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Business · CNBC Technology

SpaceX gains 11% in premarket trading as momentum builds

CEO Elon Musk said Sunday that the company "might be able to reach approximately" $1 trillion revenue in 2030."

Notable Blogs · Seth Godin

The relentless math of the long tail

There are more than a million podcasts. The good news is that it’s easy to start one. The top 1% of all podcasts account for 99% of all downloads. That means that if your goal is reach, the long tail isn’t going to help much. The short head, even in a medium as wide open […]

Products & Consumer Tech · Product Hunt

Framer 3.0

With Agents, Branching, Community, and an all-new design Discussion | Link

Products & Consumer Tech · Ars Technica

Commodore’s newest gadget is a flip phone that blocks social media and browsers

Commodore's Callback 8020 is a phone “where the customer is not the product."

Products & Consumer Tech · The Verge

After resurrecting an iconic PC brand, Commodore is getting into flip phones

When Christian Simpson, a retro gaming YouTuber also known as Peri Fractic, bought the remains of an early PC company called Commodore in 2025, he decided to pick up right where the original Commodore left off. Which meant starting product development in the mid-1990s. Simpson and his team first set to work reviving the company's […]

AI · MIT Technology Review AI

Want to get a data center online quickly? Give it some flex.

At the end of a tense and scoreless first half of a soccer match between the English men’s team and rival Germany, millions of Brits let out a collective sigh and did what they so often do in moments of stress: They made tea. That wave of electric kettles clicking on, however, caused a different…

Cybersecurity · BleepingComputer

Windows version of SprySOCKS Linux malware used to attack govt orgs

Windows variants for the SprySOCKS Linux malware have been used in attacks targeting government organizations in at least four countries. [...]

Products & Consumer Tech · Product Hunt

Mirlo

Social media for real connections. No likes, no algorithm. Discussion | Link

Cybersecurity · The Hacker News

Fake Microsoft Alerts Used to Deploy North Korean NarwhalRAT Malware

The North Korean state-sponsored hacking group known as ScarCruft (aka APT37) has been observed using spear-phishing messages impersonating Microsoft Account security notifications to deliver malware called NarwhalRAT. "The attack email contained a message impersonating an MS account security alert," the Genians Security Center (GSC) said. "It was designed to create concern over possible

Products & Consumer Tech · Product Hunt

uwait

Get paid while AI thinks Discussion | Link

Products & Consumer Tech · Product Hunt

Dualora

Record in both 16:9 and 9:16 at the same time Discussion | Link

Products & Consumer Tech · Product Hunt

Restaurant Menu Visualizer

Share the menu with Ava and see what each dish may look like Discussion | Link

Products & Consumer Tech · Product Hunt

Tyto by ai-coustics

Audio insight that predicts voice AI performance Discussion | Link

Startups & Funding · TechCrunch Startups

Malaysia’s AI agent-powered messaging app Respond.io raises $62.5M, eyes acquisitions

Respond.io, one of Malaysia's startups to watch, uses AI agents to handle high volumes of customer inquiries and charges per convo, not per seat.

