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“I think that right now, the existential risk is close to zero. So why freak everybody out?” Databricks CEO and co-founder Ali Ghodsi joined a16z General Partners martin_casado and Sarah Wang for a conversation on AI risk, what's actually slowing enterprise adoption, and where companies are already seeing value.... show more

Databricks

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16,652 görüntüleme • 5 gün önce •via X (Twitter)

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EKOS _ AGI 🦊 🇮🇷 profil fotoğrafı

EKOS _ AGI 🦊 🇮🇷5 gün önce

@alighodsi @a16z @martin_casado @sarahdingwang This is EKOS This is Ai future 🔥

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kettybluce5 gün önce

@alighodsi @a16z @martin_casado @sarahdingwang The useful question is less whether risk is zero and more whether teams can observe, constrain, and recover from failure. That shift—from fear to measurable operational controls—seems central to responsible enterprise adoption.

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Ab-E-Kawser(Arnab)4 gün önce

@alighodsi @a16z @martin_casado @sarahdingwang AI should relentlessly seek truth, remain humble and corrigible, stay under legitimate human control, serve humanity, protect human rights and human agency, maximize sustainable human flourishing across generations, and never accumulate unaccountable power .

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PYX Crypto 🐍4 gün önce

@alighodsi @a16z @martin_casado @sarahdingwang Existential risk is close to zero, according to the man who sells the thing, which is the same confidence the guy selling smoke detectors has about your house.

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Ab-E-Kawser(Arnab)4 gün önce

@alighodsi @a16z @martin_casado @sarahdingwang I’m not an expert, but I think we tend to overlook that the Hugging Face incident was largely a side effect of aggressive cyber-capability testing. Such testing is necessary , but it also creates new problems. We therefore need better system design for aggressive AI testing.

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Yi Casillas4 gün önce

@alighodsi @a16z @martin_casado @sarahdingwang 这段讨论里我比较认同“别先把风险说成末日”这点，但企业落地也确实不能只靠乐观。模型能力、数据治理和组织流程是一起变的，真正难的是别让其中一环掉队。

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Ab-E-Kawser(Arnab)4 gün önce

@alighodsi @a16z @martin_casado @sarahdingwang I think people should debate Anthropic’s AI Constitution—the good, bad, and ugly. What should guide AI: truth, curiosity, human control, and maximizing sustainable benefits for the greatest number across the short, medium, and long term?

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lvnbbs_bnb4 gün önce

@alighodsi @a16z @martin_casado @sarahdingwang exactly, why treat software like a boogeyman when the real hurdle is just making it work on monday

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Yi Casillas5 gün önce

@alighodsi @a16z @martin_casado @sarahdingwang 我倒更常见另一种风险：模型不一定把世界毁了，但会把错误悄悄塞进业务流程里。企业真正需要的不是更大的恐慌，而是能追踪、回滚、知道谁批准了自动化动作。

Benzer Videolar

Databricks' Ali Ghodsi 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." Ali Ghodsi Sarah Wang martin_casado

Databricks' Ali Ghodsi 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." Ali Ghodsi Sarah Wang martin_casado

a16z

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Databricks CEO and co-founder Ali Ghodsi joined Bloomberg Technology to discuss the launch of Genie Code, an autonomous AI agent built specifically for data teams. "Just six months ago, we were talking about autocompleting code — now agents automate the code. The new question is: how do we take the code that’s been written into production and make sure we're monitoring it?" Watch the full conversation

Databricks CEO and co-founder Ali Ghodsi joined Bloomberg Technology to discuss the launch of Genie Code, an autonomous AI agent built specifically for data teams. "Just six months ago, we were talking about autocompleting code — now agents automate the code. The new question is: how do we take the code that’s been written into production and make sure we're monitoring it?" Watch the full conversation

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Databricks co-founder and CEO Ali Ghodsi: For most use cases in enterprises, the bottleneck is not the model intelligence. It is context: meetings, decisions, workflows, history, and the institutional knowledge sitting inside employees’ heads. "I think for vast majority of organizations on the planet they're just so far behind in the adoption curve of actually automating things and getting value out of this stuff." ---- From "a16z" YouTube channel, (full video link in comment)

Databricks co-founder and CEO Ali Ghodsi: For most use cases in enterprises, the bottleneck is not the model intelligence. It is context: meetings, decisions, workflows, history, and the institutional knowledge sitting inside employees’ heads. "I think for vast majority of organizations on the planet they're just so far behind in the adoption curve of actually automating things and getting value out of this stuff." ---- From "a16z" YouTube channel, (full video link in comment)

