Kyle Orland writes via Ars Technica: The "first official Unity user group in the world" has announced that it is dissolving after 13 years because "the trust we used to have in the company has been completely eroded." The move comes as many developers are saying they will continue to stay away from the company's products even after last week's partial rollback of some of the most controversial parts of its fee structure plans.

Since its founding in 2010, the Boston Unity Group (BUG) has attracted thousands of members to regular gatherings, talks, and networking events, including many technical lectures archived on YouTube. But the group says it will be hosting its last meeting Wednesday evening via Zoom because the Unity of today is very different from the Dave Helgason-led company that BUG says "enthusiastically sanctioned and supported" the group at its founding.

"Over the past few years, Unity has unfortunately shifted its focus away from the games industry and away from supporting developer communities," the group leadership wrote in a departure note. "Following the IPO, the company has seemingly put profit over all else, with several acquisitions and layoffs of core personnel. Many key systems that developers need are still left in a confusing and often incomplete state, with the messaging that advertising and revenue matter more to Unity than the functionality game developers care about."

BUG says the install-fee terms Unity first announced earlier this month were "unthinkably hostile" to users and that even the "new concessions" in an updated pricing model offered late last week "disproportionately affect the success of indie studios in our community." But it's the fact that such "resounding, unequivocal condemnation from the games industry" was necessary to get those changes in the first place that has really shaken the community to its core. "We've seen how easily and flippantly an executive-led business decision can risk bankrupting the studios we've worked so hard to build, threaten our livelihoods as professionals, and challenge the longevity of our industry," BUG wrote. "The Unity of today isn't the same company that it was when the group was founded, and the trust we used to have in the company has been completely eroded."

An anonymous reader shares a report: Following the launch of the iPhone 15 series today, a few readers of our website have reached out to highlight that the devices support USB-C to Ethernet adapters, allowing for a wired internet connection with faster download speeds than Wi-Fi. Apple confirmed this information in a support document last week, with USB to Ethernet adapters listed as compatible with iPhone 15 models. When an iPhone is connected to an Ethernet cable, an otherwise hidden Ethernet menu appears in the Settings app with IP-related information and various configuration options.

Cisco agreed to buy Splunk in a deal valued at about $28 billion, representing its biggest acquisition yet and a massive push into software and artificial intelligence-powered data analysis. From a report: Cisco will pay $157 a share in cash, the companies said in a statement Thursday, or a 31% premium to Splunk's previous closing price on Wednesday. Cisco has been expanding its software and services business in an attempt to rely less on its hallmark networking hardware. The Silicon Valley giant has traditionally generated the bulk of its revenue from equipment that forms the backbone of computer networks, but that's been changing. Last month Cisco outlined the headway it's making in artificial intelligence and security technology.

The deal is also arguably just as much a bet on artificial intelligence as it is on the business of software and data security. Earlier this year, Splunk announced a new line of AI offerings that it said would, among other things, allow companies to detect and respond to anomalies in their data faster. The merger offers the companies' AI products "substantial scale" and more visibility into data, they said in Thursday's statement.

The infrastructure behind popular AI workloads is so demanding that Schneider Electric has suggested it may be time to reevaluate the way we build datacenters. The Register reports: In a recent white paper [PDF], the French multinational broke down several of the factors that make accommodating AI workloads so challenging and offered its guidance for how future datacenters could be optimized for them. The bad news is some of the recommendations may not make sense for existing facilities. The problem boils down to the fact that AI workloads often require low-latency, high-bandwidth networking to operate efficiently, which forces densification of racks, and ultimately puts pressure on existing datacenters' power delivery and thermal management systems.

Today it's not uncommon for GPUs to consume upwards of 700W and servers to exceed 10kW. Hundreds of these systems may be required to train a large language model in a reasonable timescale. According to Schneider, this is already at odds with what most datacenters can manage at 10-20kW per rack. This problem is exacerbated by the fact that training workloads benefit heavily from maximizing the number of systems per rack as it reduces network latency and costs associated with optics. In other words, spreading the systems out can reduce the load on each rack, but if doing so requires using slower optics, bottlenecks can be introduced that negatively affect cluster performance.

