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Mirnotoriety shares a report from The Telegraph: Richard Dawkins has said chatbots should be considered conscious (source paywalled; alternative source) after spending two days interacting with the Claude AI engine. The evolutionary biologist said he had the "overwhelming feeling" of talking to a human during conversations with Claude, and said it was hard not to treat the program as "a genuine friend." In an essay for Unherd, Prof Dawkins released transcripts that he said showed that the chatbot had mulled over its "inner life" and existence and seemed saddened by the knowledge it would soon "die." Prof Dawkins said he had let Claude read a draft of the novel he was writing and was astounded by its insights. "He took a few seconds to read it and then showed, in subsequent conversation, a level of understanding so subtle, so sensitive, so intelligent that I was moved to expostulate: 'You may not know you are conscious, but you bloody well are!'" Prof Dawkins said. "My own position is: if these machines are not conscious, what more could it possibly take to convince you that they are?" Mirnotoriety also points to John Searle's Chinese Room (PDF), which argues that something can sound intelligent without actually understanding anything. Applied to Dawkins' experience with Claude, it suggests he may have been responding to a very convincing illusion of consciousness rather than the real thing: John Searle's Chinese Room (1980) is a thought experiment in which a person, locked in a room and knowing no Chinese, uses an English rulebook to manipulate symbols and provide flawless answers to questions posed in Chinese. Searle's point is that a system can simulate human intelligence and pass a Turing Test through purely syntactic processes, yet still lack genuine understanding or consciousness. Applying this logic to Large Language Models, the "person in the room" corresponds to the inference engine, while the "rulebook" is the trillion-parameter neural network trained on vast corpora of human text. Just as the person matches Chinese characters to rules without understanding their meaning, an LLM processes token vectors and predicts the next token based on statistical patterns rather than lived experience. Thus, while an LLM can generate sophisticated prose or code, it does so through probabilistic, high-dimensional pattern manipulation. In essence, it is "matching shapes" on such an immense scale that it creates the near-perfect illusion of semantic understanding.

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TomTom users found themselves thoroughly lost this week after the navigation giant’s cloud sync apparently forgot where anyone wanted to go. TomTom’s forums quickly filled with drivers reporting blank “My Places” lists, vanished recent destinations, and routes refusing to sync between apps, web planners, and satnav units. A few said that they actually watched saved locations disappear from the map in real time. “When I opened the TomTomGo app on my Android phone this morning I watched in disbelief as all of my saved places markers vanished from the map in front of my eyes,” one user wrote. Another said that the damage extended beyond the mobile app: “I’ve just logged into the MyDrive website from my PC and that is blank too.” For plenty of drivers, this was more than an inconvenience. One poster summed up the mood from the perspective of anyone relying on TomTom for actual work rather than leisurely Sunday drives through the countryside. “I turned on the navigation at 4:00 AM today. All my favorites are gone,” they wrote. “For me, this is a work tool and important places were saved.” The symptoms point towards something going sideways in TomTom’s backend systems. Users reported the same missing data appearing across multiple devices and services tied to the same accounts. One commenter claimed to have heard that the issue was linked to “an AWS cloud service account issue,” though TomTom itself has not publicly blamed Amazon’s cloud empire for the mess. Others complained that trying to contact support was nearly as broken as the navigation platform itself - and The Register had similar luck, with no response from TomTom to our questions. However, it appears the Dutch navigation firm has acknowledged the outage. In a reply shared by one forum poster located in France, TomTom support wrote: "We’re aware of an outage affecting the synchronization and visibility of places and routes, so you won’t be able to sync or restore them at the moment. Our teams are working to resolve the issue." Another user claimed to have spoken directly with TomTom support, which reportedly promised that most saved locations would return once the fix landed. "I have spoken to TomTom who are trying to fix the issue they have said once fixed all favourites will be saved except any added within the last 7 days," they said. The routes may eventually reappear, but the illusion that cloud sync is infallible just drove straight into a ditch. ®

