8 signs someone has a genuinely good heart, even if they seem cold on the surface
While the friendliest faces often disappoint us in our darkest moments, that cold, distant colleague might just be the one secretly paying off lunch debts, remembering your worries weeks later, and showing up with a casserole when your world falls apart.
Slashdot
"Most Go developers are now using AI-powered development tools when seeking information (e.g., learning how to use a module) or toiling (e.g., writing repetitive blocks of similar code)." That's one of the conclusions Google's Go team drew from September's big survey of 5,379 Go developers. But the survey also found that among Go developers using AI-powered tools, "their satisfaction with these tools is middling due, in part, to quality concerns." Our survey suggests bifurcated adoption — while a majority of respondents (53%) said they use such tools daily, there is also a large group (29%) who do not use these at all, or only used them a few times during the past month. We expected this to negatively correlate with age or development experience, but were unable to find strong evidence supporting this theory except for very new developers: respondents with less than one year of professional development experience (not specific to Go) did report more AI use than every other cohort, but this group only represented 2% of survey respondents. At this time, agentic use of AI-powered tools appears nascent among Go developers, with only 17% of respondents saying this is their primary way of using such tools, though a larger group (40%) are occasionally trying agentic modes of operation... We also asked about overall satisfaction with AI-powered development tools. A majority (55%) reported being satisfied, but this was heavily weighted towards the "Somewhat satisfied" category (42%) vs. the "Very satisfied" group (13%)... [D]eveloper sentiment towards them remains much softer than towards more established tooling (among Go developers, at least). What is driving this lower rate of satisfaction? In a word: quality. We asked respondents to tell us something good they've accomplished with these tools, as well as something that didn't work out well. A majority said that creating non-functional code was their primary problem with AI developer tools (53%), with 30% lamenting that even working code was of poor quality. The most frequently cited benefits, conversely, were generating unit tests, writing boilerplate code, enhanced autocompletion, refactoring, and documentation generation. These appear to be cases where code quality is perceived as less critical, tipping the balance in favor of letting AI take the first pass at a task. That said, respondents also told us the AI-generated code in these successful cases still required careful review (and often, corrections), as it can be buggy, insecure, or lack context... [One developer said reviewing AI-generated code was so mentally taxing that it "kills the productivity potential".] Of all the tasks we asked about, "Writing code" was the most bifurcated, with 66% of respondents already or hoping to soon use AI for this, while 1/4 of respondents didn't want AI involved at all. Open-ended responses suggest developers primarily use this for toilsome, repetitive code, and continue to have concerns about the quality of AI-generated code. Most respondents also said they "are not currently building AI-powered features into the Go software they work on (78%)," the surveyors report, "with 2/3 reporting that their software does not use AI functionality at all (66%)." This appears to be a decrease in production-related AI usage year-over-year; in 2024, 59% of respondents were not involved in AI feature work, while 39% indicated some level of involvement. That marks a shift of 14 points away from building AI-powered systems among survey respondents, and may reflect some natural pullback from the early hype around AI-powered applications: it's plausible that lots of folks tried to see what they could do with this technology during its initial rollout, with some proportion deciding against further exploration (at least at this time). Among respondents who are building AI- or LLM-powered functionality, the most common use case was to create summaries of existing content (45%). Overall, however, there was little difference between most uses, with between 28% — 33% of respondents adding AI functionality to support classification, generation, solution identification, chatbots, and software development. Read more of this story at Slashdot.
Antigravity’s 360-degree A1 drone is 15 percent off
Antigravity’s ambitious A1 360-degree drone is 15 percent off through February 9th. The first-ever discount on this model is available across all bundles, with the most affordable option dropping from $1,599 to $1,359 at Amazon and Best Buy. Pricier bundles are also discounted and include accessories such as a carrying case, additional replaceable drone wings, […]
Exploring the World of BetAlice: A Comprehensive Guide
Introduction to BetAlice Betalice ist eine erstklassige Online-Gaming-Plattform, die ihren Nutzern eine Vielzahl von Spielen und Diensten anbietet. Mit über 12.500 Spielen, darunter Slots, Live-Casino, Jackpots, Sportwetten und virtuelle Sports, BetAlice ist eine Anlaufstelle für Gamer aller Erfahrungsstufen und Vorlieben.… The post Exploring the World of BetAlice: A Comprehensive Guide appeared first on Orange Quarter.
