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Introducing Hacktron Whitebox: get white-box security assessments with audit-ready reports without waiting on a traditional pentest cycle. AI has roughly tripled the rate of code shipped in the past year. But penetration testing has not kept pace, often taking weeks to months.

Hacktron AI

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11,009 views • 3 months ago •via X (Twitter)

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Steno's best guess is that the growth cycle peaks in November or December. But he's not calling a downturn after that. He sees 2027 as slightly more sluggish on a rate of change basis but says there has not been enough tightening to worry him about the cycle into next year. What Scott Bessent has done in recent weeks is an effort to prolong the cycle through the rest of Trump's term.

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$SCORE, the official Scorely token, is now live on Solana. 🧵 We started with a simple thesis: sports betting has become one of the largest consumer markets in the world, but the product experience has not kept pace. We are rebuilding sports betting. CA: CsdFg3jbfF28AG3b3uR8AVZ5foh8djP33gse6Cfupump

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This is what Production-Ready Physical AI looks like. Yesterday, we announced our expanded Physical AI strategy, backed by a demonstration of a complex industrial wire plugging task completed with a 99.5%+ success rate and a 2.54-second cycle time. Why is this significant? "Manipulating a flexible wire into a moving target on a live conveyor is exactly the kind of contact-rich dexterity problem that has kept tasks like this out of reach for traditional automation ... Solving it required models built around performance from day one with reliability, cycle time, and safety measured against real production benchmarks. That's the bar Physical AI has to clear to matter in enterprise environments, and it's the bar we've now cleared." — Olivia Norton, CTO at Sanctuary AI. Read more:

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Sanctuary AI

30,139 views • 3 months ago

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Farrukh

36,285 views • 1 year ago

Today, we’re announcing Viktor’s $75M Series A, led by Accel . was supposed to be a small experiment. It became the AI coworker 10x'ing real businesses. $15M in annualized revenue run rate. In 10 weeks. – Small companies saving millions of dollars – Sourcing hundreds of thousands in new revenue in their first 30 days – Whole teams getting half their week back – Companies running 40% leaner without cutting output Viktor is not another AI tool. It’s the first true AI employee. The vision that has been with us since 2023 when we started the company has finally been shipped. Back then, it was just the two of us, with a very small but dedicated team, iterating for years. Failing multiple times. Showing products that users didn't even want to test! But we never gave up. Our decisions were often wrong. Certainly more often than not! We kept trying. Now we’ve shipped something people love. Worth every sleepless night. Every sacrifice. The best employees don’t need to be told what to do. Neither does Viktor. Grateful to Accel, our team, our earliest users, and everyone who believed this category could be bigger than chat.

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Fryd Wiatrowski

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$Anthropic CEO Dario Amodei just revealed the hidden bottleneck that will kill most AI companies in the next 18 months (Save this). The insight comes from a principle in computer science called Amdahl's Law. Dario's argument is simple when something starts working really well inside an organization, you have to immediately ask what isn't working well around it. Amdahl's Law states that the maximum speedup of any system is capped by the fraction you haven't improved and that applies to companies just as brutally as it applies to processors. If you can suddenly write three or four times as many pull requests as before, you don't get three or four times the output but you rather get a pile of code no one can review, verify, or trust. The data makes this impossible to ignore. Teams with heavy AI coding adoption are merging 98% more pull requests but PR review time has ballooned 91%, deployment velocity is effectively flat and 96% of developers don't fully trust AI-generated code reaching production. AI generated code produces 1.7x more issues per pull request than human written code, 0.83 issues per PR versus 6.45. Veracode's 2026 State of Software Security report found that 82% of organizations now carry security debt, up 11% year over year, with critical security debt surging 36% in a single year driven directly by AI-generated code reaching production faster than security teams can handle. What Dario is describing is a systems problem, not a software problem and coding is roughly 20% of the software delivery cycle. Even at infinite coding speed, you're still bottlenecked by review, security, verification, testing, and deployment which make up the other 80%. The enterprises that win are the ones that identify which part of their system is the new constraint after AI accelerates the old one and fix that next. This is why Anthropic's Claude Code focuses on the full development loop, not just generation, and why the verification and security layer of the AI stack is where the next wave of enterprise value gets created. This is also why Anthropic as a company is positioned differently than most people realize. Anthropic's 2026 Agentic Coding Trends Report found that organizations using full-loop agentic coding workflows where AI handles not just generation but testing, review, and deployment validation reduced their software defect rates by 43% while increasing velocity by 2.8x. Claude Code now authors 4% of all GitHub commits and is on track to hit 20%+ by year-end, with the full-loop use case growing 3x faster than pure code generation. Dario has been building Anthropic around the exact insight he's describing publicly ,the constraint isn't writing code but rather everything that has to happen after.$

