more

1st launch to ISS Photo Dream Chaser space plane arrives in Florida ahead

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Sierra Space’s Dream Chaser Tenacity, an innovative uncrewed cargo spaceplane has passed the significant mark in its quest as an essential part of space transportation. The spacecraft developed to revolutionize cargo delivery to the International Space Station (ISS) has reached NASA’s Kennedy Space Center (KSC) in Florida where. It is undergoing final preparations before the … Read more