most people speak about 150
words per minute, and read 200 wpm.
most type about 50 wpm and listen around 150 wpm.
text-to-speech, and speech-to-text is the optimal interface that gets us closest to thinking velocity.
yet our thinking is mostly limited and constrained by our language.
Esperanto fan??
I'm learning sanskrit. The density is much higher. Once you get past Sandhi it becomes easier.
🤯
While text-to-speech and speech-to-text do bring us closer to the speed of thought, language itself can act as both a bridge and a barrier. It structures our thinking but also limits it to what can be expressed. Some argue that non-verbal cognition like intuition, emotions, or visual thinking operates beyond linguistic constraints.
Do you think advancements in AI or brain-computer interfaces could help us bypass these limitations?
I can’t watch most TV without subtitles anymore
That’s where the inner voice needs to be listened to. The intuition. Easy said than done though, we almost always ignore it.
Thanks for the feedback,You can also connect with me directly now on simpieX Chat with the link below
I really feel it's more constrained by opposing forces who want to control what you can and cannot say. If you can't say it, you can't speak it, and text to speech isn't going to change any of that. Your thoughts are mine energy.
I think you distill more actual information from reading it.... for me at least. speech usually goes in one ear and out the other.
Visual impaired folk are leading the charge in this field. You’d be shocked how well the tech works when it’s your only option - and you practice a lot.
Word
based. on top, writing creates clarity.
I can do it all around 69 wpm
You should sponsor a crack team of defrocked academics to design a 21st century esperanto
I always imagine language as a compression algorithm
👏☺️
With training you can read much faster than 200 wpm. I think most people read at the pace of conversation though
Why text-to-speech? You just said it was slower than reading and I agree
I concentrate better by reading than listening.
Same here. I need more time to gather my thoughts and decide how to execute.
Jack, could answer my dm
Thanks for the feedback,You can also connect with me directly now on simpieX Chat with the link below
Susan is a prominent investor in the cryptocurrency space, known for her insightful strategies and deep understanding of the rapidly evolving digital asset market. With a strong focus on Bitcoin and other major cryptocurrencies, she navigates the complexities of blockchain technology, market cycles, and regulatory landscapes to make informed trading decisions. Susan approach combines technical analysis with a keen eye on macroeconomic trends, allowing her to identify long-term opportunities while managing risk in the volatile crypto market. Her trading style emphasizes patience and adaptability, helping her capitalize on both bullish trends and market corrections. Investors following her moves are often drawn to her disciplined yet forward-thinking approach to crypto trading... Inbox 👍
Susan on WhatsApp: +13184079133
For more guide 🙏💯
Kaldi text to speech engine is open source and amazing. Runs on an old android phone with decent speech.
Speaking of which, does anyone have a good TTS app that works on graphene os (no google play store)? @voice with rhvoice is the best I've found so far but is pretty robotic
My typing is unequivocally superior to my speech due to a neurological disorder. I’ve been hoping for a technology that allows me to speak with the proficiency I type with for most of my life.
I will struggle in a digital world built on speech even more than I do in the physical world.
By our food, our understanding, our audience, the entire ecosystem around us.
Parralelise and improve concurrency instead
Interesting. I’d think human cognition like senses, emotions, intuition, experiences add depth to thought process but vocabularizing thoughts to words is a diff element. It's like that whorf hypothesis vs mentalist theory I guess.
There are over 170k words in English and we typically speak 1-2% and understand 10-20% of it. AI would have better word selections, humans have better senses. I’ve been experimenting with brain rewiring during deep sleep as neural pruning happens at this time. Toxic day - restless emotion wiring, growth focus day - better cognitive capacity and pairing this with higher lexicons with auditory dictations (w background sound) for better cognitive flexibility, articulation, and deeper reasoning. I don’t know yet if it works.
I think being multilingual can expand your mental toolkit but there will always be certain nuances that are lost in translation. I speak in 4 languages but I can't always translate one idea from a language to another as certain words are unique to that context (also my brain database is rusty)
Btw, on a previous note on AI and internet and memory loss, apparently handwritten notes and writing in journals can counter cognitive loss that happens when your brain outsources problem-solving through AI and tech. And also deep thinking and reasoning strengthen that neural pathway. Something to do with strengthening the hippocampus (temporary memory) that transfers to long term storage
(200w, this would have taken a min)
I get how speech to text helps
How does text to speech help ? Given that we (apparently) read faster than we listen
# 🔍🇧🇷
And then there is also the fact that we tend to read at a much slower wpm because most of us tend to make the sounds while we read.
We don't need to mouth the words or make them barely audible. It's just a belief inside your brain that you won't understand the contents if you don't sound it out.
This is why it's good to have options.
I don't need voice to text message someone to say "I'll be there in 5 minutes." Thumb typing that isn't a horrifying waste of time.
If I need to explain a nuanced and complicated issue, a keyboard makes more sense than thumb typing, but voice may make the most sense as more communication per unit of time is possible that way.
