Walmart's Back-to-School Sale is in full swing, giving you a chance to score hundreds of products at some of the lowest prices of the year. You'll find more than just pencils and notebooks discounted, as a handful of gaming laptops, tablets, earbuds, and other tech gadgets are included in the event. Many are also eligible for same-day pickup, while all are eligible for Walmart's free 30-day returns policy. See all Walmart tech deals Continue Reading at GameSpot

Marvel Snap's latest season adds more of the Young Avengers to the game. With more cards, locations, and characters being added to Marvel Snap, the developers continue to try to make timely additions. Coming from the success of the recent Maximum Effort season with Deadpool being the main focus, the Young Avengers are next in line.

This week I decided to enter the Polymars X Scorespace GameJam, and the outcome was crazyy. Feel free to check it out in the video below

Image: Bungie via Polygon Here are some good PvE and PvP options for holiday Void combat bow Continue reading

For the average investor, the headlines don't look good right now. Stock markets are in turmoil, and the threat of a recession looms. And during this sort of economic volatility, our natural instincts can lead us astray.When making investment decisions, its important to have an objective, balanced perspective. Information bias occurs when our thinking becomes skewed due to how we filter and interpret data. Left unchecked, information bias can lead to poor financial decisions and missed opportunities, so all investors should be vigilant about it. Here are tips on how you, as an investor, can make clear-headed decisions as you consider your personal investment strategies.Information bias leads to poor investmentsOur natural tendency is to seek out information that confirms our preexisting beliefs. This tendency is known as confirmation bias, and it can spell disaster for investors. As John Kiernan, managing editor at WalletHub, puts it, many investors choose to seek out and interpret only information that reinforces their preexisting beliefs, causing them to miss opportunities and fail to adapt to changing market conditions.For example, if you think the tech sector is poised for growth, youll be more likely to read bullish analyses about tech stocks. This confirmation bias causes you to overweight data that supports your thesis and disregard contradicting evidence.Similarly, Kiernan explains that recency bias can influence investors to prioritize more recent data when making a decision, and ignore historical trendsespecially if it inconveniences them. This can lead to impulsive and risky investments as a result of short-term market fluctuations.Left unchecked, information bias can cause investors to:Panic-sell during downturns, locking in lossesChase performance by piling into "hot" sectorsIgnore fundamentals in favor of hype and speculationOverreact to temporary setbacks or fleeting good newsKiernan gives an example of information bias that plagues most people, whether we know it or not: overreaction to news. Negative news and rumors about companies can spread rapidly through social media platforms and online forums, leading investors to hastily sell their shares without fully understanding the potential impact, Kiernan says. You may consider yourself unbiased, but even reading a single post with a negative tone (and not checking out other news sources before accepting the information as true) can cause big problems for individual investors.Understanding your own decision-makingIn addition to information bias, theres a lot of very human behavior that separates us from the robotsgood for humanity, bad for making money. For instance, anchoring bias happens when investors rely too heavily on the first piece of information they encounter when making decisions. This can also lead to confirmation bias, which involves only looking at information that confirms preexisting beliefs or opinions, and ignoring information that contradicts them.In addition, Kiernan says investors tend to experience loss aversion, which is the tendency to feel the pain of losses more intensely than the pleasure of gains. This leads to investors holding onto unprofitable investments, rather than cutting their losses and moving on. All the obvious biases seep into your investments, too. Some people might take a moral stand against investing in companies that deal in tobacco, cannabis, oil and gas, etc. Whatever the particular bias is, even if morally sound, it is unlikely to be conducive to making money as an investor.So we understand that, as a human, your decision-making cant be perfect. Now what? Lets take a look at how investors make more rational and informed choices.Tips to avoid information biasPanic is the enemy of sound decision-making. For instance, Kiernan shares that one of his colleagues is a shareholder in a public restaurant chain that had a health problem hit the news. Rather than panic and sell in the face of negative press, he ate there several times per week for months to see for himself what impact the issue might have. The restaurants soon filled up again, and the share price has more than bounced back.Here are some tips to avoid panic and avoid information bias when investing:Diversify your sources. Dont just rely on one news outlet, analyst, or data source when researching investment opportunities. Get perspectives from multiple credible sources to balance out any potential biases.Check facts and question assumptions. Dont take statements at face value. Dig deeper to verify claims and test underlying assumptions.Avoid echo chambers. Dont just seek out information that confirms your existing views. Make an effort to read sources that challenge your thinking.Be aware of how you process information. All individuals have biases in how they interpret data. Reflect on your own inherent biases and investing style.Look at opposing viewpoints. For every investment thesis, there is often a counter-argument. Seek to understand different perspectives.Use unbiased quantitative data. Look at objective measurements like financial ratios, growth metrics, and market share when evaluating stocks.Set a research cutoff date. Establish a point where you will stop seeking new info and make a decision based on what you already know.Re-evaluate regularly. Review your investment rationale periodically to check if your original assumptions still hold true.Hire a financial advisor. An experienced professional can help point out blind spots in your thinking and research process.The bottom line is that investors should make a well-researched plan for action when things are calm, before emotions and everyday distractions can cloud their judgment, Kiernan says. Dont let biased thinking derail your investing success.

