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Forrester's take on President's economic agenda offers little optimism for the industry

It's been less than two weeks since Donald Trump returned to the White House, and the effect the administration may have on the global tech industry is still far from clear. …

OpenAI today launched o3-mini, a specialized AI reasoning model designed for STEM tasks that offers faster processing at lower costs compared to its predecessor o1-mini. The model, priced at $1.10 per million cached input tokens and $4.40 per million output tokens, performs fact-checking before delivering results to reduce errors in technical domains like physics and programming, the Microsoft-backed startup said. (A million tokens are roughly 750,000 words) OpenAI claims that its tests showed o3-mini made 39% fewer major mistakes than o1-mini on complex problems while delivering responses 24% faster. The model will be available through ChatGPT with varying access levels -- free users get basic access while premium subscribers receive higher query limits and reasoning capabilities.

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An anonymous reader shares a report: At first blush, stock trading this week is hardly a paragon of the market-efficiency theory, an oft-romanticized idea in Economics 101. After all, big equity gauges plunged on Monday, spurred by fears of an AI model released a week earlier, before swiftly rebounding. A fresh academic paper suggests the rise of passive investing may be fueling these kind of fragile market moves. According to a study to be published in the prestigious American Economic Review, evidence is building that active managers are slow to scoop up stocks en masse when prices move away from their intrinsic worth. Thanks to this lethargic trading behavior and the relentless boom in benchmark-tracking index funds, the impact of each trade on prices gets amplified, explaining how sell orders, like on Monday perhaps, can induce broader equity gyrations. As a result, the financial landscape is proving less dynamic and more volatile in the era of Big Passive, according to authors at the UCLA Anderson School of Management, the Stockholm School of Economics and the University of Minnesota Carlson School of Management.

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More than 8,000 of the world's most-cited scientists have at least one retraction, according to a database that links retractions to top-cited papers. From a report: An analysis of the database, published in PLOS Biology on 30 January, attempts to map the scale of retractions and understand how they manifest. "Not every retraction is a sign of misconduct," says John Ioannidis, an epidemiologist at Stanford University in California, who led the study. "But it is important to have a bird's eye view, across all scientific fields, [of] people who are most influential in science." Retracted papers had a higher number of self-citations than did non-retracted papers. And papers with higher co-authorship numbers were more likely to be retracted than those with fewer co-authors. [...] In the study, the authors split the most-cited scientists into two groups. The first featured the 217,097 authors who were among the top 2% most-cited in their fields over their careers. The second group comprised the 223,152 scientists who made up the top 2% for citation impact in 2023, the most recent year for which there were data. The authors found that 8,747 (4%) of the most highly cited researchers in 2023 had at least one retraction during their career, as did 7,083 (3.3%) of the researchers who were most-cited over their careers.

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DeepSeek has emerged as the leading open-source AI model developer, surpassing Meta's Llama and Mistral, after releasing its latest model V3 with breakthrough cost efficiencies, research and consultancy firm SemiAnalysis reported on Friday. The Chinese startup, backed by hedge fund High-Flyer, reached this milestone through innovations in Multi-head Latent Attention technology, which cut inference costs by 93.3% versus standard methods. Despite offering services below cost to gain market share, its performance matches or exceeds OpenAI's GPT-4.

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A study has found microplastic and nanoplastic pollution to be significantly higher in placentas from premature births than in those from full-term births. From a report: The levels were much higher than previously detected in blood, suggesting the tiny plastic particles were accumulating in the placenta. But the higher average levels found in the shorter pregnancies were a "big surprise" for the researchers, as longer terms could be expected to lead to more accumulation. Preterm birth is the leading cause of infant death worldwide, and the reasons for about two-thirds of all preterm births were unknown, said Dr Enrico Barrozo, of Baylor College of Medicine in Texas, US. The established link between air pollution and millions of premature births had spurred the research team to investigate plastic pollution. The new study only demonstrates an association between microplastics and premature births. Further research is needed in cell cultures and animal models to determine if the link is causal. Microplastics are known to cause inflammation in human cells, and inflammation is one of the factors that prompts the start of labour.