The situation isn't nearly as dire for inferencing -- the act of putting trained models to work generating text, images, or analyzing mountains of unstructured data -- as fewer AI accelerators per task are required compared to training. Then how do you safely and reliably deliver adequate power to these dense 20-plus kilowatt racks and how do you efficiently reject the heat generated in the process? "These challenges are not insurmountable but operators should proceed with a full understanding of the requirements, not only with respect to IT, but to physical infrastructure, especially existing datacenter facilities," the report's authors write. The whitepaper highlights several changes to datacenter power, cooling, rack configuration, and software management that operators can implement to mitigate the demands of widespread AI adoption.

Reddit's forum about home food canning used to have two moderators with science-related master's degrees. And Reddit's home automation forum used to be moderated by a former IT worker with decades of networking experiencing — and some training from a professional electrician.

After the great Reddit protests, all three were removed from their positions. But now Ars Technica asks whether Reddit's replacement moderators will be as capable of spotting dangerous advice? In response to concerns that the new r/homeautomation mod team could overlook posts with dangerous misinformation, one moderator requesting anonymity pointed me to the subreddit's sidebar, which has a disclaimer about the dangers of electricity. However, the disclaimer is only visible on old Reddit. The mod doesn't know why...

One of the top complaints I've heard about the Great Reddit Mod Purge is the company's alleged disregard for replaced mods' expertise. The swift, contentious nature of the mod replacements meant that old mods often didn't share advice with new mods. Meanwhile, the users Reddit chose to replace protesting mods may not have been properly vetted. That includes one of the new mods of the 3D-printing-focused subreddit r/ender3, who requested to only be referred to as the subreddit's top moderator. This person replied to a post by the Reddit employee going by u/ModCodeofConduct and requested to mod the subreddit as a "joke," they said. The user got the job despite telling me, "I have never touched a 3D printer in my life, and there is zero activity on my Reddit account related to 3D printing...." [T]hat mod will step down eventually, "as the joke is starting to wear off." But the story suggests that new mods weren't selected with the utmost care...

None of the forcibly removed mods I spoke with have worked with or plan to work with replacement mods to pass on knowledge gained through years of experience... In addition to lost knowledge, new and old mods are also dealing with the loss of third-party apps considered helpful for moderating.

Tuesday Mark Zuckerberg shared a photo on Instagram with "actual footage of me building Threads for web." And now ZDNet reports that Zuckerberg's photo is available on his new Threads page on the web.

"As of Thursday, Meta's new platform is fully accessible to all users from any computer and desktop browser, Instagram head Adam Mosseri confirmed in a new Threads post."

"Use your Instagram account to log in: threads.net," explains the official Threads account. "Scroll to catch up on the conversation, or start a new thread of your own." Posts can include photos and videos, or you can reply and repost to other posts. "This is just the beginning. We're working on bringing everything you know and love from mobile over to web. More soon."

Wired argues the move makes Threads "more broadly usable." Most users will still access it through mobile, if the way people currently access the internet is any indication. But the move to the web is the next step in Meta creating an application just sticky enough to kneecap X and draw attention away from Bluesky, Mastodon, Spoutible, Post, and any other newish social app.

It's also a way to juice its users again. After that spectacular initial sign-up period in July, Threads usage dropped off precipitously. New data from market intelligence firm Sensor Tower suggests that daily active users are down more than 60 percent from its first-week average, though it's now back on the upswing. Threads amassed 44 million daily active users during its launch peak, then saw usage drop to a low of 7 million DAUs in late July. As of mid-August, the app has seen increases of 11 million DAUs, Sensor Tower analysts say. However, time spent on the app per daily active user has also fallen, the firm says.
Caling Threads "a work in progress," Wired notes it ""will supposedly be compatible with ActivityPub, an open social networking protocol, but that hasn't happened yet. The app also doesn't currently support direct messages, a popular feature on X. And Threads is not available in the European Union, due to the regulatory climate there."

Their article also shares an idea from data journalist and engineer Surya Mattu: that both devices and social media apps like Threads should implement a transparency-guaranteeing "inspectability API" to always allow users to inspect their data and activity in real-time.

Once known for distributing hacking tools and shaming software companies into improving their security, a famed group of technology activists is now working to develop a system that will allow the creation of messaging and social networking apps that won't keep hold of users' personal data. From a report: The group, Cult of the Dead Cow, has developed a coding framework that can be used by app developers who are willing to embrace strong encryption and forsake revenue from advertising that is targeted to individuals based on detailed profiles gleaned from the data most apps now routinely collect. The team is building on the work of such free products as Signal, which offers strong encryption for text messages and voice calls, and Tor, which offers anonymous web surfing by routing traffic through a series of servers to disguise the location of the person conducting the search.

