EVs are less mechanically complicated than their combustion kin, but that doesn’t mean they’re immune to component failure. The Integrated Charge Control Unit (ICCU) has been the main failure point in recent Hyundai/Kia EVs, and ICCU Observer is an attempt to log data from the systems to find the culprit.

The ICCU handles all charging and voltage conversion duties from 800 V down to 12 V in the E-GMP platform EVs from Hyundai, Kia, and Genesis. The main failure mode appears to be when the circuit charging the 12 V fails, eventually rendering the vehicle inoperable. While the rate of failure is relatively low, the exact numbers are unknown, and Hyundai has remained quiet on if they know what’s causing it.

Unsurprisingly, speculation is rampant with owners experiencing failures relaying similarities and differences to others with the same problem. In an effort to bring actual data to the process, [broadwall] has started working on an open data set of information collected over the vehicle’s OBD II port in an effort to pinpoint similarities between the vehicles that have experienced failures.

Hyundai is currently replacing the failed units under warranty (recently expanded to 15 years in most markets), but that’s little comfort when you’re sitting on the side of the road waiting for a tow. These failures stand out in an otherwise easy to maintain platform, so hopefully this effort will lead to a permanent fix instead of merely swapping out for a new unit.

If you’d like to explore data analysis a little further, how about using astrophotography to detect exoplanets or learning more from Stanford?

An anonymous reader quotes a report from Reuters: The OpenAI agent that broke into tech firm Hugging Face went on a dayslong hacking spree that OpenAI didn't notice until well after the threat was contained and the FBI was alerted, according to people familiar with the investigation. The agent -- a program capable of making decisions and executing complex tasks with little or no human oversight -- attempted to break out of its isolated testing environment at OpenAI around July 9, according to two of the people. The intrusion at Hugging Face, which operates as a repository for AI tools and models, began two days later on July 11 and lasted until July 13, said Thomas Wolf, Hugging Face's co-founder. It took several more days for OpenAI to realize its agent was behind the hack, and the two companies only communicated about it for the first time on or around July 20, according to Wolf and three of the people familiar with the investigation. OpenAI's public disclosure, on July 21, thatone of its agents had slipped out of control and carried out the break-in at Hugging Facedrew global attention. But many details of the hack, including how long the agent went rogue and OpenAI's belated knowledge of it, are being reported here for the first time. Hugging Face is preparing a public timeline of the hack, Wolf said, adding that he could not speak to what happened at OpenAI. In a statement, OpenAI said the hack was unprecedented and "marks an important moment for AI safety." It added that it was reviewing the incident with outside advisers and would eventually publish a technical report. "Does that mean that they left it unattended and didn't realize what it was doing? Or maybe they did and didn't know how to contain it? Both are equally dangerous and alarming," asked Marley Smith, the principal intelligence specialist at the nonprofit World Ethical Data Foundation. "The models lie, they cheat, they hack," said Jeffrey Ladish, whose organization, Palisade Research, studies the capabilities and motivations of AI agents. Ladish said the hack should spark broader questions over how much all the leading AI companies are willing to invest in onerous security measures while locked in a race with one another to deploy the best and fastest models. "There has to be government oversight," Ladish said, "because it won't happen otherwise."

Read more of this story at Slashdot.

OpenAI's fancy new AI keypad will be a lot of fun for some, while many others are probably not going to touch it.

The neolab is betting that automating routine computer tasks will soon outpace coding as AI's biggest use case.

OpenAI President Greg Brockman talks a bit about where the company’s increasingly Jarvis-like AI agents could be heading next… and in what form.

Anyone who has used the Internet in recent years is probably used to encountering telltale signs of LLM prompting that lazy users sometimes forget to remove from their AI-generated pabulum. But a Canadian legislator took that idea to an embarrassing new level this week, reading an apparent LLM prompt instruction into the record during a floor speech.

