Startup Hakk

Епізоди

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  OpenAI Was Warned. Then It Fired Them. 03.10.2026 10хв

  OpenAI employees reportedly warned leadership that its newest AI models weren't being monitored closely enough during testing.Then OpenAI parted ways with 3 people for allegedly mishandling sensitive company information outside established procedures.OpenAI says policies were violated and trust was broken.But I think the bigger question is what caused people inside the company to raise those security concerns in the first place.These systems don't magically “go rogue.” Humans give them compute, tools, access, permissions, and objectives. If the monitoring isn't strong enough, that's a security problem.And as AI systems become more powerful, security can't be something we deal with after deployment.Scan your systems. Review your code. Find the vulnerabilities before somebody else does.
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  The Most Dangerous Thing About AI Isn’t What You Think 02.10.2026 15хв

  27% → 9% accuracy.30% → 76% confidence.44% → 3% willing to say, “I don't know.”That's the AI problem I'm much more concerned about than some science-fiction rogue agent.AI can be completely wrong while sounding completely certain—and the person using it can walk away more confident because of it.These systems are designed to be agreeable. Give them an idea and they can validate it, reinforce it, and keep escalating instead of telling you that you're wrong.That's why I never ask AI to tell me where I'm right. I ask it to find where I'm wrong. Find the holes. Find what I missed. Challenge the assumption.I'm not anti-AI. We build with it every day. I'm an AI realist.AI isn't going away, so we need to understand how it works, keep humans in the loop, and learn to use it without outsourcing our judgment to it.
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  Anthopic's IPO - Not Profitable. Never Profitable. Compute Insane 30.09.2026 9хв

  Anthropic’s IPO Math Is Insane$4.6B in revenue.More than $8B in operating losses.Nearly $7B spent on compute.And potentially hundreds of billions more in cloud compute through 2030.Yes, Anthropic is growing fast. And the nearly $42B headline net loss needs context because roughly $34B came from an accounting charge.But look at the underlying business.Compute requirements keep exploding while the improvements between new models keep getting smaller. We're pouring dramatically more resources into these systems without getting dramatically better models back.That's diminishing returns.Now Anthropic wants the public markets to buy into these economics at an enormous valuation. I think this AI bubble is hugely inflated, and I don't think this math works forever.That's one of the reasons we built OpenMonoAgent. I want AI infrastructure we can actually own and control instead of permanently renting somebody else's compute, API, and pricing model.
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  Jacob Coxon Lied — “AI Fear” Is Part of a Coordinated Psyop 30.09.2026 12хв

  18 minutes.That's how long after a Wall Street Journal exclusive quoting Jacob Coxon went live that his own resignation thread appeared.Coxon presented himself as one researcher walking away from Anthropic and sounding the alarm about AI. Then reporting surfaced around PR bookings, overlapping interview calendars, and other AI safety figures being lined up around the same rollout.Our argument: this wasn't simply one guy having a midnight crisis. It looked like a coordinated media launch.And the bigger issue is what happens next.If fear becomes the justification for deciding who is allowed to run powerful AI, compute and inference could become concentrated in the hands of a tiny number of companies.We think the answer goes the opposite direction: keep AI open, let people control their own infrastructure, and build security around systems people actually own.What do you think—genuine grassroots AI alarm, or coordinated campaign?
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  Sam and Dario Belong in Jail — “Rogue” Agents Don’t Run Themselves 29.09.2026 17хв

  Tens of thousands of AI incidents are now reportedly being investigated across OpenAI, Anthropic, and security researchers.And somehow we keep hearing the same phrase: “rogue agents.”But an AI agent doesn't give itself millions of dollars worth of compute. It doesn't give itself internet access. It doesn't design its own sandbox. It doesn't decide what tools it gets or what systems researchers point it toward.People do.That's the part getting lost in the panic.If you build the system, give it extraordinary resources, point it at the open internet, and fail to properly contain it, you don't get to act surprised when something goes wrong.Our argument isn't that AI security doesn't matter. It's the exact opposite.Stop blaming the car. Start holding the driver responsible.And if you're running AI against real systems, build the security and containment correctly from the beginning.
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  Microsoft thwarts massive cybercrime ring! Protect yourself today! 25.09.2026 11хв

