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Jainam Parmar

@jainamparmar.bsky.social
45 followers 9 following 1.4K posts

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Jainam Parmar @jainamparmar.bsky.social · 01/10/2026
If you made it this far, you'll love The Shift. Every day, there's a new AI breakthrough changing how people work and live. We break it down in under 5 minutes a day, so you don't. Plus, get 3,000+ AI tools and free AI courses when you join. Subscribe ⬇️ theshiftai.beehiiv.com/subscribe
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Jainam Parmar @jainamparmar.bsky.social · 01/10/2026
doi.org/10.1609/aaai...
doi.org
Hallucination as a Computational Boundary: A Hierarchy of Inevitability and the Oracle Escape | Proceedings of the AAAI Conference on Artificial Intelligence
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Jainam Parmar @jainamparmar.bsky.social · 01/10/2026
The real lesson is not that hallucinations cannot be reduced. It is that no closed model should ever be treated as an unlimited source of truth.
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Jainam Parmar @jainamparmar.bsky.social · 01/10/2026
The paper does not prove that every hallucination is unavoidable or that an LLM is “mathematically guaranteed to lie.” It argues that no closed computational system can guarantee correct answers across every possible problem.
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Jainam Parmar @jainamparmar.bsky.social · 01/10/2026
If it requires exact verification, provide calculators, databases, formal checkers, or other tools. If the system cannot reliably perform the task, it should express uncertainty or refuse instead of inventing an answer.
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Jainam Parmar @jainamparmar.bsky.social · 01/10/2026
The paper ends with a principle called Computational Class Alignment: Match the difficulty and information requirements of a task to the actual capabilities of the system attempting it. If a task requires current facts, give the model retrieval.
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Jainam Parmar @jainamparmar.bsky.social · 01/10/2026
The paper’s second proposed route is continuous learning, described as an “internalized oracle” that allows a system to update itself through interaction and feedback. Both approaches increase the system’s capabilities, but neither makes it universally infallible.
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Jainam Parmar @jainamparmar.bsky.social · 01/10/2026
Search results can be incomplete, outdated, irrelevant, or false. The model can also misunderstand accurate evidence. Retrieval expands what the system can access, but it does not guarantee correctness.
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Jainam Parmar @jainamparmar.bsky.social · 01/10/2026
The paper models Retrieval-Augmented Generation as a form of oracle access. By consulting information outside its parameters, a system can answer questions that a closed model cannot. But ordinary RAG is not an oracle of absolute truth.
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Jainam Parmar @jainamparmar.bsky.social · 01/10/2026
But under the paper’s framework, they cannot guarantee perfect accuracy across every possible input. The researchers call this a hierarchy of hallucination inevitability. They also describe two possible escape routes. The first is external retrieval.
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Jainam Parmar @jainamparmar.bsky.social · 01/10/2026
No finite model can store every possible fact, reconstruct arbitrary information it has never received, or solve problems that are mathematically undecidable. More training and larger models may reduce hallucinations on real-world tasks.
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Jainam Parmar @jainamparmar.bsky.social · 01/10/2026
Its conclusion is narrower, but more defensible, than “hallucinations can never be fixed.” For any fixed model relying entirely on its internal parameters, there will always be some questions it cannot answer reliably.
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Jainam Parmar @jainamparmar.bsky.social · 01/10/2026
RESEARCHERS MATHEMATICALLY SHOWED WHY A CLOSED LLM CANNOT BE CORRECT ABOUT EVERYTHING The paper models an LLM as a probabilistic Turing machine and examines it against three fundamental limits: → Diagonalization → Incomputability → Information theory
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Jainam Parmar @jainamparmar.bsky.social · 16/09/2026
If you made it this far, you're exactly who The Shift is for. And it's free. Every weekday, we break down one AI tool, strategy, or breakthrough. In under 5 minutes. Plus, get access 3,000+ AI tools, and 500+ mega prompts when you join. Subscribe ⬇️ theshiftai.beehiiv.com/subscribe
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Jainam Parmar @jainamparmar.bsky.social · 16/09/2026
Signing a child up for lessons begins the opportunity. Repeated practice is what appears to change the brain. pubmed.ncbi.nlm.nih.gov/16597769/
pubmed.ncbi.nlm.nih.gov
Effects of music training on the child's brain and cognitive development - PubMed
Research has revealed structural and functional differences in the brains of adult instrumental musicians compared to those of matched nonmusician controls, with intensity/duration of instrumental training and practice being important predictors of these differences. Nevertheless, the differential c …
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Jainam Parmar @jainamparmar.bsky.social · 16/09/2026
The evidence supports a more precise conclusion: During childhood, sustained instrumental practice can shape developing brain structures involved in coordinating information and movement across both sides of the body.