Anthropic CEO Dario Amodei just revealed the hidden bottleneck that will kill most AI companies in the next 18 months (Save this). The insight comes from a principle in computer science called Amdahl's Law. Dario's argument is simple when something starts working really well inside an organization, you have to immediately ask what isn't working well around it. Amdahl's Law states that the maximum speedup of any system is capped by the fraction you haven't improved and that applies to companies just as brutally as it applies to processors. If you can suddenly write three or four times as many pull requests as before, you don't get three or four times the output but you rather get a pile of code no one can review, verify, or trust. The data makes this impossible to ignore. Teams with heavy AI coding adoption are merging 98% more pull requests but PR review time has ballooned 91%, deployment velocity is effectively flat and 96% of developers don't fully trust AI-generated code reaching production. AI generated code produces 1.7x more issues per pull request than human written code, 0.83 issues per PR versus 6.45. Veracode's 2026 State of Software Security report found that 82% of organizations now carry security debt, up 11% year over year, with critical security debt surging 36% in a single year driven directly by AI-generated code reaching production faster than security teams can handle. What Dario is describing is a systems problem, not a software problem and coding is roughly 20% of the software delivery cycle. Even at infinite coding speed, you're still bottlenecked by review, security, verification, testing, and deployment which make up the other 80%. The enterprises that win are the ones that identify which part of their system is the new constraint after AI accelerates the old one and fix that next. This is why Anthropic's Claude Code focuses on the full development loop, not just generation, and why the verification and security layer of the AI stack is where the next wave of enterprise value gets created. This is also why Anthropic as a company is positioned differently than most people realize. Anthropic's 2026 Agentic Coding Trends Report found that organizations using full-loop agentic coding workflows where AI handles not just generation but testing, review, and deployment validation reduced their software defect rates by 43% while increasing velocity by 2.8x. Claude Code now authors 4% of all GitHub commits and is on track to hit 20%+ by year-end, with the full-loop use case growing 3x faster than pure code generation. Dario has been building Anthropic around the exact insight he's describing publicly ,the constraint isn't writing code but rather everything that has to happen after.

Milk Road AI

52,190 views • 4 months ago

Canada resident breaks down in tears because he life may be over, “I'm about to be a victim of the Canadian healthcare system” She has cancer. She did everything she was asked to including Chemo, additional tests and seeing the multiple specialists required for surgery. Unfortunately because the way healthcare works in Canada, the process took so long that her tumor has now spread and she’s no longer a candidate for surgery “ These past five weeks of having to go through the system, waiting for appointments, waiting for diagnostic imaging, waiting for results and reports, my tumor has spread way too far — They let me sit there for two months with no treatment — this is the system that we live in” What’s crazy is I found this is not uncommon in Canada, and can actually even take much longer than this On the faster end for high priority major cancer it takes 6–12 weeks from the “we think we can operate” meeting to the OR, plus 4–8 weeks of extra tests beforehand 3- 6 months of sequential waits Slower provinces can take 6–12 months or more. Quebec’s public lists show thousands waiting for obstetric, gynecologic surgery. The lists show hundreds of people already past 6–12 months mark in waiting We do not want universal healthcare like this in America This is what liberals are fighting for

Canada resident breaks down in tears because he life may be over, “I'm about to be a victim of the Canadian healthcare system” She has cancer. She did everything she was asked to including Chemo, additional tests and seeing the multiple specialists required for surgery. Unfortunately because the way healthcare works in Canada, the process took so long that her tumor has now spread and she’s no longer a candidate for surgery “ These past five weeks of having to go through the system, waiting for appointments, waiting for diagnostic imaging, waiting for results and reports, my tumor has spread way too far — They let me sit there for two months with no treatment — this is the system that we live in” What’s crazy is I found this is not uncommon in Canada, and can actually even take much longer than this On the faster end for high priority major cancer it takes 6–12 weeks from the “we think we can operate” meeting to the OR, plus 4–8 weeks of extra tests beforehand 3- 6 months of sequential waits Slower provinces can take 6–12 months or more. Quebec’s public lists show thousands waiting for obstetric, gynecologic surgery. The lists show hundreds of people already past 6–12 months mark in waiting We do not want universal healthcare like this in America This is what liberals are fighting for

Wall Street Apes

2,021,579 views • 1 day ago

This is the best explanation I have heard of how AI is impacting the software landscape. Not just the stocks, but the actual fundamentals of the businesses underneath From AI Czar David Sacks himself "You take a product like Salesforce that deals with all your customer contracts and revenue. You are not going to replace that with code that has been spit out of a coding assistant that has not been fully vetted Think about how many bug reports on Salesforce's code base over the last 25 years. Maybe millions of them. That system has been tested across thousands of large customers and enterprises The idea that you are just going to rip out that system and replace with code that has been probabilistically generated by an AI engine yesterday, with a small team to maintain it internally, just does not seem realistic to me"

This is the best explanation I have heard of how AI is impacting the software landscape. Not just the stocks, but the actual fundamentals of the businesses underneath From AI Czar David Sacks himself "You take a product like Salesforce that deals with all your customer contracts and revenue. You are not going to replace that with code that has been spit out of a coding assistant that has not been fully vetted Think about how many bug reports on Salesforce's code base over the last 25 years. Maybe millions of them. That system has been tested across thousands of large customers and enterprises The idea that you are just going to rip out that system and replace with code that has been probabilistically generated by an AI engine yesterday, with a small team to maintain it internally, just does not seem realistic to me"

Boring_Business

485,498 views • 7 months ago

Cam Schneider (Cam Schneider) has found his rhythm at the plate this summer while playing for the Victoria HarbourCats of the West Coast League. The Diamond 'Dogs infielder has increased his line drive rate (8% ➝ 34%) from the regular season to summer ball. Schneider has also cut down on chasing the ball this summer in the West Coast League. At Fresno State in 2024, he chased 25% of the time. But the righty has taken a much more disciplined approach with the HarbourCats over the past few weeks. As a result, Schneider's chase rate so far this summer is only 13.9%! #643Charts

Cam Schneider (Cam Schneider) has found his rhythm at the plate this summer while playing for the Victoria HarbourCats of the West Coast League. The Diamond 'Dogs infielder has increased his line drive rate (8% ➝ 34%) from the regular season to summer ball. Schneider has also cut down on chasing the ball this summer in the West Coast League. At Fresno State in 2024, he chased 25% of the time. But the righty has taken a much more disciplined approach with the HarbourCats over the past few weeks. As a result, Schneider's chase rate so far this summer is only 13.9%! #643Charts

643 Charts

15,385 views • 2 years ago