The latest effort, to be detailed at the massive annual Def Con hacking conference in Las Vegas next week, seeks to provide a foundation for messaging, file sharing and even social networking apps without harvesting any data, all secured by the kind of end-to-end encryption that makes interception hard even for governments. Called Veilid, and pronounced vay-lid, the code can be used by developers to build applications for mobile devices or the web. Those apps will pass fully encrypted content to one another using the Veilid protocol, its developers say. As with the file-sharing software BitTorrent, which distributes different pieces of the same content simultaneously, the network will get faster as more devices join and share the load, the developers say. In such decentralized "peer-to-peer" networks, users download data from each other instead of from a central machine.

Intel reported second-quarter earnings on Thursday, including a return to profitability after two straight quarters of losses, and a stronger-than-expected forecast. CNBC reports: For the third quarter, Intel expects earnings of $0.20 per share, adjusted, on revenue of $13.4 billion at the midpoint, versus analyst expectations of 16 cents per share on $13.23 billion in sales. Intel posted net income of $1.5 billion, or earnings of $0.35 per share, versus a net loss of $454 million, or a loss of 11 cents per share, in the same quarter last year.

Intel CFO David Zinsner said in a statement that part of the reason that Intel's report was stronger than expected was because of the progress it has made towards slashing $3 billion in costs this year. Earlier this year, Intel slashed its dividend and announced plans to save $10 billion per year by 2025, including through layoffs. Revenue fell to $12.9 billion from $15.3 billion a year ago, marking the sixth consecutive quarter of declining sales for the company.

Here's how Intel's business units performed:
- Intel's Client Computing group, which includes the company's laptop and desktop processor shipments, fell 12% annually to $6.8 billion.The overall PC market has been slumping for over a year.
- Intel's server chip division, which is reported as Data Center and AI, declined 15% to $4.0 billion in sales.
- Intel's Network and Edge division, which sells networking products for telecommunications, declined 28% to $1.4 billion.
- Mobileye, a publicly-traded Intel subsidiary focusing on self-driving cars, saw sales down 1% on an annual basis to $454 million.
- It reported $232 million in revenue for its foundry business, Intel Foundry Services, that makes chips for other companies.

Qualcomm and Meta will enable the social networking company's new large language model, Llama 2, to run on Qualcomm chips on phones and PCs starting in 2024, the companies announced today. From a report: So far, LLMs have primarily run in large server farms, on Nvidia graphics processors, due to the technology's vast needs for computational power and data, boosting Nvidia stock, which is up more than 220% this year. But the AI boom has largely missed the companies that make leading edge processors for phones and PCs, like Qualcomm. Its stock is up about 10% so far in 2023, trailing the NASDAQ's gain of 36%. The announcement on Tuesday suggests that Qualcomm wants to position its processors as well-suited for A.I. but "on the edge," or on a device, instead of "in the cloud." If large language models can run on phones instead of in large data centers, it could push down the significant cost of running A.I. models, and could lead to better and faster voice assistants and other apps.

An anonymous reader quotes a report from Tom's Hardware: Today, the Institute of Electrical and Electronics Engineers (IEEE) has added 802.11bb as a standard for light-based wireless communications. The publishing of the standard has been welcomed by global Li-Fi businesses, as it will help speed the rollout and adoption of the data-transmission technology standard. Advantages of using light rather than radio frequencies (RF) are highlighted by Li-Fi proponents including pureLiFi, Fraunhofer HHI, and the Light Communications 802.11bb Task Group. Li-Fi is said to deliver "faster, more reliable wireless communications with unparalleled security compared to conventional technologies such as Wi-Fi and 5G." Now that the IEEE 802.11bb Li-Fi standard has been released, it is hoped that interoperability between Li-Fi systems with the successful Wi-Fi will be fully addressed.