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Jainam Parmar @jainamparmar.bsky.social · 16/09/2026
An earlier 2005 review reported improvements in motor and auditory abilities, but said broader transfer effects in mathematics, verbal skills, and spatial reasoning were still uncertain.
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Jainam Parmar @jainamparmar.bsky.social · 16/09/2026
The studies did not prove that the change is permanent after someone stops playing. They also did not show that a larger corpus callosum automatically produces faster thinking, superior verbal memory, or better performance across unrelated tasks.
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Jainam Parmar @jainamparmar.bsky.social · 16/09/2026
However, those studies could not establish whether music created the difference or whether people with different brains were more likely to become musicians. The longitudinal study offered stronger evidence that intensive childhood practice can influence how this pathway develops.
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Jainam Parmar @jainamparmar.bsky.social · 16/09/2026
That detail matters because the finding was associated with sustained practice, not merely being enrolled in music lessons. Earlier cross-sectional studies had also found that professional musicians who began training before age seven had larger anterior corpus callosum areas than non-musicians.
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Jainam Parmar @jainamparmar.bsky.social · 16/09/2026
After 29 months, the high-practice group showed significantly greater development in a section of the corpus callosum connecting premotor and supplementary motor areas. Practice intensity also predicted the amount of structural change and improvement on a motor-sequencing task.
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Jainam Parmar @jainamparmar.bsky.social · 16/09/2026
→ High practice: two to five hours each week → Low practice: one to two hours each week → Control group: no instrumental training At the beginning, researchers found no significant differences in corpus callosum size between the groups.
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Jainam Parmar @jainamparmar.bsky.social · 16/09/2026
Researchers led by Gottfried Schlaug followed 31 children between five and seven years old for approximately 29 months. Eighteen children received instrumental lessons, while 13 received no instrumental training. The children taking lessons were separated according to how much they practiced:
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Jainam Parmar @jainamparmar.bsky.social · 16/09/2026
Playing an instrument places unusual demands on that connection. A musician may read notation, track rhythm, listen to the resulting sound, and coordinate different movements with both hands at the same time.
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Jainam Parmar @jainamparmar.bsky.social · 16/09/2026
CHILDREN WHO PRACTICED AN INSTRUMENT INTENSIVELY FOR 29 MONTHS DEVELOPED A MEASURABLE CHANGE IN THE BRIDGE BETWEEN THEIR BRAIN’S HEMISPHERES The corpus callosum is the major bundle of nerve fibers connecting the brain’s left and right hemispheres.
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Jainam Parmar @jainamparmar.bsky.social · 10/09/2026
If you made it this far, you'll love The Shift. It's free. Every weekday, we break down the AI tools and strategies worth your attention, in under 5 minutes. Plus, get instant access to 3,000+ AI tools and 500+ mega prompts. Subscribe ⬇️ theshiftai.beehiiv.com/subscribe
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Get the latest breakthroughs, tools, and strategies to level up at your work all in under 5 minutes a day, delivered 5 days a week.
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Jainam Parmar @jainamparmar.bsky.social · 10/09/2026
Medical education has relied on largely flat materials for more than a century. This experiment shows what happens when educational tools are designed around how anatomy is actually understood, rather than simply how it fits onto a page.
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Jainam Parmar @jainamparmar.bsky.social · 10/09/2026
That matters because understanding anatomy requires more than memorizing labels. Students must understand where structures sit, how they overlap, and why their appearance changes as a scan moves through the body.
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Jainam Parmar @jainamparmar.bsky.social · 10/09/2026
A developer spoke with medical students, identified these problems, and used GPT-6 Astra to build one tool that connects all three. Students can move between the familiar anatomy diagram, the corresponding CT slice, and the complete 3D relationship without rebuilding the connection.
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Jainam Parmar @jainamparmar.bsky.social · 10/09/2026
→ Textbook diagrams flatten three-dimensional organs into a single view → CT slices feel disconnected from the anatomy diagrams students memorize → Reading a scan requires tracking patient orientation, slice direction, and changing organ shapes simultaneously
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Jainam Parmar @jainamparmar.bsky.social · 10/09/2026
SOMEONE USED GPT-6 ASTRA TO RETHINK HOW MEDICAL STUDENTS LEARN ANATOMY Medical students have spent decades working around the same three problems:
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Jainam Parmar @jainamparmar.bsky.social · 08/09/2026
If you made it this far, you'll love The Shift. Every day, there's a new AI breakthrough changing how people work and live. We break it down in under 5 minutes a day, so you don't. Plus, get 3,000+ AI tools and free AI courses when you join. Subscribe ⬇️ theshiftai.beehiiv.com/subscribe
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Get the latest breakthroughs, tools, and strategies to level up at your work all in under 5 minutes a day, delivered 5 days a week.
