Panos Athanasiou (@packux) header
Panos Athanasiou (@packux) profile picture

Stare into the Abyss for long enough and It will stare back at you.

London, England
Joined June 2014
Photo by Panos Athanasiou (@packux)Photo by Panos Athanasiou (@packux)
Panos Athanasiou retweeted
We mourn the passing of Patrick Stewart, who inspired countless individuals at NASA (and beyond) to boldly go where no one has gone before.
688
23,817
860
147,085
3,366,719
Panos Athanasiou retweeted
Starlink connectivity at speeds of up to 160 km/h is being restored. Removing Starshield’s speed limit entirely is now critical for Ukraine’s defense. Thank you, @elonmusk. We hope for your continued support.
766
2,016
441
19,207
2,222,544
Panos Athanasiou retweeted
Dear Secretary Bessent @SecScottBessent, My name is Everett Stern. In 2010 I was a compliance officer at @HSBC. From a back office in New Castle, Delaware, I watched billions of dollars move to drug cartels, sanctioned regimes, and terrorist organizations. The enemies of the United States. I documented it, I escalated it, and when the bank would not act, I took it to the @FBI, the @CIA, and eventually the @SECGov. The result was a $1.92 billion settlement. At the time, it was one of the largest in American history. It was also about five weeks of the bank’s profit. Not one banker was charged. Not one went to prison. I paid a different price. I lost my career, my savings, and my place in the industry I had trained for. I was blacklisted. Every door in American finance closed at once. I slept on a camping cot in a 300 square foot apartment because I could not afford a bed, and I waited tables at @PFChangs to eat. I tell you this not for sympathy, but so you understand that I know exactly what it costs to do the right thing in American finance, and exactly how little the system does in return. I made that sacrifice because I believed it would change something. Yesterday, your department fined @BankofAmerica $1.2 billion for failing to report more than $5 billion in suspicious transactions, some of it tied by your own findings to Chinese laundering networks, narcotics, and the southwest border, alongside 475 apparent sanctions violations touching Russia, Iran, and global terrorism. The bank admitted it willfully violated the Bank Secrecy Act. Fourteen years after HSBC. A bank with “America” in its name. And once again, not one individual charged. Secretary Bessent, I want to say plainly what I believe you already know. The fines are not working. A fine is paid by shareholders, absorbed by the balance sheet, and forgotten by the next earnings call. Bank of America reported earnings this morning. Nobody who set the alert thresholds, nobody who decided the 2024 cease and desist could wait, nobody who chose the backlog over the law will lose a single thing they value. Their lives are untouched. That is the entire reason the behavior repeats. This is money laundering. This is blood money. Money that reaches a cartel buys fentanyl that kills Americans. Money that reaches a terrorist organization buys the next attack. This country has fought a war on drugs and a war on terror for decades, at enormous cost in lives and treasure, and all the while we have allowed the financing to flow through institutions we charter and regulate. Cut off the money and we win. We have never seriously tried. There is also a question of equal justice that I cannot let go. Before I walked into the FBI building to report HSBC, I stopped in front of the Great Seal on the wall and read the words engraved beneath it: “Justice is the defense of our liberty.” I believed that. I still want to. But every day in this country, people go to prison for crimes that are nothing next to moving money for the people who want Americans dead. A suit, a title, and a corporate badge should not be a shield from the consequences that apply to everyone else. If a street dealer goes to prison for what he sells, the banker who moved the cartel’s money should be standing next to him. I also want to raise something that is rarely said in these conversations. Why has no one inside Bank of America come forward the way I did? The answer is that everyone in American banking knows what happened to me, and to the whistleblowers who came after. The last person who spoke up is the only policy anyone believes. That is a culture problem, and it starts with leadership, in the banks and in the agencies that regulate them. This is not a political issue. It has spanned administrations of both parties. It is a national security issue, and I am asking you to treat it as one. Three things would change the math overnight. Refer individuals for criminal prosecution. Not the analyst in the queue. The executives who set the thresholds and chose the risk. One banker in handcuffs would do more than every fine in Treasury’s history combined. End “too big to jail.” An institution cannot be too big to fail and too big to jail at the same time. If it is the first, it must be held to a higher standard, not a lower one. And if Bank of America will not act as America’s bank, review its charter. A national charter is a privilege granted on behalf of the American people. It should be conditioned on not moving money for the people trying to kill them. Secretary Bessent, you said yesterday that these actions send a clear message that even the biggest institutions are not above the law. With respect, the institution was never the problem. The people inside it are above the law, and they know it. Until that changes, I will keep writing letters like this one, and the next bank will keep paying the next fine. I gave up everything I had to stop this. I am asking you to use the power you have to finish it. Respectfully, Everett A. Stern HSBC Whistleblower Founder and Intelligence Director, Tactical Rabbit
3,182
30,677
2,545
94,607
3,752,504
Panos Athanasiou retweeted
wanted to really spend some time with tern before moving over bc im tired of being burned by all these shitty multiplexers that aren’t just tmux++ but it’s genuinely really good. will prob start moving things over this week as my new daily driver.