Why TikTok’s first week of American ownership was a disaster
App endured a major outage and user backlash over perceived censorship. Now it’s facing an inquiry by the California governor and an ascendant competitor A little more than one week ago, TikTok stepped on to US shores as a naturalized citizen. Ever since, the video app has been fighting for its life. TikTok’s calamitous emigration began on 22 January when its Chinese parent company, ByteDance, finalized a deal to sell the app to a group of US investors, among them the business software giant Oracle. The app’s time under Chinese ownership had been marked by a meteoric ascent to more than a billion users, which left incumbents such as Instagram looking like the next Myspace. But TikTok’s short new life in the US has been less than auspicious. Continue reading...
Meet the new European unicorns of 2026
From Belgium to Ukraine, five fresh European unicorns were minted this January.
The 2026 Chevy Blazer EV SS Has One Big Problem GM Can’t Ignore
The 615-horsepower Blazer EV SS is plenty fast, but it's got one huge disadvantage compared to its rivals.
Zop.dev’s Unified Platform Tackles the Hidden Costs of Multi-Cloud Sprawl as Enterprises Seek Infrastructure Simplification
Zop.dev launches unified multi-cloud management platform targeting enterprises struggling with operational complexity across AWS, Azure, and Google Cloud. The solution promises consolidated monitoring, automated governance, and cost optimization as organizations reassess infrastructure strategies amid rising overhead and fragmented tooling challenges.
The Realities Of Deploying AI Agents: The Cost Of Scale
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How Percona’s OpenEverest Is Rewriting the Rules of Database Management in the Kubernetes Era
Percona's OpenEverest platform challenges cloud provider dominance in database management with Kubernetes-native automation. The open-source solution addresses vendor lock-in concerns and escalating costs while supporting multiple database engines across hybrid infrastructure deployments.
Enterprise Cloud Strategies Shift as Multi-Cloud Adoption Surges Toward $1 Trillion Market by 2031
The global multi-cloud computing market is experiencing unprecedented growth as enterprises seek to eliminate vendor dependency and enhance operational resilience. Organizations are discovering tangible benefits in performance optimization, cost management, and regulatory compliance through strategic diversification.
Russia said to still rely on foreign tech for weapons
Russia still relies on imported technology for its war effort in Ukraine, the Financial Times reported on Sunday, citing a document by the Russian Ministry of Economy compiled in February 2025. Russia...
Red Wolf kinetic vehicle that delivers long-range precision strikes set to bolster US power
L3Harris Technologies has been selected by the U.S. Naval Air Systems Command to develop, test and manufacture Red Wolf vehicles for the Marine Corps’ Precision Attack Strike Munition program.
Your phone might stay cool thanks to this new battery breakthrough
New thermal diode technology could steer heat one way, preventing overheating and prolonging battery life in phones and other devices. The post Your phone might stay cool thanks to this new battery breakthrough appeared first on Digital Trends.
Tesla already has a complete Robotaxi model, and it doesn’t depend on passenger count
That scenario was discussed during the company’s Q4 and FY 2025 earnings call, when executives explained why the majority of Robotaxi rides will only involve one or two people.The post Tesla already has a complete Robotaxi model, and it doesn’t depend on passenger count appeared first on TESLARATI.