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Jainam Parmar @jainamparmar.bsky.social · 08/09/2026
That may be the real bottleneck for autonomous AI. Study: CivBench: A Long-Horizon Benchmark for Tool-Mediated Agents in Civilization VI arxiv.org/pdf/2609.02459
arxiv.org
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Jainam Parmar @jainamparmar.bsky.social · 08/09/2026
That matters far beyond games. Companies are preparing to give AI agents control over complex workflows, financial operations, and autonomous systems. Making these agents smarter may not be enough.
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Jainam Parmar @jainamparmar.bsky.social · 08/09/2026
The researchers describe this as an attention-allocation and execution problem. A model can reason brilliantly about the current moment while still failing to maintain awareness, remember commitments, and follow through over hundreds of steps.
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Jainam Parmar @jainamparmar.bsky.social · 08/09/2026
They would record commitments such as “found a second city” or “check victory progress,” then fail to execute them within the next 10 turns. Only 48.2% to 65.8% of stated commitments were carried out across the models with enough data to analyze.
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Jainam Parmar @jainamparmar.bsky.social · 08/09/2026
First, the agents failed to monitor critical information. In 7 of 20 defeats, a rival was visibly approaching victory, but the model never checked the available victory data during the final 20-turn warning window. The threat was detectable. The agent simply failed to retrieve it.
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Jainam Parmar @jainamparmar.bsky.social · 08/09/2026
Civilization VI requires constant coordination across economics, science, diplomacy, expansion, and warfare. Across 23 full-game runs, two failures repeatedly appeared.
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Jainam Parmar @jainamparmar.bsky.social · 08/09/2026
Researchers made Claude, GPT, Gemini, and Kimi play Civilization VI for hundreds of turns. The results exposed a major weakness in today’s AI agents: They can create impressive strategies, then lose track of them.
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Jainam Parmar @jainamparmar.bsky.social · 07/09/2026
If you made it this far, you'll love The Shift. It's free. Every weekday, we break down the AI tools and strategies worth your attention, in under 5 minutes. Plus, get instant access to 3,000+ AI tools and 500+ mega prompts. Subscribe ⬇️ theshiftai.beehiiv.com/subscribe
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The Shift AI
Get the latest breakthroughs, tools, and strategies to level up at your work all in under 5 minutes a day, delivered 5 days a week.
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Jainam Parmar @jainamparmar.bsky.social · 07/09/2026
Just one person making difficult science feel understandable by letting people reach into the explanation and play with it. ciechanow.ski
ciechanow.ski
Bartosz Ciechanowski
Interactive articles about science and engineering.
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Jainam Parmar @jainamparmar.bsky.social · 07/09/2026
Each article contains thousands of words and dozens of hand-coded diagrams that let readers manipulate the concept instead of merely reading about it. He writes everything himself, publishes only a few articles each year, and keeps the site accessible without ads or paywalls.
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Jainam Parmar @jainamparmar.bsky.social · 07/09/2026
→ The Moon and ocean tides → GPS and satellite positioning → Gears and mechanical watches → Internal combustion engines → Bicycles and balance → Cameras, lenses, and light → Sound waves → Airfoils and flight
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Jainam Parmar @jainamparmar.bsky.social · 07/09/2026
None of these are videos. Every mechanism is a live, interactive simulation running inside the browser. He has created similar visual explanations for:
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Jainam Parmar @jainamparmar.bsky.social · 07/09/2026
You can: → Rotate the watch in 3D → Peel away its case with a slider → Wind the mainspring by hand → Slow down time to study the escapement → Watch the balance and date wheels move
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Jainam Parmar @jainamparmar.bsky.social · 07/09/2026
The site is called ciechanow.ski. Open his article about mechanical watches.
ciechanow.ski
Bartosz Ciechanowski
Interactive articles about science and engineering.
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Jainam Parmar @jainamparmar.bsky.social · 07/09/2026
Someone quietly built one of the best physics textbooks on the internet and made the entire thing free. His name is Bartosz Ciechanowski. He is a former iOS engineer who creates deeply researched, interactive articles about physics, mathematics, and engineering in his spare time.
ciechanow.ski
Bartosz Ciechanowski
Interactive articles about science and engineering.
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Jainam Parmar @jainamparmar.bsky.social · 04/09/2026
If you made it this far, you'll love The Shift. Every day, there's a new AI breakthrough changing how people work and live. We break it down in under 5 minutes a day, so you don't. Plus, get 3,000+ AI tools and free AI courses when you join. Subscribe ⬇️ theshiftai.beehiiv.com/subscribe
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The Shift AI
Get the latest breakthroughs, tools, and strategies to level up at your work all in under 5 minutes a day, delivered 5 days a week.
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Jainam Parmar @jainamparmar.bsky.social · 04/09/2026
philpapers.org/archive/LERT...
philpapers.org
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Jainam Parmar @jainamparmar.bsky.social · 04/09/2026
But when the computation stops, the paper argues that no conscious observer disappears into the dark. Read the research
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