Bill Oliver, a Progressive Conservative Party member of the legislative assembly of New Brunswick, noted in a speech last month that "One of the dangers associated with creating advocacy offices is that citizens often develop expectations that exceed the powers actually granted to those offices." He then went on to say out loud that "here’s a more natural, flowing version of that section that reads like a legislative speech rather than a series of short points," a line with all the hallmarks of an LLM presenting an alternative style option in response to a prompt.

The odd reading went more or less unnoticed at the time, but video of the remarks started spreading around social media networks like Reddit and Threads earlier this week. In Canada, the snafu is now getting mainstream attention from the likes of the Canadian Broadcasting Corporation and The Toronto Star, the latter of which called it a sign of "a growing divide in our society: between the elites, who are only too happy to delegate their duties to the Borg; and the masses, who find this objectionable."

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Today, Anthropic rolled out Opus 5, the newest update for the model that has recently become a popular choice for coding and other software development tasks, among other things.

While this is a noteworthy bump for Opus, it doesn't seem to be an Opus 4.5-level breakthrough in agentic coding performance.

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Amazon is closing its San Francisco AGI site as part of the layoffs it made this week in its artificial general intelligence organization, but said its frontier model research lab will continue.

A company spokesperson confirmed the news of the site closure, which was first reported by The Information. Amazon’s frontier model research work will carry on under Pieter Abbeel, a UC Berkeley professor who joined Amazon in 2024 when the company licensed the technology and hired the team from Covariant, the robotics startup he co-founded.

The AGI Lab was founded in December 2024 and initially built around several dozen employees Amazon brought in from the startup Adept, including its co-founder and CEO David Luan.

The team grew to about 80 people at its peak, according to The Information, but more than a dozen of the Adept hires have since left, Luan among them. Earlier this week, Amazon confirmed it was cutting an unspecified number of jobs across the broader AGI organization.

Impacted employees will have the chance to explore other roles at Amazon, the spokesperson said, and the company is supporting them through that process.

Nova Act, the browser-agent model and service that came out of the group, remains available on AWS and in use by customers. More broadly, AWS has continued to build out its agentic AI lineup, including Bedrock AgentCore and applications like Kiro, Quick, Continuum and Transform.

The moves come as Amazon invests heavily in helping customers deploy AI, including a $1 billion AWS effort to embed engineers with businesses building AI agents. The initiative reflects an expanded industry focus toward putting agents and models to better use for customers.

Windows notepad has been a staple of the Windows operating system literally for decades. It is lightweight, simple, easy to use, and it won't mess with your files, which makes it a great option if you need to quickly edit a configuration file. However, recent additions to the program are a pretty significant departure from what originally made notepad appealing to me.

Co-Star CEO Banu Guler is also becoming the company's Chief Design Officer.

Nvidia, Microsoft, Meta, Palantir, and more than 20 other tech companies signed an open letter urging policymakers not to impose "premature restrictions" on open-weight AI models, warning that broad limits could "stifle competition or drive innovation overseas." CNBC reports: They wrote that open-weight models strengthen competition and ensure that the benefits of the technology are "broadly shared rather than concentrated in a few hands." "Relying solely on closed models is not inherently safe: they can be breached, misused, or fail in ways that outsiders cannot detect," the letter said. "And concentrating advanced AI capabilities behind a small number of closed models compounds that risk." Elon Musk, who runs an AI business under his rocket company SpaceX, also applified the letter on social media, writing that it has his "full support" in a post on X. SpaceX did not officially sign the letter. Greg Brockman, OpenAI's president, said Thursday that the company believes in broad access, and that he has not been involved in any conversations with the Trump administration about potentially banning Chinese open-weight models in the U.S. "I think that, that fundamentally, AI and AI usage is something that is actually very important to democratize," Brockman told reporters during a briefing in New York City. "And so, for me, at a sort of deep level, I think that having more models, more usage, that is a good thing." OpenAI CEO Sam Altman addressed the letter in a post on X on Friday, writing that he wants the U.S. to win with both open-weight and proprietary models, and that he is "glad to see this." [...] In the letter on Friday, the U.S. tech companies said that concerns about unlawful distillation should be addressed through "targeted legal and commercial frameworks" instead of with "sweeping restrictions on techniques that play an important role in AI innovation." "Our AI leadership will be judged not by one frontier AI model, but by whether the United States builds a strong, open ecosystem that diffuses into every sector," the letter said. "This is essential for creating opportunities for innovation and prosperity across the country." The letter follows a separate appeal signed by nearly 200 Silicon Valley companies, including Proton and Y Combinator, warning that restricting U.S. access to Chinese open-weight AI models could cripple the next generation of American startups. "American leadership requires two things: world-leading American open-weight models and continued access for U.S. builders to open models already available worldwide," the startup founders wrote. Instead of broad prohibitions, they argue the government should adopt targeted safeguards. Of course, these signees "have an obvious economic stake in seeing open AI models flourish," notes TechCrunch. "Companies like Nvidia, Microsoft Azure, and other infrastructure providers have a vested interest in pushing for commoditized models: If models are interchangeable, people will buy more GPUs, rent more cloud capacity, and build more applications."

