Sean Kerner (@TechJournalist) profile picture

IT consultant, technology user, tinkerer and sometimes Klingon ; tips [email protected]

online
Joined July 2008
Photo by Sean Kerner (@TechJournalist)Photo by Sean Kerner (@TechJournalist)Photo by Sean Kerner (@TechJournalist)Photo by Sean Kerner (@TechJournalist)Photo by Sean Kerner (@TechJournalist)Photo by Sean Kerner (@TechJournalist)Photo by Sean Kerner (@TechJournalist)Photo by Sean Kerner (@TechJournalist)Photo by Sean Kerner (@TechJournalist)Photo by Sean Kerner (@TechJournalist)
Sean Kerner retweeted
In lieu of flowers, memorial contributions may be made to: Johns Hopkins Alzheimer’s Disease Research Center Fund    alzresearch.org/giving/ Alzheimer’s Foundation of America Caregiver Resources     alzfdn.org/donate/ Photo Credit: Tommy Garcia
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Sean Kerner retweeted
Replying to @RamaswmySridhar
I don't think we should fight. The two companies are complementary. Since you're not doing this AI stuff, I really think Snowflake should consider getting its AI tokens through Databricks. You can get both cheap OSS models as well as frontier (OAI/Ant/Gemini/Grok) models from our platform. It all goes through Unity Gateway which has Smart Routing, Budgets, and Access Control. You can even use Omnigent with any harness, including CoCo. Most of our customers used this to reduce token spend ~30% last few months while token count went up. Genie lets you then track, control, manage that spend, all your financials, marketing, etc. Quick POC?
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This. Gotta love me some AI data drama
Snowflake and Databricks arguing about AI revenue. Finally just something inexpensive from both companies: free entertainment. 🍿
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i have been an admirer of @alighodsi & @databricks dating back to the birth of Apache Spark and the subsequent "MapReduce is dead" cycle. the newest model drop is often a shiny object of the week, and what quietly happens in the DBMS world is under discussed. AI is only as good as the data and context, and DBRKS plays a significant foundational role. a must read profile of an important company and elite founder
Ben Horowitz on Databricks CEO Ali Ghodsi: "You just don't get this good of a market opportunity with this good of an entrepreneur. That's the rarest of rare things." Despite surpassing a $7 billion run rate and growing 80% year over year, Databricks might be the most under the radar story in Silicon Valley. Three years ago, every interaction on Databricks involved a human. Today, the company is seeing more queries from agents than people. Ali believes AGI is already here. Yet inside most companies today, AI still isn't trusted to reliably update records in Salesforce. "AI does not have an intelligence problem," Ali explains. "It has a context problem." Even the smartest human would be all but useless without access to the company's data, permission to act, feedback, or the knowledge in other employees' heads. Ali's answer is what he calls a "system of record for agents." But the bigger question is how agents will change the firm itself. 85 years ago, James Burnham's The Managerial Revolution described how a small class of professional managers centralized the decision-making inside of companies. Today, thanks to a new wave of technology, the craft practitioners at the front lines are regaining responsibility again. The irony is that the decline of managerialism may look more like everyone becoming a manager. In this issue of Profiles of the Future, @bhorowitz and @mikemcg0 explain how seven Berkeley academics built Databricks, and why it will power the future of the firm: a16z.news/p/databricks-and-t…
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- @xMEMSLabs Labs says enterprise SSDs are an early use case for solid-state micro-cooling because sustained AI-driven data transfers can trigger thermal throttling. “As AI infrastructure evolves, component-level cooling will become an increasingly important complement to traditional system-level thermal management,” Mike Housholder told me. datacenterknowledge.com/cool…
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Sean Kerner retweeted
In the 4 days since php2shell was published: * 1,448 more CVEs published. * No published exploit code for any in Metasploit or Exploit-DB. * VulnCheck added 25 on its KEV list. 24 are old bugs. * CISA added just 1 to its KEV list, the only new bug anyone has seen adversaries exploit. Nothing in the record shows AI or anything else driving up how many vuln adversaries exploit, or how fast. Adversaries keep working a small set of bugs until those stop paying, and only then move on. Patch php2shell because there are too many eyes are on it not to. Then apply the same rule to everything else, prioritize patching all systems against what adversaries exploit. It sounds simple, and the evidence says it’s what we still haven’t done that actually works.
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Sean Kerner retweeted
“Mythos is supposed to hack into our nuclear reactors and take over the planet like Skynet, but it can't translate Bun to Rust unless you spend $165,000” -- @drjasonmars @AllThingsOpen @TheRegister theregister.com/devops/2026/…
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This one maybe as bad or worse than the PHP ones. Get used to lots of patching.
we've found and have been working on disclosure for a remote code execution in a widely-deployed compression library. it's both an impactful issue and an example that shows how complicated it can be to coordinate patching, since it's integrated into a lot of downstream software:
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Sean Kerner retweeted
Guys I need you to keep the Internet from collapsing just a little bit longer, I have a launch coming up. Thanks.
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Some stats on #php2shell. In the 10 hours before it was publicly announced, across the @Cloudflare network we saw thousands of attempts to exploit it. That jumped to tens of thousands in the 45 minutes post announcement, hundreds of thousands within 2 hours, and millions now.
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Sean Kerner retweeted
⚠️ Node.js is vulnerable to remote code execution. CVE-2026-111497 (high): A Node.js process that decompresses attacker-controlled Brotli data can be made to leak memory or run arbitrary code. You’re exposed if your app or a library decompresses bad Brotli data (e.g. the built-in fetch(), body-parser) Aikido detects this. Patches are available.
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Sean Kerner retweeted
Databricks is investing in New York for the long haul. Very excited to continue growing our AI research lab in NYC, now one of the largest in the city!
New York is becoming one of Databricks’ biggest AI hubs. 🗽 We’re expanding at 5 Bryant Park to ~120,000 square feet across five floors, including a dedicated Engineering and Research floor. With teams building technologies behind Genie, Unity Gateway and CustomerLake, our momentum in NYC is only growing.
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Sean Kerner retweeted
Decision models like Jev handle what SQL rules cannot. Here's how data teams use them venturebeat.com/ai/decision-…
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Sean Kerner retweeted
One week left to apply for VB’s Agentic Infrastructure Stack Summit. Inference costs, memory and context, orchestration, AI factories, with leaders from Microsoft, Uber, Adobe and Box. Oct 28, SF. Applications close Oct 26 → bit.ly/481tCFx
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Sean Kerner retweeted
Gartner says agent costs will rise fivefold by 2028 even as tokens get cheaper. Here is how to keep them in check venturebeat.com/ai/gartner-s…
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Never bet against Ethernet... “A big new focus of UEC 1.1 is extending support to scale-up networks,” Tom Emmons, Chair, @ultraethernet Consortiuml Technical Advisory Committee, told me. “This includes a simplified transport protocol appropriate for scale-up networks, along with a number of options to improve packet efficiency.” networkworld.com/article/423…
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