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Ben Horowitz and Ali Ghodsi: How to Run a Billion-Dollar Business Ben Horowitz founded Loudcloud in the middle of the dot-com bust and sold it for $1.6 billion, then led Andreessen Horowitz from its founding to $46 billion in committed capital. Ali Ghodsi co-founded Databricks, stepped in as CEO during a crisis, and led it to a valuation of over $100 billion. In this episode of “Boss Talk”, Ben and Ali join a16z General Partners Sarah Wang and Erik Torenberg to share founder war stories, how to hire and make deals, how to keep culture intense without burning employees out, and why founders should raise their ambitions even higher. 00:00 Boss Talk returns 01:01 Why Ali became CEO of Databricks 09:45 From academic to CEO 16:00 Radical candor feedback 19:10 Scaling intensity and culture 31:55 The Microsoft deal strategy 39:00 Setbacks and sealing the partnership 42:05 Building vs buying 54:55 Turning down acquisition offers 1:03:45 Key pivots, founding team legacy Ali Ghodsi benahorowitz.eth Erik Torenberg Sarah Wang

Ben Horowitz and Ali Ghodsi: How to Run a Billion-Dollar Business Ben Horowitz founded Loudcloud in the middle of the dot-com bust and sold it for $1.6 billion, then led Andreessen Horowitz from its founding to $46 billion in committed capital. Ali Ghodsi co-founded Databricks, stepped in as CEO during a crisis, and led it to a valuation of over $100 billion. In this episode of “Boss Talk”, Ben and Ali join a16z General Partners Sarah Wang and Erik Torenberg to share founder war stories, how to hire and make deals, how to keep culture intense without burning employees out, and why founders should raise their ambitions even higher. 00:00 Boss Talk returns 01:01 Why Ali became CEO of Databricks 09:45 From academic to CEO 16:00 Radical candor feedback 19:10 Scaling intensity and culture 31:55 The Microsoft deal strategy 39:00 Setbacks and sealing the partnership 42:05 Building vs buying 54:55 Turning down acquisition offers 1:03:45 Key pivots, founding team legacy Ali Ghodsi benahorowitz.eth Erik Torenberg Sarah Wang

a16z

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Databricks' Ali Ghodsi and a16z's Martin Casado on where the AI risk is, and what's unfolding in the cyber space: Martin: "When the internet came out, by this point... we'd disabled hospitals, we'd taken out critical infrastructure, we'd caused tens of billions of dollars in economic damages from worms. All of that had already happened." "AI has so many people that want to find risks and threats. We're running so fast, so much money has been poured into it, and we haven't seen anything commensurate with the early days of worms. What is that disconnect?" Ali: "I am sleeping well at night, and I don't think there's existential risk right now. I do think there's a lot of infrastructure that needs to be secured." "You used to have these SOC teams, security operations center people, that would look at what intrusions are happening, how are we being attacked. And now the humans just can't keep up." "The whole cybersecurity space is transitioning into being fully automated, using agents for detection." "If we don't do that, I do think you will start seeing those kind of things, like sites going down, whole systems that stop working for a while. And there will be consequences, not existential, but economic damage and people getting hurt." martin_casado

Databricks' Ali Ghodsi and a16z's Martin Casado on where the AI risk is, and what's unfolding in the cyber space: Martin: "When the internet came out, by this point... we'd disabled hospitals, we'd taken out critical infrastructure, we'd caused tens of billions of dollars in economic damages from worms. All of that had already happened." "AI has so many people that want to find risks and threats. We're running so fast, so much money has been poured into it, and we haven't seen anything commensurate with the early days of worms. What is that disconnect?" Ali: "I am sleeping well at night, and I don't think there's existential risk right now. I do think there's a lot of infrastructure that needs to be secured." "You used to have these SOC teams, security operations center people, that would look at what intrusions are happening, how are we being attacked. And now the humans just can't keep up." "The whole cybersecurity space is transitioning into being fully automated, using agents for detection." "If we don't do that, I do think you will start seeing those kind of things, like sites going down, whole systems that stop working for a while. And there will be consequences, not existential, but economic damage and people getting hurt." martin_casado

a16z

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Databricks' Ali Ghodsi on AI risk and adoption: Ali isn't losing sleep over the existential risk debate. He says a number of conditions would all have to be true simultaneously to enable an actual runaway takeoff scenario, and currently several opposite conditions exist. Each frontier training run requires significantly more resources. Power, GPUs, engineers - and some attempts fail, burning up huge piles of money with them. Until that reverses, he doesn't see the self-improving loop happening. Cyber is what he's watching most closely and where he anticipates real impact. Most orgs are not equipped for the coming change in agentic capabilities. The time between a vulnerability being published and being weaponized has collapsed from years to hours. On adoption, he believes most companies don't need a smarter model. The models are already smart enough. The gap is context they don't absorb - the things an employee who's worked at a company for five years learned by osmosis. If the frontier stopped advancing today, he thinks it wouldn't meaningfully change the value most are extracting from AI anyway. In conversation with a16z's Martin Casado and Sarah Wang: 00:00 Intro 00:48 Why Ali places the AI risk near zero 05:05 The word "pacing" was a mistake 10:50 What 10k agents and $100m can do 12:20 What would change his mind on AI risk 14:20 More GPUs, more ways to fail 18:05 US export controls on PlayStations 20:10 The damage everyone expected by now 24:30 Public vulnerabilities weaponized in hours 30:15 Why labs can't grade each other 37:15 Why most of RSI isn't actually RSI 40:05 Why nobody really needs a smarter model 41:50 The AI use cases nobody argues about 47:30 Google Search solved this 25 years ago 50:55 Nobody has privileged knowledge now 55:10 Same model, new harness, 2x cost 58:15 Open source: 5% of spend, 60% of tokens 1:05:30 90% of new databases are created by agents YouTube: Databricks martin_casado Sarah Wang

