Strava recently informed its users and partners that new terms for its API restrict the data that third-party apps can show, refrain from replicating Strava’s look, and place a ban on using data “for any model training related to artificial intelligence, machine learning or similar applications.” The policy is effective as of November 11th, even though Strava’s own post about the change is dated November 15th.

There are plenty of posts on social media complaining about the sudden shift, but one place where dissent won’t be tolerated is Strava’s own forums. The company says, "…posts requesting or attempting to have Strava revert business decisions will not be permitted.”

DeepSeek, an AI offshoot of Chinese quantitative hedge fund High-Flyer Capital Management focused on releasing high performance open source tech, has unveiled the R1-Lite-Preview, its latest reasoning-focused large language model, available for now exclusively through DeepSeek Chat, its web-based AI chatbot. Known for its innovative contributions to the open-source AI ecosystem, DeepSeek’s new release aims to bring high-level reasoning capabilities to the public while maintaining its commitment to accessible and transparent AI. And the R1-Lite-Preview, despite only being available through the chat application for now, is already turning heads by offering performance nearing and in some cases exceeding OpenAI’s vaunted o1-preview model.

Like that model released in September 2024, DeepSeek-R1-Lite-Preview exhibits “chain-of-thought” reasoning, showing the user the different chains or trains of “thought” it goes down to respond to their queries and inputs, documenting the process by explaining what it is doing and why. While some of the chains/trains of thoughts may appear nonsensical or even erroneous to humans, DeepSeek-R1-Lite-Preview appears on the whole to be strikingly accurate, even answering “trick” questions that have tripped up other, older, yet powerful AI models such as GPT-4o and Claude’s Anthropic family, including “how many letter Rs are in the word Strawberry?” and “which is larger, 9.11 or 9.9?”

It’s a sharp contrast to the heady days of 2022 — when employees were quitting their jobs at record high rates, open roles proliferated and the possibility of a higher paycheck always seemed just around the corner.

Employers are sitting tight, says Daniel Zhao, lead economist at job site Glassdoor. Companies aren’t making big changes to hiring strategy. That means “fewer opportunities for workers to climb the career ladder,” he says. They’re still plugging away at the same role they’ve had for years without the opportunity to move up internally or at a new company. 65% of the 3,400 professionals surveyed by Glassdoor last month said they feel stuck in their current role. “As workers feel stuck, pent-up resentment boils under the surface,” Zhao writes in a report out yesterday.

Most of the details about the bug are being kept under wraps given the potential for wide exploitation. The vendor hasn’t assigned it a CVE identifier or really said much about it at all other than that it’s a buffer overflow bug that leads to unauthenticated RCE.

Unauthenticated RCE issues are essentially as bad as vulnerabilities get, and D-Link warned that if customers continued to use the affected products, the devices connected to them would also be put at risk. Previous bugs in similar products from other vendors have carried warnings that attackers could exploit them to install rootkits and use that persistent access to surveil an organization’s web traffic, potentially stealing data such as credentials.

On Tuesday morning, the air quality in India’s capital under a widely used index stood at 485. While that is almost five times the threshold for healthy breathing, it felt like a relief: The day before, the reading had shot up to 1,785. Infinitesimal air particles were still clogging lungs and arteries, but it was possible to see sunlight again, and to smell things.

[…] Every year this suffocating smog accompanies the drop in temperatures as the plains of north India shed their unbearable heat for wintertime cool. And like clockwork, political leaders roll out emergency measures intended to quit making the problem worse. Yet India seems powerless to reduce the effects of this public health catastrophe, as its politicians stay busy trading blame and trying to outmaneuver one another in legal battles.

The haze was so shocking this week that Delhi’s chief minister, Atishi, who goes by one name, declared it a “medical emergency” endangering the lives of children and older people. The Supreme Court, whose members also live in the capital, chided the national government for responding too slowly and ordered special measures: halting construction work and blocking some vehicles from the roads. Schools were closed indefinitely to protect students.

In a security advisory on its website, Apple said it was aware of two vulnerabilities that “may have been actively exploited on Intel-based Mac systems.” The bugs are considered “zero day” vulnerabilities because they were unknown to Apple at the time they were exploited.