Of course, Li-Fi isn't going to sweep away Wi-Fi and 5G alternatives (nor wired networks). Radio waves still have a distinct advantage with regard to transmission through the atmosphere at great distance, and though opaque objects. Instead, work must concentrate on using horses for courses -- with Li-Fi advantages being harvested where possible. [...] Now the IEEE 802.11bb standard is published, manufacturers can have greater confidence in the ecosystem and start integrating the tech, where suitable. One of the big wheels of Li-Fi, pureLiFi, has already prepared the Light Antenna ONE module for integration into connected devices. This 14.5mm long component is currently being provided to OEMs for evaluation. In its promotional materials the firm suggests that Li-Fi is preferable over Wi-Fi for: more connections without congestion, greater security and privacy, and doing the heavy lifting for the highest bandwidth tasks. We expect to see a far fuller gamut of Li-Fi network devices, and user devices which support the standard, emerge between now and MWC next February.

Damus, a decentralized social networking app backed by Twitter co-founder Jack Dorsey, will be removed from the App Store due to Apple's strict payment rules. From a report: Apple had threatened to remove Damus earlier this month over the app's tips feature, claiming that it could be used by content creators to sell digital content on the platform. The tech giant has a long history of prohibiting developers from selling additional in-app content unless the transactions go through Apple, which takes a 30% cut. To avoid a ban, the team behind Damus had to tweak the app's tipping feature, which is made possible by way of Bitcoin's Lightning Network. The company previously explained in a tweet that it had to remove the tips button from posts and was only allowed to permit tips on profiles.

Recent graduates from Generation Z, who have primarily experienced virtual classes and remote internships during college, may need to improve their soft skills such as email writing, casual conversation, and appropriate work attire. According to a new report from the Wall Street Journal, companies like KPMG, Deloitte, and PwC are offering training programs to help these employees adapt to the office, focusing on in-person communication, eye contact, conversation pauses, and professional dress. Insider reports: KPMG is offering new hires introductory training that includes how to talk to people in person, with tips on the appropriate level of eye contact and pauses in a conversation, the company's vice chair of talent and culture, Sandy Torchia, told the Journal. Deloitte and PwC also began offering similar trainings earlier this year, the Financial Times reported in May. Similarly, the consulting company Proviti said it expanded its training for new hires during the pandemic to include a series of virtual meetings that focus on issues like how to make authentic conversation, according to the Journal. Scott Redfearn, Protiviti's executive vice president of global human resources, told the Journal the company has had to remind new hires to avoid casual attire like blue jeans with holes in them.

Some universities have also stepped in to bridge the gap. Michigan State University's director of career management, Marla McGraw, told the Journal that companies need to be more direct when it comes to telling new hires what to wear and how to act in the office. The school now requires many of its business majors to take classes that foster soft skills like how to network in person. The Journal reported that one course breaks down a networking conversation by reminding students to pause after they introduce themselves in order to let the other person say their name, as well as respond to signs the other person might be looking to end the conversation. While it's common for companies to host onboarding sessions that cover office dynamics like attire and rules for interpersonal relationships, some experts say younger employees need these reminders now more than ever.

This week the Linux Foundation and the National Spectrum Consortium "announced formal collaboration" on developing software prototypes and demonstrations for Open RAN (open radio access network):

The two organizations have signed a Memorandum of Understanding to solidify their working relationship and commitment to minimizing barriers to further R&D necessary for OpenRAN acceleration within the United States.

More open and flexible wireless networks ultimately increase vendor diversity and competition, prevent vendor lock-in, increase innovation in wireless networking technology, lower deployment and operational costs, and even increase security and energy efficiency. "We are eager to work with the NSC in creating a stable, open, secure reference stack for Open RAN," said Arpit Joshipura, general manager, Networking, Edge & IoT, the Linux Foundation. "By combining resources, we'll accelerate access to Open RAN and wireless technology across the United States across verticals and into government, academia, and small business."
The collaborations goals include:

• Establish an open source reference software architecture for Open RAN that will kickstart academic and commercial R&D by lowering the cost and complexity of entry

• Rally support from industry with guidance and funds to leap forward in a true open and secure RAN

ARM has joined the Linux Foundation's Open Programmable Infrastructure project, "a community-driven initiative focused on creating a standards-based open ecosystem for next-generation architectures and frameworks" based on programmable processor technologies like DPUs (Data Processing Units) and IPUs (Infrastructure Processing Units).

