Imagine a tech conference having no CFP, as they reach out to speakers directly. They successfully attract some of the most heavy hitter men speakers in tech, and 3 women speakers.
Now imagine my surprise that 2 of those women are FAKE profiles.
They do not exist.
Nada.
I contacted speakers I know about this.
They had no idea.
One of the fake women profiles is supposedly a core Ethereum contributor, and a staff engineer at Coinbase.
No such contributor, no one heard of her at Coinbase now or before.
Why do this?
Sad to say but going forward if you are invited to speak at a lesser-know conference: do your diligence… if other listed speakers actually exist?!
This is a paid online conference, large number of (paid) attendees, workshops sold out.
What a mess.
Just to be very clear this is about the organisers creating fake profiles.
To spell it out why this conference generated fake women speakers. Because the organizer wants big names and it probably seemed like an easy way to address their diversity concerns.
Well, where Anna Boyko, Staff engineer at Coinbase and Ethereum core contributor is a speaker.
Her. She doesn’t exist. Except as a listed speaker at a prominent online conference!
Or another Java conference by the exact same organizer where Microsoft MVP and WhatsApp senior engineer Alina Prokhoda is a featured speaker.
Would you know there is no such Microsoft MVP and Meta employee.
Speakers listed on these conference had no idea I talked with…
This conference doesn’t have a call for papers because they follow the “Hollywood principle” (that sounds made up btw)
But then do AI generated images, fake names and titles for some fake women speakers profiles… and I cannot fathom WHY.
Absolute laziness and dubious ethics.
If you bought tickets to DevTernity (“DevTernity”) on 7-8 Dec you’ve been duped with fake speaker Anna Boyle who is still on the website. A made up profile, AI image, no such staff eng at Coinbase.
And some other listed women speakers don’t actually talk
And if you are planning to buy tickets to JDKon 2024 (#1 international conference designed specifically for professional Java developers.) on 22-24 May 2024: save your money because Alina Prokhoda doesn’t exist either.
Anything organized by “Dev events” is by the same organizer who creates these fake women speakers (and has some in the past as well) for some mysterious reason.
All their conferences:
I would avoid like the plague with such dubious ethics.
What do you know - after being called out, the organizer is removing some fake women profiles.
Here’s the archived website. Fake Anna Boyle (staff eng at a Coinbase, core Ethereum contributor) was there for only 10 months, while most tickets were sold.
The website had a public GitHub repo where you could see the full edit history that someone found and pointed to me.
You could see eg how fake Anna was added 10 months ago. Or how after being called out for what it is, the organizer removed fake women speaker profiles.
The organizer responded, claiming he tried so hard to get women speakers but it’s… too hard. For a paid (!) conference w a price of €789 / $870 per person.
Meanwhile others just… invite a variety of people, including so many women. They exist. If you actually care that is.
The conference website is up and fake Anna removed.
But fake Julia is still there. Listed every year as a speaker, never delivered a talk any year (and “dropped out” this year as well) @lizthegrey did some digging.
@lizthegrey The organizer claims they 1x accidentally added a fake speaker to their conferences. But actually:
2021 & 2022: fake Natalie & Julia
2023: fake Anna, Alina & Julia
All listed as speakers. Never delivered a talk. Not removed from the site till this thread.
Once a mistake, sure.
@lizthegrey Several speakers cancelled, already let the organizer know they won’t present.
I don’t blame them for not wanting to endorse a conference with a history of catfishing with fake women speakers for years.
As fast as the organizer was to remove fake Anna, they are still listed.
@lizthegrey Conference page lists speakers who have cancelled. Several others have asked to be removed.
No one with a sense of integrity will want to be associated with such a conference. One where organisers created fake speakers for 3 years in a row and still deny there was a problem.
@lizthegrey Speakers have been cancelling en masse and asking the organizer to disassociate them from DevTernity and JDKon. They are still on the site so are making it clear in public they have no further association.
Imagine duping such high profile folks. What was this organizer thinking.
@lizthegrey For years, this conference series (DevTernity, JDKon) has been duping speakers who care about diversity and nominate underrepresented speakers for non-diverse lineups.
Obviously on top of duping customers paying ~$800 per ticket for speakers who do not exist.
This thread started as fake speaker accounts at DevTernity and JDKon.
It ends with what is very likely a catfishing Instagram account operated for 5 years: Coding Unicorn. Growing it to 115K Insta followers to promote the conference.
Automattic - the creator of WordPress, a company raising $950M in VC funding - took a paid WordPress plugin built and owned by another dev and re-published it, making it free.
If you have a business selling a paid WP plugin: Automattic can null it, anytime.
I used to be a big Automattic / WordPress fan (my blog used WordPress for many years, and I admire companies investing in open source.)
Automattic has turned into a corporation ignoring open source ethics though, in its bid to take out its biggest rival WP Engine.blog.pragmaticengineer.com/did-automattic…
WP was so popular in part thanks to the tens of thousands of plugins - built by devs who liked the platform.
This trust is slowly but surely gone. Devs who would have chosen WP don't do so. And so the platform grows less.
Automattic hurting all of WordPress. Maybe on purpose?
And yes, Sonos used to have a great software experience.
I got my first Sonos around 2019 or so I think - and the setup and tuning were very nice (positioning speakers in a room for best performance.) Worked well for me at least.
Major banks skipped due diligence on the deal when providing massive loans to the world's wealthiest person buying Twitter for $44B, assuming they would make a quick buck by selling on these loans.
But they cannot sell it on and make money on it?
The full story by WSJ:
It's hard to feel sorry for massive banks that don't make the quick buck they expected to do, because they loaned for an objectively terrible deal? (Twitter was sold for 2-3x the value of Snap, despite fewer users, similar rev)wsj.com/tech/elon-musk…
FWIW Snap today:
- Has ~2x as many users as we can assume X has (Snap: more than 800M MAU)
- Has ~2x as much annual revenue (about $5B)
- Is worth $15B
... meaning X would be valued no more than $15B today, most likely.
It's notable that coding assistants like Copilot, Tab9 and many others are available in most IDEs... save for XCode.
This means we have an unlikely "control group" to determine if these AI assistants make a major difference in coding: native iOS devs vs everyone else!
Assuming these coding assistants provide a meaningful and long-term productivity boosts: teams doing web and Android development using these tools (e.g. via Jetbtains or GH Copilot) *should* be meaningfully more productive vs iOS folks.
Interesting if we'll see major differences
The reason for this is how XCode seems to be deliberately hostile for extensions: and so the inline coding extensions that IDEs like Visual Studio and Jetbrains IDEs support (and that AI tools use) are not available for XCode.
Outside of coding and customer service, what are areas where GenAI / LLMs result in very clear productivity gains or business gains, without a deterioration in the experience for customers?
These are two areas I currently see as "yeah, GenAI actually works here, not just a fad"
Funnily enough, even when Sundar Pichai was asked about GenAI, he seemed to only list these two examples. Two weeks ago he said:
"There are pockets, be it coding, be it in customer service, et cetera, where we are seeing some of those [GenAI] use cases seeing traction"
The "et cetera" is what I'm interested in.
Coding is a fantastic fit for GenAI:
- Simple grammar (simpler than human language!)
- Huge amount of extremely high quality training data (code that compiles!)
- Hallucinations can be limited by compile/test
- Humans review output