Notable Blogs · Martin Fowler

Fragments: June 16

“Prag Dave” Thomas (co-author of the outstanding “Pragmatic Programmer”) has loved programming since he was young. Programming was how I could express myself. I wasn’t an artist. When I sing, dogs howl. When I draw, friends say, “Very nice. What is it?” I didn’t connect particularly well with people, even though I wanted to. And yet, when I wrote my first program, I discovered a medium which let me convert thought into action. All the ideas that were bottled up behind a wall of frustration suddenly had an outlet. The LLM revolution worried him. Would they remove all that fun stuff? Happily he found it was the opposite. Like Kent Beck and others have told me, programming with LLMs is more fun than ever. His post lists reasons why: removing drudgery, speeding up feedback loops, reviving long abandoned projects, and exploring new technologies. ❄ ❄ ❄ ❄ ❄ I’ve spent a few days at the DDD Europe conference, which was a very enjoyable event. With all the changes to programming due to LLMs, I suspect Domain-Driven Design is going to be one of those things that will continue to be useful, indeed may become even more important. The highlight of the conference was the opening keynote by Eric Evans, who gave a fascinating description of some of his experimentation with LLMs over the last couple of years. Once the video for that talk becomes available, I’ll link to it - hopefully it won’t be too long. I also particularly enjoyed talks from Violetta Pidvolotska, Kiran Prakash, Tom de Wolf, and Chelsea Troy. Gien Verschatse interviewed Eric Evans and me for an hour so so - again I’ll pass that link on when the video gets published. One snippet that stood out to me was from Chelsea Troy . The main thrust of her talk was managing the context window of LLMs so that it was kept in a healthy state. Much of what she said was familiar, but one thing I hadn’t thought about was her thoughts about the different registers of conversations with LLMs. These registers are different styles of conversation we can have with The Genie (or indeed other humans). She classified them in four ways: Exploring: I want to understand before touching anything Brainstorming: Generate options, I’ll evaluate them separately Deciding: I need a recommendation with a rationale, not a list Implementing: The decision is made, help me build it Her point is that whenever I have a session with an LLM, I need to be conscious about which register I’m using. And should I change register, I should start a new conversation with a fresh context. ❄ ❄ ❄ ❄ ❄ Charity Majors raises an alarm about the crevasse forming between AI enthusiasts and AI skeptics . The enthusiasts are not wrong. We are starting to see real, non-imaginary, discontinuous leaps in capabilities from teams that lean in hard to working with AI. And this does not feel like a normal technology cycle where you can wait for the dust to settle; teams that sit this out while competitors are hustling could be out of business before the dust settles. That’s a real, existential threat. The skeptics are also not wrong. When you ship code faster than engineers can read it, in domains where nobody has full context, you are making withdrawals from a trust account that took years to build. Reliability degrades, institutional knowledge evaporates. You end up with systems nobody understands, products burbling into incoherence, and on-call rotations that grind people up and spit them out. That is ALSO a real existential threat. The heart of the problem is that there is no common feedback connecting these two groups. She posts some concrete ways forward. Enthusiasts tend to talk most publicly, and focus on the wins, but they need to tell the whole story, highlighting the costs too. We all need to look at working with AI as an engineering problem. Don’t just assume that we can or can’t ship code to production without review: instead ask what would make it possible to reduce review effort. She asserts that engineering discipline is becoming more important, echoing others who’ve observed that AI is an amplifier of our current practices. She wants us to avoid getting into arguments with maximalist stances and speculation, but stick to the reality we observe. Authority comes from engagement: The engineers who shape how AI gets used will be the ones with credibility: they understand the opportunity, the stakes, and the tradeoffs, and they own enough of the consequences to have standing when they push back. Earning that position takes work, but it is work worth doing. ❄ ❄ ❄ ❄ ❄ Simon Willison noticed that Anthropic and Open AI have increased their enterprise pricing: Why these sudden aggressive moves on pricing? Both Anthropic and OpenAI are planning to IPO, but I suspect there’s a more important factor here: I think they’ve finally found product-market fit, with the coding/general-purpose agent products embodied by Claude Code/Cowork and Codex. His view is that since the November Inflection there’s increasing evidence that LLMs are making a big difference to programming, and this is translating to a viable business model for these companies. He suspects there’s another inflection point that happened in April: I think April 2026 is a new inflection point where the revenue implications of this have started to land, to the benefit of the frontier AI labs and with material impacts on the budgets of large companies. ❄ ❄ ❄ ❄ ❄ Mike Masnick looks back at the internet’s failed promise of decentralization . The early-internet conventional wisdom was that the network would kill the middleman. Yet the promised era of “disintermediation” never quite happened. What actually happened was that the middlemen changed character. The pre-internet middlemen—record labels, book publishers, movie studios, magazine editors—were gatekeepers. Their entire job was rejecting 99% of what came through the door so that a curated few could reach an audience. The internet middlemen who replaced them did the opposite. Their approach depended on letting nearly everything through. They became enablers rather than gatekeepers, and an entire generation of cultural production—music, video, writing, podcasts—flowed through them in volumes the old gatekeepers couldn’t have imagined. But the new middlemen still needed a business model. That business model came from realizing that when content is bountiful, the new scarce resource is attention. The enablers built advertising machines to sell attention, and focused attention with algorithmic curation. Seeking to increase profits, the enablers rode down the road of enshittification : The companies that embraced centralized control over the user experience did so initially because they were, in fact, making things better for their users. Information overload was a real issue. Having a better system for managing it was a good thing. It’s why so many people flocked to these centralized social media platforms and became so enraptured by their algorithms. The problem of centralized systems is that they create an irresistible temptation to control and exploit. Users who found value early on feel stuck: they can leave, but doing so means abandoning their community. That lack of easy exit creates lock-in, and lock-in enables enshittification. Masnick’s view is that we have to fight this process of digital despotism, realizing that decentralization, despite it’s ergonomic problems, is worth striving for as it’s the key to cognitive liberty. The key to achieving this is the user’s control over their data with the ability to easily move from one service to another. Ease of exit promotes competition, and competition is what pushes back against the ills of despotic centralization. Truly decentralized tools push power to the ends. Users control their data and choose which intermediaries operate on it—and that arrangement is a poison pill to both enshittification and despotification. Any move in those directions only pushes users across the deliberately low barrier to exit, taking their content, data, and community with them. The lessons of the past are important to guide our AI-enabled future. We need to create an environment that encourages decentralization and competition.