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Self-deprecation much less fun if you're not joking... or if nobody knows what the heck you mean

Microsoft has explained what it means by "deprecation" – it doesn't mean "the end", it means "save the date."…

An anonymous reader shares a report: Taiwan's digital ministry said on Friday that government departments should not use Chinese startup DeepSeek's artificial intelligence (AI) service, saying that as the product is from China it represents a security concern. Democratically-governed Taiwan has long been wary of Chinese tech given Beijing's sovereignty claims over the island and its military and political threats against the government in Taipei. In a statement, Taiwan's Ministry of Digital Affairs said that government departments are not allowed to use DeepSeek's AI service to "prevent information security risks". "DeepSeek's AI service is a Chinese product, and its operation involves cross-border transmission and information leakage and other information security concerns, and is a product that jeopardises the country's information security," the ministry said.

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But Chinese startup shakeup doesn't herald 'drastic drop' in need for infrastructure buildout, say analysts

Analysis The shockwave following the release of competitive AI models from Chinese startup DeepSeek has led many to question the assumption that throwing ever more money at costly large-scale GPU-based infrastructure delivers the best results.…

Apple has filed an emergency motion [PDF] for a stay in the Google antitrust trial, warning that it faces "clear and substantial irreparable harm" if barred from participating in the case's remedies phase. The motion, filed on January 30, 2025, comes after Judge Amit Mehta denied Apple's request for limited intervention earlier in the week. Apple -- which makes more than $20 billion a year from Google to use the Android-maker's search engine on Safari -- argues that the U.S. Department of Justice's (DOJ) proposed remedy -- which includes a prohibition on "any contract between Google and Apple in which there would be anything exchanged of value" --would prevent it from negotiating agreements that benefit millions of users. Without the ability to fully participate, Apple contends it will be left as a "mere spectator" while the government pursues restrictions that directly impact its business interests. The company asserts that intervention is necessary to develop evidence, participate in discovery, and cross-examine witnesses regarding its market role and incentives. Apple also seeks access to trial records while its appeal is pending, including witness lists, depositions, and discovery materials, to ensure it can respond effectively if granted party status.

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Nearly 100 journalists and other members of civil society using WhatsApp, the popular messaging app owned by Meta, were targeted by spyware owned by Paragon, an Israeli maker of hacking software, the company alleged today. From a report: The journalists and other civil society members were being alerted of a possible breach of their devices, with WhatsApp telling the Guardian it had "high confidence" that the users in question had been targeted and "possibly compromised." The company declined to disclose where the journalists and members of civil society were based, including whether they were based in the US. The company said it had sent Paragon a "cease and desist" letter and that it was exploring its legal options. WhatsApp said the alleged attacks had been disrupted in December and that it was not clear how long the targets may have been under threat.

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Sunita Williams lays claims to lead for female EVAs

NASA 'naut Sunita Williams has broken Peggy Whitson's record for total spacewalking time for a female astronaut with a trip outside the International Space Station (ISS) to collect samples from the outpost's exterior.…

Microsoft is charging business customers a $400 premium for Surface devices equipped with Intel's latest Core Ultra processors compared to models using Qualcomm's Arm-based chips, the company has disclosed. The Intel-powered Surface Pro tablet and Surface Laptop, starting at $1,499, come with a second-generation Core Ultra 5 processor featuring eight cores, 16GB of memory and 256GB storage. Comparable Qualcomm-based models begin at $1,099. The new Intel devices will be available to business customers from February 18, though versions with cellular connectivity will launch later. Consumer Surface devices will only be offered with Qualcomm processors. Microsoft also unveiled a USB 4 Dock supporting dual 4K displays and the Surface Hub 3, a conference room computer available in 50-inch or 85-inch touchscreen versions.