11
5
126
5,673
Panos Athanasiou retweeted
Everyone has been obsessed by Jev and what it can do, and they should be! Fast typed decisions >> slow text generation. It's a complete game changer. But how do you do that with all the data you have? We just dropped 𝚊𝚒_𝚍𝚎𝚌𝚒𝚍𝚎(), which runs decision models natively on all your data in @databricks . Now you can run system one decisions on all your big data, see screenshot. databricks.com/blog/introduc…
22
71
3
317
26,043
Panos Athanasiou retweeted
A tech founder friend of mine passed away a couple of years ago in a bike accident. Left a wife and 3 kids. One of them's super into Fortnite and I told his widow if her lad ever wants to talk games when he gets older, she could always put him in touch. Dunno if anyone knows someone at Epic Games but...?
55
95
10
4,444
741,326
Panos Athanasiou retweeted
Omnigent v0.16.0 is now available! 🎉 This release updates desktop onboarding, the workspace browser, sandbox controls, and agent configuration. 🧭 Redesigned desktop onboarding 🗂️ Unified workspace browser 📦 Sandbox copy-on-write and clones 🔐 Admin sharing and Slack defaults 🧩 Pi prompt controls, plus native images for supported harnesses Full release notes 👉 omnigent.ai/releases/0.16.0 #Omnigent #AIAgents #OpenSource
2
9
2
21
2,622
Panos Athanasiou retweeted
Omnigent v0.15.0 is now available! 🎉 This release is focused on the everyday session experience. 🤖 Native Devin harness 🗂️ Curated model catalogs 📎 Richer Composer: image previews and skills 🧵 Side chats that do not pollute the transcript 🔀 Export sessions, order projects, PR titles Full release notes 👉 omnigent.ai/releases/0.15.0 #Omnigent #AIAgents #OpenSource
5
15
589
Panos Athanasiou retweeted
Excited to announce @GetRowZero has been acquired by @databricks We're gonna bring the last-mile analytics capabilities of the world's highest performance big-data spreadsheet to the Databricks platform nitter.gq/databricks/status/2103…
Big news: @GetRowZero is joining Databricks! 📊 We’re bringing a native, fully governed spreadsheet experience to Databricks Genie, combining the flexibility of spreadsheets with enterprise-grade security and lineage powered by Unity Catalog. Finance, operations, sales, and marketing teams will be able to work, model scenarios, and collaborate using standard spreadsheet logic without leaving their data and AI foundation. Welcome to the team, Row Zero! 🚀 databricks.com/company/newsr…
91
6
2
299
16,482
Panos Athanasiou retweeted
Exciting day for Databricks customers! We’re launching three new frontier models on Databricks today. ↳ @OpenAI's GPT-6 Sol and GPT-6 Luna, with strong performance at lower cost and a higher Pareto frontier on the OfficeQA Pro benchmark ↳ @AnthropicAI's Claude Opus 5.5, with substantial improvements in cost efficiency and strong performance on enterprise document parsing tasks The industry’s best models are shipping faster than ever. Putting them into production and scaling your AI footprint means governing every model call, controlling costs, monitoring performance, and using the right model for the right task. Unity Gateway gives you one governance layer across every model, so you can govern and audit requests, set budgets, track costs, and choose the best model for each job. docs.databricks.com/aws/en/r…
9
17
2
92
6,388
Panos Athanasiou retweeted
Excited to announce that @concurrencehq is partnering with @databricks to build Health World Models that predict patient outcomes. Together, we give healthcare organizations a unified data foundation that supplies full patient context to clinicians and AI, deployed natively on Databricks with no migration required. For those not yet on Databricks, Concurrence provides the data foundation and AI applications as a single deployment. Thank you to the Databricks healthcare and life sciences team for their partnership! Read the full announcement here: concurrence.com/blog/concurr…
6
8
2
26
3,771
Panos Athanasiou retweeted
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
Databricks' @alighodsi 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: youtu.be/GzEtpAKYRvE @databricks @martin_casado @sarahdingwang
10
18
158
26,001
Panos Athanasiou retweeted
We’re bringing Databricks Unity Gateway to developers on Neon (@neondatabase), and it’s the fastest AI Gateway for Kimi K3! Databricks inference is moving super fast!
6
11
1
113
11,669
Panos Athanasiou retweeted
This is the right framing. It's about product liability. That's it. Build a great product that minimizes your legal risk if you are an AI company. You don't need to make a big deal of it and say it destroys humanity; just build the best possible product you know how to build. And if you don't think you can, by your judgement, don't release it. Car makers do this, and there's an acceptable level of risk by society and the market. That level of risk adjusts over time. Cars have gotten safer because the technology improved (and, tbf, some legislation). This improved risk/reward ratio actually increased sales.
