Can we take a minute to talk about the game-changing announcements @Stripe just made last week?
If you run a global AI SaaS product (like @InterviewBee_ai) they matter—big time. 🧵
@boltdotnew We've been waiting for this feature for so long at https://t.co/EzFZUUDrba . This is going to be a game changer. We used a plugin to enable this previously. All the frontend for @InterviewBee_ai has been built using https://t.co/OoombOOKSc ! @boltdotnew
“Is live interview assistance cheating?”—let’s talk about the stigma
When résumé screeners turned into ATS bots, no one called it cheating. When coders moved from memory to Stack Overflow, no one said “unfair.” Yet give candidates an AI co-pilot that whispers bullet-point reminders and suddenly the word crutch appears. Here’s why that thinking is outdated:
1. Tools evolve, standards follow
Calculators didn’t cheapen math; they freed engineers to tackle bigger problems. Real-time prompts do the same for knowledge work—less brain-RAM on syntax, more on judgment.
2. Transparency is built-in
Good assistants (InterviewBee included) surface concise cues, not copy-paste scripts. Interviewers still hear your voice and reasoning—just minus the blank-screen panic.
3. Bias shrinks when recall pressure falls
Research shows stress magnifies performance gaps unrelated to skill. Off-loading trivia levels the field for non-native speakers, neuro-diverse talent, and anyone prone to “interview brain freeze.”
4. The market is already moving
Top performers walk into calls with ChatGPT tabs, searchable PDFs, or silent browser extensions. Ignoring that reality punishes transparency, not integrity.
The real question isn’t “Should AI whisper help be allowed?” It’s “Do we want hiring to measure memorization or impact?” If you’re in the second camp, see how InterviewBee delivers sub-2 s prompts that raise offer rates 56 → 84 %—no scripts, just sharper answers.
Curious? https://t.co/HGoa130BYM—because the fairest interview is the one that tests thinking, not flash-card stamina.
Three interview myths AI just killed :
Myth #1 – “You must memorise every API.”
AI Assistants/Copilots can surface docs in real time, so recall is commoditised. The signal that matters is how you reason with fresh information, not how many function names you can recite.
Myth #2 – “Cheat sheets are cheating.”
Structured cues aren’t a shortcut; they level the field the way calculators did for arithmetic. Interviews should reward judgment under pressure, not trivia locked in memory.
Myth #3 – “Live grills are objective.”
Studies show interviewer mood and implicit bias can swing outcomes by up to 40 %. Recorded, rubric-driven, AI-assisted assessments expose that noise and keep the focus on skill.
A 2030-ready interview is structured, auditable, and designed for AI-augmented candidates. That’s why we built @InterviewBee_ai: real-time talking cues in ~1.6 secs, no canned scripts—just sharper answers.
Ready to replace 1921-era rituals with 2030-grade fairness? Check out → https://t.co/HGoa130BYM
Why the 1921-style/current style of interviews won’t survive 2030 :
In 1921 Thomas Edison quizzed applicants on 150 trivia questions—“Where is Bavaria?” “How is white lead made?”—to decide who deserved a job. A century later most interviews still look the same: memory drills, gut judgements, one chance to prove years of skill. That ritual can’t keep pace with the decade ahead.
Five shifts are breaking it apart.
1) AI prep means anyone can memorize perfect textbook responses in an hour.
2) Remote work unlocks a global queue for every role, and manual screening can’t scale.
3) Tech skills expire every 18-24 months, so static Q&As age overnight.
4) Distributed teams care about written output and recorded demos, not 45-minute pop quizzes.
5) Regulations now demand auditability; “we just liked them better” won’t fly.
Most important: top talent already shows up with AI Assistants — hiring processes that ignore augmentation will mis-measure the very people they want most.
A 2030-ready assessment is structured, recorded, portfolio-first and built for augmented candidates. That’s the idea behind https://t.co/edsEOko85y. Our real-time assistant listens during the call and surfaces concise prompts in about 1.6 seconds, turning good answers into standout ones. In early beta, offer rates rose from 56 % to 84 % across 200 tech, product and consulting interviews. No copy-pasted scripts—just calibrated cues that keep the conversation human but sharper.
If you’re interviewing: Check out https://t.co/HGoa130BYM and take a 2030-grade copilot to your next interview. The Edison-era interview had a good run; let’s retire it before the decade does it for us.
I found an old collection of my tweets put together in a notion doc
Topics:
🔸 Processes
🔸 ML Engineering
🔸 MLOps
🔸 Data science
🔸 Data engineering
🔸 Tools
🔸 Math
🔸 Learning ML
And other things
100+ tweets in total
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@the2ndfloorguy Oh okay. Thats great. Keep going. And keep writing. Your articles are very resourceful. Maybe after some time you can write about your freelance experience ?
@vccgenerator Hello, there is there any way you guys would share your dataset with other developers? Or open source it?
PS. VCCGenerator is a really great tool. Thanks.
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Hello Londoners,
Come and join us TOMORROW at 12pm in Huckletree Shoreditch, for an exciting storytelling presentation on startup growth advice presented by @chintanmaisuria, GrowthRabbit CEO.
https://t.co/zefEerQHSv