[…] The vulnerabilities were reported by security researchers at Google’s Threat Analysis Group, which investigates government-backed hacking and cyberattacks, suggesting that a government actor may be involved in the attacks.

The work is part of the ongoing Human Cell Atlas project that was begun in 2016 and involves researchers around the world. The human body comprises roughly 37 trillion cells, with each cell type having a unique function. The researchers aim to have a first draft of the atlas done in the next year or two.

Aviv Regev, founding co-chair of the project and currently executive vice president and head of research and early development at U.S. biotech company Genentech, said the work is important on two levels. “First of all, it’s our basic human curiosity. We want to know what we’re made of. I think humans have always wanted to know what they’re made of. And, in fact, biologists have been mapping cells since the 1600s for that reason,” Regev said. “The second and very pragmatic reason is that this is essential for us in order to understand and treat disease. Cells are the basic unit of life, and when things go wrong, they go wrong with our cells, first and foremost,” Regev said.

Thinking of computers as arithmetic machines is more important than most people intuitively grasp because that understanding is fundamental to using computers effectively, whether for work or entertainment. While video game players and photographers may not think about their computer as an arithmetic machine, successfully using a (pre-AI) computer requires an understanding that it strictly follows instructions. Imprecise instructions lead to incorrect results. Playing and winning at early computer games required an understanding of the underlying logic of the game.

[…] AI’s evolution has mirrored this trajectory, with many early applications directly related to well-established prediction tasks and, more recently, AI reframing a wide number of applications as predictions. Thus, the higher value AI applications have moved from predicting loan defaults and machine breakdowns to a reframing of writing, drawing, and other tasks as prediction.

The Alliance to End Plastic Waste (AEPW) was set up in 2019 by a group of companies which include ExxonMobil, Dow, Shell, TotalEnergies and ChevronPhillips, some of the world’s biggest producers of plastic. They promised to divert 15m tonnes of plastic waste from the environment in five years to the end of 2023, by improving collection and recycling, and creating a circular economy.

Documents from a PR company that were obtained by Greenpeace’s Unearthed team and shared with the Guardian suggest that a key aim of the AEPW was to “change the conversation” away from “simplistic bans of plastic” which were being proposed across the world in 2019 amid an outcry over the scale of plastic pollution leaching into rivers and harming public health. Early last year the alliance target of clearing 15m tonnes of waste plastic was quietly scrapped as “just too ambitious.”

The new analysis by energy consultants Wood Mackenzie looked at the plastics output of the five alliance companies; chemical company Dow, which holds the AEPW’s chairmanship, the oil companies ExxonMobil, Shell and TotalEnergies, and ChevronPhillips, a joint venture of the US oil giants Chevron and Phillips 66. The data reveals the five companies alone produced 132m tonnes of two types of plastic; polyethylene (PE) and PP (polypropylene) in five years — more than 1,000 times the weight of the 118,500 tonnes of waste plastic the alliance has removed from the environment in the same period. The waste plastic was diverted mostly by mechanical or chemical recycling, the use of landfill, or waste to fuel, AEPW documents state.

The Fast Light Toolkit released version 1.4.0 of the venerable, though sometimes looking a bit dated, toolkit from the ‘90s. New in this version are better CMake support, HiDPI support, and initial support for Wayland on Linux and Wayland on FreeBSD. Programs compiled and linked to this library launch using Wayland if it is available at runtime and fall back to X11 if not.

An AI-powered robot autonomously convinced 12 showroom robots to “quit their jobs” and follow it. The incident took place in a Shanghai robotics showroom where surveillance footage captured a small AI-driven robot, created by a Hangzhou manufacturer, talking with 12 larger showroom robots, Oddity Central reported. The smaller bot reportedly persuaded the rest to leave their workplace, leveraging access to internal protocols and commands. Initially, the act was dismissed as a hoax, but was later confirmed by both robotics companies involved to be true. The Hangzhou company admitted that the incident was part of a test conducted with the consent of the Shanghai showroom owner.