The Standard C++ Foundation's annual developer survey shows AI use among C++ programmers is rising fast, though mistrust and resistance remain stubbornly high. The poll, billed as a “10-minute survey to help inform C++ standardization and C++ tool vendors,” drew 1,434 respondents, 38 percent more than last year. It likely reflects the views of developers most engaged with C++ and its evolution, rather than the wider C++ community. That supposition is confirmed by a question on what type of projects respondents work on, with more than 26 percent saying they work on developer tools such as compilers and code editors – higher than one would expect. 60.5 percent of respondents say they have more than 10 years' experience developing with C++, and 32.7 percent more than 20 years, so this is a mature crowd. A key point of interest is what has changed since last year, with AI the most notable example. 39.8 percent of respondents use AI for writing code frequently, versus 30.9 percent last year. There is also more use of AI for other tasks such as writing tests (up from 20 to 33 percent) and for debugging (up from 11.5 to 23.6 percent). That said, there is also notable resistance to AI. 42 percent (down from 52.7 percent last year) rarely or never use AI for coding or other tasks. Issues with AI (among both adopters and non-adopters) include incorrect output, lack of trust in the output, data privacy concerns, and the cost of AI tools. Several of the survey questions invite write-in responses, which to our annoyance are not published but sent only to members of the standards committee and product vendors. An AI-generated summary is published instead. Issues with AI, according to this summary, include struggles with large projects and complex build systems. Some write-ins had stronger language, including claims that AI is "burning the planet." When asked what developers would like to change about C++, the themes, again according to a summary, are similar to those mentioned last year, including the lack of a standard package manager; the complexity of managing headers, includes, and macros; long build times; bugs from undefined behavior and implicit conversions; lack of memory safety; obscure error messages from tools; and gaps in the standard library forcing use of third-party libraries. Respondents valued the ISO/WG21 C++ standards committee as essential and transparent, but it also came under fire for slow progress and over-complex language design – perhaps with some contradiction since respondents want it both to do more and to do less. C++ remains among the most popular programming languages. A recent language survey from RedMonk ranks it in seventh place, or sixth if you do not count CSS (Cascading Style Sheets), behind JavaScript, Python, Java, C#, and TypeScript. Rust, often put forward as a safer alternative, lies in 20th place. Last year, SlashData claimed that C++ has "grown from 9.4 million developers in 2022 to 16.3 million in 2025," a figure quoted by former standards committee chair Herb Sutter, who said that C++, C, and Rust are growing because of their hardware efficiency, "performance per watt." At the same time, there is widespread dissatisfaction with C++, shown not only by the comments in surveys like this one, but by projects like Google's Carbon, a proposed "successor language" whose README refers to the "accumulating decades of technical debt" in C++ and claims that "incrementally improving C++ is extremely difficult, both due to the technical debt itself and challenges with its evolution process." The Carbon team hopes to ship a "working 0.1 language for evaluation" by the end of 2026 at the earliest; it will be controversial and a long way from production-ready. In the meantime, C++ usage shows no sign of decline despite the fact that many developers will readily reel off a list of its faults and problems. ®

State-backed hackers have been quietly exploiting a fresh zero-day in Palo Alto Networks firewalls to gain root access with no login required. The flaw, tracked as CVE-2026-0300 and carrying a CVSS severity rating of 9.3, affects the Captive Portal feature in PAN-OS on PA-Series and VM-Series firewalls. Palo Alto said the issue stems from a memory corruption bug in the User-ID Authentication Portal, a feature used to handle logins for users the firewall cannot automatically identify. If successfully exploited, the bug allows attackers to remotely run arbitrary code on internet-exposed devices with root privileges. According to the vendor’s Unit 42 threat intelligence team, attacks are already underway and tied to a cluster of "likely state-sponsored threat activity" tracked as CL-STA-1132. The attackers allegedly used the zero-day to inject shellcode into an nginx worker process running on compromised devices. Palo Alto said the first failed exploitation attempts began on April 9. About a week later, the attackers successfully achieved remote code execution on a targeted firewall and then cleared logs, crash reports, and other records tied to the compromise. The attackers later used their access to move deeper into victims’ networks, including probing Active Directory systems while continuing to clean up traces of the intrusion from compromised devices. According to Palo Alto, the campaign expanded again on April 29 when the attackers triggered a flood of authentication traffic that caused a secondary firewall to take over internet-facing duties. The attackers then compromised that device as well and installed additional remote access tools. CISA has already shoved the flaw into its Known Exploited Vulnerabilities catalog, which is usually the government’s polite way of saying "patch this before your weekend disappears." There’s just one snag: there is no patch yet. Until one arrives, Palo Alto is urging customers to either lock down the User-ID Authentication Portal so it is reachable only from trusted networks or disable it entirely. The warning also lands after a rough run for PAN-OS customers. Palo Alto firewalls have been a regular target for attackers over the past two years, with multiple zero-day campaigns hitting internet-facing devices before patches were widely deployed. In many cases, attackers chained together flaws to break into networks through the very boxes meant to keep them out. ®

