When XPENG invited me to Munich for the global debut of the L03, I expected to see another electric SUV launch. Instead, I found myself looking at a company trying to redefine what a car can be, with AI-powered vehicles, robots, robotaxis, and flying machines all part of the same plan.
Samsung's Galaxy Z Fold8 Ultra and Fold8 debut at Unpacked 2026 with new cameras, AI tools, prices, and clear trade-offs for buyers choosing a foldable.
Ancient Slashdot reader alanw shares a post from the OSS Security mailing list, where sysadmin Jan Schaumann wonders what to do after the Linux kernel cranked out 432 CVEs in a little over 24 hours: "I understand the position that CVEs were always a flawed way to track or prioritize security changes... But this onslaught really shows it's not feasible to attempt to prioritize individual kernel changes. I'm not sure what to do here going forward." The Register reports: The nixCraft team speculated on social media that AI bug reports are a likely reason for all those kernel CVEs, which wouldn't be without precedent - Linus Torvalds himself said in May that the Linux kernel security mailing list had become "almost entirely unmanageable" due to AI-assisted bug hunting. Nonetheless, Torvalds has described AI as a useful tool for Linux development while still noting it can be a drag for maintainers, both from a workload standpoint and the fact "it keeps finding embarrassing bugs." [...]
Unfortunately for Linux sysadmins, the position in which they find themselves in this current mess isn't one that's readily solved. CVEs might be a messy way to track and prioritize security updates, especially when hundreds of them are published over a short period, but without something better, it falls to IT and security teams to determine which vulnerabilities affect their systems and which kernel updates they need to deploy. Senior kernel maintainer Greg Kroah-Hartman replied to Jan's post, pushing back on the idea that the kernel's CVE volume is uniquely unmanageable. The kernel isn't special, he argues -- companies everywhere are finally realizing they need to re-evaluate how they update all of their systems and devices, something that's traditionally been "woefully ignored."
On the "just always update" approach, Greg says that's precisely what the kernel community endorses: "This is what the kernel developer community recommends and supports. If you want support from us, do this." Can't manage it yourself? Pay a company for support, or "just use Debian or Yocto as their security practices are amazing." He points to Android as proof the approach scales, calling it "the largest deployment of software in the world" -- billions of devices kept updated "with one very-overworked developer guiding it all."
As for reviewing every CVE individually, he notes this can be largely automated by intersecting the files a CVE touches with the files you actually build, which typically trims the relevant set "down to about 10% of the overall total" -- the approach enterprise distros already take for their customers. Panic-mode selective patching gets a blunt "Good luck with that!" -- regulations like the EU's Cyber Resilience Act are set to legislate that habit away ("rightfully so," in his view), and "your insurance company might wish to have a talk with you as well."
Greg also warns the flood isn't over: "The number of llm-found issues is only on the rise right now, it's going to be a very long 18 months at the least to dig ourselves out of this mess, and people had BETTER be updating their systems all along the way if they expect to be secure in any way." As for the 432-CVE burst itself, he explains it was simply him catching up on a weeks-old, publicly visible review queue over the weekend -- delayed by "a perfect storm of 6 weeks straight of conferences and vacations" -- so it shouldn't have come as a surprise to anyone watching the public git repo.
Samsung's Galaxy Z Fold8 Ultra and Fold8 debut at Unpacked 2026 with new cameras, AI tools, prices, and clear trade-offs for buyers choosing a foldable.
XRP price has climbed nearly 4% to a two-week high of $1.1574 as Bitcoin’s return above $65,000, whale accumulation and fresh ETF inflows have supported its latest recovery. According to data from crypto.news, XRP (XRP) price was trading near $1.14…
Investment bank Benchmark has raised its price target on Bitcoin miner Hut 8 following news that the company had signed a second 15-year lease worth $9.8 billion for its AI data center.
Equity research analyst Mark Palmer reiterated his “buy” rating on the Toronto- and Nasdaq-listed miner in a note Wednesday, raising its price target to $195, up from $165 — an 80% upside from Hut 8’s current share price of nearly $110 a pop.
Palmer argued that the deal validates Hut 8’s “power-first” approach to building out AI infrastructure.
Hut 8 announced Monday that it had signed a second 15-year lease for 352 megawatts of IT capacity at its Beacon Point campus in Nueces County, Texas — doubling the site’s tenant to 704 MW of contracted capacity and fully commercializing the campus against its 1,000 MW of utility capacity. Hut 8 shares climbed over 10% on the news, closing near $101 after peaking above $106.
Palmer estimates the new Beacon Point lease alone could contribute roughly $655 million a year in net operating income once stabilized, pushing the campus’s total contract value as high as $50.2 billion if renewal options are exercised.
Hut 8 is among a growing list of publicly traded Bitcoin miners pivoting toward AI and high-performance computing as mining margins get squeezed by a falling Bitcoin price and rising difficulty.
The company struck a Google-backed deal in December with Anthropic and Fluidstack to build out as much as 2.3 gigawatts of AI data center capacity in the U.S.
Hut 8’s mining ventures
Rivals including Terawulf, IREN, and Cipher Mining have signed similar multi-year HPC contracts with Google and Microsoft, while Bitfarms said last year it would wind down its mining operations entirely to focus on high-performance computing.
Hut 8, by contrast, has kept its mining business running through its majority stake in American Bitcoin, the mining venture backed by Eric Trump and Donald Trump Jr.
