10+ years in Japan. The message here is much deeper from my perspective. “Let’s jump on the call” is not the solution. The guy was stripped off of his face. I love Japan for being human. Small business bar or restaurant with 3 tables. Not everything should be streamlined for a quick call solution… the process was pushed on his head. Google nemawashi decision making process
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adeptima commented on End of Japanese community support.mozilla.org/en-US... · Posted by u/phantomathkg
You are right and I don't think incentives exist to solve the issues you describe, because currently many of the building blocks people are building are aligned to erase subtleaccent differences: the neural codecs, transcription systems such as whisper want to output clean/compressed representations of their inputs.
100% agree
Did research on accent, pronunciation improvement, phoneme recognition, kaldi ecosystem, etc … nothing really changed in the public domain past few years. There’s no even accurate open source dataset. All self claimedccc manually labelled dataset with 10k+ hours was partly done with automation. Next issue, model models operates in different latent space often with 50ms chunks while pronunciation assessment requires much better accuracy. Just try to say B loud - silent part gathering energy in the lips, loud part, and everything what resonates after. Worst part there are too many ml papers from the last year students or junior phd folks claiming success or fake improvements, etc
The article itself is just a vector projection in 3d space … the actual reality is much complex.
Any comments on pronunciation assessment models are greatly appreciated
QGIS is a gold standard to verify you tools works fine and data is in a correct format ...
if you are a web based first, you have even better options to build and extend
kepler, protomaps, maplibre-gl-js
https://github.com/maplibre/maplibre-gl-js
the rest can be found on great Qiusheng Wu’s (aka @giswqs) Geo/GeoAI tutorials channels and repos
https://www.youtube.com/@giswqs/videos
but what really amazed me is how geo spatial support is growing inside of databases recently
https://duckdb.org/docs/stable/core_extensions/spatial/overv...
all mighty postgis https://postgis.net/docs/manual-3.5/postgis_cheatsheet-en.ht...
https://sedona.apache.org/latest/
https://geoparquet.org/releases/v1.0.0/
and many unlocked dataset compare to other industries
https://docs.overturemaps.org/getting-data/duckdb/
https://www.openstreetmap.org/
lot great webtools are comming for sure and you still can be 100% of most of your geospatial pipeline
p.s. want to extend the above list with self-hosted tools with minimum or none dependencies on paid APIs, and recommendations are greatly appreciated
Does anyone else miss o3?
I swear I had an understanding of how to get deep analytical thinking out of o3. I am absolutely struggling to get the same results with GPT-5. The new model feels different and frustrating to use.
miss it heavily! it could read code dumps and was superior for code analysis and todos
I still think GPT5 is really a cost cutting measure, with a company that is trying to grow to 1 billion users on a product that needs GPUs.
I dont see anyone talking about GPT 5 Pro, which I personally tested against:
- Grok 4 Heavy
- Opus 4.1
It was far better than both of those, and is completely state of the art.
The real story is running these models at true performance max likely could go into the thousands per month per user. And so we are being constrained. OpenAI isnt going for that market segment, they are going for growth to take on Google.
This article doesnt have one reference to the Pro model. Completely invalidates this guys opinion
checked my network - no one is using GPT 5 Pro ...
any feedback is greatly appreciated!!! especially comparing with o3
same sentiments with an article author - gpt5 looks like a cost-cut initiative.
my personal feeling gpt5-thinking is much faster but doesnt produce the same quality results as o3 which were capable to scan through the code base dump with file names and make correct calls
dont feel any changes with https://chatgpt.com/codex/
my best experience was to use o3 for task analysis, copy paste the result in https://chatgpt.com/codex/, work outside and vibe code from mobile
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spot on! at my place - playwright + prompts instead of hiring QA. data analytic guy is gone ... noone is missing him
today's random quotes
- "AI isn't replacing jobs. AI spending is" ...
- "he job market in India has grown 9% in 2025, so far. 53 million in new jobs. I wonder, how many jobs came from U.S. companies being off shored?"
5 trilllion off the global IT bubble funded by VC money taken somewhere else poured into GPUs and data centers
look at number of linkedin profiles in US companies like Accenture in India .... 450 000 + ... feel really bad biggest transfer of head-counts from US, chatgpt just fuelled it