YouTube seems to be starting to roll out its community notes feature to a select group of users. Screenshots of YouTubes official invitation to join the pilot program for its new community correction feature are popping up all over social media, according to 9to5Google.Aye YouTube is adding community notes pic.twitter.com/xVOw9yEzhJ Ian Zelbo (@ianzelbo) August 7, 2024 YouTube first announced its community notes feature in June. The new feature allows viewers to submit short blurbs that provide additional context or correct information to certain video content. The community notes feature comes ahead of the US presidential election.There is no official start date for the new feature, but YouTube has added a section to its Help database with instructions on writing and submitting notes. Weve also reached out to Google for a comment on the new feature.The pilot program is currently only available in English for mobile devices in the US, according to the support page. The company previously said it would invite participants through email or their Creator Studios account. The select group of test subjects will provide feedback to YouTube to help the platform determine which notes are helpful, somewhat helpful or unhelpful, before rolling out its community notes feature to the public, according to the official YouTube blog.This article originally appeared on Engadget at https://www.engadget.com/social-media/youtube-invites-users-to-test-its-community-notes-feature-224823088.html?src=rss

Roku's Sport Channel delivers live baseball and classic boxing with future updates extending to minor league basketball.

Cybersecurity company Abnormal Security announced Tuesday it has raised $250 million in a Series D funding round that values the firm at $5.1 billion.

Go behind the scenes.