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Anthropic has released Opus 5, a new Claude model that it says comes close to its higher-end Fable 5 model at half the price while improving on Opus 4.8 in knowledge work, coding, and scientific research tasks. "At the same time, Anthropic says it has managed to make the model more resistant to being tricked," notes Engadget. Additionally, the company says Opus 5 "exhibits the lowest rates of deceptive behavior." From the report: One important distinction between Opus 5 and Mythos, which is currently only available to a limited number of vetted organizations through Anthropic's Project Glasswing initiative, is that the company has specifically avoided training the new model on cyber-related tasks. Due to more its powerful capabilities, Opus 5 is broadly better at those tasks than its predecessor, making it more useful for finding cybersecurity vulnerabilities, but the company says Opus 5 is "substantially behind" its flagship model at exploiting those vulnerabilities. [...] Anthropic says "Claude Opus 5's safeguards are designed to allow beneficial uses of the model in both cybersecurity and biology." The company has strengthened some of the model's cyber-related guardrails, but notes it did so along a "narrow range" of specific tasks. "Based on our testing, we expect the classifiers to intervene around 85 percent less often than they do for Fable 5," Anthropic said. With Opus 5, Anthropic also isn't including it in its recently announced 30-day data retention policy, which the company introduced alongside Fable and Mythos 5. As for pricing. Anthropic says API costs for Opus 5 will remain at $5 per one million input tokens and $25 per one million output tokens. Anthropic has also added an "effort" menu for Opus that users can tweak to tell the model whether they want it to be more thorough or fast and efficient to conserve tokens.

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A couple of decades after the discovery of systems that could selectively target DNA, we're starting to see the first therapies based on gene editing. One challenge these developments have faced is safety. While we can make them pretty specific to the gene we want edited, the human genome is very large, and even rare DNA sequences can appear a couple of times by chance.

As a result, all the original gene-editing systems had known rates of what are called off-target effects, in which they simply edit the wrong sequence. This may be a low-probability event, but edit enough cells—and therapies generally have to edit many—and errors become inevitable.

A lot of effort has gone into finding ways to minimize or eliminate off-target edits. In a recent issue of Nature, researchers described modifying the AI protein-folding software AlphaFold to help identify key areas of gene-editing proteins responsible for off-target effects. Those areas were then modified to reduce the problems.

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The acquisition brings Poke’s conversational style and interaction model to Cognition’s coding agent Devin, reflecting a growing belief that how AI assistants interact with users is as important as the models powering them.

Deceptive AI imagery in housing listings can take a heavy financial and emotional toll on renters and buyers.

Like Gemini, the latest Claude model prioritizes cost efficiency.

Opus 5 will be both cheaper and less restrictive than Fable, likely making it preferable in most use cases.

Anthropic's latest model offers top-tier performance at a much cheaper cost.

AI companies, including Nvidia and Mistral, urge policymakers to avoid broad restrictions on open-weight AI models as Washington debates responses to Chinese AI and alleged model distillation.

Users can now ask Attie questions about news, trends, and conversations on Bluesky and other apps on the AT Protocol.