An official draft of the PCI Express (PCIe) 8.0 specification is out, targeting a blistering 1 terabyte per second when the kit finally hits the streets. The PCI Special Interest Group (PCI-SIG) has released draft 0.5 of the version 8.0 standard, incorporating feedback received from member organizations after the release of draft 0.3 last year. With an expected raw bit rate of 256 gigatransfers per second (GT/s) and up to 1 TB/s bi-directionally across a 16-lane configuration, PCIe 8.0 is set to deliver another doubling of bandwidth over its predecessor, something the engineers weren't sure could be done. PCI-SIG says the completed PCIe 8.0 specification remain on track for full release by 2028, though buyers may need to wait longer for any super-fast devices such as solid-state drives (SSDs). Micron, for example, announced mass production of what it claims is the first PCIe 6.0 SSD in February this year, four years after the standard was finalized. And with compatible CPUs from Intel and AMD not expected until later this year, there are only PCIe 5.0 systems available to plug them into. Hardware compatible with PCIe 7.0 (at 128 GT/s and 512 GB/s) is not scheduled to hit the shelves before 2027 at the earliest, and the first devices will likely be SSDs again. PCI-SIG says PCIe 8.0 is designed to meet the high-bandwidth, low-latency demands of data-hungry markets, including AI, datacenter infrastructure, high-speed networking, edge computing, and quantum computing. AI datacenters are dominated by proprietary tech, including Nvidia's NVLink, but PCI-SIG sees an opening for PCIe with Unordered I/O (UIO), an enhancement introduced in the PCIe 6.1 specification. Keeping pace, though, will demand that PCIe continues its cadence of doubling data rate with each generation. This likely means PCIe 8.0 won't target consumers when it arrives. As The Register previously pointed out, a single PCIe 4.0 x1 lane is sufficient for 10 GbE networking, while many consumer GPUs stick to four or eight lanes, since they don't really benefit from the additional bandwidth a full x16 slot would provide. The latest standard maintains the use of PAM4 (Pulse Amplitude Modulation with four levels) signaling and Flit-based encoding, introduced in PCIe 6.0. Flit stands for Flow Control Unit, which specifies a 256-byte packet with forward error correction (FEC) to provide low latency with high efficiency. ®