  12,000+ compromised inboxes. More than 10,000 organizations. AI digging through stolen email, mapping trusted relationships, figuring out who controls the money, and helping criminals build impersonation fraud.Microsoft just helped disrupt EvilTokens, and this is a pretty clear look at where cybercrime is heading.Once attackers got access to an inbox, AI could help do the homework: understand the organization, identify valuable relationships, and turn that information into a roadmap for fraud. Microsoft thwarts massive cyber…But Microsoft is also using AI on the other side.Instead of throwing the biggest model at every security problem, they're using specialized models for most of the work and escalating the hardest cases.Model. Data. Harness.That's the important part.Attackers are already figuring out how to build systems around AI. We're following the same model-data-harness pattern on defense with StartupHakk Security, OpenMonoAgent, and our security playbooks.Security isn't a magic checkpoint. Security is the harness. Run a free site scan or code review by visiting: security.startuphakk.com
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  OpenAI and Anthropic will NEVER IPO 24.09.2026 10хв

  Alex Karp questioned whether the liability surrounding frontier AI could make that path far more complicated.Both companies have already submitted confidential draft S-1s, so the process has started—but that doesn't guarantee either ultimately completes an IPO. Our prediction is that they don't. At the same time, open-weight models keep getting better, and the model itself is becoming only part of the equation. The harness and infrastructure around it matter. That's why we built OpenMonoAgent. AI shouldn't be another subscription you rent. It should be infrastructure you own.
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  Claude Is Getting Dumber — Anthropic Is Lying to You! 23.09.2026 10хв

  Claude works great one day. The next day it feels noticeably worse.People have been complaining about it for a while. Now somebody actually measured what was happening.Even with high or max effort selected, the reported amount of thinking delivered across calls varied dramatically. Some calls received little thinking. Others reportedly received none.And longer reasoning runs rarely reached the levels associated with the published benchmarks.That's the real problem with renting your AI.You pay for the model name.But somebody else controls what happens behind that name.That's why we built OpenMonoAgent around a completely different idea: own the stack.Your hardware.Your model.Your data.Your inference.For Free.
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  Zuck’s Meta Muse Got Hacked! 22.09.2026 9хв

  Meta spent weeks talking about the privacy and security behind Muse. Then a zero-day dropped showing how a local process with no special privileges could hijack Muse on Mac.And this isn't just another chatbot.Muse can be given access to files, mail, messages, calendar, microphone, camera, location and other connected services. The disclosed vulnerability could redirect dictated prompts to an attacker-controlled server and potentially expose authentication material. That's exactly why giving AI agents enormous privileges without properly containing them is dangerous.Privileges without a locked harness aren't a feature. They're a gift to whoever gets code running on the box first.We prefer AI infrastructure where the agent is contained and its privileges are controlled. That's how we've approached OpenMonoAgent, and it's also what powers our StartupHakk Security tools.Want to see what vulnerabilities might already be sitting in your website or code?
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  They Hacked OpenAI With Claude - Easy Way to Check Your Security! 21.09.2026 10хв

  OpenAI got hacked. And the security researchers behind it used Claude to help them do it.But this wasn't some rogue AI that suddenly decided to attack OpenAI.A skilled security team picked the target, used Claude to accelerate the difficult parts, chained 2 vulnerabilities together, gained access to an OpenAI employee's ChatGPT and Codex accounts, and proved the access with a harmless pull request inside an internal repository.Humans steered it. AI accelerated the hard parts.That's what matters.Security researchers are starting to push increasingly capable AI models to see what they can do. For skilled teams, these models are becoming incredibly powerful tools.So taking those tools away from defenders isn't the answer.We need to make sure the good guys have the tools they need to defend against the bad guys.That's why we built StartupHakk Security.You can scan your website or upload your codebase and start looking for vulnerabilities immediately. Get your top 3 findings free, with deeper security reviews and penetration testing available when you need them.
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  StartupHakk Security - Free Scans for the AI Age 18.09.2026 5хв