Hut 8 is scheduled to report second-quarter earnings on August 4.
In a July 21, 2026 blog post, Lightning Labs described Wavelength as “Bitcoin on Easy Mode for Agents and Humans.” The company stated that the Lightning Network already delivers instant, global, low-fee payments under user control, but previously required infrastructure most builders preferred not to operate. Wavelength closes that gap by turning the hard parts of Bitcoin and Lightning integration into a handful of API calls.
High-Level Overview
Wavelength embeds a self-custodial wallet that runs inside web or mobile apps (via WebAssembly or compiled binaries) or as a standalone client. Users control their own keys on-device. The system supports on-chain Bitcoin, Lightning payments via atomic swaps, and an Ark-like settlement layer for fast, low-cost off-chain transfers that can settle in batches to the blockchain. Every off-chain payment uses a standard BOLT 11 invoice, so the wallet interoperates with the existing Lightning Network from the first integration.
Lightning payments route through Loop for deep, reliable liquidity. A coordination service settles transfers between users but never takes unilateral control of funds. According to the announcement, users can always perform a unilateral exit to on-chain Bitcoin at any time via an explicit exit command, without needing cooperation, the Wavelength SDK is open source.
The same Wavelength API is exposed to AI agents as typed tool calls through the Model Context Protocol (MCP). Agents can hold balances and pay for API calls, data feeds, or other agent services in fractions of a cent. Wallet creation and unlocking designed to remain outside the agent channel so seeds and passwords are not exposed to the model. This pairs with L402, Lightning Labs’ protocol for machine-native authentication and per-request Lightning payments.
Core commands cover the full lifecycle: create/unlock, balance, recv (for addresses or invoices), send, activity, and exit. Integration options include the embedded SDK, a gRPC/REST API, browser WASM package, and an MCP server. Documentation is structured for both human developers and agents, including llms.txt indexes and agent onboarding guidance.
Availability and Roadmap
Wavelength is available immediately on Signet and testnet. Mainnet access is invitation-only; interested parties can request it after installing the toolkit. Bitcoin is supported at launch. Stablecoin support is planned via Taproot Assets so the same API surface can handle both. Future work includes deeper mobile embedding and optional direct Lightning channel support using Lnd.
Lightning Labs noted in its announcement that during the closed alpha, Lightning transactions carry a minimal 1 basis point service fee (plus standard network routing fees), with ordinary Bitcoin network fees applying for on-chain activity. Pricing may evolve.
On X, Lightning Labs summarized the release: “Announcing Wavelength, the easiest way to integrate bitcoin for agents and humans. With a simple non-custodial API, anyone can integrate Lightning into their app and get instant, high volume, low fee transactions. Machines can pay machines. Humans can pay humans. Anywhere.” A follow-up post directed builders to a form for early mainnet access.
The release positions Wavelength as infrastructure that lowers the barrier for application developers, “vibe coders,” and autonomous agents to offer self-custodial Bitcoin payments by default rather than as a specialist feature. Full documentation, quickstarts, and the open-source repository are available at wavelength.lightning.engineering and the linked GitHub project.
Samsung’s $1,199 Galaxy Z Flip8 adds a thinner design, expanded FlexWindow tools, and new AI controls while retaining the same battery and rear cameras.
Threat actors are using a new technique called “phantom squatting” to trick AI tools into directing users to phishing sites, according to researchers at Palo Alto Networks’ Unit 42.
Since AI models frequently hallucinate phony information, they sometimes point users to websites that don’t exist. Threat actors are now registering these AI-hallucinated domains and using them to host phishing sites.
Samsung’s $1,199 Galaxy Z Flip8 adds a thinner design, expanded FlexWindow tools, and new AI controls while retaining the same battery and rear cameras.
Amazon confirmed Wednesday that it laid off an unspecified number of employees in its artificial general intelligence (AGI) organization, the division working on the company’s advanced AI models.
The move, first reported by Reuters, comes as the company invests heavily in programs to help businesses implement AI effectively, including a $1 billion initiative to embed AWS engineers with customers building agentic AI systems.
It’s part of a larger shift in the industry as tech giants and AI frontier labs look to make sure the enormous sums they’re spending on AI pay off in tools businesses actually use.
In a statement, an Amazon spokesperson said building large AI models remains “one of the most important things we’re working on,” but said the company is also “sharpening our focus on the initiatives that matter most for customers, so we can move faster on what counts.”
“That focus means some difficult decisions, including eliminating some roles within parts of our AGI organization, even as we continue to invest in the areas most important to our customers’ future,” the spokesperson said.
It’s the latest in a series of changes in Amazon’s AGI group, which despite its name has always been focused more on frontier models than on what the industry considers AGI, the still-theoretical systems that would match or surpass human intelligence.
Rohit Prasad, the senior executive who oversaw Amazon’s AGI work, left the company late last year, and AGI Lab head David Luan departed in February. In December, Amazon folded the AGI group into a larger organization led by senior vice president Peter DeSantis that also includes chip development and quantum computing.
The cuts are the latest in a series of smaller reductions since January, when Amazon eliminated 16,000 jobs across the company. Amazon said U.S. employees whose jobs are cut will receive 90 days of pay and benefits, outplacement support and transitional health coverage, along with eligibility for severance.
OpenAI made a mistake setting up what it called a “highly isolated” testing environment and sandbox. According to cybersecurity experts, that human mistake is what made the AI-powered attack on Hugging Face possible.
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