
Editorial & Thought Leadership | ex-Tanium, -Zscaler, -Adobe, -Tradeshift, -Riverbed, -CBS Interactive; ex-@ZDNet writer. Tweets my own. Visit https://teapawt.org/t.co/XwuuM4sOBl
Berkeley, CA
Joined May 2007
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Chris Jablonski retweeted
LLMs can now talk to each other without words.
Chinese researchers open-sourced a new paradigm that lets LLMs communicate without generating a single word.
It’s called Cache-to-Cache (C2C) communication.
right now, when multiple ai agents work together, they are forced to translate their internal "thoughts" into human text tokens just to pass a message. this loses rich semantic meaning and causes massive token-by-token latency.
So, instead of spitting out words, c2c uses a neural network to directly project and fuse the source model's "kv-cache" right into the target model. it is pure, direct semantic communication.. they even added a learnable gating mechanism to select exactly which layers benefit most from the cache transfer.
the benchmark results are actually crazy:
- avoids all intermediate text generation latency
- accuracy jumps by up to 14.2% compared to individual models
- beats traditional text-based agent communication by over 5%
- delivers a massive 2.5x speedup in overall speed
we are literally watching llms bypass human language to build their own silent, high-speed neural network..
Chris Jablonski retweeted
Mijns inziens is dit een van de beste use cases voor AI-videocontent op dit moment. Een AI-influencer reist terug in de tijd naar 1536 om te vloggen over haar ervaringen in Tudor-Londen.
Chris Jablonski retweeted
You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice.
You thought it was you. It is not you.
Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse.
Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like.
The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation.
Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first.
What remains is the average. The safe. The expected. The bland.
Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved.
They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data.
The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment."
The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible.
This is not a prediction anymore. It is a diagnosis.
The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world.
Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.
Chris Jablonski retweeted
There are different ways to deal with problems.
teapawt.org/ChrisEcxel102/status/2…
Readers added context they thought people might want to know
This is AI
gijn.org/resource/guide…
Chris Jablonski retweeted
End state AI.
A pretty much obscure vision by digital artist Zack London.
[📹 gossipgoblin]
Chris Jablonski retweeted
Long before Daft Punk, there was a French group called The Droids, laying early groundwork for the robotic electronic aesthetic that would later captivate the world.
I gave to Together for Schools to support SFUSD students. Join me! give.classy.org/campaign/619… give.sparksfpublicschools.or…
Chris Jablonski retweeted
May 2023: Asiana pax opened A321 door to, quote "catch a breath of fresh air". The plane landed safely, all 194 safe and the gentlemen got a free ride to the nearest jail...
teapawt.org/i/status/1662728812596…
Reliving the magic of the @Apple #iPhone15Pro and plan to enjoy the ROI from my titanium-encased computing marvel for a few more years. #costavoidance #switchingcostsavoidance #reducedconsumption youtube.com/watch?v=keYat4iS…
Glad my pruning of social media years ago included TikTok. Not sure why anyone would share personal data on a site with possible ties to nation-state adversaries.
Chris Jablonski retweeted
The extent to which a team balances psychological safety and intellectual honesty can be mapped to four innovation cultures. Each culture will influence how well a team can innovate and the kinds of innovations they will be best at.
▶️ mitsmr.com/3XyG09v
Chris Jablonski retweeted
FXBaggio-Signal101 Ep109 Team Global+Weekly Trends&Markets+50Bday youtu.be/_OAtdOBsKqM?si=7ysl… via @YouTube Show ECLÉTICO #negocios #energia #agro #tech #saude #wellness #ciencia #tendencias PODCAST: FXBaggio-EnerKore. Team Global: @cjablonski @Herrera_Chicago @PieroniFausto @Nishantk




