The benefit text has over voice is transcript review.
Ideally we reap the benefits of all of these methods of communication.
Notes on Language Differences:
- Talking and Listening: Speech tempo varies across languages due to syllable length, word length, and phonological structure. For example, Spanish speakers may articulate more syllables per minute due to shorter syllable durations, while languages like Finnish or Slovenian have longer words, resulting in lower WPM rates. English typically averages around 150 WPM for speech and 170–240 WPM for reading.
- Typing: Typing speed can be influenced by the complexity of the writing system (e.g., alphabetic vs. logographic languages like Chinese) and the frequency of special characters or diacritics.
- Reading: Reading speed is influenced by word length, syllable structure, and character complexity. Alphabetic languages with shorter words (e.g., English, Spanish) tend to have higher WPM rates, while non-alphabetic languages (e.g., Chinese, Japanese) or languages with longer words (e.g., Finnish) have lower WPM rates.
Additional Considerations:
- Age: Younger individuals and children typically have slower rates across all activities due to developing skills, while older adults may experience declines due to cognitive or motor skill changes.
- Sex: Differences are generally minimal and context-dependent, with some studies suggesting slight variations in speech or typing speed.
- Education: Higher education often correlates with faster rates due to improved literacy, vocabulary, and technical skills.
Individual Variation: These averages are broad estimates, and individual performance can vary widely based on practice, familiarity, and context.
Below is a table summarizing the average words per minute (WPM) for talking, listening, typing, and reading, along with breakdowns by special groups such as age, sex, education, and notes on language differences. The data is based on available research and general trends observed in studies. Note that these values are approximate, as individual variation and context can significantly affect the rates.
I don't know... that all sort of discounts things like countenance, inflection, and gesture. Reading forces us to infer an awful lot of context, and text forces us to translate those things into a singular form of expression. I'd say reading appears faster because we're processing 1 language at a time instead of 2 or 3 or more. Can I parse your sentiment faster than you can convey it? Maybe our thinking is limited by language only because the process of thinking is actually distilling so many languages into a single language that becomes actionable, of which only part is verbal? The operating system is limited by the capacity of the hardware. Just other angles to consider.
yes and individual thought processes matter. i like to go back and forth on the drafts of long written pieces - hand write, type, speak certain sections - because each offers a different speed of processing and a different value to the finished product.
And our tokens per second are constrained to about 10 TP/S with off rhe shelf GPU tech and Ai services at present market limits
that's why we are on the verge of unlocking telepathy on a bigger scale throughout the collective. happy to practice with you, if you'd like. I am a concentrated third eye gaze away. zap me anytime. I will answer if I happen to be available and we can brainstorm, mastermind, unify and alchemize, the rebirth of a liberated civilization with freedom tech stack at the core.
I can type way more than 59 WPM. But it comes out retarded.
In terms of speed, I agree with your assessment.
yes it is limited and constrained by our language and by our ideology.
Why are you companies so weak compared to mstr, don’t believe in stacking? Fiat on books better?
If you only speak one language you are missing out.
the numbers square up with this estimation of human consciousness bandwidth: https://arxiv.org/abs/2408.10234
for most….
How about slowing down and just enjoy a real deep conversation 😅
For sure, there’s a time and place for both.
Very profound. So potentially if thought-to-text was possible as tech at 200 wpm as method of communication would get us all faster.
Next step would be of course to hack language to get past 200wpm.
Example pictures, charts could probably get comprehension past 200wpm!! So creating pictures or charts from body of text would be valuable too.
#LLMs
But that ignores the fact that in audio you can't "scan". While text you can skim through many words. This may not help you obtain more info but you'll definitely cut through crap faster in text then in audio.
Plus, on the producing side, you generally don't reach this level of speed because you need to factor in the formation of the text, which ends up in multiple words and pauses to gain time, and that have zero information density.
Your proposition is only true in a situation where a) you know exactly what you want to say and b) you know for sure you need to hear the full audio (and there is no garbage in between).
Listening Podcasts in 2x increase the amount of wpm to 300. My thinking ist leveraged already😉😅
Geometry is a brilliant language to think in
> text-to-speech, and speech-to-text is the optimal interface that gets us closest to thinking velocity.
...unless you don't think in words! ;)
why is language a constraint?
reading is better
I also invest a lot of time and money in learning English myself. In China, learning English is at least better than 98% of Chinese.
Only 2% of Chinese people know English.😛
Been thinking about why LLMs leads the charge in what people consider as AI and this is the closest explanation. It’s the ideal HCI realized.
I still like Twitter, which is the best platform to learn English.
Many people don't know. Twitter is the best social software to learn English...😀😀
Chinese is the most difficult language to learn in the world. Chinese people can learn the most difficult languages well.
But Chinese people just can't learn English well.