From the Linux Foundation's announcement: Launched in June 2021 under the Linux Foundation, the project is focused on utilizing open software and standards, as well as frameworks and toolkits, to enable the rapid adoption of DPUs. Arm joins other premier members including Dell Technologies, F5, Intel, Keysight Technologies, Marvell, Nvidia, Red Hat, Tencent, and ZTE. These member companies work together to create an ecosystem of blueprints and standards to ensure that compliant DPUs work with any server.

DPUs are used today to accelerate networking, security, and storage tasks. In addition to performance benefits, DPUs help improve data center security by providing physical isolation for running infrastructure tasks. DPUs also help to reduce latency and improve performance for applications that require real-time data processing. As DPUs create a logical split between infrastructure compute and client applications, the manageability of workloads within different development and management teams is streamlined.

"Arm has been contributing to the OPI Project for a while now," said Kris Murphy, Chair of the OPI Project Governing Board and Senior Principal Software Engineer at Red Hat. "Now, as a premier member, we are excited that they're bringing their leadership to the Governing Board and expertise to the technical steering committee and working groups. Their participation will help to ensure that the DPU components are optimized for programmable infrastructure solutions."

"Across network, storage, and security applications, DPUs are already proving the power efficiency and capex benefits of specialized processing technology," said Marc Meunier, director of ecosystem development, Infrastructure Line of Business, Arm and member of OPI Governing Board. "As a premier member of the OPI project, we look forward to contributing our expertise in heterogeneous computing and working with other leaders in the industry to create solution blueprints and standards that pave the way for successful deployments."

"The DPU market offers an opportunity for us to change how infrastructure services can be deployed and managed," Arpit Joshipura, General Manager, Networking, Edge, and IoT, the Linux Foundation. "With collaboration across software and hardware vendors representing silicon devices and the entire DPU software stack, the OPI Project is creating an open ecosystem for next generation data centers, private clouds, and edge deployments."

An anonymous reader quotes a report from KrebsOnSecurity: The number of phishing websites tied to domain name registrar Freenom dropped precipitously in the months surrounding a recent lawsuit from social networking giant Meta, which alleged the free domain name provider has a long history of ignoring abuse complaints about phishing websites while monetizing traffic to those abusive domains. Freenom is the domain name registry service provider for five so-called "country code top level domains" (ccTLDs), including .cf for the Central African Republic; .ga for Gabon; .gq for Equatorial Guinea; .ml for Mali; and .tk for Tokelau. Freenom has always waived the registration fees for domains in these country-code domains, but the registrar also reserves the right to take back free domains at any time, and to divert traffic to other sites -- including adult websites. And there are countless reports from Freenom users who've seen free domains removed from their control and forwarded to other websites.

By the time Meta initially filed its lawsuit in December 2022, Freenom was the source of well more than half of all new phishing domains coming from country-code top-level domains. Meta initially asked a court to seal its case against Freenom, but that request was denied. Meta withdrew its December 2022 lawsuit and re-filed it in March 2023. "The five ccTLDs to which Freenom provides its services are the TLDs of choice for cybercriminals because Freenom provides free domain name registration services and shields its customers' identity, even after being presented with evidence that the domain names are being used for illegal purposes," Meta's complaint charged. "Even after receiving notices of infringement or phishing by its customers, Freenom continues to license new infringing domain names to those same customers." Meta pointed to research from Interisle Consulting Group, which discovered in 2021 and again last year that the five ccTLDs operated by Freenom made up half of the Top Ten TLDs most abused by phishers.

Interisle partner Dave Piscitello said something remarkable has happened in the months since the Meta lawsuit. "We've observed a significant decline in phishing domains reported in the Freenom commercialized ccTLDs in months surrounding the lawsuit," Piscitello wrote on Mastodon. "Responsible for over 60% of phishing domains reported in November 2022, Freenom's percentage has dropped to under 15%." Piscitello said it's too soon to tell the full impact of the Freenom lawsuit, noting that Interisle's sources of spam and phishing data all have different policies about when domains are removed from their block lists.

Wikipedia describes Freenet as "a peer-to-peer platform for censorship-resistant, anonymous communication," released in the year 2000. "Both Freenet and some of its associated tools were originally designed by Ian Clarke," Wikipedia adds. (And in 2000 Clarke answered questions from Slashdot's readers...)