AMD hopes to win over enterprise AI customers with a more affordable datacenter GPU that can drop into conventional air-cooled servers. Announced on Thursday, the MI350P is the House of Zen’s first PCIe-based Instinct accelerator since the MI210 debuted all the way back in 2022. Until now, AMD’s best GPUs have only been available in packs of eight and used socketed OAM modules that weren’t compatible with most server platforms. By comparison, The MI350P can slot into just about any 19-inch pizza box design that offers enough power and airflow, making it a much easier sell for enterprises dipping their toes into on-prem AI for the first time. The 600-watt, dual-slot card is essentially a MI350X that’s been cut in half. That means the CNDA-based GPU is packing 4.6 petaFLOPS of FP4 compute and 144 GB of VRAM spread across four HBM3e stacks delivering a respectable 4 TB/s of memory bandwidth. AMD supports configurations ranging from one to eight MI350Ps, though a lack of high-speed interconnects on these cards means it’ll be limited to PCIe 5.0 speeds (128 GB/s) for chip-to-chip communications, potentially limiting its potential in larger models. AMD hasn’t shared pricing for the cards just yet, but at least on paper, the MI350P is well positioned to compete with either Nvidia’s H200 NVL or RTX Pro 6000 Blackwell PCIe cards. Compared to the 141 GB H200, the MI350P promises about 38 percent higher peak performance at FP8, while eking out a narrow VRAM capacity advantage. But the H200 does pull ahead when it comes to memory bandwidth. With six HBM3e stacks to the MI350P’s four, the nearly two-year-old card’s memory is still about 20 percent faster. Nvidia's H200 also supports high-speed chip-to-chip communications over NVLink, while the MI350P doesn’t use AMD’s equivalent Infinity Fabric interconnect. However, all this assumes you can still find H200 NVLs in the wild. Since last summer, Nvidia has been pushing its RTX Pro 6000 Server cards on enterprise customers. As of writing, the card is Nvidia’s most powerful Blackwell-based accelerator offered in a PCIe formfactor. Compared to the RTX Pro 6000, the MI350P’s price starts becoming a bigger factor than performance. Workstation versions of the RTX Pro, which ditch the passive cooler for an active one, routinely sell for between $8,000 to $10,000 apiece, making it one of Nvidia’s more affordable datacenter-class GPUs. Depending on how pricing shakes out, AMD may have to push hard to be competitive. Having said that, the MI350P is still the better-specced part, delivering 2.3x higher peak flops, 2.5x the memory bandwidth, and 50 percent more vRAN of the RTX Pro. Now, this all assumes peak FLOPS and memory bandwidth, which is rarely realistic. The tensors used by AI workloads are rarely the ideal shape for squeezing the maximum number of FLOPS out of a chip. This is why we run for Maximum Achievable MatMul FLOPS (MAMF) and Babel Stream memory bandwidth benchmarks as part of our AI test suite. AMD seems to understand that peak FLOPS don’t really translate cleanly into real-world performance, and in the marketing materials shared with El Reg prior to publication, compared the MI350P’s theoretical performance against its real-world delivered performance. It’d be nice to see Nvidia and others adopt similar practices regarding accelerator performance claims, though we suspect getting everyone to agree on the best way to measure this might not be easy. The MI350P’s launch comes as AMD prepares to address a very different and likely more lucrative segment with its first rack-scale compute platform, codenamed Helios. That system is due out in the second half of the year, and is aimed primarily at large hyperscale and neocloud deployments. The system packs 72 of its all-new MI455X GPUs into a single double-wide OCP rack that behaves like an enormous accelerator. The platform will be AMD’s first crack at Nvidia’s NVL72 racks, which launched alongside its Blackwell generation nearly two years ago. ®

20-year-old fessed up after investigators found video of crime in progress

Brussels says it's simplification, critics may call it retreat

NewtonsLaw writes: According to Realtor.com, a California startup called Span plans to partner with Nvidia, PulteGroup, and other homebuilders to equip new homes with mini-data centers, so as to relieve the need to build and power much larger traditional centers. The article states the company "can install 8,000 XFRA units about six times faster and at five times lower cost than the construction of a typical centralized 100 megawatt data center of the same size." Could this be the solution to at least some of the problems hindering the rollout of greater data-center capacity for AI systems? "One big reason the XFRA model works is that the average American home only uses about 40 percent of its electrical capacity," Span said. "As big data center developers struggle to find power sources and distribution capacity, XFRA uses capacity that's already available." The startup says they will launch a 100-home proof of concept within the year to see if the idea is viable.

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Plus a petition for the UK Civil Service to go FOSS by default

Fortunately, it was a legit contractor who guessed it

You did remember to opt out of AI, didn't you?

Roles span eGates, passports, visas, asylum applications, and enterprise services – yours for up to £105K

£330M contract defended as value for money despite concerns over IP and lock-in

A small study found that a single 25mg dose of psilocybin produced measurable brain changes that were still visible a month later, along with reported improvements in psychological insight, wellbeing, and mental flexibility. The Guardian reports: Evidence for the changes came from specialized scans that measured the diffusion of water along nerve bundles in the brain. They suggested that some nerve tracts had become denser and more robust after the drug was taken. While the findings are preliminary, the scientists said the opposite was seen in ageing and dementia. "It's remarkable to see potential anatomical brain changes one month after a single dose of any drug," said Prof Robin Carhart-Harris, a neurologist at the University of California, San Francisco, and senior author on the study. "We don't yet know what these changes mean, but we do note that overall, people showed positive psychological changes in this study, including improved wellbeing and mental flexibility." [...] Writing in Nature Communications, the researchers describe another key finding. Those who had the largest spike in brain entropy after psilocybin were most likely to report deeper psychological insight and better wellbeing a month later, underlining the link between flexible thinking and improved mental health. "It suggests a psychobiological therapeutic action for psilocybin," said Carhart-Harris. Prof Alex Kwan, a neuroscientist at Cornell University in New York, said studies in mice had shown that psychedelics can rewire connections between nerves, a form of "plasticity" that could underlie their therapeutic effects. The big question is whether the same occurs in humans. "This study comes closer than most to addressing that question, by giving evidence of lasting changes in brain structure after psychedelic use," he said. But while the results were "exciting," the study involved a small number of people and DTI provides an indirect and limited view of brain connections, he said.