This is also the strangest thing.😂😆
Americans will go crazy if you learn Chinese. 😜
So Americans don't need to learn Chinese. It's too difficult. 😖
Chinese characters are indeed beautiful language and writing.
But it is only valuable in literature and love between men and women.
Chinese characters are a language that has accumulated more than 3,000 years of history.😛😋🤪
China has a book called Tao Te Ching. (道德经）A philosophical work that influenced the world written by Laozi during the Spring and Autumn Period and the Warring States Period.
This philosophy book is now about 2481 years old.
This book is too difficult to understand. many Chinese people don't understand too.
There are only 5,000 Chinese characters in the original text.
This book told everything in the world very wisely.👍👍
中文要表达思念一个人的表达方式非常有文采和智慧。
The ancient Chinese wrote wonderful words about missing a person.😛
for example：
一生只爱你一人。
中文古人这样说：
既许一人已偏爱，愿尽余生之慷慨。
很高兴认识你：
三生有幸遇见你，纵使悲凉也是情。
很思念一个人：
思念如马，自别离未停蹄。
也可以这样表达：
事关休戚已成空，万里相思一夜空。
如果你对一个人很牵挂又放不下这个人，应该这样说：
菩提树下说执迷，云海众生都是你。
如果你很想一个人非常想见，但是又不敢去见那个人，就这样说：
锦书难托思君意，笔下付尽心中情。
如果你跟女孩子谈恋爱后又分手了这样来表达：
终有若水💦替沧海，再无相思寄巫山。
就说你跟对方分手了，你会遇到更好的爱人。😜😜😜
中文很好玩就是中文古诗词用来写情书、表达爱意最美的又迷人的语言…😛😛
Do you think this could also apply to creative work? Where generally ink is blood? Would velocity constrain or enhance? Genuinely curious.
Have you found it helpful for creativity as well as efficiency?
music or vodz or streaming or essays on cocaine or neural-chip interface uploading nvme etc: quickest mechanix to transfer quantum data via ~wavez~ which is faster than a photon with wave mass but no rest mass ( can go thru electromagnetic barriers and disrupt electromagnetic bridges so adjust quantum-bridges accordingly ) 
Spoken language is essentially multidimensional text from our brains converted into unidimensional audio = it is a proto ”text to speech” technology
yet 24 words mean everything possible
or maybe 100 words
a thought can be compressed
with words, if you move to fast
you just loose your audience !
i think i slow in everything
the speed of language seems to really be the speed of thought indeed
I really like this idea however how slow is it when you need to go back and check/edit the mistakes from voice to text.
I would say voice to text has gotten a lot better lately, though
My thought runs at about 2 pages per minute. Maybe that's why it's so hard for me to communicate. I never manage to put my whole thought into words.
High Thinking Velocity flow:
1. Voice-In, Thought-Out:
• Convert incoming spoken language into high-quality text via a state‐of‐the‐art TTS system.
• Process user voice inputs instantly so that ideas are captured in real time, reducing the cognitive overhead of typing.
2. High-Performance, Adaptive LLM:
• Use an LLM tuned for clarity and speed—one optimized for summarization and rapid Q&A—to rapidly distill and generate comprehensible content.
• Fine-tune the LLM for context-based understanding, ensuring tailored responses for diverse task domains while leveraging both active learning and reinforcement strategies for continuous performance enhancement.
3. Seamless TTS Feedback Loop:
• Immediately convert the LLM’s generated text back into spoken words through an ultra-low-latency TTS engine so that users receive auditory feedback that syncs seamlessly with their thought process.
• Enable an iterative dialogue where the user’s spoken clarifications feed back into the system, creating a dynamic loop that refines content, sparks inspiration, and reduces friction in thought articulation.
4. Synchronized Integration for High Cognitive Throughput:
• Architect the system to ensure nearly instantaneous transitions between user voice input, text processing by the LLM, and auditory output—all synchronized to maintain the natural rhythm of thought flow.
• Optimize hardware and software pipelines (e.g., using edge computing or dedicated TTS/LLM accelerators) to reduce processing lag and prevent any cognitive disruption or workflow “hiccups.”
4. Enhanced Cognitive Flow & Iterative Refinement:
• Incorporate real-time feedback and clarification suggestions, allowing the user to continuously refine their input as the LLM learns contextual nuances through active interaction.
• Employ adaptive reinforcement methods so that the system evolves with each interaction, bringing increased clarity, precision, and efficiency with every cycle of dialogue.
Nearly half of teenagers globally cannot read with comprehension.
I stopped reading old school since AI
I don't speak much because I'm too occupied with thinking 200 mph and I barely keep up with my mind.
Come join jack! nostr:npub1ms9ujlulcgtpqn2uzpvhplee9l5kjg8jgqhrwmgutg0n7xk43nqq07qa0v put his soul into this code. It’s ready for mass testing, just need people to run relays.
nostr:note1ltvky54rsdppk8anq6upxvjftm8nkkj6gmvw45lk2lvjglek6v5qw66k88