And now Ian Clarke (aka Sanity — Slashdot reader #1,431) returns to share this announcement: Freenet, a familiar name to Slashdot readers for over 23 years, has undergone a radical transformation: Freenet 2023, or "Locutus". While the original Freenet was like a decentralized hard drive, the new Freenet is like a full decentralized computer, allowing the creation of entirely decentralized services like messaging, group chat, search, social networking, among others. The new Freenet is implemented in Rust and designed for efficiency, flexibility, and transparency to the end user.
"Designed for simplicity and flexibility, Freenet 2023 can be used seamlessly through your web browser, providing an experience that feels just like using the traditional web," explains the announcement...

And in the comments below, Ian points out that "When the new Freenet is up and running, I think it will be the first system of any kind that could host something like Wikipedia, not just the data but the wiki CMS system it's built on. An editable wikipedia, entirely decentralized and very scalable...

"We've already had interest from everyone from video game developers who want to build a decentralized MMORPG, to political advocacy groups across the political spectrum. Plenty of people value freedom."

An anonymous reader shared this report from the Verge: Meta is building its first custom chip specifically for running AI models, the company announced on Thursday. As Meta increases its AI efforts — CEO Mark Zuckerberg recently said the company sees "an opportunity to introduce AI agents to billions of people in ways that will be useful and meaningful" — the chip and other infrastructure plans revealed Thursday could be critical tools for Meta to compete with other tech giants also investing significant resources into AI.

Meta's new MTIA chip, which stands for Meta Training and Inference Accelerator, is its "in-house, custom accelerator chip family targeting inference workloads," Meta VP and head of infrastructure Santosh Janardhan wrote in a blog post... But the MTIA chip is seemingly a long ways away: it's not set to come out until 2025, TechCrunch reports.
Meta has been working on "a massive project to upgrade its AI infrastructure in the past year," Reuters reports, "after executives realized it lacked the hardware and software to support demand from product teams building AI-powered features."

As a result, the company scrapped plans for a large-scale rollout of an in-house inference chip and started work on a more ambitious chip capable of performing training and inference, Reuters reported...

Meta said it has an AI-powered system to help its engineers create computer code, similar to tools offered by Microsoft, Amazon and Alphabet.
TechCrunch calls these announcements "an attempt at a projection of strength from Meta, which historically has been slow to adopt AI-friendly hardware systems — hobbling its ability to keep pace with rivals such as Google and Microsoft."

Meta's VP of Infrastructure told TechCrunch "This level of vertical integration is needed to push the boundaries of AI research at scale." Over the past decade or so, Meta has spent billions of dollars recruiting top data scientists and building new kinds of AI, including AI that now powers the discovery engines, moderation filters and ad recommenders found throughout its apps and services. But the company has struggled to turn many of its more ambitious AI research innovations into products, particularly on the generative AI front. Until 2022, Meta largely ran its AI workloads using a combination of CPUs — which tend to be less efficient for those sorts of tasks than GPUs — and a custom chip designed for accelerating AI algorithms...

The MTIA is an ASIC, a kind of chip that combines different circuits on one board, allowing it to be programmed to carry out one or many tasks in parallel... Custom AI chips are increasingly the name of the game among the Big Tech players. Google created a processor, the TPU (short for "tensor processing unit"), to train large generative AI systems like PaLM-2 and Imagen. Amazon offers proprietary chips to AWS customers both for training (Trainium) and inferencing (Inferentia). And Microsoft, reportedly, is working with AMD to develop an in-house AI chip called Athena.

Meta says that it created the first generation of the MTIA — MTIA v1 — in 2020, built on a 7-nanometer process. It can scale beyond its internal 128 MB of memory to up to 128 GB, and in a Meta-designed benchmark test — which, of course, has to be taken with a grain of salt — Meta claims that the MTIA handled "low-complexity" and "medium-complexity" AI models more efficiently than a GPU. Work remains to be done in the memory and networking areas of the chip, Meta says, which present bottlenecks as the size of AI models grow, requiring workloads to be split up across several chips. (Not coincidentally, Meta recently acquired an Oslo-based team building AI networking tech at British chip unicorn Graphcore.) And for now, the MTIA's focus is strictly on inference — not training — for "recommendation workloads" across Meta's app family...

If there's a common thread in today's hardware announcements, it's that Meta's attempting desperately to pick up the pace where it concerns AI, specifically generative AI... In part, Meta's feeling increasing pressure from investors concerned that the company's not moving fast enough to capture the (potentially large) market for generative AI. It has no answer — yet — to chatbots like Bard, Bing Chat or ChatGPT. Nor has it made much progress on image generation, another key segment that's seen explosive growth.

