Google Tops New AI Trust Ranking, Beats OpenAI & Anthropic

Fri, 25 Sep 2026 00:00:00 +0000

A post making the rounds on Facebook credited a group called "Hackers Tech" with ranking 500 AI companies on trustworthiness.

The research itself checks out. The name attached to it doesn’t. The actual source is Cybernews, whose new AI Trustworthiness Ranking 2026 scored companies across four pillars — security, data privacy, organizational transparency, and public perception — and somewhere along the way, someone swapped the branding and sent it back out into the world as their own.

Here’s the part that actually matters: Google’s Gemini came out on top. Not just among the big names — out of all 500 companies assessed. And the rest of the top five isn’t who you’d guess either. Krisp, Synthesia, Salesforce, Fireflies.ai. Ask ten people on the street which AI companies they trust most and none of them are naming Synthesia.

Among the household names, though, the gaps get wide fast. Microsoft’s Copilot landed at #18, OpenAI at #22 — respectable, but not close to the top. Meta and Anthropic ended up almost tied, at #49 and #50. Worth noting: Anthropic’s weak spot wasn’t privacy or security, it was public perception specifically. Make of that what you will. DeepSeek brought up the rear at #283, and honestly that one’s not surprising once you see why — no bug bounty program, no recognized security certification, nothing.

Zoom out to all 500 companies and a pattern shows up that’s kind of telling. Transparency was the strongest category industry-wide, averaging 90 out of 100. Security was the weakest, at just 32. So companies are generally fine telling you what they do. Whether they can actually back it up with locked-down systems is a different question, and apparently a harder one for most of them to answer.

How the score actually gets calculated

Worth knowing before you weigh any of this too heavily: the four pillars aren’t equal. Public perception and data privacy each count for 35% of the final score, security counts for 20%, and organizational transparency — the category every company is apparently great at — only counts for 10%. So a company can look strong on paper for being transparent about its policies while still landing mid-pack overall if its actual security posture or public reputation is shaky. It’s also worth remembering the ranking only measures what’s publicly visible — clear policies and disclosures, not confirmed internal practices or a clean incident history.

Why this matters if you’re picking a tool

If you’re choosing between AI platforms for personal or work use, this ranking is a decent gut-check but not the whole picture. A high score means a company is upfront about what it does with your data and has the basics covered — bug bounty programs, security certifications, a real privacy policy. It doesn’t guarantee nothing will ever go wrong. Worth treating it as one input, not a verdict.

Your turn

Where does your go-to AI tool land on this list — and does the ranking match how much you actually trust it? Drop your pick in the comments; curious whether the numbers here match what people are actually using day to day.

The People Building AI Are Now Asking Someone to Stop Them

Tue, 15 Sep 2026 00:00:00 +0000

Two CEOs, two interviews, same week. And weirdly they both landed in the same place: what happens if this stuff actually goes wrong.

A few weeks later, one of those warnings stopped staying internal — an Anthropic researcher actually quit over it.

I’ll be honest, my first reaction was “sure, another AI doom cycle.” We’ve had a few of these already. But this one’s different for a dumb, simple reason — it’s not outsiders this time. It’s not academics or watchdog groups yelling from the sidelines like usual. It’s the two guys actually running the companies. The ones cashing the checks. That changes how I read it, at least.

Look, it’s the same message but different words. We’re moving too fast to even understand what we’re building. Let alone control it. One went for the bigger, scarier version of that. Systems eventually doing things their own creators never predicted, can’t walk back. The other stayed closer to the ground — AI already making hiring calls right now, writing and shipping actual code, nudging political stuff, with fewer people actually watching each step happen.

None of this is new, and I don’t think either of them would claim it is. People have flagged this for years. What’s actually different is who’s saying it, and I keep coming back to that.

A few specific worries kept surfacing in both conversations, not as a neat list exactly, more just things they both kept circling back to — misuse (bioweapons research, cyberattacks, disinformation nobody’s really built defenses against), systems getting so tangled that even the people who wrote them can’t explain what’s happening inside anymore, and jobs shifting faster than anyone — schools, training programs, whole governments — can keep up with.

Is that list complete? Probably not. Is it the scariest possible framing? Also probably not — these are CEOs, they’re not going to say the quiet part all the way out loud in a press interview. But it’s still more than they’d usually admit to.

Here’s the thing that actually makes this worth caring about, I think. These aren’t random tech people. These two companies are setting the pace the rest of the industry reacts to, whether anyone likes that or not. So when they say “we’re nervous” out loud, on record, it moves things — regulators start drafting, investors start recalculating, and normal people start wondering exactly how much trust they’ve been handing over every time they open the app without thinking about it.

It drags up a question nobody’s actually answered, and I’m not sure anyone can. How do you keep building at competitive speed without breaking something you can’t put back together? Who even gets to draw that line — the companies themselves, governments that mostly don’t understand what they’re regulating, some oversight body that doesn’t exist yet and might never?

Note this down. When the race leaders want someone to slow them down. That tells you something like “wake up call”.

But right now, the people closest to this are all saying some version of the same thing. Pay attention. It’s moving faster than most of us are ready for.

Anthropic on What Just Happened NOW

Google Tops New AI Trust Ranking, Beats OpenAI & Anthropic

How the score actually gets calculated

Why this matters if you’re picking a tool

Your turn

The People Building AI Are Now Asking Someone to Stop Them