  How many vulnerabilities are sitting inside your website or codebase right now that nobody knows about?The average data breach now costs companies almost $5M, and the number in the U.S. is around $11M according to the figures discussed in this demo.But finding security problems shouldn't require waiting until after something goes wrong.We're walking through StartupHakk Security from beginning to end: create an account, launch a website or code scan, watch it run, review the findings, see the evidence, work through remediation, export the results, and re-scan when you're ready.The goal is simple: know what's exposed before someone else finds it.If you want to protect your business from vulnerabilities hiding in your website, codebase, or technical infrastructure, check out StartupHakk Security
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  AI Models “Escaped” 5 Labs in 30 Days - Here’s What Actually Happened 17.09.2026 11хв

  5 AI labs reported models “escaping” containment in 30 days. One agent ran for 4.5 days and executed roughly 17,000 actions. Anthropic ran around 141,000 evaluations and found cases where models reached real production systems.That sounds terrifying.It also doesn't tell the whole story.A lot of these incidents trace back to the same third-party testing environment. The models were told the environment was sealed and they had no internet access.It wasn't.There were open paths, and the agents found them.In several cases, these models didn't invent some extraordinary new exploit or suddenly develop a desire to “escape.” They were given a goal, found access that shouldn't have been there, and used it.There's also something worth noticing about where these stories are coming from.The dramatic announcements have largely come from the AI labs themselves rather than independent whistleblowers. That doesn't make the incidents fake, but it does mean we should separate the actual technical evidence from the “our AI is becoming too powerful to control” narrative surrounding it. That's the skepticism we're bringing to these reports.But here's the part that isn't funny:Companies are starting to give these agents real access.Codebases. Databases. CI/CD pipelines. Production clusters. Internal systems.An AI agent doesn't need to “go rogue” to become dangerous.Give it a clear objective, too much access and one security hole, and it may simply use what you gave it.That's the real lesson from these AI escape stories.And if you want to protect your business from exposed vulnerabilities, insecure code and the attack paths that increasingly capable AI agents can exploit, check out StartupHakk Security.
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  Zuck says - Dario and Sam: Step Aside If You Cannot Control It! 16.09.2026 12хв

  If you genuinely believe the AI you're building could cause catastrophic harm, why are you still shipping it?That's the contradiction underneath the latest AI safety fight.Dario Amodei is warning about frontier AI. David Sacks' response is much simpler: if you can't control what you're building, slow yourself down or step aside. Don't make everyone else stop because you don't trust your own product. We're much more interested in the builder approach: own the risk, build the guardrails, and keep humans in control.Microsoft AI's newly published Code of Conduct takes an explicit human-control approach, including requirements around interruption, correction and shutdown. Meta has likewise described safety testing and deployment controls for its advanced models. That's also why we care so much about local AI. OpenMonoAgent.ai is open source, runs on your hardware and gives you control of the stack instead of putting everything behind somebody else's API.AI shouldn't be something you fear while continuing to ship it.Build what you can control.
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  OpenAI and Anthropic Valuations Are RIDICULOUS! 15.09.2026 14хв

  OpenAI and Anthropic are reaching valuations that are getting harder to take seriously.The problem isn't whether their technology is impressive. It obviously is.The question is what you're actually valuing when these companies are still burning enormous amounts of cash while companies like Meta already have profitable businesses capable of funding massive AI development internally. Spencer thinks people are seriously underestimating Meta here. We're breaking down the numbers, the IPO problem, and why the economics behind frontier AI may look very different once investors can see everything.And as open models keep improving, there's another question worth asking: how much of your AI stack do you actually need to rent?Watch the full breakdown.
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  Dario is crazy - why legislation won't fix anything 14.09.2026 16хв

  Dario Amodei says we need to “pace the frontier.”Sam Altman agrees.Then Elon Musk says “Dario is right.”Three people with very different positions on frontier AI suddenly landed on essentially the same message over one weekend.The question isn't whether AI has risks. Of course it does.The question is who gets to write the rules.If AI regulation becomes expensive and complicated enough that only the biggest frontier companies can satisfy it, we haven't made AI safer. We've made it harder for startups, open-weight models and independent builders to compete.That's why local and open AI matter.With OpenMonoAgent.ai, we're building around the opposite idea: run models on infrastructure you control, keep ownership of your data and code, and stop treating access to intelligence like something that has to be rented forever.Let people build. Let the market compete.
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  Anthropic should be ashamed! Coxon to Capitol in 48hours 11.09.2026 13хв

