geek, scribe, coffee snob, and wanna-be cyclist. Contributor to Apache Spark and Delta Lake maintainer. Developer Relations at Databricks (opinions r my own)
JSN has 4 of the Seahawks’ 5 touchdowns through two games.
Defenses know the ball is coming his way — and they still can’t stop him. Richard Sherman says nobody in the NFL is doing what Jaxon Smith-Njigba is doing right now.
Is JSN the best WR in football? 👀
#Seahawks#JSN #NFL
"I just want to be able to look back and say, you know, 'I got better. I was better this year than I was last year."
Jaxon Smith-Njigba joins SportsCenter following his dominant performance against the Cardinals 🙌
Databricks' @alighodsi says "Right now the existential risk is close to zero." Why he thinks the public doom talk is irresponsible:
"Leaders have responsibility to not freak people out unnecessarily unless there's really, really good reason."
"Talking about these kind of existential risks and scenarios where all of humanity's gonna be wiped out, I think is irresponsible. It can tip a lot of people over, and it can cause a lot of mental health issues."
"If there is an actual reason for it, that's a different story. But I think that right now the existential risk is close to zero. So why freak everybody out? It's not actually needed. There are risks. We'll get into it. That's probably where we disagree."
"First and foremost, I think leaders should not freak everyone out."
"If there's technical nuances in how we're doing AI research, researchers can discuss that. You don't need to every time go on TV and blast on Twitter to millions of people that 'I think there's like this 10% risk that all humanity is gonna be wiped out.'"
"I think it causes a lot of harm for a lot of folks who get stressed out and actually are not in the nuances of all of this stuff and what it means."
@alighodsi@sarahdingwang@martin_casado
“I think that right now, the existential risk is close to zero. So why freak everybody out?”
Databricks CEO and co-founder @alighodsi joined @a16z General Partners @martin_casado and @sarahdingwang for a conversation on AI risk, what's actually slowing enterprise adoption, and where companies are already seeing value.
Listen to the full episode: https://t.co/Tl6kg0kOah
Databricks' @alighodsi with a16z's Martin Casado on who should be policing the AI labs:
Martin: "There's kind of three proposals. The OpenAI, Anthropic one is a third party. The Elon Musk one, as far as I can tell, is the labs cross-check each other like peer review, like you do in science. And then the Mark Zuckerberg one is police yourself."
Ali: "If we have boxing matches in the ring, the boxers should just be the judges of each other. Would that work? No. They would scream foul all the time."
"When vested interests are at play and there's like IPO plans and these two companies are so competitive and they have this history also between them, yeah, they'll be *very* fair to each other."
"That's why you need a third party. Why do we have judges in the world at all? Why do we have third parties at all? Why can't people just figure things out between themselves?"
"They should try. If they want to do it, they should try. But I'm skeptical that they wouldn't just be biased in multiple ways to judge each other."
@alighodsi@martin_casado@sarahdingwang
Wow: Seahawks HC Mike Macdonald says he wanted to bring several coaches with him from Baltimore, but John Harbaugh blocked it.
Macdonald says that this forced him to build Seattle his own way.
Safe to say it paid off handsomely 👏
Databricks' @alighodsi on the clock that's forcing cyber and data into the same market:
"It used to be like, okay, we have data and AI... you have a bunch of data and you run AI and machine learning, and that just lives separately."
"And then you have the cyber world. Cyber world is, you know, we want to detect if bad people are trying to hack us."
"But now on the data and AI side, we have agents running internally in the company. And the agents are also doing things with other people's agents, and they're producing a lot of data. Logs, trails, fingerprints that are being left."
"All the data that's being produced needs to be analyzed. And the scale at which you need to do that is many, many orders of magnitude more than just one or two years ago."
"2018, 2019, the time it would take from a CVE, a vulnerability being published, until you see it actually weaponized in the industry would be like two, three years."
"That went down in 2022 significantly, but it was still like eight, nine months. So that's kind of fine, you have eight, nine months."
"Now if you look at this curve from 2022 until now, it's down to basically hours, basically no time. Things get immediately weaponized."
@alighodsi
My model + harness stack these days:
1. Kimi K3 is the best OSS coding model. GLM-5.3 is next.
2. DeepSeek V4.1 Flash is my pick for easy/moderate tasks: insanely fast and cheap.
3. I reach for Astra for complex tasks.
4. Codex works better with OSS models. Claude Code can make the same model cost 2x more.
Ali Ghodsi explains how Databricks’ Ontology digitizes everything that happens in an organization to give AI maximum context:
“Ontology just means in an organization, the relationship between all the abstract concepts of all the goals and all the departments and all the people and all the projects that are going on.”
“Of all of our customers, we have the largest Ontology… It’s millions and millions of nodes in the graph.”
“You have a tree structure organization, and information flows up and down the tree structure. If you can’t make a decision, you escalate to your boss. Maybe they can tie break, it escalates up. They need to get up to speed on what’s happening, and they need to get all the context, and then they make decisions.”
“Once decisions get made, you have to percolate them down in the organization. A lot of this can now be done by AI if you have an Ontology.”
“It’s a game changer for us.”
@alighodsi
Here is to all the AEs out there.
@alighodsi told me about one of the first AEs at @databricks who got a meeting nobody could get.
An Exec from the customer who took the meeting saw him and said "get that guy out of here" because he had emailed too many people. But it worked.
The AE's response when Ali confronted him: "I got you the meeting. went through every door. I broke glass."
Squeaky wheel gets the grease.
Your best salespeople might piss people off. But they got it done.
Full episode in the comments below.