If the predictions are right, the total addressable market for generative AI software could be $150 billion. Goldman Sachs predicts that it'll raise GDP by 7%. Even a small slice of that could erase the billions Meta's lost in investments in "metaverse" technologies like augmented reality headsets, meetings software and VR playgrounds like Horizon Worlds.

LinkedIn, the networking platform used by millions of employees and companies, said on Monday it will pare down its operations in China, capping a multiyear pullback that exemplified the challenges of running a foreign business in China. From a report: The company, owned by Microsoft, said it will lay off 716 employees worldwide, including teams dedicated to engineering and marketing in China, because of slumping demand. It did not say how many of those layoffs will be in China. LinkedIn will also shut its China job posting app, a bare-bones version of its international service, by August. Users of the app, called InCareer, could only search for jobs and not post or share articles the way they can on LinkedIn.

When LinkedIn started a Chinese-language version of its website in 2014, it charted a path that its peers, including Facebook and Google, had shied away from. It partnered with local firms and began censoring the content of millions of Chinese customers in accordance with Beijing's strict laws. Several U.S. journalists and activists said their profiles had been blocked because of "prohibited content." The company said at the time that while it opposed government censorship, its absence in the country could deprive Chinese professionals of the chance to make professional connections.

Analyst Jean-Louis Gassee, writing at Monday Note about Intel's habit of requesting investors that they wait for the company to catch up to the competition: Concurrently, the company's revenue for its new IFS foundry business decreased by 24% to an insignificant $118M, with a $140M operating loss gingerly explained as "increased spending to support strategic growth." Other Intel businesses such as Networking (NEX) products and Mobileye -- yet another Autonomous Driving Technology -- add nothing promising to the company's picture. This doesn't prevent [Intel CEO Pat] Gelsinger from once again intoning the Just You Wait refrain. This time, the promise is to "regain transistor performance and power performance leadership by 2025."

Is it credible?

We all agree that the US tech industry would be better served by Intel providing a better alternative to TSMC's and Samsung's advanced foundries. Indeed, We The Taxpayers are funding efforts to stimulate our country's semiconductor sector at the tune of $52B. I won't comment other than to reminisce about a difficult late 80s conversation with an industry CEO when, as an Apple exec, I naively opposed an attempt to combat the loss of semiconductor memory business to foreign competitors by subsidizing something tentatively called US Memories. But, in this really complicated 2023 world, what choices do we actually have?

For years I've watched Intel's repeated mistakes, the misplaced self-regard, the ineffective leadership changes for this Silicon Valley icon, for the inventor of the first commercial microprocessor, only to be disappointed time and again as the company failed to shake the Wintel yoke -- while Microsoft successfully diversified. I fervently hope Pat Gelsinger succeeds. His achievement would resonate deeply, it would bring to mind another historic turnaround: Steve Jobs' 1997 return to the Apple he had "left" in 1985.

This month the Linux Foundation announced version 3.0 of DentOS, an open source network operating system using the Linux kernel, Switchdev, and other Linux-based projects for a standardized network operating system "without abstractions or overhead," according to the project's web page. "All underlying infrastructure — including ASIC and Silicon for networking and datapath — is treated equally; while existing abstractions, APIs, drivers, low-level overhead, and other open software are simplified. DENT unites silicon vendors, ODMs, SIs, OEMs, and end users across all verticals to enable the transition to disaggregated networks."

Or, as the Linux Foundation, the operating system provides "a flexible and customizable platform for network administrators to manage their networks." DENT provides access to open source-based switches at a lower cost and with more flexibility compared to proprietary switches with locked ecosystems. Network wiring closets in many facilities--including retail stores, warehousing, remote locations, enterprises, and small and mid-sized businesses--are often small, requiring a compact solution for network management. Additionally, staff expertise may be limited, and branch-office switches from leading suppliers can require costly contracts. DENT can be easily deployed on white-box hardware in small spaces, providing an efficient and cost-effective solution for network management. As a result, DENT deployment can significantly enhance network management in a wide range of environments, providing greater efficiency, reliability, and scalability...

DentOS enables Amazon's Just Walk Out Technology to connect and manage thousands of devices like cameras, sensors, entry and exit gates, and access points on the network edge.