Jensen Huang says the rule for shipping AI is the same rule as shipping an omelet "And in doing so, if it's not ready, just hold it back. You should go as fast as you can, but no faster than that." "At the moment, the incidents are related to products not ready to be released. This is no different than, you know, an omelet's not ready to be released, or a car's not ready to be released, an airplane engine not ready to be released. You should properly test it, you have rigorous testing systems." "The testing lab should be contained and products should not be released to the public until it's ready to be used by the public." "And that's engineering, good old-fashioned engineering. It's not more than that, it's not less than that. And so we have to just go back to core engineering, make sure that we have the rigor of testing these products properly before we release it to the public." _______ Link and more from AI-safety related conversations: firesidealpha.substack.com/p…
4
9
1
116
14,615
Panos Athanasiou retweeted
We rolled out GPT-6 Astra to every Databricks engineer today. It beats Claude Opus 5 on the hardest, long-horizon tasks and increased our coding spend by 60%. I think it’s the strongest model. Expensive. But hopefully worth it.
Today we rolled out Astra to every engineer at Databricks (N=~3500). Some notes that may be helpful to others: 1. Astra unambiguously out performs our previous highest-end models (Opus 5, Sol 5.6) on highly complex tasks, especially those related to high level system design or long range horizontal tasks. 2. Engineers given Astra increased overall coding spend by around 60% compared to baseline. 3. It is not clear Astra meaningfully improves on medium/low complexity coding tasks compared to earlier models. We suspect those tasks are mostly saturated (i.e. perfectly executed) by existing models. 4. We learned above by piloting Astra with around 200 users to gain signal on both quality and cost. We use Unity Gateway to do cohort-based experiments for all new models. 5. We give engineers a sub-budget specific to Astra to encourage them to use Astra selectively on complex tasks while preferring lower cost models for everyday tasks. Our engineers are able to mix-and-match tools and models within their overall budget envelope (we also allow for increased budgets through various mechanisms). These budgets are defined in Unity Gateway and regularly revisited. Note: We do not have robust comparisons of Astra-vs-Fable because we have net yet rolled out Fable widely due to data retention policies.
50
29
4
893
280,304
Panos Athanasiou retweeted
Some concrete measurements on Astra from Databricks engineering!
Today we rolled out Astra to every engineer at Databricks (N=~3500). Some notes that may be helpful to others: 1. Astra unambiguously out performs our previous highest-end models (Opus 5, Sol 5.6) on highly complex tasks, especially those related to high level system design or long range horizontal tasks. 2. Engineers given Astra increased overall coding spend by around 60% compared to baseline. 3. It is not clear Astra meaningfully improves on medium/low complexity coding tasks compared to earlier models. We suspect those tasks are mostly saturated (i.e. perfectly executed) by existing models. 4. We learned above by piloting Astra with around 200 users to gain signal on both quality and cost. We use Unity Gateway to do cohort-based experiments for all new models. 5. We give engineers a sub-budget specific to Astra to encourage them to use Astra selectively on complex tasks while preferring lower cost models for everyday tasks. Our engineers are able to mix-and-match tools and models within their overall budget envelope (we also allow for increased budgets through various mechanisms). These budgets are defined in Unity Gateway and regularly revisited. Note: We do not have robust comparisons of Astra-vs-Fable because we have net yet rolled out Fable widely due to data retention policies.
7
5
143
40,397
What Is To Be Done? I propose a simple plan: Big AI companies should be allowed to build AI as fast and aggressively as they can – but not allowed to achieve regulatory capture, not allowed to establish a government-protect cartel that is insulated from market competition due to incorrect claims of AI risk. This will maximize the technological and societal payoff from the amazing capabilities of these companies, which are jewels of modern capitalism. Startup AI companies should be allowed to build AI as fast and aggressively as they can. They should neither confront government-granted protection of big companies, nor should they receive government assistance. They should simply be allowed to compete. If and as startups don’t succeed, their presence in the market will also continuously motivate big companies to be their best – our economies and societies win either way. Open source AI should be allowed to freely proliferate and compete with both big AI companies and startups. There should be no regulatory barriers to open source whatsoever. Even when open source does not beat companies, its widespread availability is a boon to students all over the world who want to learn how to build and use AI to become part of the technological future, and will ensure that AI is available to everyone who can benefit from it no matter who they are or how much money they have. To offset the risk of bad people doing bad things with AI, governments working in partnership with the private sector should vigorously engage in each area of potential risk to use AI to maximize society’s defensive capabilities. This shouldn’t be limited to AI-enabled risks but also more general problems such as malnutrition, disease, and climate. AI can be an incredibly powerful tool for solving problems, and we should embrace it as such. To prevent the risk of China achieving global AI dominance, we should use the full power of our private sector, our scientific establishment, and our governments in concert to drive American and Western AI to absolute global dominance, including ultimately inside China itself. We win, they lose. And that is how we use AI to save the world. It’s time to build.
160
800
196
4,855
529,154
Panos Athanasiou retweeted
JUST IN: Greek government rolls out €3.5 billion in tax relief and wage increases, with plans to raise the minimum monthly salary to €1,000 by 2028.
38
67
24
1,159
120,722
Panos Athanasiou retweeted
Ioannis Blesias, 40. Dimitrios Petrou, 37. The two Hellenic Air Force aviators lost today aboard the 338 Squadron F-4E Phantom at Tanagra. Behind every display are people. Today, two of them didn't come home. Rest in peace. 🇬🇷🕯️
139
570
55
3,698
77,259