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An anonymous reader quotes a report from MIT Technology Review: A Canadian startup called Xanadu has built a new quantum computer it says can be easily scaled up to achieve the computational power needed to tackle scientific challenges ranging from drug discovery to more energy-efficient machine learning. Aurora is a "photonic" quantum computer, which means it crunches numbers using photonic qubits -- information encoded in light. In practice, this means combining and recombining laser beams on multiple chips using lenses, fibers, and other optics according to an algorithm. Xanadu's computer is designed in such a way that the answer to an algorithm it executes corresponds to the final number of photons in each laser beam. This approach differs from one used by Google and IBM, which involves encoding information in properties of superconducting circuits. Aurora has a modular design that consists of four similar units, each installed in a standard server rack that is slightly taller and wider than the average human. To make a useful quantum computer, "you copy and paste a thousand of these things and network them together," says Christian Weedbrook, the CEO and founder of the company. Ultimately, Xanadu envisions a quantum computer as a specialized data center, consisting of rows upon rows of these servers. This contrasts with the industry's earlier conception of a specialized chip within a supercomputer, much like a GPU. [...] Xanadu's 12 qubits may seem like a paltry number next to IBM's 1,121, but Tiwari says this doesn't mean that quantum computers based on photonics are running behind. In his opinion, the number of qubits reflects the amount of investment more than it does the technology's promise. [...] Xanadu's next goal is to improve the quality of the photons in the computer, which will ease the error correction requirements. "When you send lasers through a medium, whether it's free space, chips, or fiber optics, not all the information makes it from the start to the finish," he says. "So you're actually losing light and therefore losing information." The company is working to reduce this loss, which means fewer errors in the first place. Xanadu aims to build a quantum data center, with thousands of servers containing a million qubits, in 2029. The company published its work on chip design optimization and fabrication in the journal Nature.

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Reckons completion of Hashicorp buy is around the corner, plans to use some of $7B free cash for more M&A

IBM is hopeful of completing the $6.4 billion purchase of Hashicorp relatively smoothly given what Big Blue perceives to be a "more rational" and "pro-competition" regulatory environment.…

Court said her approach to child access dispute with ex-partner really stinks

Wales has given the world many things – Tom Jones, laverbread, and the equals sign. But one woman from Caernarfon has added weaponized flatulence to the list. Her unorthodox approach to WhatsApp landed her with a community order and fines.…

Only 35% of those premises actually hooked up though, plus company reports 'higher competitor losses'

BT Group claims to have pulled off a record build rate of more than a million premises in the final three months of 2024 amid efforts to install fiber connectivity across the UK and fierce competition from altnets.…

ESA and the Argonauts

The European Space Agency (ESA) has inked a deal worth €862 million with Thales Alenia Space to develop a lunar lander.…

During the company's fourth-quarter earnings call Thursday, Intel co-CEO Michelle Johnston Holthaus announced that Intel has decided to cancel its Falcon Shores AI chip. Instead, it'll opt to use it as an internal test chip while shifting focus to Jaguar Shores for AI data center solutions. TechCrunch reports: "AI data center ... is an attractive market for us," Holthaus said during the call. "[B]ut I am not happy with where we are today. We're not yet participating in the cloud-based AI data center market in a meaningful way ... One of the immediate actions I have taken is to simplify our roadmap and concentrate our resources." The focus instead will be on Jaguar Shores, which Holthaus called Intel's opportunity to "develop a system-level solution at rack scale ... to address the AI data center more broadly." Holthaus tempered expectations for Falcon Shores last month, when she implied that it was an "iterative" step over the company's previous dedicated AI data center chip, Gaudi 3. "One of the things that we've learned from Gaudi is, it's not enough to just deliver the silicon," Holthaus said during Thursday's earnings call. "Falcon Shores will help us in that process of working on the system, networking, memory -- all those component[s]. But what customers really want is that full-scale rack solution, and so we're able to get to that with Jaguar Shores." "As I think about our AI opportunity, my focus is on the problems our customers are trying to solve, most notably the need to lower the cost and increase the efficiency of compute," Holthaus said. "As such, a one-size-fits-all approach will not work, and I can see clear opportunities to leverage our core assets in new ways to drive the most compelling total cost of ownership across the continuum."

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And it doesn't take a crystal ball to predict the future

If the nonstop flood of ransomware attacks doesn't already make every day feel like Groundhog Day, then a look back at 2024 – and predictions for 2025 – definitely will.…