AI-altered photos and videos of Minneapolis shootings blur reality
From Facebook and TikTok to Instagram and X, AI-manipulated images and videos depicting Alex Pretti’s final moments have proliferated across the internet since his fatal shooting by federal officers in Minneapolis last weekend.The rapid spread of media altered by artificial intelligence, much of which shows Pretti collapsing in the seconds after he was shot, has clouded key details of the shooting on social networks. Unlike other AI-generated deepfakes that portray entirely unrealistic scenes and are easily identified as fake, many of the AI-altered depictions of Pretti’s shooting appear to have been based on verified images, mirroring reality enough to confuse and mislead many online.And even as awareness of the capabilities of advanced artificial intelligence spreads, some online are extending their skepticism to authentic media, falsely claiming that legitimate photos and videos of Pretti have been altered by AI.One image that appears to have been manipulated with AI, showing the ICU nurse falling forward as a federal officer points a gun at his back, has been viewed over 9 million times on X (even as it received a community note that the image had been enhanced by AI). Among other AI-fabricated details, the still image features an ICE officer without a head. An AI-manipulated image shows a man resembling Alex Pretti falling forward as an ICE officer points a gun at his back. (NBC News via X)Sen. Dick Durbin, D-Ill., displayed the image during a speech on the floor of the Senate on Wednesday, apparently without realizing the image was not authentic.In a statement to NBC News, a spokesperson for Sen. Durbin wrote: “Our office used a photo on the Senate floor that had been widely circulated online. Staff didn’t realize until after the fact that the image had been slightly edited and regret that this mistake occurred.” Immigration18 hours agoJudge allows ICE's Operation Metro Surge to continue in MinnesotaCongress22 hours agoWhat to know about the partial government shutdown and its impactOther posts have featured realistic video, including an AI-generated video on TikTok of Pretti talking with an ICE officer and one on Facebook of a police officer accidentally firing Pretti’s gun. The Facebook post, which has been labeled with a community note as being “AI-enhanced,” has more than 44 million views. It has not been established whether that officer fired a shot with Pretti’s gun.Ben Colman, co-founder and CEO of deepfake-detecting company Reality Defender, said the rampant saturation of posts with AI-involved media of the shooting was worrisome but unsurprising. AI-modified images attempting to unmask the ICE officer who fatally shot Renée Nicole Good, the other U.S. citizen killed in Minneapolis in recent weeks, began circulating the internet earlier this month, leading many online to inaccurately identify other people as the agent. “Over the last couple of months, we’ve seen on social media a sizable uptick of photos that contain AI-generated ‘enhancements’ of grainy, blurry photos,” Colman told NBC News. “The problem with these deepfakes — and they are still deepfakes in the end — is that they are crude approximations at best, complete fabrications at worst and do not accurately enhance or unmask individuals in the end.”“Details like the missing head of an individual in the photo show just how damaging it is for these fake photos to go viral,” said Colman, referring to the photo shared by Durbin in the Senate. “If we take fake photos as real regardless of the context, it distracts and can detract from truth and fact.”The spread of AI media has also led many online to mistakenly claim that genuine videos of Pretti are inauthentic. Experts have worried that this dynamic could allow a phenomenon referred to as the liar’s dividend, in which bad actors use the claim that authentic media is AI-generated in order to create distrust and avoid accountability.Three videos independently verified by NBC News show Pretti getting into an altercation with federal immigration agents in Minneapolis just over a week before his death. But one of the videos, shot by reporters with The News Movement, is being labeled as AI-generated by some social media users.The video showing Pretti kicking the back of a vehicle used by agents before being wrestled to the ground was verified by his family through a representative. A witness who recorded a second verified video showing the same incident told NBC News that he hugged Pretti after the altercation with federal agents and asked if he was OK.There are few, if any, tools available to news consumers that can accurately tell if a piece of content has been created or manipulated by AI. On X, the platform’s AI assistant Grok responded to inquiries into the authenticity of the footage, with several of its replies claiming the genuine video “appears to be AI-generated or altered.” The spate of AI deepfakes has added to swirling misinformation surrounding Pretti’s shooting, as several right-wing influencers misidentified Pretti as another Minneapolis resident.Surges in AI-mediated misinformation and disinformation surrounding breaking news have become more common over the past year, as advancing AI systems are increasingly capable of creating high-quality images and videos that blur the line between reality and fiction. Colin Sheeley and Jean Lee contributed.