For U.S. chip giant Intel, the darling of the computer age before it fell on harder times in the AI era, things might have been quite different.About seven years ago, the company had the chance to buy a stake in OpenAI, then a fledgling non-profit research organization working in a little-known field called generative artificial intelligence, four people with direct knowledge of those discussions told Reuters.Over several months in 2017 and 2018, executives at the two companies discussed various options, including Intel buying a 15% stake for $1 billion in cash, three of the people said. They also discussed Intel taking an additional 15% stake in OpenAI if it made hardware for the startup at cost price, two people said.Intel ultimately decided against a deal, partly because then-CEO Bob Swan did not think generative AI models would make it to market in the near future and thus repay the chipmakers investment, according to three of the sources, who all requested anonymity to discuss confidential matters.OpenAI was interested in an investment from Intel because it would have reduced their reliance on Nvidias chips and allowed the startup to build its own infrastructure, two of the people said. The deal also fell through because Intels data center unit did not want to make products at cost, the people added.An Intel spokesperson did not address questions about the potential deal. Swan did not respond to a request for comment and OpenAI declined to comment.Intels decision not to invest in OpenAI, which went on to launch the groundbreaking ChatGPT in 2022 and is now reportedly valued at about $80 billion, has not previously been made public.It is among a series of strategic misfortunes that have seen the company, which was at the cutting edge of computer chips in the 1990s and 2000s, stumble in the era of AI, according to Reuters interviews with nine people familiar with the matter including former Intel executives and industry experts.Last week, Intels second-quarter earnings triggered a stock price decline of more than a quarter of its value in its worst trading day since 1974.For the first time in 30 years, the tech company is worth less than $100 billion. The erstwhile market kingpin whose marketing slogan Intel Inside long represented the gold standard of quality is still struggling to get a blockbuster AI chip product to market.Intel is now dwarfed by $2.6 trillion rival Nvidia, which has pivoted from video game graphics to AI chips needed to build, train and operate large generative AI systems like OpenAIs GPT4 and Meta Platforms Llama models. Intel has also fallen behind the $218 billion AMD.Asked about its AI progress, the Intel spokesperson referred to recent comments by CEO Pat Gelsinger, who said the companys third-generation Gaudi AI chip, which it aims to launch in the third quarter of this year, would outperform rivals.Gelsinger said the company had 20-plus customers for the second and third generation of Gaudi and that its next-generation Falcon Shores AI chip would launch in late 2025.We are nearing the completion of a historic pace of design and process technology innovation, and we are encouraged by the product pipeline were building to capture a greater share of the AI market going forward, the spokesperson told Reuters.Gaming chips sweep AIOn the OpenAI front, Microsoft stepped in to make an investment in 2019, propelling itself to the forefront of the AI era triggered by the 2022 release of ChatGPT and a frenzy of activity among the largest companies in the world to deploy AI.Although in hindsight the prospective deal was a missed chance for Intel, the company has been gradually losing the battle for AI supremacy for more than decade, according to the former executives and industry experts interviewed.Intel failed in AI because they didnt present a cohesive product strategy to their customers, said Dylan Patel, founder of semiconductor research group SemiAnalysis.For more than two decades, Intel believed the CPU, or central processing unit, like the ones that power desktop and laptop computers, could more effectively handle the processing tasks required to build and run AI models, according to four former Intel executives with direct knowledge of the companys plans.Intel engineers viewed the graphics processing unit (GPU) video gaming chip architecture, used by rivals Nvidia and Advanced Micro Devices, as comparatively ugly, one of the people said.By the mid 2000s, though, researchers had discovered that the gaming chips were far more efficient than CPUs at handling the intensive data crunching necessary to build and train large AI models. Because GPUs are designed for game graphics, they can perform an enormous number of calculations in parallel.Nvidias engineers have spent years since then modifying the GPU architecture to tune them for AI uses, and built the software necessary to harness the capabilities.When AI hit Intel just didnt have the right processor at the right time, said Lou Miscioscia, analyst at Japanese investment bank Daiwa.Nervana and HabanaSince 2010, Intel has made at least four attempts to produce a viable AI chip, including acquiring two startups and at least two major homegrown efforts. None have made a dent against Nvidia or AMD in the rapidly expanding and lucrative market, according to three people with direct knowledge of the companys internal activities.Intels entire data center business is expected to generate sales of $13.89 billion this year which includes the companys AI chips but many other designs too while analysts expect Nvidia to generate data center revenue of $105.9 billion.In 2016, Intel CEO Brian Krzanich sought to buy its way into the AI business by acquiring Nervana Systems for $408 million. Intel executives were attracted to Nervanas technology, which was similar to a tensor processing unit (TPU) chip made by Google, according to two former executives.The TPU specifically designed for building, or training, large generative AI models stripped away a conventional GPUs features useful for video games and focused exclusively on optimizing AI calculations.Nervana enjoyed some success with customers including Meta Platforms for its processor, though not enough to prevent Intel from switching horses and abandoning the project.In 2019, Intel bought a second chip startup, Habana Labs, for $2 billion before it shut down Nervanas efforts in 2020.Krzanich did not respond to a request for comment for this article.Max A. Cherney, ReutersAnna Tong and Arsheeya Singh Bajwa contributed to this report.