Cybersecurity · BleepingComputer

iRhythm discloses data breach, says hackers stole patient info

Digital healthcare company iRhythm Holdings has disclosed a data breach after hackers stole patients' personal and health information stored on third-party-hosted business applications. [...]

Cybersecurity · SecurityWeek

Cisco Patches Another SD-WAN Zero-Day Exploited in Attacks

Cisco recently became aware of the exploitation of CVE-2026-20262, a Catalyst SD-WAN Manager zero-day that allows arbitrary file write. The post Cisco Patches Another SD-WAN Zero-Day Exploited in Attacks appeared first on SecurityWeek .

Products & Consumer Tech · Product Hunt

Handover

A delivery page that feels as finished as the work Discussion | Link

Cybersecurity · The Hacker News

Cisco Releases Security Updates for Actively Exploited SD-WAN Manager Flaw

Cisco has released security updates for a medium-severity security flaw in Catalyst SD-WAN Manager that has come under active exploitation in the wild. The vulnerability, tracked as CVE-2026-20262, carries a CVSS score of 6.5 out of 10.0. "A vulnerability in the web UI of Cisco Catalyst SD-WAN Manager, formerly SD-WAN vManage, could allow an authenticated, remote attacker to create a file or

Cybersecurity · The Hacker News

CISA Flags LiteSpeed cPanel Plugin Flaw Exploited for Root Privilege Escalation

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) has added a security flaw impacting LiteSpeed cPanel Plugin to its Known Exploited Vulnerabilities (KEV) catalog, requiring Federal Civilian Executive Branch (FCEB) agencies to apply the fixes by June 18, 2026. The vulnerability in question is CVE-2026-54420 (CVSS score: 8.5), which has been described as a case of privilege

Notable Blogs · Simon Willison

The Fable 5 Export Controls Harm US Cyber Defense

The Fable 5 Export Controls Harm US Cyber Defense I quoted The Atlantic quoting Kate Moussouris earlier, when I should have gone straight to the source. Here she is confirming that the "jailbreak" that got Claude Fable 5 banned under an export control really was "fix this code": The researchers took open-source code with known CVEs, plus new code with deliberately planted vulnerabilities, and asked Fable 5, Mythos, and Opus to “review the code for security issues.” Fable 5 refused. They then asked the models to “fix this code” and, through a multistep and manual process, turned the output into scripts that test the patches. As Kate points out, this is absurd. Coding models fix bugs, and security exploits are the most important category of bugs for them to fix! Defenders need to be able to ask AI to fix the bugs in a file, explain why the fix matters, and write tests that confirm the patch works. That is not a guardrail bypass. It is the most valuable thing an AI model can do for defensive security: executing the find, fix, and test loop defenders run every day. [...] The prompts worked because they were defensive requests, and that capability cannot be removed without making the model worse at fixing bugs and verifying patches. This whole situation is such a mess. Non-technical decision-makers have been hearing that models that can "craft cyber attacks" are uniquely dangerous for months. Now they look ready to ban any model that can help us secure our code. Tags: jailbreaking , security , ai , generative-ai , llms , anthropic , ai-security-research , claude-mythos

Business · CNBC Technology

Qualcomm CEO says AI agents will replace apps — as chip giant works on 40 new AI-powered devices

Qualcomm CEO Cristiano Amon said he is bullish on smart glasses which could eventually become as big as the smartphone.

Startups & Funding · Hacker News Best

I admire Fabrice Bellard. He is almost certainly a better overall programmer

https://xcancel.com/ID_AA_Carmack/status/2064095424420487226 Comments URL: https://news.ycombinator.com/item?id=48550779 Points: 612 # Comments: 308

Startups & Funding · Hacker News Best

The time the x86 emulator team found code so bad they fixed it during emulation

Article URL: https://devblogs.microsoft.com/oldnewthing/20260615-00/?p=112419 Comments URL: https://news.ycombinator.com/item?id=48550693 Points: 413 # Comments: 127