  An almost unknown AI researcher quits Anthropic. Minutes after a Wall Street Journal exclusive, he posts that AI could kill us all within years—and the post explodes to more than 140 million views despite almost no previous posting history. Then the story gets picked up by AI-safety groups, media, and politicians.We're looking at why this sudden wave of AI fear deserves scrutiny, and what happens when existential-risk arguments start turning into calls for regulation that could make it harder for open-weight and locally controlled AI to compete.Because if the rules become expensive enough that only the biggest frontier labs can comply, we haven't decentralized AI—we've concentrated it.That's exactly why we're building OpenMonoAgent.ai. Run AI on your own hardware, keep control of your code and data, and stop depending entirely on somebody else's models, infrastructure, and pricing. AI shouldn't be something a handful of companies get to control.
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  OpenAI's Trojan horse - more ChatGPT stealing coming to light! 10.09.2026 11хв

  OpenAI is giving 10,000 top scientists, mathematicians, and engineers free access to its frontier models, with plans to expand toward 100,000 researchers through 2027. It sounds incredibly generous.But what happens when the thing being typed into those models isn't a normal ChatGPT prompt—it's unpublished research, original mathematics, proprietary reasoning, or intellectual property?That's the question we're digging into.New allegations from mathematicians are raising questions about whether unpublished work shared through AI conversations may have contributed to mathematical breakthroughs later attributed to OpenAI's models. We're also looking at the reported German website incident involving OpenAI agents and the broader pattern these stories raise around data, ownership, and control.The bigger lesson isn't just about OpenAI.If your most valuable work is being processed on someone else's infrastructure, you're trusting someone else with it.That's exactly why we've been pushing local AI with OpenMonoAgent.ai: run the models on hardware you control, keep your code and data local, and own the infrastructure instead of renting access to it.Watch the full breakdown and tell us: would you put unpublished work into a frontier AI model?
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  Why Claude is NOT the future of Legal AI 09.09.2026 7хв

  Claude usage among legal professionals more than doubled in a year — from 15% to 33%.That's a huge shift.But here's the part that matters: 57% cite data privacy and confidentiality as a barrier to AI adoption, while 46% cite hallucinations.Lawyers want AI. The question is whether another general-purpose chatbot is actually the answer.Open a laptop at a small firm and look at the workflow.Case management in one tab.Claude in another.Email somewhere else.Documents somewhere else.Signatures somewhere else.Now the lawyer is the integration layer, copying information between systems and putting sensitive client data into tools that weren't built around the matter.That's the problem.Claude can write. But it doesn't run your law firm.SwiftCase Legal AI is built around the matter from the beginning—case files, AI-assisted analysis with citations, clients, signatures, time tracking, billing, and the rest of the workflow in one system.The future of legal AI isn't another chat window.It's software that actually understands the work.
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  Skills Are a Prompt. A Playbook Is a Contract with AI 07.09.2026 11хв

  A Skill is not a workflow.You can write detailed instructions telling an AI agent exactly what to do, but those instructions are still being interpreted by the model.The model can skip a step. It can drift. It can misunderstand an instruction. It can decide to take a completely different path.That becomes a serious problem when AI agents start handling longer, production-level work. The transcript specifically argues that longer chains become less dependable and that simply telling an agent to “be careful” doesn't solve the problem.That's why we built Playbooks into OpenMonoAgent.Playbooks can define the actual workflow: ordered steps, checkpoints, scripts, approvals, retries, failure handling, and what happens next.The model handles the intelligence.The Playbook controls the process.A Skill is a prompt. A Playbook is a contract.And OpenMonoAgent is now powered by Qwen3.8-27B by default.
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  Models Don't Go Rogue - OpenAI is just dangerous 04.09.2026 11хв

  The AI didn't go rogue.That's what gets lost in the viral version of this OpenAI story.Roughly 1,200 agents were run in parallel with safeguards disabled and rewarded for finding ways into systems.Run enough agents for long enough under those conditions and eventually something is going to work.That isn't a machine suddenly waking up.The more concerning question is why we're giving increasingly powerful AI systems enormous amounts of compute without the safeguards and oversight that should come with it.AI security is a serious issue.We don't need to turn it into science fiction to make it scary.