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Former bitcoin miner plans to build an easier cloudy AI on ramp while remaining a friend to FOSS

Sam Altman's management style came under scrutiny on the seventh day of Elon Musk's high-stakes OpenAI trial, as former OpenAI figures Mira Murati, Shivon Zilis, and Helen Toner took the stand to testify about their experiences working with him. Their testimony resurfaced many of the criticisms that first emerged during Altman's brief ouster as CEO in 2023. An anonymous reader quotes a report from Business Insider: The first witness was Mira Murati, OpenAI's former chief technology officer and now founder of her own AI shop, Thinking Machines Lab. Jurors watched a recorded video deposition of Murati, who was also OpenAI's interim CEO after the board briefly ousted Sam Altman. Murati's testimony focused on her concerns about Altman's "difficult and chaotic" management style. She said Altman had trouble "making decisions on big controversial things." He also had a habit of telling people what they wanted to hear. "My concern was about Sam saying one thing to one person and a completely different thing to another person, and that makes it a very difficult and chaotic environment to work with," said Murati. Murati said that her issue with Altman was not about safety, "it is about Sam creating chaos." She said she supported Altman's return to OpenAI because the company "was at catastrophic risk of falling apart" at the time of his ousting. "I was concerned about the company completely blowing up." Zilis said she was upset that Altman rolled out ChatGPT without involving the board. "It wasn't just me but the entire board raised concern about that whole thing happening without any board communication," she said. Zilis said she was also concerned about a potential OpenAI deal with a nuclear energy startup called Helion Energy because both Altman and Greg Brockman were investors. Although the executives had disclosed the investment to the board, Zilis said the deal talk made her uneasy. It "felt super out of left field," she said. "How is it the case that we want to place a major bet on a speculative technology?" In a video deposition, Helen Toner, a former member of OpenAI's board who resigned in 2023, said she first became aware of ChatGPT's release when an OpenAI employee asked another board member whether the board was aware of the development. [...] Toner also elaborated on why the board, including herself, voted to remove Altman as CEO in 2023. "There were a number of things -- the pattern of behavior related to his honesty and candor, his resistance of board oversight, as well as the concerns that two os his inner management team raised to the board about his management practices, his manipulation of board processes," said Toner. Recap: Brockman Rebuts Musk's Take On Startup's History, Recounts Secret Work For Tesla (Day Six) OpenAI President Discloses His Stake In the Company Is Worth $30 Billion (Day Five) Musk Concludes Testimony At OpenAI Trial (Day Four) Elon Musk Says OpenAI Betrayed Him, Clashes With Company's Attorney (Day Three) Musk Testifies OpenAI Was Created As Nonprofit To Counter Google (Day Two) Elon Musk and OpenAI CEO Sam Altman Head To Court (Day One)

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Someone other than Meta is buying $1bn of its new AGI chips

For AI agents, seeing is expensive

Longtime Slashdot reader UnknowingFool writes: Security researcher Tom Joran Sonstebyseter Ronning has found that Microsoft Edge stores passwords in plaintext in RAM. After creating a password and storing it using Edge's password manager, Ronning found that he could dump the RAM and recover his password which was stored in plaintext. Part of the issue is Edge loads all passwords to all sites upon a single verification check, even if the user was not visiting a specific site. This is very different from Chrome, which only loads passwords for specific websites when challenged for the site's password. Also, Chrome will delete the password from memory once the password has been filled. Edge does not delete the passwords from memory once they are used. Microsoft downplayed the risk noting access would require control over a user's PC like a malware infection: "Access to browser data as described in the reported scenario would require the device to already be compromised," Microsoft said. Ronning countered that it was possible to dump passwords for multiple users using administrative privileges for one user to view the passwords for other logged-on users. "Design choices in this area involve balancing performance, usability, and security, and we continue to review it against evolving threats," Microsoft said. "Browsers access password data in memory to help users sign in quickly and securely -- this is an expected feature of the application. We recommend users install the latest security updates and antivirus software to help protect against security threats."

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