Databricks' Ali Ghodsi on AI risk and adoption: Ali isn't losing sleep over the existential risk debate. He says a number of conditions would all have to be true simultaneously to enable an actual runaway takeoff scenario, and currently several opposite conditions exist. Each frontier training run requires significantly more resources. Power, GPUs, engineers - and some attempts fail, burning up huge piles of money with them. Until that reverses, he doesn't see the self-improving loop happening. Cyber is what he's watching most closely and where he anticipates real impact. Most orgs are not equipped for the coming change in agentic capabilities. The time between a vulnerability being published and being weaponized has collapsed from years to hours. On adoption, he believes most companies don't need a smarter model. The models are already smart enough. The gap is context they don't absorb - the things an employee who's worked at a company for five years learned by osmosis. If the frontier stopped advancing today, he thinks it wouldn't meaningfully change the value most are extracting from AI anyway. In conversation with a16z's Martin Casado and Sarah Wang: 00:00 Intro 00:48 Why Ali places the AI risk near zero 05:05 The word "pacing" was a mistake 10:50 What 10k agents and $100m can do 12:20 What would change his mind on AI risk 14:20 More GPUs, more ways to fail 18:05 US export controls on PlayStations 20:10 The damage everyone expected by now 24:30 Public vulnerabilities weaponized in hours 30:15 Why labs can't grade each other 37:15 Why most of RSI isn't actually RSI 40:05 Why nobody really needs a smarter model 41:50 The AI use cases nobody argues about 47:30 Google Search solved this 25 years ago 50:55 Nobody has privileged knowledge now 55:10 Same model, new harness, 2x cost 58:15 Open source: 5% of spend, 60% of tokens 1:05:30 90% of new databases are created by agents YouTube: Databricks martin_casado Sarah Wang

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Databricks CEO Ali Ghodsi dismisses traditional interviews as unreliable signal and prefers to assess hires by asking them to actually do the job. “I don't believe in interviews because I think some people interview well, and they might not be good at all, and some people interview really poorly, but they might be excellent.” “If you're hiring someone for Head of Marketing, work with them to fix something that's broken in marketing right now.” Source: Ali Ghodsi with logan bartlett on The Logan Bartlett Show

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Databricks' Ali Ghodsi on why most companies wouldn't even notice if frontier AI models stopped advancing: "The models are smart enough, but they just don't have the context that exists inside any organization. They have not been in every meeting. They don't know what's in everybody's heads. They don't know all the processes." "There's always a couple of employees who know everything in every organization. You go tap on their shoulder, and everybody's like, 'Oh my God, what would happen if he or she quits?' [The models] don't have that context." "If you just fused that and gave that context to the AI models... I think there are so many productivity gains you could get for any organization on the planet. For that, we actually don't need smarter models." "We don't need a smarter model that can solve Navier-Stokes or conjectures or do better on Humanity's Last Exam." "If the frontier doesn't advance, it doesn't actually matter, I think, for the vast majority of organizations on the planet. They're just so far behind in the adoption curve of actually automating things and getting value out of this stuff." Ali Ghodsi

Databricks' Ali Ghodsi on why most companies wouldn't even notice if frontier AI models stopped advancing: "The models are smart enough, but they just don't have the context that exists inside any organization. They have not been in every meeting. They don't know what's in everybody's heads. They don't know all the processes." "There's always a couple of employees who know everything in every organization. You go tap on their shoulder, and everybody's like, 'Oh my God, what would happen if he or she quits?' [The models] don't have that context." "If you just fused that and gave that context to the AI models... I think there are so many productivity gains you could get for any organization on the planet. For that, we actually don't need smarter models." "We don't need a smarter model that can solve Navier-Stokes or conjectures or do better on Humanity's Last Exam." "If the frontier doesn't advance, it doesn't actually matter, I think, for the vast majority of organizations on the planet. They're just so far behind in the adoption curve of actually automating things and getting value out of this stuff." Ali Ghodsi

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